diff --git a/tests/benchmark_new/CL/ActivationLayer.cpp b/tests/benchmark_new/CL/ActivationLayer.cpp
index bf7b36a..bb0bf3e 100644
--- a/tests/benchmark_new/CL/ActivationLayer.cpp
+++ b/tests/benchmark_new/CL/ActivationLayer.cpp
@@ -30,37 +30,78 @@
 #include "framework/datasets/Datasets.h"
 #include "tests/CL/CLAccessor.h"
 #include "tests/TypePrinter.h"
-#include "tests/datasets_new/ActivationLayerDataset.h"
+#include "tests/datasets_new/AlexNetActivationLayerDataset.h"
+#include "tests/datasets_new/GoogLeNetActivationLayerDataset.h"
+#include "tests/datasets_new/LeNet5ActivationLayerDataset.h"
+#include "tests/datasets_new/SqueezeNetActivationLayerDataset.h"
+#include "tests/datasets_new/YOLOV2ActivationLayerDataset.h"
 #include "tests/fixtures_new/ActivationLayerFixture.h"
 
 namespace arm_compute
 {
 namespace test
 {
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
+} // namespace
+
 using CLActivationLayerFixture = ActivationLayerFixture<CLTensor, CLActivationLayer, CLAccessor>;
 
 TEST_SUITE(CL)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, CLActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/CL/BatchNormalizationLayer.cpp b/tests/benchmark_new/CL/BatchNormalizationLayer.cpp
new file mode 100644
index 0000000..d83d5de
--- /dev/null
+++ b/tests/benchmark_new/CL/BatchNormalizationLayer.cpp
@@ -0,0 +1,62 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITCLSS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/datasets_new/YOLOV2BatchNormalizationLayerDataset.h"
+#include "tests/fixtures_new/BatchNormalizationLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 });
+} // namespace
+
+using CLBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<CLTensor, CLBatchNormalizationLayer, CLAccessor>;
+
+TEST_SUITE(CL)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark_new/CL/ConvolutionLayer.cpp b/tests/benchmark_new/CL/ConvolutionLayer.cpp
index df98538..25c0048 100644
--- a/tests/benchmark_new/CL/ConvolutionLayer.cpp
+++ b/tests/benchmark_new/CL/ConvolutionLayer.cpp
@@ -34,33 +34,68 @@
 #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/LeNet5ConvolutionLayerDataset.h"
 #include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets_new/YOLOV2ConvolutionLayerDataset.h"
 #include "tests/fixtures_new/ConvolutionLayerFixture.h"
 
 namespace arm_compute
 {
 namespace test
 {
-const auto data_types           = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 });
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
+} // namespace
+
 using CLConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLConvolutionLayer, CLAccessor>;
 
 TEST_SUITE(CL)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp b/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
index 5a4536c..82e5ef1 100644
--- a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
+++ b/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
@@ -33,31 +33,58 @@
 #include "tests/datasets_new/AlexNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets_new/YOLOV2ConvolutionLayerDataset.h"
 #include "tests/fixtures_new/ConvolutionLayerFixture.h"
 
 namespace arm_compute
 {
 namespace test
 {
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
+} // namespace
+
 using CLConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLDirectConvolutionLayer, CLAccessor>;
 
 TEST_SUITE(CL)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
-                                                                                        framework::dataset::make("DataType", { DataType::F32 })),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetDirectConvolutionLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetDirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/CL/FullyConnectedLayer.cpp b/tests/benchmark_new/CL/FullyConnectedLayer.cpp
index a71c876..e3404a0 100644
--- a/tests/benchmark_new/CL/FullyConnectedLayer.cpp
+++ b/tests/benchmark_new/CL/FullyConnectedLayer.cpp
@@ -39,25 +39,46 @@
 {
 namespace test
 {
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
+} // namespace
+
 using CLFullyConnectedLayerFixture = FullyConnectedLayerFixture<CLTensor, CLFullyConnectedLayer, CLAccessor>;
 
 TEST_SUITE(CL)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
-                                                                                        framework::dataset::make("DataType", { DataType::F32 })),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetFullyConnectedLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetFullyConnectedLayer, CLFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetFullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/CL/NormalizationLayer.cpp b/tests/benchmark_new/CL/NormalizationLayer.cpp
index 7e2380c..d5ae353 100644
--- a/tests/benchmark_new/CL/NormalizationLayer.cpp
+++ b/tests/benchmark_new/CL/NormalizationLayer.cpp
@@ -40,7 +40,7 @@
 {
 namespace
 {
-const auto normalization_layer_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 });
 } // namespace
 
 using CLNormalizationLayerFixture = NormalizationLayerFixture<CLTensor, CLNormalizationLayer, CLAccessor>;
@@ -49,14 +49,25 @@
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
-                                                                                        normalization_layer_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetNormalizationLayerDataset(),
-                                                                                        normalization_layer_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetNormalizationLayer, CLNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/CL/PoolingLayer.cpp b/tests/benchmark_new/CL/PoolingLayer.cpp
index de22992..4bbaa2a 100644
--- a/tests/benchmark_new/CL/PoolingLayer.cpp
+++ b/tests/benchmark_new/CL/PoolingLayer.cpp
@@ -34,36 +34,73 @@
 #include "tests/datasets_new/GoogLeNetPoolingLayerDataset.h"
 #include "tests/datasets_new/LeNet5PoolingLayerDataset.h"
 #include "tests/datasets_new/SqueezeNetPoolingLayerDataset.h"
+#include "tests/datasets_new/YOLOV2PoolingLayerDataset.h"
 #include "tests/fixtures_new/PoolingLayerFixture.h"
 
 namespace arm_compute
 {
 namespace test
 {
+namespace
+{
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
+} // namespace
+
 using CLPoolingLayerFixture = PoolingLayerFixture<CLTensor, CLPoolingLayer, CLAccessor>;
 
 TEST_SUITE(CL)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(),
-                                                                                        framework::dataset::make("DataType", { DataType::F32 })),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, CLPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/CL/SYSTEM/AlexNet.cpp b/tests/benchmark_new/CL/SYSTEM/AlexNet.cpp
index 271ed99..4e5e729 100644
--- a/tests/benchmark_new/CL/SYSTEM/AlexNet.cpp
+++ b/tests/benchmark_new/CL/SYSTEM/AlexNet.cpp
@@ -59,7 +59,7 @@
 TEST_SUITE(SYSTEM_TEST)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNet, CLAlexNetFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::make("DataType", DataType::F32),
+                                framework::dataset::combine(framework::dataset::make("DataType", { DataType::F16, DataType::F32 }),
                                                             framework::dataset::make("Batches", { 1, 4, 8 })));
 
 TEST_SUITE_END()
diff --git a/tests/benchmark_new/NEON/ActivationLayer.cpp b/tests/benchmark_new/NEON/ActivationLayer.cpp
index beb98b4..065d15d 100644
--- a/tests/benchmark_new/NEON/ActivationLayer.cpp
+++ b/tests/benchmark_new/NEON/ActivationLayer.cpp
@@ -30,7 +30,11 @@
 #include "framework/datasets/Datasets.h"
 #include "tests/NEON/Accessor.h"
 #include "tests/TypePrinter.h"
-#include "tests/datasets_new/ActivationLayerDataset.h"
+#include "tests/datasets_new/AlexNetActivationLayerDataset.h"
+#include "tests/datasets_new/GoogLeNetActivationLayerDataset.h"
+#include "tests/datasets_new/LeNet5ActivationLayerDataset.h"
+#include "tests/datasets_new/SqueezeNetActivationLayerDataset.h"
+#include "tests/datasets_new/YOLOV2ActivationLayerDataset.h"
 #include "tests/fixtures_new/ActivationLayerFixture.h"
 
 namespace arm_compute
@@ -40,13 +44,9 @@
 namespace
 {
 #ifdef ARM_COMPUTE_ENABLE_FP16
-const auto alexnet_data_types    = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 });
-const auto lenet_data_types      = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
-const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
 #else  /* ARM_COMPUTE_ENABLE_FP16 */
-const auto alexnet_data_types    = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 });
-const auto lenet_data_types      = framework::dataset::make("DataType", { DataType::F32 });
-const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 });
 #endif /* ARM_COMPUTE_ENABLE_FP16 */
 } // namespace
 
@@ -55,21 +55,46 @@
 TEST_SUITE(NEON)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), alexnet_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), lenet_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(), lenet_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), squeezenet_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/NEON/BatchNormalizationLayer.cpp b/tests/benchmark_new/NEON/BatchNormalizationLayer.cpp
new file mode 100644
index 0000000..da0ccd4
--- /dev/null
+++ b/tests/benchmark_new/NEON/BatchNormalizationLayer.cpp
@@ -0,0 +1,65 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/TypePrinter.h"
+
+#include "tests/datasets_new/YOLOV2BatchNormalizationLayerDataset.h"
+#include "tests/fixtures_new/BatchNormalizationLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
+using NEBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<Tensor, NEBatchNormalizationLayer, Accessor>;
+
+TEST_SUITE(NEON)
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/benchmark_new/NEON/ConvolutionLayer.cpp b/tests/benchmark_new/NEON/ConvolutionLayer.cpp
index c7ffc23..a26effb 100644
--- a/tests/benchmark_new/NEON/ConvolutionLayer.cpp
+++ b/tests/benchmark_new/NEON/ConvolutionLayer.cpp
@@ -34,6 +34,7 @@
 #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/LeNet5ConvolutionLayerDataset.h"
 #include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets_new/YOLOV2ConvolutionLayerDataset.h"
 #include "tests/fixtures_new/ConvolutionLayerFixture.h"
 
 namespace arm_compute
@@ -43,9 +44,9 @@
 namespace
 {
 #ifdef ARM_COMPUTE_ENABLE_FP16
-const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
 #else  /* ARM_COMPUTE_ENABLE_FP16 */
-const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 });
 #endif /* ARM_COMPUTE_ENABLE_FP16 */
 } // namespace
 
@@ -55,20 +56,41 @@
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp
index 892976d..e6fddba 100644
--- a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp
+++ b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp
@@ -34,6 +34,7 @@
 #include "tests/datasets_new/DirectConvolutionLayerDataset.h"
 #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h"
 #include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets_new/YOLOV2ConvolutionLayerDataset.h"
 #include "tests/fixtures_new/ConvolutionLayerFixture.h"
 
 namespace arm_compute
@@ -53,22 +54,35 @@
 
 TEST_SUITE(NEON)
 
-REGISTER_FIXTURE_DATA_TEST_CASE(DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::DirectConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
-
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetDirectConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetDirectConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/NEON/FullyConnectedLayer.cpp b/tests/benchmark_new/NEON/FullyConnectedLayer.cpp
index eb56123..daeb791 100644
--- a/tests/benchmark_new/NEON/FullyConnectedLayer.cpp
+++ b/tests/benchmark_new/NEON/FullyConnectedLayer.cpp
@@ -39,25 +39,50 @@
 {
 namespace test
 {
+namespace
+{
+#ifdef ARM_COMPUTE_ENABLE_FP16
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8, DataType::QS16 });
+#else  /* ARM_COMPUTE_ENABLE_FP16 */
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8, DataType::QS16 });
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+} // namespace
+
 using NEFullyConnectedLayerFixture = FullyConnectedLayerFixture<Tensor, NEFullyConnectedLayer, Accessor>;
 
 TEST_SUITE(NEON)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
-                                                                                        framework::dataset::make("DataType", { DataType::F32, DataType::QS8 })),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetFullyConnectedLayerDataset(),
-                                                                                        framework::dataset::make("DataType", DataType::F32)),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4 })));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5FullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetFullyConnectedLayer, NEFullyConnectedLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetFullyConnectedLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 8)));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/NEON/NormalizationLayer.cpp b/tests/benchmark_new/NEON/NormalizationLayer.cpp
index de7183d..5496e18 100644
--- a/tests/benchmark_new/NEON/NormalizationLayer.cpp
+++ b/tests/benchmark_new/NEON/NormalizationLayer.cpp
@@ -41,9 +41,9 @@
 namespace
 {
 #ifdef ARM_COMPUTE_ENABLE_FP16
-const auto normalization_layer_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F16, DataType::F32 });
 #else  /* ARM_COMPUTE_ENABLE_FP16 */
-const auto normalization_layer_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::QS16, DataType::F32 });
 #endif /* ARM_COMPUTE_ENABLE_FP16 */
 } // namespace
 using NENormalizationLayerFixture = NormalizationLayerFixture<Tensor, NENormalizationLayer, Accessor>;
@@ -52,14 +52,25 @@
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
-                                                                                        normalization_layer_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::ALL,
                                 framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetNormalizationLayerDataset(),
-                                                                                        normalization_layer_data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
 
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetNormalizationLayer, NENormalizationLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetNormalizationLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/benchmark_new/NEON/PoolingLayer.cpp b/tests/benchmark_new/NEON/PoolingLayer.cpp
index 0991024..af2a925 100644
--- a/tests/benchmark_new/NEON/PoolingLayer.cpp
+++ b/tests/benchmark_new/NEON/PoolingLayer.cpp
@@ -34,6 +34,7 @@
 #include "tests/datasets_new/GoogLeNetPoolingLayerDataset.h"
 #include "tests/datasets_new/LeNet5PoolingLayerDataset.h"
 #include "tests/datasets_new/SqueezeNetPoolingLayerDataset.h"
+#include "tests/datasets_new/YOLOV2PoolingLayerDataset.h"
 #include "tests/fixtures_new/PoolingLayerFixture.h"
 
 namespace arm_compute
@@ -43,13 +44,9 @@
 namespace
 {
 #ifdef ARM_COMPUTE_ENABLE_FP16
-const auto alexnet_data_types    = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 });
-const auto lenet_data_types      = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
-const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QS8 });
 #else  /* ARM_COMPUTE_ENABLE_FP16 */
-const auto alexnet_data_types    = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 });
-const auto lenet_data_types      = framework::dataset::make("DataType", { DataType::F32 });
-const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 });
+const auto data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QS8 });
 #endif /* ARM_COMPUTE_ENABLE_FP16 */
 } // namespace
 
@@ -58,17 +55,36 @@
 TEST_SUITE(NEON)
 
 REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), alexnet_data_types), framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), lenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(), lenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
 
 REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(), squeezenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 })));
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
 
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1)));
+
+TEST_SUITE(NIGHTLY)
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetPoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2PoolingLayer, NEPoolingLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches", { 4, 8 })));
+TEST_SUITE_END()
 TEST_SUITE_END()
 } // namespace test
 } // namespace arm_compute