diff --git a/tests/CL/CLArrayAccessor.h b/tests/CL/CLArrayAccessor.h
index a38907d..a516a9d 100644
--- a/tests/CL/CLArrayAccessor.h
+++ b/tests/CL/CLArrayAccessor.h
@@ -60,7 +60,7 @@
         _array.unmap();
     }
 
-    int num_values() const override
+    size_t num_values() const override
     {
         return _array.num_values();
     }
@@ -75,6 +75,13 @@
         _array.resize(num);
     }
 
+    T &at(size_t index) const override
+    {
+        ARM_COMPUTE_ERROR_ON(_array.buffer() == nullptr);
+        ARM_COMPUTE_ERROR_ON(index >= num_values());
+        return _array.buffer()[index];
+    }
+
 private:
     CLArray<T> &_array;
 };
diff --git a/tests/IArrayAccessor.h b/tests/IArrayAccessor.h
index 73f8829..f128d8f 100644
--- a/tests/IArrayAccessor.h
+++ b/tests/IArrayAccessor.h
@@ -41,7 +41,7 @@
     virtual ~IArrayAccessor() = default;
 
     /** Number of elements of the tensor. */
-    virtual int num_values() const = 0;
+    virtual size_t num_values() const = 0;
 
     /** Access to the buffer.
      *
@@ -54,6 +54,14 @@
      *  @param[in] num The new array size in number of elements
      */
     virtual void resize(size_t num) = 0;
+
+    /** Reference to the element of the array located at the given index
+     *
+     * @param[in] index Index of the element
+     *
+     * @return A reference to the element of the array located at the given index.
+     */
+    virtual T &at(size_t index) const = 0;
 };
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/NEON/ArrayAccessor.h b/tests/NEON/ArrayAccessor.h
index e56e653..26bae10 100644
--- a/tests/NEON/ArrayAccessor.h
+++ b/tests/NEON/ArrayAccessor.h
@@ -50,7 +50,7 @@
     ArrayAccessor(ArrayAccessor &&)                 = default;
     ArrayAccessor &operator=(ArrayAccessor &&) = default;
 
-    int num_values() const override
+    size_t num_values() const override
     {
         return _array.num_values();
     }
@@ -65,6 +65,13 @@
         _array.resize(num);
     }
 
+    T &at(size_t index) const override
+    {
+        ARM_COMPUTE_ERROR_ON(_array.buffer() == nullptr);
+        ARM_COMPUTE_ERROR_ON(index >= num_values());
+        return _array.buffer()[index];
+    }
+
 private:
     Array<T> &_array;
 };
diff --git a/tests/Types.h b/tests/Types.h
index cb9b0b9..516f61c 100644
--- a/tests/Types.h
+++ b/tests/Types.h
@@ -23,6 +23,11 @@
  */
 #ifndef __ARM_COMPUTE_TEST_TYPES_H__
 #define __ARM_COMPUTE_TEST_TYPES_H__
+
+#include "arm_compute/core/Types.h"
+
+#include <vector>
+
 namespace arm_compute
 {
 /** Fixed point operation */
@@ -33,5 +38,14 @@
     INV_SQRT,  /**< Inverse square root */
     RECIPROCAL /**< Reciprocal */
 };
+
+template <typename MinMaxType>
+struct MinMaxLocationValues
+{
+    MinMaxType                 min{};
+    MinMaxType                 max{};
+    std::vector<Coordinates2D> min_loc{};
+    std::vector<Coordinates2D> max_loc{};
+};
 } // namespace arm_compute
 #endif /* __ARM_COMPUTE_TEST_TYPES_H__ */
diff --git a/tests/validation/CL/MinMaxLocation.cpp b/tests/validation/CL/MinMaxLocation.cpp
new file mode 100644
index 0000000..58a84bd
--- /dev/null
+++ b/tests/validation/CL/MinMaxLocation.cpp
@@ -0,0 +1,140 @@
+/*
+ * 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.
+ */
+#include "arm_compute/runtime/CL/functions/CLMinMaxLocation.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/CL/CLArrayAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/MinMaxLocationFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(CL)
+TEST_SUITE(MinMaxLocation)
+
+template <typename T>
+using CLMinMaxLocationFixture = MinMaxLocationValidationFixture<CLTensor, CLAccessor, CLArray<Coordinates2D>, CLArrayAccessor<Coordinates2D>, CLMinMaxLocation, T>;
+
+void validate_configuration(const CLTensor &src, TensorShape shape)
+{
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create output storage
+    int32_t              min{};
+    int32_t              max{};
+    CLCoordinates2DArray min_loc(shape.total_size());
+    CLCoordinates2DArray max_loc(shape.total_size());
+
+    // Create and configure function
+    CLMinMaxLocation min_max_loc;
+    min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc);
+
+    // Validate padding
+    const PaddingSize padding = PaddingCalculator(shape.x(), src.info()->dimension(0)).required_padding();
+    validate(src.info()->padding(), padding);
+}
+
+TEST_SUITE(U8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
+{
+    // Create tensors
+    CLTensor src = create_tensor<CLTensor>(shape, data_type);
+    src.info()->set_format(Format::U8);
+
+    validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                              DataType::U8)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                            DataType::U8)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // U8
+
+TEST_SUITE(S16)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::S16)), shape, data_type)
+{
+    // Create tensors
+    CLTensor src = create_tensor<CLTensor>(shape, data_type);
+    src.info()->set_format(Format::S16);
+
+    validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                              DataType::S16)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                            DataType::S16)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // S16
+
+TEST_SUITE(Float)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::F32)), shape, data_type)
+{
+    // Create tensors
+    CLTensor src = create_tensor<CLTensor>(shape, data_type);
+    src.info()->set_format(Format::F32);
+
+    validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                            DataType::F32)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLMinMaxLocationFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                          DataType::F32)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // F32
+
+TEST_SUITE_END() // MinMaxLocation
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/CPP/MinMaxLocation.cpp b/tests/validation/CPP/MinMaxLocation.cpp
new file mode 100644
index 0000000..427adeb
--- /dev/null
+++ b/tests/validation/CPP/MinMaxLocation.cpp
@@ -0,0 +1,92 @@
+/*
+ * 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 src 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 src 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. src NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER src AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR src CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "MinMaxLocation.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+void compute_min_max(const SimpleTensor<T> &src, T &min, T &max)
+{
+    // Set min and max to first pixel
+    min = src[0];
+    max = src[0];
+
+    ARM_COMPUTE_ERROR_ON(src.num_elements() == 0);
+
+    // Look for min and max values
+    for(int i = 1; i < src.num_elements(); ++i)
+    {
+        if(src[i] < min)
+        {
+            min = src[i];
+        }
+        if(src[i] > max)
+        {
+            max = src[i];
+        }
+    }
+}
+
+template <typename T>
+MinMaxLocationValues<T> min_max_location(const SimpleTensor<T> &src)
+{
+    MinMaxLocationValues<T> dst;
+
+    const size_t width = src.shape().x();
+
+    compute_min_max<T>(src, dst.min, dst.max);
+
+    Coordinates2D coord{ 0, 0 };
+
+    for(int i = 0; i < src.num_elements(); ++i)
+    {
+        coord.x = static_cast<int32_t>(i % width);
+        coord.y = static_cast<int32_t>(i / width);
+
+        if(src[i] == dst.min)
+        {
+            dst.min_loc.push_back(coord);
+        }
+        if(src[i] == dst.max)
+        {
+            dst.max_loc.push_back(coord);
+        }
+    }
+
+    return dst;
+}
+
+template MinMaxLocationValues<uint8_t> min_max_location(const SimpleTensor<uint8_t> &src);
+template MinMaxLocationValues<int16_t> min_max_location(const SimpleTensor<int16_t> &src);
+template MinMaxLocationValues<float> min_max_location(const SimpleTensor<float> &src);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/CPP/MinMaxLocation.h b/tests/validation/CPP/MinMaxLocation.h
new file mode 100644
index 0000000..ebaf90b
--- /dev/null
+++ b/tests/validation/CPP/MinMaxLocation.h
@@ -0,0 +1,44 @@
+/*
+ * 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_MIN_MAX_LOCATION_H__
+#define __ARM_COMPUTE_TEST_MIN_MAX_LOCATION_H__
+
+#include "tests/SimpleTensor.h"
+#include "tests/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+MinMaxLocationValues<T> min_max_location(const SimpleTensor<T> &src);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_MIN_MAX_LOCATION_H__ */
diff --git a/tests/validation/NEON/MinMaxLocation.cpp b/tests/validation/NEON/MinMaxLocation.cpp
new file mode 100644
index 0000000..367bb6a
--- /dev/null
+++ b/tests/validation/NEON/MinMaxLocation.cpp
@@ -0,0 +1,141 @@
+/*
+ * 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.
+ */
+
+#include "arm_compute/runtime/NEON/functions/NEMinMaxLocation.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/NEON/ArrayAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/MinMaxLocationFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(NEON)
+TEST_SUITE(MinMaxLocation)
+
+template <typename T>
+using NEMinMaxLocationFixture = MinMaxLocationValidationFixture<Tensor, Accessor, Array<Coordinates2D>, ArrayAccessor<Coordinates2D>, NEMinMaxLocation, T>;
+
+void validate_configuration(const Tensor &src, TensorShape shape)
+{
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create output storage
+    int32_t            min{};
+    int32_t            max{};
+    Coordinates2DArray min_loc(shape.total_size());
+    Coordinates2DArray max_loc(shape.total_size());
+
+    // Create and configure function
+    NEMinMaxLocation min_max_loc;
+    min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc);
+
+    // Validate padding
+    const PaddingSize padding = PaddingCalculator(shape.x(), 1).required_padding();
+    validate(src.info()->padding(), padding);
+}
+
+TEST_SUITE(U8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
+{
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    src.info()->set_format(Format::U8);
+
+    validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                              DataType::U8)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                            DataType::U8)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // U8
+
+TEST_SUITE(S16)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::S16)), shape, data_type)
+{
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    src.info()->set_format(Format::S16);
+
+    validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                              DataType::S16)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                            DataType::S16)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // S16
+
+TEST_SUITE(Float)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::F32)), shape, data_type)
+{
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    src.info()->set_format(Format::F32);
+
+    validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                            DataType::F32)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                          DataType::F32)))
+{
+    validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // F32
+
+TEST_SUITE_END() // MinMaxLocation
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/Validation.h b/tests/validation/Validation.h
index 38cbada..60461f3 100644
--- a/tests/validation/Validation.h
+++ b/tests/validation/Validation.h
@@ -28,6 +28,7 @@
 #include "arm_compute/core/Types.h"
 #include "tests/IAccessor.h"
 #include "tests/SimpleTensor.h"
+#include "tests/Types.h"
 #include "tests/Utils.h"
 #include "tests/framework/Asserts.h"
 #include "tests/framework/Exceptions.h"
@@ -365,6 +366,37 @@
     ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance)));
     ARM_COMPUTE_EXPECT((compare<U>(target, reference, tolerance)), framework::LogLevel::ERRORS);
 }
+
+template <typename T, typename U>
+void validate_min_max_loc(const MinMaxLocationValues<T> &target, const MinMaxLocationValues<U> &reference)
+{
+    ARM_COMPUTE_EXPECT_EQUAL(target.min, reference.min, framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT_EQUAL(target.max, reference.max, framework::LogLevel::ERRORS);
+
+    ARM_COMPUTE_EXPECT_EQUAL(target.min_loc.size(), reference.min_loc.size(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT_EQUAL(target.max_loc.size(), reference.max_loc.size(), framework::LogLevel::ERRORS);
+
+    for(uint32_t i = 0; i < target.min_loc.size(); ++i)
+    {
+        const auto same_coords = std::find_if(reference.min_loc.begin(), reference.min_loc.end(), [&target, i](Coordinates2D coord)
+        {
+            return coord.x == target.min_loc.at(i).x && coord.y == target.min_loc.at(i).y;
+        });
+
+        ARM_COMPUTE_EXPECT(same_coords != reference.min_loc.end(), framework::LogLevel::ERRORS);
+    }
+
+    for(uint32_t i = 0; i < target.max_loc.size(); ++i)
+    {
+        const auto same_coords = std::find_if(reference.max_loc.begin(), reference.max_loc.end(), [&target, i](Coordinates2D coord)
+        {
+            return coord.x == target.max_loc.at(i).x && coord.y == target.max_loc.at(i).y;
+        });
+
+        ARM_COMPUTE_EXPECT(same_coords != reference.max_loc.end(), framework::LogLevel::ERRORS);
+    }
+}
+
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/validation/fixtures/MinMaxLocationFixture.h b/tests/validation/fixtures/MinMaxLocationFixture.h
new file mode 100644
index 0000000..bf076ef
--- /dev/null
+++ b/tests/validation/fixtures/MinMaxLocationFixture.h
@@ -0,0 +1,122 @@
+/*
+ * 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_MIN_MAX_LOCATION_FIXTURE
+#define ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/Types.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/CPP/MinMaxLocation.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename ArrayType, typename ArrayAccessorType, typename FunctionType, typename T>
+class MinMaxLocationValidationFixture : public framework::Fixture
+{
+public:
+    using target_type = typename std::conditional<std::is_integral<T>::value, int32_t, float>::type;
+
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type)
+    {
+        _target    = compute_target(shape, data_type);
+        _reference = compute_reference(shape, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        library->fill_tensor_uniform(tensor, 0);
+    }
+
+    MinMaxLocationValues<target_type> compute_target(const TensorShape &shape, DataType data_type)
+    {
+        MinMaxLocationValues<target_type> target;
+
+        ArrayType min_loc(shape.total_size());
+        ArrayType max_loc(shape.total_size());
+
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type);
+
+        // Create and configure function
+        FunctionType min_max_loc;
+        min_max_loc.configure(&src, &target.min, &target.max, &min_loc, &max_loc);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        min_max_loc.run();
+
+        // Create accessor objects for mapping operations
+        ArrayAccessorType min_loc_accessor(min_loc);
+        ArrayAccessorType max_loc_accessor(max_loc);
+
+        // Move min Coordinates2D values from ArrayType to vector
+        for(size_t i = 0; i < min_loc.num_values(); ++i)
+        {
+            target.min_loc.push_back(std::move(min_loc_accessor.at(i)));
+        }
+
+        // Move max Coordinates2D values from ArrayType to vector
+        for(size_t i = 0; i < max_loc.num_values(); ++i)
+        {
+            target.max_loc.push_back(std::move(max_loc_accessor.at(i)));
+        }
+
+        return target;
+    }
+
+    MinMaxLocationValues<T> compute_reference(const TensorShape &shape, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<T> src{ shape, data_type };
+
+        // Fill reference
+        fill(src);
+
+        return reference::min_max_location<T>(src);
+    }
+
+    MinMaxLocationValues<target_type> _target{};
+    MinMaxLocationValues<T>           _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_MIN_MAX_LOCATION_FIXTURE */
diff --git a/tests/validation_old/CL/MinMaxLocation.cpp b/tests/validation_old/CL/MinMaxLocation.cpp
deleted file mode 100644
index 06e9388..0000000
--- a/tests/validation_old/CL/MinMaxLocation.cpp
+++ /dev/null
@@ -1,397 +0,0 @@
-/*
- * 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.
- */
-
-#include "CL/CLAccessor.h"
-#include "Utils.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/validation_old/Datasets.h"
-#include "tests/validation_old/Reference.h"
-#include "tests/validation_old/Validation.h"
-#include "utils/TypePrinter.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/CL/functions/CLMinMaxLocation.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-
-#include "PaddingCalculator.h"
-#include "tests/validation_old/boost_wrapper.h"
-
-#include <random>
-#include <string>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Compute CL MinMaxLocation function.
- *
- * @param[in]  shape     Shape of the input and output tensors.
- * @param[in]  dt_in     Data type of first input tensor.
- * @param[out] min       Minimum value of tensor
- * @param[out] max       Maximum value of tensor
- * @param[out] min_loc   Array with locations of minimum values
- * @param[out] max_loc   Array with locations of maximum values
- * @param[out] min_count Number of minimum values found
- * @param[out] max_count Number of maximum values found
- *
- * @return Computed output tensor.
- */
-void compute_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max,
-                              CLCoordinates2DArray &min_loc, CLCoordinates2DArray &max_loc, uint32_t &min_count, uint32_t &max_count)
-{
-    // Create tensor
-    CLTensor src = create_tensor<CLTensor>(shape, dt_in);
-
-    // Create and configure min_max_location configure function
-    CLMinMaxLocation min_max_loc;
-    min_max_loc.configure(&src, min, max, &min_loc, &max_loc, &min_count, &max_count);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-
-    // Fill tensors
-    library->fill_tensor_uniform(CLAccessor(src), 0);
-
-    // Compute function
-    min_max_loc.run();
-}
-
-void validate_configuration(const CLTensor &src, TensorShape shape)
-{
-    BOOST_TEST(src.info()->is_resizable());
-
-    // Create output storage
-    int32_t              min;
-    int32_t              max;
-    CLCoordinates2DArray min_loc(shape.total_size());
-    CLCoordinates2DArray max_loc(shape.total_size());
-    uint32_t             min_count;
-    uint32_t             max_count;
-
-    // Create and configure function
-    CLMinMaxLocation min_max_loc;
-    min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc, &min_count, &max_count);
-
-    // Validate valid region
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-    validate(src.info()->valid_region(), valid_region);
-
-    // Validate padding
-    const PaddingSize padding = PaddingCalculator(shape.x(), src.info()->dimension(0)).required_padding();
-    validate(src.info()->padding(), padding);
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(CL)
-BOOST_AUTO_TEST_SUITE(MinMaxLocation)
-BOOST_AUTO_TEST_SUITE(U8)
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()),
-                     shape)
-{
-    // Create tensor
-    CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
-    src.info()->set_format(Format::U8);
-
-    validate_configuration(src, shape);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes(),
-                     shape)
-{
-    // Create output storage
-    int32_t              min;
-    int32_t              max;
-    CLCoordinates2DArray min_loc(shape.total_size());
-    CLCoordinates2DArray max_loc(shape.total_size());
-    uint32_t             min_count;
-    uint32_t             max_count;
-
-    int32_t              ref_min;
-    int32_t              ref_max;
-    CLCoordinates2DArray ref_min_loc(shape.total_size());
-    CLCoordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t             ref_min_count;
-    uint32_t             ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, DataType::U8, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    ref_min_loc.map();
-    ref_max_loc.map();
-
-    Reference::compute_reference_min_max_location(shape, DataType::U8, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    min_loc.map();
-    max_loc.map();
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-
-    ref_min_loc.unmap();
-    ref_max_loc.unmap();
-    min_loc.unmap();
-    max_loc.unmap();
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes(),
-                     shape)
-{
-    // Create output storage
-    int32_t              min;
-    int32_t              max;
-    CLCoordinates2DArray min_loc(shape.total_size());
-    CLCoordinates2DArray max_loc(shape.total_size());
-    uint32_t             min_count;
-    uint32_t             max_count;
-
-    int32_t              ref_min;
-    int32_t              ref_max;
-    CLCoordinates2DArray ref_min_loc(shape.total_size());
-    CLCoordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t             ref_min_count;
-    uint32_t             ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, DataType::U8, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    ref_min_loc.map();
-    ref_max_loc.map();
-
-    Reference::compute_reference_min_max_location(shape, DataType::U8, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    min_loc.map();
-    max_loc.map();
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-
-    ref_min_loc.unmap();
-    ref_max_loc.unmap();
-    min_loc.unmap();
-    max_loc.unmap();
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(S16)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()),
-                     shape)
-{
-    // Create tensor
-    CLTensor src = create_tensor<CLTensor>(shape, DataType::S16);
-    src.info()->set_format(Format::S16);
-
-    validate_configuration(src, shape);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes(),
-                     shape)
-{
-    // Create output storage
-    int32_t              min;
-    int32_t              max;
-    CLCoordinates2DArray min_loc(shape.total_size());
-    CLCoordinates2DArray max_loc(shape.total_size());
-    uint32_t             min_count;
-    uint32_t             max_count;
-
-    int32_t              ref_min;
-    int32_t              ref_max;
-    CLCoordinates2DArray ref_min_loc(shape.total_size());
-    CLCoordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t             ref_min_count;
-    uint32_t             ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, DataType::S16, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    ref_min_loc.map();
-    ref_max_loc.map();
-
-    Reference::compute_reference_min_max_location(shape, DataType::S16, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    min_loc.map();
-    max_loc.map();
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-
-    ref_min_loc.unmap();
-    ref_max_loc.unmap();
-    min_loc.unmap();
-    max_loc.unmap();
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes(),
-                     shape)
-{
-    // Create output storage
-    int32_t              min;
-    int32_t              max;
-    CLCoordinates2DArray min_loc(shape.total_size());
-    CLCoordinates2DArray max_loc(shape.total_size());
-    uint32_t             min_count;
-    uint32_t             max_count;
-
-    int32_t              ref_min;
-    int32_t              ref_max;
-    CLCoordinates2DArray ref_min_loc(shape.total_size());
-    CLCoordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t             ref_min_count;
-    uint32_t             ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, DataType::S16, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    ref_min_loc.map();
-    ref_max_loc.map();
-
-    Reference::compute_reference_min_max_location(shape, DataType::S16, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    min_loc.map();
-    max_loc.map();
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-
-    ref_min_loc.unmap();
-    ref_max_loc.unmap();
-    min_loc.unmap();
-    max_loc.unmap();
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(Float)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()),
-                     shape)
-{
-    // Create tensor
-    CLTensor src = create_tensor<CLTensor>(shape, DataType::F32);
-
-    validate_configuration(src, shape);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes(),
-                     shape)
-{
-    // Create output storage
-    float                min;
-    float                max;
-    CLCoordinates2DArray min_loc(shape.total_size());
-    CLCoordinates2DArray max_loc(shape.total_size());
-    uint32_t             min_count;
-    uint32_t             max_count;
-
-    float                ref_min;
-    float                ref_max;
-    CLCoordinates2DArray ref_min_loc(shape.total_size());
-    CLCoordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t             ref_min_count;
-    uint32_t             ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, DataType::F32, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    ref_min_loc.map();
-    ref_max_loc.map();
-
-    Reference::compute_reference_min_max_location(shape, DataType::F32, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    min_loc.map();
-    max_loc.map();
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-
-    ref_min_loc.unmap();
-    ref_max_loc.unmap();
-    min_loc.unmap();
-    max_loc.unmap();
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes(),
-                     shape)
-{
-    // Create output storage
-    float                min;
-    float                max;
-    CLCoordinates2DArray min_loc(shape.total_size());
-    CLCoordinates2DArray max_loc(shape.total_size());
-    uint32_t             min_count;
-    uint32_t             max_count;
-
-    float                ref_min;
-    float                ref_max;
-    CLCoordinates2DArray ref_min_loc(shape.total_size());
-    CLCoordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t             ref_min_count;
-    uint32_t             ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, DataType::F32, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    ref_min_loc.map();
-    ref_max_loc.map();
-
-    Reference::compute_reference_min_max_location(shape, DataType::F32, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    min_loc.map();
-    max_loc.map();
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-
-    ref_min_loc.unmap();
-    ref_max_loc.unmap();
-    min_loc.unmap();
-    max_loc.unmap();
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */
diff --git a/tests/validation_old/NEON/MinMaxLocation.cpp b/tests/validation_old/NEON/MinMaxLocation.cpp
deleted file mode 100644
index 1b258d1..0000000
--- a/tests/validation_old/NEON/MinMaxLocation.cpp
+++ /dev/null
@@ -1,224 +0,0 @@
-/*
- * 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.
- */
-
-#include "NEON/Accessor.h"
-#include "NEON/Helper.h"
-#include "PaddingCalculator.h"
-#include "Utils.h"
-#include "tests/AssetsLibrary.h"
-#include "tests/Globals.h"
-#include "tests/validation_old/Datasets.h"
-#include "tests/validation_old/Reference.h"
-#include "tests/validation_old/Validation.h"
-#include "utils/TypePrinter.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/NEON/functions/NEMinMaxLocation.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-
-#include "tests/validation_old/boost_wrapper.h"
-
-#include <random>
-#include <string>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Compute Neon MinMaxLocation function.
- *
- * @param[in]  shape     Shape of the input and output tensors.
- * @param[in]  dt_in     Data type of first input tensor.
- * @param[out] min       Minimum value of tensor
- * @param[out] max       Maximum value of tensor
- * @param[out] min_loc   Array with locations of minimum values
- * @param[out] max_loc   Array with locations of maximum values
- * @param[out] min_count Number of minimum values found
- * @param[out] max_count Number of maximum values found
- *
- * @return Computed output tensor.
- */
-
-void compute_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max,
-                              Coordinates2DArray &min_loc, Coordinates2DArray &max_loc, uint32_t &min_count, uint32_t &max_count)
-{
-    // Create tensor
-    Tensor src = create_tensor<Tensor>(shape, dt_in);
-
-    // Create and configure min_max_location configure function
-    NEMinMaxLocation min_max_loc;
-    min_max_loc.configure(&src, min, max, &min_loc, &max_loc, &min_count, &max_count);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-
-    // Fill tensors
-    library->fill_tensor_uniform(Accessor(src), 0);
-
-    // Compute function
-    min_max_loc.run();
-}
-
-void validate_configuration(const Tensor &src, TensorShape shape)
-{
-    BOOST_TEST(src.info()->is_resizable());
-
-    // Create output storage
-    int32_t            min;
-    int32_t            max;
-    Coordinates2DArray min_loc;
-    Coordinates2DArray max_loc;
-    uint32_t           min_count;
-    uint32_t           max_count;
-
-    // Create and configure function
-    NEMinMaxLocation min_max_loc;
-    min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc, &min_count, &max_count);
-
-    // Validate valid region
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-    validate(src.info()->valid_region(), valid_region);
-
-    // Validate padding
-    const PaddingSize padding = PaddingCalculator(shape.x(), 1).required_padding();
-    validate(src.info()->padding(), padding);
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(NEON)
-BOOST_AUTO_TEST_SUITE(MinMaxLocation)
-
-BOOST_AUTO_TEST_SUITE(Integer)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()) * boost::unit_test::data::make({ DataType::U8, DataType::S16 }),
-                     shape, dt)
-{
-    // Create tensor
-    Tensor src = create_tensor<Tensor>(shape, dt);
-    src.info()->set_format(dt == DataType::U8 ? Format::U8 : Format::S16);
-
-    validate_configuration(src, shape);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }),
-                     shape, dt)
-{
-    // Create output storage
-    int32_t            min;
-    int32_t            max;
-    Coordinates2DArray min_loc(shape.total_size());
-    Coordinates2DArray max_loc(shape.total_size());
-    uint32_t           min_count;
-    uint32_t           max_count;
-
-    int32_t            ref_min;
-    int32_t            ref_max;
-    Coordinates2DArray ref_min_loc(shape.total_size());
-    Coordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t           ref_min_count;
-    uint32_t           ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, dt, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    Reference::compute_reference_min_max_location(shape, dt, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes() * boost::unit_test::data::make({ DataType::U8, DataType::S16 }),
-                     shape, dt)
-{
-    // Create output storage
-    int32_t            min;
-    int32_t            max;
-    Coordinates2DArray min_loc(shape.total_size());
-    Coordinates2DArray max_loc(shape.total_size());
-    uint32_t           min_count;
-    uint32_t           max_count;
-
-    int32_t            ref_min;
-    int32_t            ref_max;
-    Coordinates2DArray ref_min_loc(shape.total_size());
-    Coordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t           ref_min_count;
-    uint32_t           ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, dt, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    Reference::compute_reference_min_max_location(shape, dt, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(Float)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes() * DataType::F32,
-                     shape, dt)
-{
-    // Create output storage
-    float              min;
-    float              max;
-    Coordinates2DArray min_loc(shape.total_size());
-    Coordinates2DArray max_loc(shape.total_size());
-    uint32_t           min_count;
-    uint32_t           max_count;
-
-    float              ref_min;
-    float              ref_max;
-    Coordinates2DArray ref_min_loc(shape.total_size());
-    Coordinates2DArray ref_max_loc(shape.total_size());
-    uint32_t           ref_min_count;
-    uint32_t           ref_max_count;
-
-    // Compute function
-    compute_min_max_location(shape, dt, &min, &max, min_loc, max_loc, min_count, max_count);
-
-    // Compute reference
-    Reference::compute_reference_min_max_location(shape, dt, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);
-
-    // Validate output
-    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);
-}
-
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */
diff --git a/tests/validation_old/Reference.cpp b/tests/validation_old/Reference.cpp
index fc54846..b5fe1d2 100644
--- a/tests/validation_old/Reference.cpp
+++ b/tests/validation_old/Reference.cpp
@@ -72,18 +72,6 @@
 
     return std::make_pair(ref_dst_x, ref_dst_y);
 }
-void Reference::compute_reference_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc,
-                                                   uint32_t &min_count, uint32_t &max_count)
-{
-    // Create reference
-    RawTensor ref_src(shape, dt_in);
-
-    // Fill reference
-    library->fill_tensor_uniform(ref_src, 0);
-
-    // Compute reference
-    ReferenceCPP::min_max_location(ref_src, min, max, min_loc, max_loc, min_count, max_count);
-}
 
 KeyPointArray Reference::compute_reference_harris_corners(const TensorShape &shape, float threshold, float min_dist, float sensitivity,
                                                           int32_t gradient_size, int32_t block_size, BorderMode border_mode, uint8_t constant_border_value)
diff --git a/tests/validation_old/Reference.h b/tests/validation_old/Reference.h
index e363bb2..153986d 100644
--- a/tests/validation_old/Reference.h
+++ b/tests/validation_old/Reference.h
@@ -74,22 +74,6 @@
      */
     static KeyPointArray compute_reference_harris_corners(const TensorShape &shape, float threshold, float min_dist, float sensitivity,
                                                           int32_t gradient_size, int32_t block_size, BorderMode border_mode, uint8_t constant_border_value);
-    /** Compute min max location.
-     *
-     * @param[in]  shape     Shape of the input tensors.
-     * @param[in]  dt_in     Data type of input tensor.
-     * @param[out] min       Minimum value of tensor
-     * @param[out] max       Maximum value of tensor
-     * @param[out] min_loc   Array with locations of minimum values
-     * @param[out] max_loc   Array with locations of maximum values
-     * @param[out] min_count Number of minimum values found
-     * @param[out] max_count Number of maximum values found
-     *
-     * @return Computed minimum, maximum values and their locations.
-     */
-    static void compute_reference_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc,
-                                                   uint32_t &min_count,
-                                                   uint32_t &max_count);
     /** Compute reference integral image.
      *
      * @param[in] shape Shape of the input and output tensors.
diff --git a/tests/validation_old/ReferenceCPP.cpp b/tests/validation_old/ReferenceCPP.cpp
index cca8997..55aac59 100644
--- a/tests/validation_old/ReferenceCPP.cpp
+++ b/tests/validation_old/ReferenceCPP.cpp
@@ -95,13 +95,6 @@
     }
 }
 
-// Minimum maximum location
-void ReferenceCPP::min_max_location(const RawTensor &src, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc, uint32_t &min_count, uint32_t &max_count)
-{
-    const TensorVariant s = TensorFactory::get_tensor(src);
-    boost::apply_visitor(tensor_visitors::min_max_location_visitor(min, max, min_loc, max_loc, min_count, max_count), s);
-}
-
 // Absolute difference
 void ReferenceCPP::absolute_difference(const RawTensor &src1, const RawTensor &src2, RawTensor &dst)
 {
diff --git a/tests/validation_old/ReferenceCPP.h b/tests/validation_old/ReferenceCPP.h
index 2f02afc..b04d5e3 100644
--- a/tests/validation_old/ReferenceCPP.h
+++ b/tests/validation_old/ReferenceCPP.h
@@ -83,17 +83,6 @@
      */
     static void harris_corners(RawTensor &src, RawTensor &Gx, RawTensor &Gy, const RawTensor &candidates, const RawTensor &non_maxima, float threshold, float min_dist, float sensitivity,
                                int32_t gradient_size, int32_t block_size, KeyPointArray &corners, BorderMode border_mode, uint8_t constant_border_value);
-    /** Function to compute the min max values and their location in a tensor.
-     *
-     * @param[in]  src       Input tensor.
-     * @param[out] min       Minimum value of the tensor.
-     * @param[out] max       Maximum value of the tensor
-     * @param[out] min_loc   Array with locations of minimum values
-     * @param[out] max_loc   Array with locations of maximum values
-     * @param[out] min_count Number of minimum values found
-     * @param[out] max_count Number of maximum values found
-     */
-    static void min_max_location(const RawTensor &src, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc, uint32_t &min_count, uint32_t &max_count);
     /** Function to compute the integral image of a tensor.
      *
      * @param[in]  src Input tensor.
diff --git a/tests/validation_old/TensorOperations.h b/tests/validation_old/TensorOperations.h
index 04a79f0..af17ea8 100644
--- a/tests/validation_old/TensorOperations.h
+++ b/tests/validation_old/TensorOperations.h
@@ -406,72 +406,6 @@
     }
 }
 
-template <typename T>
-void compute_min_max(const Tensor<T> &in, void *min, void *max)
-{
-    using type = typename std::conditional<std::is_same<T, float>::value, float, int32_t>::type;
-
-    // Set min and max to first pixel
-    type tmp_min = static_cast<type>(in[0]);
-    type tmp_max = static_cast<type>(in[0]);
-
-    // Look for min and max values
-    for(int i = 1; i < in.num_elements(); ++i)
-    {
-        if(static_cast<type>(in[i]) < tmp_min)
-        {
-            tmp_min = static_cast<type>(in[i]);
-        }
-        if(static_cast<type>(in[i]) > tmp_max)
-        {
-            tmp_max = static_cast<type>(in[i]);
-        }
-    }
-
-    *static_cast<type *>(min) = tmp_min;
-    *static_cast<type *>(max) = tmp_max;
-}
-
-// Min max location
-template <typename T1>
-void min_max_location(const Tensor<T1> &in, void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc, uint32_t &min_count, uint32_t &max_count)
-{
-    const size_t width = in.shape().x();
-
-    compute_min_max(in, min, max);
-
-    using type = typename std::conditional<std::is_same<T1, float>::value, float, int32_t>::type;
-
-    type min_value = *static_cast<type *>(min);
-    type max_value = *static_cast<type *>(max);
-
-    min_count = 0;
-    max_count = 0;
-    for(int i = 0; i < in.num_elements(); ++i)
-    {
-        if(static_cast<type>(in[i]) == min_value)
-        {
-            Coordinates2D min_coord;
-            min_coord.x = static_cast<int32_t>(i % width);
-            min_coord.y = static_cast<int32_t>(i / width);
-
-            min_loc.push_back(min_coord);
-
-            min_count++;
-        }
-        if(static_cast<type>(in[i]) == max_value)
-        {
-            Coordinates2D max_coord;
-            max_coord.x = static_cast<int32_t>(i % width);
-            max_coord.y = static_cast<int32_t>(i / width);
-
-            max_loc.push_back(max_coord);
-
-            max_count++;
-        }
-    }
-}
-
 // Integral Image
 void integral_image(const Tensor<uint8_t> &in, Tensor<uint32_t> &out)
 {
diff --git a/tests/validation_old/TensorVisitors.h b/tests/validation_old/TensorVisitors.h
index 8af035b..30b552a 100644
--- a/tests/validation_old/TensorVisitors.h
+++ b/tests/validation_old/TensorVisitors.h
@@ -46,28 +46,6 @@
 {
 namespace tensor_visitors
 {
-// Min max location visitor
-struct min_max_location_visitor : public boost::static_visitor<>
-{
-public:
-    explicit min_max_location_visitor(void *min, void *max, IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &max_loc, uint32_t &min_count, uint32_t &max_count)
-        : _min(min), _max(max), _min_loc(min_loc), _max_loc(max_loc), _min_count(min_count), _max_count(max_count)
-    {
-    }
-    template <typename T1>
-    void operator()(const Tensor<T1> &in) const
-    {
-        tensor_operations::min_max_location(in, _min, _max, _min_loc, _max_loc, _min_count, _max_count);
-    }
-
-private:
-    void                  *_min;
-    void                  *_max;
-    IArray<Coordinates2D> &_min_loc;
-    IArray<Coordinates2D> &_max_loc;
-    uint32_t              &_min_count;
-    uint32_t              &_max_count;
-};
 // Absolute Difference visitor
 struct absolute_difference_visitor : public boost::static_visitor<>
 {
diff --git a/tests/validation_old/Validation.h b/tests/validation_old/Validation.h
index 4c8752b..f0630c1 100644
--- a/tests/validation_old/Validation.h
+++ b/tests/validation_old/Validation.h
@@ -141,47 +141,6 @@
  */
 void validate(float target, float ref, float tolerance_abs_error = std::numeric_limits<float>::epsilon(), float tolerance_relative_error = 0.0001f);
 
-/** Validate min max location.
- *
- * - All values should match
- */
-template <typename T>
-void validate_min_max_loc(T min, T ref_min, T max, T ref_max,
-                          IArray<Coordinates2D> &min_loc, IArray<Coordinates2D> &ref_min_loc, IArray<Coordinates2D> &max_loc, IArray<Coordinates2D> &ref_max_loc,
-                          uint32_t min_count, uint32_t ref_min_count, uint32_t max_count, uint32_t ref_max_count)
-{
-    BOOST_TEST(min == ref_min);
-    BOOST_TEST(max == ref_max);
-
-    BOOST_TEST(min_count == min_loc.num_values());
-    BOOST_TEST(max_count == max_loc.num_values());
-    BOOST_TEST(ref_min_count == ref_min_loc.num_values());
-    BOOST_TEST(ref_max_count == ref_max_loc.num_values());
-
-    BOOST_TEST(min_count == ref_min_count);
-    BOOST_TEST(max_count == ref_max_count);
-
-    for(uint32_t i = 0; i < min_count; i++)
-    {
-        Coordinates2D *same_coords = std::find_if(ref_min_loc.buffer(), ref_min_loc.buffer() + min_count, [&min_loc, i](Coordinates2D coord)
-        {
-            return coord.x == min_loc.at(i).x && coord.y == min_loc.at(i).y;
-        });
-
-        BOOST_TEST(same_coords != ref_min_loc.buffer() + min_count);
-    }
-
-    for(uint32_t i = 0; i < max_count; i++)
-    {
-        Coordinates2D *same_coords = std::find_if(ref_max_loc.buffer(), ref_max_loc.buffer() + max_count, [&max_loc, i](Coordinates2D coord)
-        {
-            return coord.x == max_loc.at(i).x && coord.y == max_loc.at(i).y;
-        });
-
-        BOOST_TEST(same_coords != ref_max_loc.buffer() + max_count);
-    }
-}
-
 /** Validate KeyPoint arrays.
  *
  * - All values should match