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diff --git a/tests/benchmark/common/PoolingLayer.h b/tests/benchmark/common/PoolingLayer.h
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+/*
+ * 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.
+ */
+#ifndef __ARM_COMPUTE_TEST_BENCHMARK_POOLING_LAYER_H__
+#define __ARM_COMPUTE_TEST_BENCHMARK_POOLING_LAYER_H__
+
+#include "TensorLibrary.h"
+#include "Utils.h"
+#include "dataset/PoolingLayerDataset.h"
+
+#include <memory>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::benchmark;
+
+namespace arm_compute
+{
+namespace test
+{
+namespace benchmark
+{
+template <typename DataSet, typename TensorType, typename Accessor, typename Function, DataType dt = DataType::F32>
+class PoolingLayer : public ::benchmark::Fixture
+{
+public:
+    void SetUp(::benchmark::State &state) override
+    {
+        profiler.add(std::make_shared<WallClockTimer>());
+
+        const PoolingLayerDataObject pool_obj = *(DataSet().begin() + state.range(0));
+
+        // Set batched in source and destination shapes
+        const unsigned int batches              = state.range(1);
+        const unsigned int fixed_point_position = 4;
+        TensorShape        src_shape            = pool_obj.src_shape;
+        TensorShape        dst_shape            = pool_obj.dst_shape;
+        src_shape.set(src_shape.num_dimensions(), batches);
+        dst_shape.set(dst_shape.num_dimensions(), batches);
+
+        // Create tensors
+        src = create_tensor(src_shape, dt, 1, fixed_point_position);
+        dst = create_tensor(dst_shape, dt, 1, fixed_point_position);
+
+        // Create and configure function
+        pool_layer.configure(&src, &dst, pool_obj.info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void TearDown(::benchmark::State &state) override
+    {
+        // Free allocators
+        src.allocator()->free();
+        dst.allocator()->free();
+
+        profiler.submit(state);
+    }
+
+    Function pool_layer{};
+    Profiler profiler{};
+
+private:
+    TensorType src{};
+    TensorType dst{};
+};
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif //__ARM_COMPUTE_TEST_BENCHMARK_POOLING_LAYER_H__