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diff --git a/tests/benchmark/fixtures/LeNet5Fixture.h b/tests/benchmark/fixtures/LeNet5Fixture.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_LENET5FIXTURE
+#define ARM_COMPUTE_TEST_LENET5FIXTURE
+
+#include "tests/AssetsLibrary.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+#include "tests/networks/LeNet5Network.h"
+
+namespace arm_compute
+{
+namespace test
+{
+template <typename TensorType,
+          typename Accessor,
+          typename ActivationLayerFunction,
+          typename ConvolutionLayerFunction,
+          typename FullyConnectedLayerFunction,
+          typename PoolingLayerFunction,
+          typename SoftmaxLayerFunction>
+class LeNet5Fixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(int batches)
+    {
+        network.init(batches);
+        network.build();
+        network.allocate();
+        network.fill_random();
+    }
+
+    void run()
+    {
+        network.run();
+    }
+
+    void teardown()
+    {
+        network.clear();
+    }
+
+private:
+    networks::LeNet5Network<TensorType,
+             Accessor,
+             ActivationLayerFunction,
+             ConvolutionLayerFunction,
+             FullyConnectedLayerFunction,
+             PoolingLayerFunction,
+             SoftmaxLayerFunction>
+             network{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LENET5FIXTURE */