diff --git a/tests/validation/CL/ReductionOperation.cpp b/tests/validation/CL/ReductionOperation.cpp
index 35cb0c5..516a134 100644
--- a/tests/validation/CL/ReductionOperation.cpp
+++ b/tests/validation/CL/ReductionOperation.cpp
@@ -84,7 +84,7 @@
 // *INDENT-ON*
 
 template <typename T>
-using CLReductionOperationFixture = ReductionOperationValidationFixture<CLTensor, CLAccessor, CLReductionOperation, T>;
+using CLReductionOperationFixture = ReductionOperationFixture<CLTensor, CLAccessor, CLReductionOperation, T>;
 
 TEST_SUITE(Float)
 TEST_SUITE(FP16)
diff --git a/tests/validation/NEON/ReduceMean.cpp b/tests/validation/NEON/ReduceMean.cpp
new file mode 100644
index 0000000..3cd7ce3
--- /dev/null
+++ b/tests/validation/NEON/ReduceMean.cpp
@@ -0,0 +1,176 @@
+/*
+ * Copyright (c) 2018 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/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEReduceMean.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "tests/NEON/Accessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/datasets/SplitDataset.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/ReduceMeanFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+constexpr AbsoluteTolerance<float> tolerance_f16(0.03f);   /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */
+#endif                                                     // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric quantized type */
+
+const auto axis_keep = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1, 0), Coordinates(1, 2), Coordinates(0, 2), Coordinates(1, 3), Coordinates(0, 1, 2, 3) }),
+                               framework::dataset::make("KeepDims", { true }));
+const auto axis_drop = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1), Coordinates(3) }), framework::dataset::make("KeepDims", { false }));
+} // namespace
+TEST_SUITE(NEON)
+TEST_SUITE(ReduceMean)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+        framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
+                                                TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid output shape
+                                                TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32)
+        }),
+        framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32),
+                                                 TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32),
+                                                 TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32)
+        })),
+        framework::dataset::make("Axis", { Coordinates(4), Coordinates(0,2), Coordinates(2) })),
+        framework::dataset::make("Expected", { false, false, true })),
+        input_info, output_info, axis, expected)
+{
+    const Status status = NEReduceMean::validate(&input_info.clone()->set_is_resizable(false), axis, true, &output_info.clone()->set_is_resizable(false));
+    ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+DATA_TEST_CASE(Configuration,
+               framework::DatasetMode::ALL,
+               combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F32 })),
+               shape, data_type)
+{
+    // Create tensors
+    Tensor ref_src = create_tensor<Tensor>(shape, data_type);
+    Tensor dst;
+
+    Coordinates axis(1);
+
+    // Create and Configure function
+    NEReduceMean reduce_mean;
+    reduce_mean.configure(&ref_src, axis, true, &dst);
+
+    // Validate valid region
+    TensorShape output_shape = shape;
+    output_shape.set(1, 1);
+    const ValidRegion valid_region = shape_to_valid_region(output_shape);
+    validate(dst.info()->valid_region(), valid_region);
+}
+
+template <typename T>
+using NEReduceMeanFixture = ReduceMeanFixture<Tensor, Accessor, NEReduceMean, T>;
+
+TEST_SUITE(Float)
+
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NEReduceMeanFixture<half>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f16);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NEReduceMeanFixture<half>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f16);
+}
+TEST_SUITE_END() // FP16
+#endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NEReduceMeanFixture<float>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NEReduceMeanFixture<float>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_f32);
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+template <typename T>
+using NEReduceMeanQuantizedFixture = ReduceMeanQuantizedFixture<Tensor, Accessor, NEReduceMean, T>;
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QASYMM8)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NEReduceMeanQuantizedFixture<uint8_t>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NEReduceMeanQuantizedFixture<uint8_t>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+TEST_SUITE_END() // QASYMM8
+TEST_SUITE_END() // Quantized
+TEST_SUITE_END() // ReduceMean
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/ReductionOperation.cpp b/tests/validation/NEON/ReductionOperation.cpp
index b0480b0..2a381bf 100644
--- a/tests/validation/NEON/ReductionOperation.cpp
+++ b/tests/validation/NEON/ReductionOperation.cpp
@@ -45,6 +45,8 @@
 {
 /** Tolerance for float operations */
 RelativeTolerance<float> tolerance_f32(0.00001f);
+/** Tolerance for quantized operations */
+RelativeTolerance<float> tolerance_qasymm8(1);
 } // namespace
 
 TEST_SUITE(NEON)
@@ -81,25 +83,47 @@
 // *INDENT-ON*
 
 template <typename T>
-using NEReductionOperationFixture = ReductionOperationValidationFixture<Tensor, Accessor, NEReductionOperation, T>;
+using NEReductionOperationFixture = ReductionOperationFixture<Tensor, Accessor, NEReductionOperation, T>;
 
 TEST_SUITE(FP32)
 FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationFixture<float>, framework::DatasetMode::PRECOMMIT,
-                       combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0 })), framework::dataset::make("Op", { ReductionOperation::SUM_SQUARE })))
+                       combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), datasets::ReductionOperations()))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_f32);
 }
 FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationFixture<float>, framework::DatasetMode::NIGHTLY,
-                       combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0 })), framework::dataset::make("Op", { ReductionOperation::SUM_SQUARE })))
+                       combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })), datasets::ReductionOperations()))
 {
     // Validate output
     validate(Accessor(_target), _reference, tolerance_f32);
 }
-TEST_SUITE_END()
+TEST_SUITE_END() // FP32
 
-TEST_SUITE_END()
-TEST_SUITE_END()
+template <typename T>
+using NEReductionOperationQuantizedFixture = ReductionOperationQuantizedFixture<Tensor, Accessor, NEReductionOperation, T>;
+
+TEST_SUITE(QASYMM8)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
+                       combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
+                                       datasets::ReductionOperations()),
+                               framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEReductionOperationQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
+                       combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
+                                       datasets::ReductionOperations()),
+                               framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) })))
+{
+    // Validate output
+    validate(Accessor(_target), _reference, tolerance_qasymm8);
+}
+TEST_SUITE_END() // QASYMM8
+
+TEST_SUITE_END() // ReductionOperation
+TEST_SUITE_END() // NEON
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/validation/fixtures/ReductionOperationFixture.h b/tests/validation/fixtures/ReductionOperationFixture.h
index 0dee7eb..9079b47 100644
--- a/tests/validation/fixtures/ReductionOperationFixture.h
+++ b/tests/validation/fixtures/ReductionOperationFixture.h
@@ -45,26 +45,36 @@
 {
 public:
     template <typename...>
-    void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op)
+    void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info)
     {
         const TensorShape output_shape = get_output_shape(shape, axis);
-        _target                        = compute_target(shape, output_shape, data_type, axis, op);
-        _reference                     = compute_reference(shape, output_shape, data_type, axis, op);
+        _target                        = compute_target(shape, output_shape, data_type, axis, op, quantization_info);
+        _reference                     = compute_reference(shape, output_shape, data_type, axis, op, quantization_info);
     }
 
 protected:
     template <typename U>
     void fill(U &&tensor)
     {
-        std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
-        library->fill(tensor, distribution, 0);
+        if(!is_data_type_quantized(tensor.data_type()))
+        {
+            std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+            library->fill(tensor, distribution, 0);
+        }
+        else
+        {
+            std::pair<int, int> bounds = get_quantized_bounds(tensor.quantization_info(), -1.0f, 1.0f);
+            std::uniform_int_distribution<uint8_t> distribution(bounds.first, bounds.second);
+
+            library->fill(tensor, distribution, 0);
+        }
     }
 
-    TensorType compute_target(const TensorShape &src_shape, const TensorShape &dst_shape, DataType data_type, unsigned int axis, ReductionOperation op)
+    TensorType compute_target(const TensorShape &src_shape, const TensorShape &dst_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info)
     {
         // Create tensors
-        TensorType src = create_tensor<TensorType>(src_shape, data_type);
-        TensorType dst = create_tensor<TensorType>(dst_shape, data_type);
+        TensorType src = create_tensor<TensorType>(src_shape, data_type, 1, quantization_info);
+        TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, quantization_info);
 
         // Create and configure function
         FunctionType reduction_func;
@@ -89,10 +99,10 @@
         return dst;
     }
 
-    SimpleTensor<T> compute_reference(const TensorShape &src_shape, const TensorShape &dst_shape, DataType data_type, unsigned int axis, ReductionOperation op)
+    SimpleTensor<T> compute_reference(const TensorShape &src_shape, const TensorShape &dst_shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info)
     {
         // Create reference
-        SimpleTensor<T> src{ src_shape, data_type };
+        SimpleTensor<T> src{ src_shape, data_type, 1, quantization_info };
 
         // Fill reference
         fill(src);
@@ -111,6 +121,28 @@
         return output_shape;
     }
 };
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ReductionOperationQuantizedFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op, QuantizationInfo quantization_info = QuantizationInfo())
+    {
+        ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, quantization_info);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ReductionOperationFixture : public ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, unsigned int axis, ReductionOperation op)
+    {
+        ReductionOperationValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, axis, op, QuantizationInfo());
+    }
+};
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/validation/reference/ReductionOperation.cpp b/tests/validation/reference/ReductionOperation.cpp
index 11947bd..499263f 100644
--- a/tests/validation/reference/ReductionOperation.cpp
+++ b/tests/validation/reference/ReductionOperation.cpp
@@ -76,7 +76,7 @@
 SimpleTensor<T> reduction_operation(const SimpleTensor<T> &src, const TensorShape &dst_shape, unsigned int axis, ReductionOperation op)
 {
     // Create reference
-    SimpleTensor<T>    dst{ dst_shape, src.data_type() };
+    SimpleTensor<T>    dst{ dst_shape, src.data_type(), 1, src.quantization_info() };
     const unsigned int src_width  = src.shape().x();
     const unsigned int src_height = src.shape().y();
     const unsigned int src_depth  = src.shape().z();
@@ -102,7 +102,7 @@
                     {
                         res /= src_width;
                     }
-                    dst[du] = static_cast<uint8_t>(res);
+                    dst[du] = saturate_cast<uint8_t>(res);
                 }
                 else
                 {
@@ -136,7 +136,7 @@
                         {
                             res /= src_height;
                         }
-                        dst[du * src_width + x] = static_cast<uint8_t>(res);
+                        dst[du * src_width + x] = saturate_cast<uint8_t>(res);
                     }
                     else
                     {
@@ -175,7 +175,7 @@
                             {
                                 res /= src_depth;
                             }
-                            dst[du * src_width * src_height + y * src_width + x] = static_cast<uint8_t>(res);
+                            dst[du * src_width * src_height + y * src_width + x] = saturate_cast<uint8_t>(res);
                         }
                         else
                         {
@@ -218,7 +218,7 @@
                                     res /= src_batch;
                                 }
 
-                                dst[du * src_depth * src_height * src_width + z * src_width * src_height + y * src_width + x] = static_cast<uint8_t>(res);
+                                dst[du * src_depth * src_height * src_width + z * src_width * src_height + y * src_width + x] = saturate_cast<uint8_t>(res);
                             }
                             else
                             {