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diff --git a/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp b/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp
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+++ b/src/cpu/kernels/meanstddevnorm/generic/neon/fp16.cpp
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+/*
+ * Copyright (c) 2022-2024 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.
+ */
+#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS)
+
+#include "src/core/NEON/wrapper/wrapper.h"
+#include "src/cpu/CpuTypes.h"
+#include "src/cpu/kernels/meanstddevnorm/generic/neon/impl.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+template <>
+void mean_stddev_normalization<float16_t, 8>(ITensor *input, ITensor *output, float epsilon, const Window &window)
+{
+ // Set build options
+ Window win = window;
+ win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+ const int window_step_x = 8;
+ const auto window_start_x = static_cast<int>(window.x().start());
+ const auto window_end_x = static_cast<int>(window.x().end());
+
+ Iterator input_itr(input, win);
+ Iterator output_itr(output, win);
+
+ execute_window_loop(
+ win,
+ [&](const Coordinates &)
+ {
+ int x = window_start_x;
+ auto in_ptr = reinterpret_cast<const float16_t *>(input_itr.ptr());
+ auto out_ptr = reinterpret_cast<float16_t *>(output_itr.ptr());
+
+ float16x8_t sum_vec = vdupq_n_f16(static_cast<float16_t>(0.0f));
+ float32x4_t sum_sq_vec = vdupq_n_f32(0.0f);
+
+ for (; x <= (window_end_x - window_step_x); x += window_step_x)
+ {
+ float16x8_t data = vld1q_f16(in_ptr + x);
+ sum_vec = vaddq_f16(sum_vec, data);
+ float32x4_t dl = vcvt_f32_f16(vget_low_f16(data));
+ float32x4_t dh = vcvt_f32_f16(vget_high_f16(data));
+ sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dl, dl));
+ sum_sq_vec = vaddq_f32(sum_sq_vec, vmulq_f32(dh, dh));
+ }
+
+ float32x4_t sum_carry_res =
+ vpaddq_f32(vcvt_f32_f16(vget_high_f16(sum_vec)), vcvt_f32_f16(vget_low_f16(sum_vec)));
+ float sum = vaddvq_f32(sum_carry_res);
+ float sum_sq = vaddvq_f32(sum_sq_vec);
+
+ // Compute left-over elements
+ for (; x < window_end_x; ++x)
+ {
+ const float fdata = static_cast<float>(*(in_ptr + x));
+ sum += fdata;
+ sum_sq += fdata * fdata;
+ }
+
+ float16_t mean = static_cast<float16_t>(sum / input->info()->dimension(0));
+ float var = (sum_sq / input->info()->dimension(0)) - (mean * mean);
+ float16_t stddev_inv = static_cast<float16_t>(1.f / sqrt(var + epsilon));
+
+ float16x8_t mean_vec = vdupq_n_f16(mean);
+ float16x8_t stddev_inv_vec = vdupq_n_f16(stddev_inv);
+
+ for (x = window_start_x; x <= (window_end_x - window_step_x); x += window_step_x)
+ {
+ float16x8_t data = vld1q_f16(in_ptr + x);
+ float16x8_t res = vmulq_f16(vsubq_f16(data, mean_vec), stddev_inv_vec);
+ // Store results
+ vst1q_f16(out_ptr + x, res);
+ }
+ for (; x < window_end_x; ++x)
+ {
+ *(out_ptr + x) = (*(in_ptr + x) - mean) * stddev_inv;
+ }
+ },
+ input_itr, output_itr);
+}
+
+void neon_fp16_meanstddevnorm(ITensor *input, ITensor *output, float epsilon, const Window &window)
+{
+ return mean_stddev_normalization<float16_t, 8>(input, output, epsilon, window);
+}
+} // namespace cpu
+} // namespace arm_compute
+#endif /* defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && defined(ENABLE_FP16_KERNELS) */