diff --git a/src/cpu/kernels/CpuConcatenateHeightKernel.cpp b/src/cpu/kernels/CpuConcatenateHeightKernel.cpp
new file mode 100644
index 0000000..47a2b44
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+++ b/src/cpu/kernels/CpuConcatenateHeightKernel.cpp
@@ -0,0 +1,178 @@
+/*
+ * Copyright (c) 2019-2021 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 "src/cpu/kernels/CpuConcatenateHeightKernel.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+#include "src/core/NEON/NEAsymm.h"
+#include "src/core/NEON/wrapper/wrapper.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+
+#include <cstdint>
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *src, unsigned int height_offset, const ITensorInfo *dst)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+    // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions.
+    ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+    ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(Window::DimX) != dst->dimension(Window::DimX));
+    ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(Window::DimY) + height_offset > dst->dimension(Window::DimY));
+    for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(i) != dst->dimension(i));
+    }
+
+    return Status{};
+}
+} // namespace
+
+void CpuConcatenateHeightKernel::configure(const ITensorInfo *src, unsigned int height_offset, ITensorInfo *dst)
+{
+    ARM_COMPUTE_UNUSED(src);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, height_offset, dst));
+
+    _height_offset = height_offset;
+
+    // Configure kernel window
+    Window win = calculate_max_window(*dst, Steps());
+    ICpuKernel::configure(win);
+}
+
+Status CpuConcatenateHeightKernel::validate(const ITensorInfo *src, unsigned int height_offset, const ITensorInfo *dst)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, height_offset, dst));
+    return Status{};
+}
+
+void CpuConcatenateHeightKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
+{
+    ARM_COMPUTE_UNUSED(info);
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
+
+    const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
+    auto       dst = tensors.get_tensor(TensorType::ACL_DST);
+
+    // Offset destination pointer to the correct position
+    uint8_t *dst_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() + _height_offset * dst->info()->strides_in_bytes()[Window::DimY];
+
+    const auto window_start_x = static_cast<int>(window.x().start());
+    const auto window_end_x   = static_cast<int>(window.x().end()) * static_cast<int>(dst->info()->element_size());
+    const int  window_step_x  = 16;
+
+    Window win{ window };
+    win.set(Window::DimX, Window::Dimension(0, 1, 1));
+    win.set(Window::DimY, Window::Dimension(0, src->info()->tensor_shape().y(), 1));
+
+    // Create iterators
+    Iterator src_it(src, win);
+    Iterator dst_it(dst, win);
+
+    const DataType                 dt        = src->info()->data_type();
+    const UniformQuantizationInfo &src_qinfo = src->info()->quantization_info().uniform();
+    const UniformQuantizationInfo &dst_qinfo = dst->info()->quantization_info().uniform();
+    if(dt == DataType::QASYMM8 && src_qinfo != dst_qinfo)
+    {
+        execute_window_loop(win, [&](const Coordinates &)
+        {
+            int x = window_start_x;
+            for(; x <= (window_end_x - window_step_x); x += window_step_x)
+            {
+                vst1q_u8(dst_ptr + dst_it.offset() + x, vquantize(vdequantize(vld1q_u8(src_it.ptr() + x), src_qinfo), dst_qinfo));
+            }
+
+            // Compute left-over elements
+            for(; x < window_end_x; ++x)
+            {
+                *(dst_ptr + dst_it.offset() + x) = quantize_qasymm8(dequantize_qasymm8(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
+            }
+
+        },
+        src_it, dst_it);
+    }
+    else if(dt == DataType::QASYMM8_SIGNED && src_qinfo != dst_qinfo)
+    {
+        execute_window_loop(win, [&](const Coordinates &)
+        {
+            int x = window_start_x;
+            for(; x <= (window_end_x - window_step_x); x += window_step_x)
+            {
+                vst1q_s8(reinterpret_cast<int8_t *>(dst_ptr + dst_it.offset() + x),
+                         vquantize_signed(vdequantize(vld1q_s8(reinterpret_cast<int8_t *>(src_it.ptr()) + x), src_qinfo), dst_qinfo));
+            }
+
+            // Compute left-over elements
+            for(; x < window_end_x; ++x)
+            {
+                *(dst_ptr + dst_it.offset() + x) = quantize_qasymm8_signed(dequantize_qasymm8_signed(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
+            }
+        },
+        src_it, dst_it);
+    }
+    else
+    {
+        execute_window_loop(win, [&](const Coordinates &)
+        {
+            const auto in_ptr  = src_it.ptr();
+            const auto out_ptr = dst_ptr + dst_it.offset();
+
+            int x = window_start_x;
+            for(; x <= (window_end_x - window_step_x); x += window_step_x)
+            {
+                wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x));
+            }
+
+            // Compute left-over elements
+            for(; x < window_end_x; ++x)
+            {
+                *(out_ptr + x) = *(in_ptr + x);
+            }
+        },
+        src_it, dst_it);
+    }
+}
+
+const char *CpuConcatenateHeightKernel::name() const
+{
+    return "CpuConcatenateHeightKernel";
+}
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute