diff --git a/src/cpu/kernels/CpuPermuteKernel.cpp b/src/cpu/kernels/CpuPermuteKernel.cpp
new file mode 100644
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+++ b/src/cpu/kernels/CpuPermuteKernel.cpp
@@ -0,0 +1,301 @@
+/*
+ * 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/cpu/kernels/CpuPermuteKernel.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/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+
+namespace
+{
+#include "src/core/NEON/kernels/convolution/common/shims.hpp"
+} // namespace
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+namespace
+{
+inline bool is_permutation_supported(const PermutationVector &v)
+{
+    static const std::array<PermutationVector, 2> permutations2 =
+    {
+        {
+            PermutationVector(0U, 1U),
+            PermutationVector(1U, 0U),
+        }
+    };
+    static const std::array<PermutationVector, 6> permutations3 =
+    {
+        {
+            PermutationVector(2U, 0U, 1U),
+            PermutationVector(1U, 2U, 0U),
+            PermutationVector(0U, 1U, 2U),
+            PermutationVector(0U, 2U, 1U),
+            PermutationVector(1U, 0U, 2U),
+            PermutationVector(2U, 1U, 0U),
+        }
+    };
+    static const std::array<PermutationVector, 24> permutations4 =
+    {
+        {
+            PermutationVector(0U, 1U, 2U, 3U),
+            PermutationVector(1U, 0U, 2U, 3U),
+            PermutationVector(2U, 0U, 1U, 3U),
+            PermutationVector(0U, 2U, 1U, 3U),
+            PermutationVector(1U, 2U, 0U, 3U),
+            PermutationVector(2U, 1U, 0U, 3U),
+            PermutationVector(2U, 1U, 3U, 0U),
+            PermutationVector(1U, 2U, 3U, 0U),
+            PermutationVector(3U, 2U, 1U, 0U),
+            PermutationVector(2U, 3U, 1U, 0U),
+            PermutationVector(1U, 3U, 2U, 0U),
+            PermutationVector(3U, 1U, 2U, 0U),
+            PermutationVector(3U, 0U, 2U, 1U),
+            PermutationVector(0U, 3U, 2U, 1U),
+            PermutationVector(2U, 3U, 0U, 1U),
+            PermutationVector(3U, 2U, 0U, 1U),
+            PermutationVector(0U, 2U, 3U, 1U),
+            PermutationVector(2U, 0U, 3U, 1U),
+            PermutationVector(1U, 0U, 3U, 2U),
+            PermutationVector(0U, 1U, 3U, 2U),
+            PermutationVector(3U, 1U, 0U, 2U),
+            PermutationVector(1U, 3U, 0U, 2U),
+            PermutationVector(0U, 3U, 1U, 2U),
+            PermutationVector(3U, 0U, 1U, 2U)
+        }
+    };
+
+    return (permutations2.end() != std::find(permutations2.begin(), permutations2.end(), v)) || (permutations3.end() != std::find(permutations3.begin(), permutations3.end(), v))
+           || (permutations4.end() != std::find(permutations4.begin(), permutations4.end(), v));
+}
+
+Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const PermutationVector &perm)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(!is_permutation_supported(perm), "PermutationVector not supported.");
+
+    const TensorShape dst_shape = misc::shape_calculator::compute_permutation_output_shape(*src, perm);
+
+    // Validate configured destination
+    if(dst->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), dst_shape);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+    }
+
+    return Status{};
+}
+
+template <typename T>
+void run_permute(const Window &window, const ITensor *src, const ITensor *dst, const PermutationVector &perm)
+{
+    const DataLayout src_layout = src->info()->data_layout();
+
+    // Source window
+    Window window_src = window;
+
+    // we only support these two configs in src/core/NEON/kernels/convolution/common/shims.hpp, for all others
+    // we have to fall back to C++
+    if((src_layout == DataLayout::NCHW && perm == PermutationVector{ 2U, 0U, 1U }) || (src_layout == DataLayout::NHWC && perm == PermutationVector{ 1U, 2U, 0U }))
+    {
+        window_src.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), window.x().end() - window.x().start()));
+        window_src.set(Window::DimY, Window::Dimension(window.y().start(), window.y().end(), window.y().end() - window.y().start()));
+        window_src.set(Window::DimZ, Window::Dimension(window.z().start(), window.z().end(), window.z().end() - window.z().start()));
+        window_src.set(3, Window::Dimension(window[3].start(), window[3].end(), window[3].end() - window[3].start()));
+    }
+
+    // Destination window
+    Window                  window_dst(window);
+    const Window::Dimension zero_window = Window::Dimension(0, 0, 0);
+    for(size_t d = 0; d <= dst->info()->num_dimensions(); ++d)
+    {
+        window_dst.set(d, zero_window);
+    }
+
+    // Create iterators
+    Iterator src_it(src, window_src);
+    Iterator dst_it(dst, window_dst);
+
+    int in_row_stride     = 0;
+    int in_col_stride     = 0;
+    int in_channel_stride = 0;
+    int in_batch_stride   = 0;
+    int n_cols            = 0;
+    int n_rows            = 0;
+    int n_channels        = 0;
+    int n_batches         = 0;
+
+    switch(src_layout)
+    {
+        case DataLayout::NCHW:
+        {
+            in_row_stride     = src->info()->strides_in_bytes().y() / sizeof(T);
+            in_channel_stride = src->info()->strides_in_bytes().z() / sizeof(T);
+            in_batch_stride   = src->info()->strides_in_bytes()[3] / sizeof(T);
+            n_cols            = src->info()->tensor_shape().x();
+            n_rows            = window_src.y().step();
+            n_channels        = src->info()->tensor_shape().z();
+            n_batches         = src->info()->tensor_shape()[3];
+            break;
+        }
+        case DataLayout::NHWC:
+        {
+            in_col_stride   = src->info()->strides_in_bytes().y() / sizeof(T);
+            in_row_stride   = src->info()->strides_in_bytes().z() / sizeof(T);
+            in_batch_stride = src->info()->strides_in_bytes()[3] / sizeof(T);
+            n_channels      = src->info()->tensor_shape().x();
+            n_cols          = window_src.y().step();
+            n_rows          = src->info()->tensor_shape().z();
+            n_batches       = src->info()->tensor_shape()[3];
+            break;
+        }
+        default:
+        {
+            ARM_COMPUTE_ERROR("Invalid source data layout.");
+            break;
+        }
+    }
+
+    // CHW -> HWC
+    if(src_layout == DataLayout::NCHW && perm == PermutationVector{ 2U, 0U, 1U })
+    {
+        const int out_channel_stride = dst->info()->strides_in_bytes().x() / sizeof(T);
+        const int out_col_stride     = dst->info()->strides_in_bytes().y() / sizeof(T);
+        const int out_row_stride     = dst->info()->strides_in_bytes().z() / sizeof(T);
+        const int out_batch_stride   = dst->info()->strides_in_bytes()[3] / sizeof(T);
+        execute_window_loop(window_src, [&](const Coordinates & id)
+        {
+            const int idx = id[0] * out_col_stride + id[1] * out_row_stride + id[2] * out_channel_stride;
+            reorder::nchw_to_nhwc(reinterpret_cast<const T *>(src_it.ptr()), reinterpret_cast<T *>(dst_it.ptr()) + idx,
+                                  n_batches, n_channels, n_rows, n_cols,
+                                  in_batch_stride, in_channel_stride, in_row_stride,
+                                  out_batch_stride, out_row_stride, out_col_stride);
+        },
+        src_it, dst_it);
+    }
+    // HWC -> CHW
+    else if(src_layout == DataLayout::NHWC && perm == PermutationVector{ 1U, 2U, 0U })
+    {
+        const int out_col_stride     = dst->info()->strides_in_bytes().x() / sizeof(T);
+        const int out_row_stride     = dst->info()->strides_in_bytes().y() / sizeof(T);
+        const int out_channel_stride = dst->info()->strides_in_bytes().z() / sizeof(T);
+        const int out_batch_stride   = dst->info()->strides_in_bytes()[3] / sizeof(T);
+        execute_window_loop(window_src, [&](const Coordinates & id)
+        {
+            const int idx = id[0] * out_channel_stride + id[1] * out_col_stride + id[2] * out_row_stride;
+            reorder::nhwc_to_nchw(reinterpret_cast<const T *>(src_it.ptr()), reinterpret_cast<T *>(dst_it.ptr()) + idx,
+                                  n_batches, n_rows, n_cols, n_channels,
+                                  in_batch_stride, in_row_stride, in_col_stride,
+                                  out_batch_stride, out_channel_stride, out_row_stride);
+        },
+        src_it, dst_it);
+    }
+    else
+    {
+        // All other cases fall back to C++
+        // Permute strides
+        Strides strides      = dst->info()->strides_in_bytes();
+        Strides perm_strides = strides;
+        permute_strides(perm_strides, perm);
+        const int perm_stride_3 = src->info()->num_dimensions() >= 4 ? perm_strides[3] : 0;
+        execute_window_loop(window, [&](const Coordinates & id)
+        {
+            const int idx                                = id[0] * perm_strides[0] + id[1] * perm_strides[1] + id[2] * perm_strides[2] + id[3] * perm_stride_3;
+            *(reinterpret_cast<T *>(dst_it.ptr() + idx)) = *(reinterpret_cast<const T *>(src_it.ptr()));
+        },
+        src_it, dst_it);
+    }
+}
+} // namespace
+
+void CpuPermuteKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const PermutationVector &perm)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+    const TensorShape dst_shape = misc::shape_calculator::compute_permutation_output_shape(*src, perm);
+    // Destination auto inizialitation if not yet initialized
+    auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape));
+
+    // Perform validation step
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, perm));
+
+    _perm = perm;
+
+    // Configure kernel window
+    Window win = calculate_max_window(*src, Steps());
+
+    // This kernel doesn't need padding so update_window_and_padding() can be skipped
+
+    ICpuKernel::configure(win);
+}
+
+Status CpuPermuteKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const PermutationVector &perm)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, perm));
+    return Status{};
+}
+
+void CpuPermuteKernel::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);
+
+    switch(src->info()->element_size())
+    {
+        case 1:
+            run_permute<uint8_t>(window, src, dst, _perm);
+            break;
+        case 2:
+            run_permute<uint16_t>(window, src, dst, _perm);
+            break;
+        case 4:
+            run_permute<uint32_t>(window, src, dst, _perm);
+            break;
+        default:
+            ARM_COMPUTE_ERROR("Element size not supported");
+            break;
+    }
+}
+
+const char *CpuPermuteKernel::name() const
+{
+    return "CpuPermuteKernel";
+}
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute