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diff --git a/tests/benchmark/fixtures/ROIPoolingLayerFixture.h b/tests/benchmark/fixtures/ROIPoolingLayerFixture.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_ROIPOOLINGLAYERFIXTURE
+#define ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor, typename Array_T, typename ArrayAccessor>
+class ROIPoolingLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, const ROIPoolingLayerInfo pool_info, unsigned int num_rois, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        TensorShape        shape_dst;
+        shape.set(shape.num_dimensions(), batches);
+        shape_dst.set(0, pool_info.pooled_width());
+        shape_dst.set(1, pool_info.pooled_height());
+        shape_dst.set(2, shape.z());
+        shape_dst.set(3, num_rois);
+
+        // Create tensors
+        src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+        dst = create_tensor<TensorType>(shape_dst, data_type, 1, fixed_point_position);
+
+        // Create random ROIs
+        std::vector<ROI> rois = generate_random_rois(shape, pool_info, num_rois, 0U);
+        rois_array            = arm_compute::support::cpp14::make_unique<Array_T>(num_rois);
+        fill_array(ArrayAccessor(*rois_array), rois);
+
+        // Create and configure function
+        roi_pool.configure(&src, rois_array.get(), &dst, pool_info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void run()
+    {
+        roi_pool.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType               src{};
+    TensorType               dst{};
+    std::unique_ptr<Array_T> rois_array{};
+    Function                 roi_pool{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE */