diff --git a/tests/benchmark/CL/DirectConvolutionLayer.cpp b/tests/benchmark/CL/DirectConvolutionLayer.cpp
new file mode 100644
index 0000000..15bf808
--- /dev/null
+++ b/tests/benchmark/CL/DirectConvolutionLayer.cpp
@@ -0,0 +1,107 @@
+/*
+ * 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/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/TypePrinter.h"
+#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"
+#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h"
+#include "tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.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(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
+                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", 1)));
+
+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", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 4, 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", { 4, 8 })));
+
+REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
+                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(),
+                                                                                        data_types),
+                                                            framework::dataset::make("Batches", { 1, 4, 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