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diff --git a/tests/validation/fixtures/NonMaxSuppressionFixture.h b/tests/validation/fixtures/NonMaxSuppressionFixture.h
deleted file mode 100644
index 9299ed62a4..0000000000
--- a/tests/validation/fixtures/NonMaxSuppressionFixture.h
+++ /dev/null
@@ -1,124 +0,0 @@
-/*
- * Copyright (c) 2019 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_NON_MAX_SUPPRESSION_FIXTURE
-#define ARM_COMPUTE_TEST_NON_MAX_SUPPRESSION_FIXTURE
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/IAccessor.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Fixture.h"
-#include "tests/validation/reference/NonMaxSuppression.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-template <typename TensorType, typename AccessorType, typename FunctionType>
-
-class NMSValidationFixture : public framework::Fixture
-{
-public:
-    template <typename...>
-    void setup(TensorShape input_shape, unsigned int max_output_size, float score_threshold, float nms_threshold)
-    {
-        ARM_COMPUTE_ERROR_ON(max_output_size == 0);
-        ARM_COMPUTE_ERROR_ON(input_shape.num_dimensions() != 2);
-        const TensorShape output_shape(max_output_size);
-        const TensorShape scores_shape(input_shape[1]);
-        _target    = compute_target(input_shape, scores_shape, output_shape, max_output_size, score_threshold, nms_threshold);
-        _reference = compute_reference(input_shape, scores_shape, output_shape, max_output_size, score_threshold, nms_threshold);
-    }
-
-protected:
-    template <typename U>
-    void fill(U &&tensor, int i, int lo, int hi)
-    {
-        std::uniform_real_distribution<> distribution(lo, hi);
-        library->fill_boxes(tensor, distribution, i);
-    }
-
-    TensorType compute_target(const TensorShape input_shape, const TensorShape scores_shape, const TensorShape output_shape,
-                              unsigned int max_output_size, float score_threshold, float nms_threshold)
-    {
-        // Create tensors
-        TensorType bboxes  = create_tensor<TensorType>(input_shape, DataType::F32);
-        TensorType scores  = create_tensor<TensorType>(scores_shape, DataType::F32);
-        TensorType indices = create_tensor<TensorType>(output_shape, DataType::S32);
-
-        // Create and configure function
-        FunctionType nms_func;
-        nms_func.configure(&bboxes, &scores, &indices, max_output_size, score_threshold, nms_threshold);
-
-        ARM_COMPUTE_EXPECT(bboxes.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(indices.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(scores.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Allocate tensors
-        bboxes.allocator()->allocate();
-        indices.allocator()->allocate();
-        scores.allocator()->allocate();
-
-        ARM_COMPUTE_EXPECT(!bboxes.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!indices.info()->is_resizable(), framework::LogLevel::ERRORS);
-        ARM_COMPUTE_EXPECT(!scores.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-        // Fill tensors
-        fill(AccessorType(bboxes), 0, 0.f, 1.f);
-        fill(AccessorType(scores), 1, 0.f, 1.f);
-
-        // Compute function
-        nms_func.run();
-        return indices;
-    }
-
-    SimpleTensor<int> compute_reference(const TensorShape input_shape, const TensorShape scores_shape, const TensorShape output_shape,
-                                        unsigned int max_output_size, float score_threshold, float nms_threshold)
-    {
-        // Create reference
-        SimpleTensor<float> bboxes{ input_shape, DataType::F32 };
-        SimpleTensor<float> scores{ scores_shape, DataType::F32 };
-        SimpleTensor<int>   indices{ output_shape, DataType::S32 };
-
-        // Fill reference
-        fill(bboxes, 0, 0.f, 1.f);
-        fill(scores, 1, 0.f, 1.f);
-
-        return reference::non_max_suppression(bboxes, scores, indices, max_output_size, score_threshold, nms_threshold);
-    }
-
-    TensorType        _target{};
-    SimpleTensor<int> _reference{};
-};
-
-} // namespace validation
-} // namespace test
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_NON_MAX_SUPPRESSION_FIXTURE */