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diff --git a/tests/benchmark/fixtures/DequantizationLayerFixture.h b/tests/benchmark/fixtures/DequantizationLayerFixture.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_DEQUANTIZATION_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE
+
+#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"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace benchmark
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class DequantizationLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type_src, DataType data_type_dst)
+    {
+        TensorShape shape_min_max = shape;
+        shape_min_max.set(Window::DimX, 2);
+
+        // Remove Y and Z dimensions and keep the batches
+        shape_min_max.remove_dimension(1);
+        shape_min_max.remove_dimension(1);
+
+        // Create tensors
+        src     = create_tensor<TensorType>(shape, data_type_src);
+        dst     = create_tensor<TensorType>(shape, data_type_dst);
+        min_max = create_tensor<TensorType>(shape_min_max, data_type_dst);
+
+        // Create and configure function
+        dequantization_func.configure(&src, &dst, &min_max);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+        min_max.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void run()
+    {
+        dequantization_func.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+        min_max.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType dst{};
+    TensorType min_max{};
+    Function   dequantization_func{};
+};
+} // namespace benchmark
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE */