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diff --git a/arm_compute/core/NEON/kernels/NEMeanStdDevNormalizationKernel.h b/arm_compute/core/NEON/kernels/NEMeanStdDevNormalizationKernel.h
deleted file mode 100644
index dc0455cc4c..0000000000
--- a/arm_compute/core/NEON/kernels/NEMeanStdDevNormalizationKernel.h
+++ /dev/null
@@ -1,98 +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_NEMEANSTDDEVNORMALIZATIONKERNEL_H
-#define ARM_COMPUTE_NEMEANSTDDEVNORMALIZATIONKERNEL_H
-
-#include "arm_compute/core/NEON/INEKernel.h"
-
-#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-#include <arm_fp16.h>
-#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
-
-namespace arm_compute
-{
-class ITensor;
-
-/** Interface for the kernel to normalize the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension. */
-class NEMeanStdDevNormalizationKernel : public INEKernel
-{
-public:
-    const char *name() const override
-    {
-        return "NEMeanStdDevNormalizationKernel";
-    }
-    /** Default constructor */
-    NEMeanStdDevNormalizationKernel();
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    NEMeanStdDevNormalizationKernel(const NEMeanStdDevNormalizationKernel &) = delete;
-    /** Prevent instances of this class from being copied (As this class contains pointers) */
-    NEMeanStdDevNormalizationKernel &operator=(const NEMeanStdDevNormalizationKernel &) = delete;
-    /** Allow instances of this class to be moved */
-    NEMeanStdDevNormalizationKernel(NEMeanStdDevNormalizationKernel &&) = default;
-    /** Allow instances of this class to be moved */
-    NEMeanStdDevNormalizationKernel &operator=(NEMeanStdDevNormalizationKernel &&) = default;
-    /** Default destructor */
-    ~NEMeanStdDevNormalizationKernel() = default;
-    /** Initialise the kernel's input and outputs.
-     *
-     * @note If the output tensor is a nullptr, the normalization will be performed in-place.
-     *
-     * @param[in, out] input   Source tensor with 2 dimensions. In case of @p output tensor = nullptr,
-     *                         this tensor will store the result of the normalization. Data types supported: F16/F32.
-     * @param[out]     output  (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
-     * @param[in]      epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
-     */
-    void configure(ITensor *input, ITensor *output = nullptr, float epsilon = 1e-8f);
-    /** Static function to check if given info will lead to a valid configuration of @ref NEMeanStdDevNormalizationKernel
-     *
-     * @param[in] input   Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr,
-     *                    this tensor will store the result of the normalization. Data types supported: F16/F32.
-     * @param[in] output  (Optional) Destination tensor info. It can be nullptr in case of in-place computation. Data type supported: same as @p input
-     * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
-     *
-     * @return a status
-     */
-    static Status validate(const ITensorInfo *input, const ITensorInfo *output = nullptr, float epsilon = 1e-8f);
-
-    // Inherited methods overridden:
-    void run(const Window &window, const ThreadInfo &info) override;
-
-private:
-    /** Normalizes the input with respect to mean and standard deviation.
-     *
-     * @param[in] window Region on which to execute the kernel.
-     */
-    template <typename ScalarType, int size>
-    void mean_stddev_normalization(const Window &window);
-
-    ITensor *_input;
-    ITensor *_output;
-    float    _epsilon;
-
-    using MeanStdDevNormFunction = void (NEMeanStdDevNormalizationKernel::*)(const Window &window);
-
-    MeanStdDevNormFunction _func;
-};
-} // namespace arm_compute
-#endif /* ARM_COMPUTE_NEMEANSTDDEVNORMALIZATIONKERNEL_H */