diff --git a/src/core/cpu/kernels/CpuCopyKernel.cpp b/src/core/cpu/kernels/CpuCopyKernel.cpp
new file mode 100644
index 0000000..8ec354b
--- /dev/null
+++ b/src/core/cpu/kernels/CpuCopyKernel.cpp
@@ -0,0 +1,166 @@
+/*
+ * Copyright (c) 2018-2021 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/core/cpu/kernels/CpuCopyKernel.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/Validate.h"
+#include "arm_compute/core/Window.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const PaddingList &padding = PaddingList())
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
+    ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 4);
+
+    // Validate destination if initialized
+    if(dst->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_padded_shape(src->tensor_shape(), padding), dst->tensor_shape());
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+    }
+
+    return Status{};
+}
+
+std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *src, ITensorInfo *dst)
+{
+    // Destination auto inizialitation if not yet initialized
+    auto_init_if_empty(*dst, *src);
+    return std::make_pair(Status{}, calculate_max_window(*dst));
+}
+
+std::pair<Status, Window> validate_and_configure_window_with_padding(const ITensorInfo *src, ITensorInfo *dst, const PaddingList &padding)
+{
+    const TensorShape src_shape    = src->tensor_shape();
+    const TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(src_shape, padding);
+    auto_init_if_empty(*dst, src->clone()->set_tensor_shape(padded_shape));
+    // Configure window
+    const Window win = calculate_max_window(*dst, dst->dimension(0));
+    return std::make_pair(Status{}, win);
+}
+
+} // namespace
+
+void CpuCopyKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const PaddingList &padding)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, padding));
+
+    _padding = padding;
+
+    std::pair<Status, Window> win_config;
+    if(padding.empty())
+    {
+        win_config = validate_and_configure_window(src, dst);
+    }
+    else
+    {
+        win_config = validate_and_configure_window_with_padding(src, dst, padding);
+    }
+
+    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+    ICpuKernel::configure(win_config.second);
+}
+
+Status CpuCopyKernel::validate(const arm_compute::ITensorInfo *src, const arm_compute::ITensorInfo *dst, const PaddingList &padding)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, padding));
+
+    if(padding.empty())
+    {
+        ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get()).first);
+    }
+    else
+    {
+        ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_with_padding(src->clone().get(), dst->clone().get(), padding).first);
+    }
+
+    return Status{};
+}
+
+void CpuCopyKernel::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);
+
+    if(_padding.empty())
+    {
+        Window dst_window{ window };
+        dst_window.set(Window::DimX, Window::Dimension(dst_window.x().start(), dst_window.x().end(), src->info()->dimension(0)));
+        Window out_slice = dst_window.first_slice_window_1D();
+        do
+        {
+            Iterator src_it(src, out_slice);
+            Iterator dst_it(dst, out_slice);
+
+            execute_window_loop(out_slice, [&](const Coordinates &)
+            {
+                memcpy(dst_it.ptr(), src_it.ptr(), dst->info()->dimension(0) * dst->info()->element_size());
+            },
+            src_it, dst_it);
+        }
+        while(dst_window.slide_window_slice_1D(out_slice));
+    }
+    else
+    {
+        Window src_window{ window };
+        src_window.set(Window::DimX, Window::Dimension(0, window.x().end() - _padding[0].first, src->info()->dimension(0)));
+
+        Iterator     src_it(src, src_window);
+        Iterator     dst_it(dst, window);
+        const size_t row_size_in_bytes = src->info()->dimension(0) * src->info()->element_size();
+        execute_window_loop(window, [&](const Coordinates &)
+        {
+            auto dst_ptr = dst_it.ptr() + _padding[0].first * dst->info()->element_size();
+            std::memcpy(dst_ptr, src_it.ptr(), row_size_in_bytes);
+        },
+        src_it, dst_it);
+    }
+}
+
+const char *CpuCopyKernel::name() const
+{
+    return "CpuCopyKernel";
+}
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute