diff --git a/src/core/cpu/kernels/CpuPermuteKernel.cpp b/src/core/cpu/kernels/CpuPermuteKernel.cpp
index 7fd38a3..270d6e2 100644
--- a/src/core/cpu/kernels/CpuPermuteKernel.cpp
+++ b/src/core/cpu/kernels/CpuPermuteKernel.cpp
@@ -255,7 +255,7 @@
     // Configure kernel window
     Window win = calculate_max_window(*src, Steps());
 
-    // The NEPermute doesn't need padding so update_window_and_padding() can be skipped
+    // This kernel doesn't need padding so update_window_and_padding() can be skipped
 
     ICpuKernel::configure(win);
 }
diff --git a/src/core/cpu/kernels/CpuTransposeKernel.cpp b/src/core/cpu/kernels/CpuTransposeKernel.cpp
new file mode 100644
index 0000000..ed08aa1
--- /dev/null
+++ b/src/core/cpu/kernels/CpuTransposeKernel.cpp
@@ -0,0 +1,510 @@
+/*
+ * Copyright (c) 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/CpuTransposeKernel.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"
+
+#include <arm_neon.h>
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+namespace
+{
+unsigned int num_elems_processed(size_t element_size)
+{
+    switch(element_size)
+    {
+        case 1:
+            return 8;
+        case 2:
+        case 4:
+            return 4;
+        default:
+            break;
+    }
+
+    ARM_COMPUTE_ERROR("Element size not supported");
+}
+
+void transpose_8bit_elements(const ITensor *in, ITensor *out, const Window &window)
+{
+    const int    window_step_x            = 8;
+    const int    window_step_y            = 8;
+    const int    window_start_x           = window.x().start();
+    const int    window_end_x             = window.x().end();
+    const int    window_start_y           = window.y().start();
+    const int    window_end_y             = std::min(window.y().end(), static_cast<int>(in->info()->dimension(1)));
+    const int    window_end_y_multiple_of = ((window_end_y - window_start_y) / window_step_y) * window_step_y;
+    const size_t input_stride_in_bytes    = in->info()->strides_in_bytes()[1];
+    const size_t output_stride_in_bytes   = out->info()->strides_in_bytes()[1];
+
+    // Check if we need a left-over loop for the y dimension
+    bool left_over_loop_y = (((window_end_y - window_start_y) % window_step_y) != 0);
+
+    Window window_in(window);
+    window_in.set(Window::DimX, Window::Dimension(0, 1, 1));
+    if(left_over_loop_y)
+    {
+        // Check if window_end_y_multiple_of is greater than window_start_y
+        if(window_end_y_multiple_of > window_start_y)
+        {
+            window_in.set(Window::DimY, Window::Dimension(window_start_y, window_end_y_multiple_of, window_step_y));
+        }
+        else
+        {
+            window_in.set(Window::DimY, Window::Dimension(0, 0, 1));
+        }
+    }
+
+    Window window_out(window);
+    window_out.set(Window::DimX, Window::Dimension(0, 0, 0));
+    window_out.set(Window::DimY, Window::Dimension(0, 0, 0));
+
+    Iterator output(out, window_out);
+
+    // Run the Neon path if and only if the input is not a row-vector
+    if(in->info()->dimension(1) != 1)
+    {
+        Iterator input(in, window_in);
+        execute_window_loop(window_in, [&](const Coordinates & id)
+        {
+            // Compute 8x8 elements per iteration
+            int x = window_start_x;
+            for(; x <= (window_end_x - window_step_x); x += window_step_x)
+            {
+                const uint8x8_t row0 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 0 * input_stride_in_bytes));
+                const uint8x8_t row1 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 1 * input_stride_in_bytes));
+                const uint8x8_t row2 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 2 * input_stride_in_bytes));
+                const uint8x8_t row3 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 3 * input_stride_in_bytes));
+                const uint8x8_t row4 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 4 * input_stride_in_bytes));
+                const uint8x8_t row5 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 5 * input_stride_in_bytes));
+                const uint8x8_t row6 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 6 * input_stride_in_bytes));
+                const uint8x8_t row7 = vld1_u8(reinterpret_cast<const uint8_t *>(input.ptr() + x + 7 * input_stride_in_bytes));
+
+                // Transpose 2x2
+                const uint8x8x2_t k0_u8 = vtrn_u8(row0, row1);
+                const uint8x8x2_t k1_u8 = vtrn_u8(row2, row3);
+                const uint8x8x2_t k2_u8 = vtrn_u8(row4, row5);
+                const uint8x8x2_t k3_u8 = vtrn_u8(row6, row7);
+
+                // Transpose 4x4
+                const uint16x4x2_t k0_u16 = vtrn_u16(vreinterpret_u16_u8(k0_u8.val[0]), vreinterpret_u16_u8(k1_u8.val[0]));
+                const uint16x4x2_t k1_u16 = vtrn_u16(vreinterpret_u16_u8(k0_u8.val[1]), vreinterpret_u16_u8(k1_u8.val[1]));
+                const uint16x4x2_t k2_u16 = vtrn_u16(vreinterpret_u16_u8(k2_u8.val[0]), vreinterpret_u16_u8(k3_u8.val[0]));
+                const uint16x4x2_t k3_u16 = vtrn_u16(vreinterpret_u16_u8(k2_u8.val[1]), vreinterpret_u16_u8(k3_u8.val[1]));
+
+                // Transpose 8x8
+                const uint32x2x2_t k0_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[0]), vreinterpret_u32_u16(k2_u16.val[0]));
+                const uint32x2x2_t k1_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[1]), vreinterpret_u32_u16(k2_u16.val[1]));
+                const uint32x2x2_t k2_u32 = vtrn_u32(vreinterpret_u32_u16(k1_u16.val[0]), vreinterpret_u32_u16(k3_u16.val[0]));
+                const uint32x2x2_t k3_u32 = vtrn_u32(vreinterpret_u32_u16(k1_u16.val[1]), vreinterpret_u32_u16(k3_u16.val[1]));
+
+                // Compute destination address
+                const size_t dst_offset_in_bytes = id.y() * sizeof(uint8_t) + x * output_stride_in_bytes;
+
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 0 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k0_u32.val[0])));
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 1 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k2_u32.val[0])));
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 2 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k1_u32.val[0])));
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 3 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k3_u32.val[0])));
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 4 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k0_u32.val[1])));
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 5 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k2_u32.val[1])));
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 6 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k1_u32.val[1])));
+                vst1_u8(reinterpret_cast<uint8_t *>(output.ptr() + dst_offset_in_bytes + 7 * output_stride_in_bytes), vreinterpret_u8_u16(vreinterpret_u16_u32(k3_u32.val[1])));
+            }
+
+            // Compute left-over elements along the x dimension (1x8)
+            for(; x < window_end_x; ++x)
+            {
+                const uint8_t val0 = *(input.ptr() + x + 0 * input_stride_in_bytes);
+                const uint8_t val1 = *(input.ptr() + x + 1 * input_stride_in_bytes);
+                const uint8_t val2 = *(input.ptr() + x + 2 * input_stride_in_bytes);
+                const uint8_t val3 = *(input.ptr() + x + 3 * input_stride_in_bytes);
+                const uint8_t val4 = *(input.ptr() + x + 4 * input_stride_in_bytes);
+                const uint8_t val5 = *(input.ptr() + x + 5 * input_stride_in_bytes);
+                const uint8_t val6 = *(input.ptr() + x + 6 * input_stride_in_bytes);
+                const uint8_t val7 = *(input.ptr() + x + 7 * input_stride_in_bytes);
+
+                uint8x8_t result = vdup_n_u8(0);
+                result           = vset_lane_u8(val0, result, 0);
+                result           = vset_lane_u8(val1, result, 1);
+                result           = vset_lane_u8(val2, result, 2);
+                result           = vset_lane_u8(val3, result, 3);
+                result           = vset_lane_u8(val4, result, 4);
+                result           = vset_lane_u8(val5, result, 5);
+                result           = vset_lane_u8(val6, result, 6);
+                result           = vset_lane_u8(val7, result, 7);
+
+                // Compute destination address
+                const size_t dst_offset_in_bytes = id.y() * sizeof(uint8_t) + x * output_stride_in_bytes;
+
+                vst1_u8(output.ptr() + dst_offset_in_bytes, result);
+            }
+        },
+        input, output);
+    }
+
+    if(left_over_loop_y)
+    {
+        window_in.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), 1));
+        window_in.set(Window::DimY, Window::Dimension(window_end_y_multiple_of, window_end_y, 1));
+
+        Iterator input(in, window_in);
+        Iterator output(out, window_out);
+
+        // Compute left-over elements along the y dimension (1x1)
+        execute_window_loop(window_in, [&](const Coordinates & id)
+        {
+            const uint8_t val0 = *input.ptr();
+
+            // Compute destination address
+            const size_t dst_offset_in_bytes = id.y() * sizeof(uint8_t) + id.x() * output_stride_in_bytes;
+
+            *(output.ptr() + dst_offset_in_bytes) = val0;
+        },
+        input, output);
+    }
+}
+
+void transpose_16bit_elements(const ITensor *in, ITensor *out, const Window &window)
+{
+    const int    window_step_x            = 4;
+    const int    window_step_y            = 4;
+    const int    window_start_x           = window.x().start();
+    const int    window_end_x             = window.x().end();
+    const int    window_start_y           = window.y().start();
+    const int    window_end_y             = std::min(window.y().end(), static_cast<int>(in->info()->dimension(1)));
+    const int    window_end_y_multiple_of = ((window_end_y - window_start_y) / window_step_y) * window_step_y;
+    const size_t input_stride_in_bytes    = in->info()->strides_in_bytes()[1];
+    const size_t output_stride_in_bytes   = out->info()->strides_in_bytes()[1];
+
+    // Check if we need a left-over loop for the y dimension
+    bool left_over_loop_y = (((window_end_y - window_start_y) % window_step_y) != 0);
+
+    Window window_in(window);
+    window_in.set(Window::DimX, Window::Dimension(0, 1, 1));
+    if(left_over_loop_y)
+    {
+        // Check if window_end_y_multiple_of is greater than window_start_y
+        if(window_end_y_multiple_of > window_start_y)
+        {
+            window_in.set(Window::DimY, Window::Dimension(window_start_y, window_end_y_multiple_of, window_step_y));
+        }
+        else
+        {
+            window_in.set(Window::DimY, Window::Dimension(0, 0, 1));
+        }
+    }
+
+    Window window_out(window);
+    window_out.set(Window::DimX, Window::Dimension(0, 0, 0));
+    window_out.set(Window::DimY, Window::Dimension(0, 0, 0));
+
+    Iterator output(out, window_out);
+
+    // Run the Neon path if and only if the input is not a row-vector
+    if(in->info()->dimension(1) != 1)
+    {
+        Iterator input(in, window_in);
+        execute_window_loop(window_in, [&](const Coordinates & id)
+        {
+            // Compute 4x4 elements per iteration
+            int x = window_start_x;
+            for(; x <= (window_end_x - window_step_x); x += window_step_x)
+            {
+                const uint16x4_t row0 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 0 * input_stride_in_bytes) + x);
+                const uint16x4_t row1 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 1 * input_stride_in_bytes) + x);
+                const uint16x4_t row2 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 2 * input_stride_in_bytes) + x);
+                const uint16x4_t row3 = vld1_u16(reinterpret_cast<const uint16_t *>(input.ptr() + 3 * input_stride_in_bytes) + x);
+
+                // Transpose 2x2
+                const uint16x4x2_t k0_u16 = vtrn_u16(row0, row1);
+                const uint16x4x2_t k1_u16 = vtrn_u16(row2, row3);
+
+                // Transpose 4x4
+                const uint32x2x2_t k0_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[0]), vreinterpret_u32_u16(k1_u16.val[0]));
+                const uint32x2x2_t k1_u32 = vtrn_u32(vreinterpret_u32_u16(k0_u16.val[1]), vreinterpret_u32_u16(k1_u16.val[1]));
+
+                // Compute destination address
+                const size_t dst_offset_in_bytes = id.y() * sizeof(uint16_t) + x * output_stride_in_bytes;
+
+                vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 0 * output_stride_in_bytes), vreinterpret_u16_u32(k0_u32.val[0]));
+                vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 1 * output_stride_in_bytes), vreinterpret_u16_u32(k1_u32.val[0]));
+                vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 2 * output_stride_in_bytes), vreinterpret_u16_u32(k0_u32.val[1]));
+                vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes + 3 * output_stride_in_bytes), vreinterpret_u16_u32(k1_u32.val[1]));
+            }
+
+            // Compute left-over elements (1x4)
+            for(; x < window_end_x; ++x)
+            {
+                const uint16_t val0 = *(reinterpret_cast<uint16_t *>(input.ptr() + 0 * input_stride_in_bytes) + x);
+                const uint16_t val1 = *(reinterpret_cast<uint16_t *>(input.ptr() + 1 * input_stride_in_bytes) + x);
+                const uint16_t val2 = *(reinterpret_cast<uint16_t *>(input.ptr() + 2 * input_stride_in_bytes) + x);
+                const uint16_t val3 = *(reinterpret_cast<uint16_t *>(input.ptr() + 3 * input_stride_in_bytes) + x);
+
+                uint16x4_t result = vdup_n_u16(0);
+                result            = vset_lane_u16(val0, result, 0);
+                result            = vset_lane_u16(val1, result, 1);
+                result            = vset_lane_u16(val2, result, 2);
+                result            = vset_lane_u16(val3, result, 3);
+
+                // Compute destination address
+                const size_t dst_offset_in_bytes = id.y() * sizeof(uint16_t) + x * output_stride_in_bytes;
+
+                vst1_u16(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes), result);
+            }
+        },
+        input, output);
+    }
+
+    if(left_over_loop_y)
+    {
+        window_in.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), 1));
+        window_in.set(Window::DimY, Window::Dimension(window_end_y_multiple_of, window_end_y, 1));
+
+        Iterator input(in, window_in);
+        Iterator output(out, window_out);
+
+        // Compute left-over elements along the y dimension (1x1)
+        execute_window_loop(window_in, [&](const Coordinates & id)
+        {
+            const uint16_t val0 = *(reinterpret_cast<uint16_t *>(input.ptr()));
+
+            // Compute destination address
+            const size_t dst_offset_in_bytes = id.y() * sizeof(uint16_t) + id.x() * output_stride_in_bytes;
+
+            *(reinterpret_cast<uint16_t *>(output.ptr() + dst_offset_in_bytes)) = val0;
+        },
+        input, output);
+    }
+}
+
+void transpose_32bit_elements(const ITensor *in, ITensor *out, const Window &window)
+{
+    const int    window_step_x            = 4;
+    const int    window_step_y            = 4;
+    const int    window_start_x           = window.x().start();
+    const int    window_end_x             = window.x().end();
+    const int    window_start_y           = window.y().start();
+    const int    window_end_y             = std::min(window.y().end(), static_cast<int>(in->info()->dimension(1)));
+    const int    window_end_y_multiple_of = ((window_end_y - window_start_y) / window_step_y) * window_step_y;
+    const size_t input_stride_in_bytes    = in->info()->strides_in_bytes()[1];
+    const size_t output_stride_in_bytes   = out->info()->strides_in_bytes()[1];
+
+    // Check if we need a left-over loop for the y dimension
+    bool left_over_loop_y = (((window_end_y - window_start_y) % window_step_y) != 0);
+
+    Window window_in(window);
+    window_in.set(Window::DimX, Window::Dimension(0, 1, 1));
+    if(left_over_loop_y)
+    {
+        // Check if window_end_y_multiple_of is greater than window_start_y
+        if(window_end_y_multiple_of > window_start_y)
+        {
+            window_in.set(Window::DimY, Window::Dimension(window_start_y, window_end_y_multiple_of, window_step_y));
+        }
+        else
+        {
+            window_in.set(Window::DimY, Window::Dimension(0, 0, 1));
+        }
+    }
+
+    Window window_out(window);
+    window_out.set(Window::DimX, Window::Dimension(0, 0, 0));
+    window_out.set(Window::DimY, Window::Dimension(0, 0, 0));
+
+    Iterator output(out, window_out);
+
+    // Run the Neon path if and only if the input is not a row-vector
+    if(in->info()->dimension(1) != 1)
+    {
+        Iterator input(in, window_in);
+        execute_window_loop(window_in, [&](const Coordinates & id)
+        {
+            // Compute 4x4 elements per iteration
+            int x = window_start_x;
+            for(; x <= (window_end_x - window_step_x); x += window_step_x)
+            {
+                const uint32x4_t row0 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 0 * input_stride_in_bytes) + x);
+                const uint32x4_t row1 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 1 * input_stride_in_bytes) + x);
+                const uint32x4_t row2 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 2 * input_stride_in_bytes) + x);
+                const uint32x4_t row3 = vld1q_u32(reinterpret_cast<const uint32_t *>(input.ptr() + 3 * input_stride_in_bytes) + x);
+
+                // Transpose 2x2
+                const uint32x2x2_t k0_u32 = vtrn_u32(vget_low_u32(row0), vget_low_u32(row1));
+                const uint32x2x2_t k1_u32 = vtrn_u32(vget_high_u32(row2), vget_high_u32(row3));
+                const uint32x2x2_t k2_u32 = vtrn_u32(vget_high_u32(row0), vget_high_u32(row1));
+                const uint32x2x2_t k3_u32 = vtrn_u32(vget_low_u32(row2), vget_low_u32(row3));
+
+                // Compute destination address
+                const size_t dst_offset_in_bytes = id.y() * sizeof(uint32_t) + x * output_stride_in_bytes;
+
+                // Swap block 01 with block 10 and store
+                vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 0 * output_stride_in_bytes), vcombine_u32(k0_u32.val[0], k3_u32.val[0]));
+                vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 1 * output_stride_in_bytes), vcombine_u32(k0_u32.val[1], k3_u32.val[1]));
+                vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 2 * output_stride_in_bytes), vcombine_u32(k2_u32.val[0], k1_u32.val[0]));
+                vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes + 3 * output_stride_in_bytes), vcombine_u32(k2_u32.val[1], k1_u32.val[1]));
+            }
+
+            // Compute left-over elements (1x4)
+            for(; x < window_end_x; ++x)
+            {
+                const uint32_t val0 = *(reinterpret_cast<uint32_t *>(input.ptr() + 0 * input_stride_in_bytes) + x);
+                const uint32_t val1 = *(reinterpret_cast<uint32_t *>(input.ptr() + 1 * input_stride_in_bytes) + x);
+                const uint32_t val2 = *(reinterpret_cast<uint32_t *>(input.ptr() + 2 * input_stride_in_bytes) + x);
+                const uint32_t val3 = *(reinterpret_cast<uint32_t *>(input.ptr() + 3 * input_stride_in_bytes) + x);
+
+                uint32x4_t result = vdupq_n_u32(0);
+                result            = vsetq_lane_u32(val0, result, 0);
+                result            = vsetq_lane_u32(val1, result, 1);
+                result            = vsetq_lane_u32(val2, result, 2);
+                result            = vsetq_lane_u32(val3, result, 3);
+
+                // Compute destination address
+                const size_t dst_offset_in_bytes = id.y() * sizeof(uint32_t) + x * output_stride_in_bytes;
+
+                vst1q_u32(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes), result);
+            }
+        },
+        input, output);
+    }
+
+    if(left_over_loop_y)
+    {
+        window_in.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), 1));
+        window_in.set(Window::DimY, Window::Dimension(window_end_y_multiple_of, window_end_y, 1));
+
+        Iterator input(in, window_in);
+        Iterator output(out, window_out);
+
+        // Compute left-over elements along the y dimension (1x1)
+        execute_window_loop(window_in, [&](const Coordinates & id)
+        {
+            const uint32_t val0 = *(reinterpret_cast<uint32_t *>(input.ptr()));
+
+            // Compute destination address
+            const size_t dst_offset_in_bytes = id.y() * sizeof(uint32_t) + id.x() * output_stride_in_bytes;
+
+            *(reinterpret_cast<uint32_t *>(output.ptr() + dst_offset_in_bytes)) = val0;
+        },
+        input, output);
+    }
+}
+} // namespace
+
+void CpuTransposeKernel::configure(const ITensorInfo *src, ITensorInfo *dst)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+
+    // Destination auto inizialitation if not yet initialized
+    const TensorShape dst_shape = misc::shape_calculator::compute_transposed_shape(*src);
+    auto_init_if_empty(*dst, src->clone()->set_tensor_shape(dst_shape));
+
+    // Perform validation step
+    ARM_COMPUTE_ERROR_THROW_ON(validate(src, dst));
+
+    // Note: This kernel performs 16 elements per iteration.
+    // However, since we use a left-over for loop on both dimensions (X and Y), we cannot have any read or write out of memory
+    // For this reason num_elems_processed_per_iteration_x is set to 1
+    const unsigned int num_elems_processed_per_iteration_x = 1;
+    const unsigned int num_elems_processed_per_iteration_y = num_elems_processed(src->element_size());
+
+    // Configure kernel window
+    Window win = calculate_max_window(*src, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
+
+    // The CpuTranspose doesn't need padding so update_window_and_padding() can be skipped
+    Coordinates coord;
+    coord.set_num_dimensions(dst->num_dimensions());
+    dst->set_valid_region(ValidRegion(coord, dst->tensor_shape()));
+
+    ICpuKernel::configure(win);
+}
+
+Status CpuTransposeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
+    //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use Neon FP16 instructions.
+    ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
+
+    // Error if input is not 8 bit, 16bit or 32bit
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->element_size() != 1 && src->element_size() != 2 && src->element_size() != 4,
+                                    "Element size not supported");
+
+    // Validate configured destination
+    if(dst->total_size() != 0)
+    {
+        const TensorShape dst_shape = misc::shape_calculator::compute_transposed_shape(*src);
+
+        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{};
+}
+
+void CpuTransposeKernel::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:
+            transpose_8bit_elements(src, dst, window);
+            break;
+        case 2:
+            transpose_16bit_elements(src, dst, window);
+            break;
+        case 4:
+            transpose_32bit_elements(src, dst, window);
+            break;
+        default:
+            ARM_COMPUTE_ERROR("Element size not supported");
+            break;
+    }
+}
+
+const char *CpuTransposeKernel::name() const
+{
+    return "CpuTransposeKernel";
+}
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute
diff --git a/src/core/cpu/kernels/CpuTransposeKernel.h b/src/core/cpu/kernels/CpuTransposeKernel.h
new file mode 100644
index 0000000..f09f427
--- /dev/null
+++ b/src/core/cpu/kernels/CpuTransposeKernel.h
@@ -0,0 +1,64 @@
+/*
+ * Copyright (c) 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.
+ */
+#ifndef ARM_COMPUTE_CPU_TRANSPOSE_KERNEL_H
+#define ARM_COMPUTE_CPU_TRANSPOSE_KERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/core/cpu/ICpuKernel.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+/** Kernel which transposes the elements of a matrix */
+class CpuTransposeKernel : public ICpuKernel
+{
+public:
+    CpuTransposeKernel() = default;
+    ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuTransposeKernel);
+    /** Configure kernel for a given list of arguments
+     *
+     * @param[in]  src Srouce tensor to permute. Data types supported: All
+     * @param[out] dst Destination tensor. Data types supported: Same as @p src
+     */
+    void configure(const ITensorInfo *src, ITensorInfo *dst);
+    /** Static function to check if given info will lead to a valid configuration of @ref CpuTransposeKernel
+     *
+     * @param[in] src Source tensor to permute. Data types supported: All
+     * @param[in] dst Destination tensor. Data types supported: Same as @p src
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *src, const ITensorInfo *dst);
+
+    // Inherited methods overridden:
+    void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
+    const char *name() const override;
+};
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CPU_TRANSPOSE_KERNEL_H */