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diff --git a/tests/benchmark/fixtures/HOGMultiDetectionFixture.h b/tests/benchmark/fixtures/HOGMultiDetectionFixture.h
deleted file mode 100644
index 947646cdfc..0000000000
--- a/tests/benchmark/fixtures/HOGMultiDetectionFixture.h
+++ /dev/null
@@ -1,148 +0,0 @@
-/*
- * 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.
- */
-#ifndef ARM_COMPUTE_TEST_HOG_MULTI_DETECTION_FIXTURE
-#define ARM_COMPUTE_TEST_HOG_MULTI_DETECTION_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
-{
-template <typename TensorType,
-          typename HOGType,
-          typename MultiHOGType,
-          typename DetectionWindowArrayType,
-          typename DetectionWindowStrideType,
-          typename Function,
-          typename Accessor,
-          typename HOGAccessorType,
-          typename Size2DArrayAccessorType>
-class HOGMultiDetectionFixture : public framework::Fixture
-{
-public:
-    template <typename...>
-    void setup(std::string image, std::vector<HOGInfo> models, Format format, BorderMode border_mode, bool non_maxima_suppression)
-    {
-        // Only defined borders supported
-        ARM_COMPUTE_ERROR_ON(border_mode == BorderMode::UNDEFINED);
-
-        std::mt19937                           generator(library->seed());
-        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
-        uint8_t                                constant_border_value = static_cast<uint8_t>(distribution_u8(generator));
-
-        // Load the image (cached by the library if loaded before)
-        const RawTensor &raw = library->get(image, format);
-
-        // Initialize descriptors vector
-        std::vector<std::vector<float>> descriptors(models.size());
-
-        // Resize detection window_strides for index access
-        detection_window_strides.resize(models.size());
-
-        // Initialiize MultiHOG and detection windows
-        initialize_batch(models, multi_hog, descriptors, detection_window_strides);
-
-        // Create tensors
-        src = create_tensor<TensorType>(raw.shape(), format);
-
-        // Use default values for threshold and min_distance
-        const float threshold    = 0.f;
-        const float min_distance = 1.f;
-
-        hog_multi_detection_func.configure(&src,
-                                           &multi_hog,
-                                           &detection_windows,
-                                           &detection_window_strides,
-                                           border_mode,
-                                           constant_border_value,
-                                           threshold,
-                                           non_maxima_suppression,
-                                           min_distance);
-
-        // Reset detection windows
-        detection_windows.clear();
-
-        // Allocate tensor
-        src.allocator()->allocate();
-
-        library->fill(Accessor(src), raw);
-    }
-
-    void run()
-    {
-        hog_multi_detection_func.run();
-    }
-
-    void sync()
-    {
-        sync_if_necessary<TensorType>();
-    }
-
-private:
-    void initialize_batch(const std::vector<HOGInfo> &models, MultiHOGType &multi_hog,
-                          std::vector<std::vector<float>> &descriptors, DetectionWindowStrideType &detection_window_strides)
-    {
-        for(unsigned i = 0; i < models.size(); ++i)
-        {
-            auto hog_model = reinterpret_cast<HOGType *>(multi_hog.model(i));
-            hog_model->init(models[i]);
-
-            // Initialise descriptor (linear SVM coefficients).
-            std::random_device::result_type seed = 0;
-            descriptors.at(i)                    = generate_random_real(models[i].descriptor_size(), -0.505f, 0.495f, seed);
-
-            // Copy HOG descriptor values to HOG memory
-            {
-                HOGAccessorType hog_accessor(*hog_model);
-                std::memcpy(hog_accessor.descriptor(), descriptors.at(i).data(), descriptors.at(i).size() * sizeof(float));
-            }
-
-            // Initialize detection window stride
-            Size2DArrayAccessorType accessor(detection_window_strides);
-            accessor.at(i) = models[i].block_stride();
-        }
-    }
-
-private:
-    static const unsigned int model_size                = 4;
-    static const unsigned int max_num_detection_windows = 100000;
-
-    MultiHOGType              multi_hog{ model_size };
-    DetectionWindowStrideType detection_window_strides{ model_size };
-    DetectionWindowArrayType  detection_windows{ max_num_detection_windows };
-
-    TensorType src{};
-    Function   hog_multi_detection_func{};
-};
-} // namespace benchmark
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_HOG_MULTI_DETECTION_FIXTURE */