diff --git a/src/cpu/operators/CpuScale.cpp b/src/cpu/operators/CpuScale.cpp
new file mode 100644
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+++ b/src/cpu/operators/CpuScale.cpp
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+/*
+ * 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/cpu/operators/CpuScale.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/core/utils/ScaleUtils.h"
+#include "src/cpu/kernels/CpuScaleKernel.h"
+#include "support/Rounding.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace
+{
+void precompute_dx_dy_offsets(ITensor *dx, ITensor *dy, ITensor *offsets, float wr, float hr, SamplingPolicy sampling_policy, bool align_corners)
+{
+    ARM_COMPUTE_ERROR_ON(offsets == nullptr);
+    float sampling_offset = 0.0f;
+    if(sampling_policy == SamplingPolicy::CENTER)
+    {
+        sampling_offset = 0.5f;
+    }
+
+    Window win;
+    win.set(Window::DimX, Window::Dimension(0, offsets->info()->dimension(0), 1));
+    win.set(Window::DimY, Window::Dimension(0, offsets->info()->dimension(1), 1));
+
+    if(dx != nullptr && dy != nullptr)
+    {
+        // Pre-compute the offset and pixel's distance for BILINEAR interpolation
+        Iterator offsets_it(offsets, win);
+        Iterator dx_it(dx, win);
+        Iterator dy_it(dy, win);
+
+        execute_window_loop(win, [&](const Coordinates & id)
+        {
+            const float in_x  = (id.x() + sampling_offset) * wr - sampling_offset;
+            const float in_y  = (id.y() + sampling_offset) * hr - sampling_offset;
+            const int   in_xi = std::floor(in_x);
+            const int   in_yi = std::floor(in_y);
+
+            *reinterpret_cast<int32_t *>(offsets_it.ptr()) = in_xi;
+            *reinterpret_cast<float *>(dx_it.ptr())        = in_x - in_xi;
+            *reinterpret_cast<float *>(dy_it.ptr())        = in_y - in_yi;
+        },
+        offsets_it, dx_it, dy_it);
+    }
+    else
+    {
+        // Pre-compute the offset for NEAREST interpolation
+        Iterator offsets_it(offsets, win);
+
+        execute_window_loop(win, [&](const Coordinates & id)
+        {
+            const float float_in_xi                        = (id.x() + sampling_offset) * wr;
+            const auto  in_xi                              = static_cast<size_t>(align_corners ? arm_compute::utils::rounding::round_half_away_from_zero(float_in_xi) : std::floor(float_in_xi));
+            *reinterpret_cast<int32_t *>(offsets_it.ptr()) = in_xi;
+        },
+        offsets_it);
+    }
+}
+} // namespace
+
+void CpuScale::configure(ITensorInfo *src, ITensorInfo *dst, const ScaleKernelInfo &info)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_ERROR_THROW_ON(CpuScale::validate(src, dst, info));
+
+    _scale_info  = info;
+    _is_prepared = false;
+
+    // Get data layout and width/height indices
+    _data_layout         = _scale_info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : _scale_info.data_layout;
+    const int idx_width  = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH);
+    const int idx_height = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT);
+
+    // Compute the ratio between source width/height and destination width/height
+    const bool is_align_corners_used = _scale_info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(_scale_info.sampling_policy);
+    const auto wr                    = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_width), dst->dimension(idx_width), is_align_corners_used);
+    const auto hr                    = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_height), dst->dimension(idx_height), is_align_corners_used);
+
+    // Area interpolation behaves as Nearest Neighbour in case of up-sampling
+    InterpolationPolicy policy_to_use = (_scale_info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f
+                                         && hr <= 1.f) ?
+                                        InterpolationPolicy::NEAREST_NEIGHBOR :
+                                        _scale_info.interpolation_policy;
+
+    // Get the tensor shape
+    TensorShape shape(dst->dimension(idx_width));
+    shape.set(1, dst->dimension(idx_height), false);
+
+    TensorInfo tensor_info_offsets(shape, Format::S32);
+    TensorInfo tensor_info_dxdy(shape, Format::F32);
+
+    auto dx           = std::make_unique<TensorInfo>(tensor_info_dxdy);
+    auto dy           = std::make_unique<TensorInfo>(tensor_info_dxdy);
+    auto offsets      = std::make_unique<TensorInfo>(tensor_info_offsets);
+    auto scale_kernel = std::make_unique<kernels::CpuScaleKernel>();
+    switch(policy_to_use)
+    {
+        case InterpolationPolicy::NEAREST_NEIGHBOR:
+        {
+            scale_kernel->configure(src, nullptr, nullptr, offsets.get(), dst, info);
+            break;
+        }
+        case InterpolationPolicy::BILINEAR:
+        {
+            scale_kernel->configure(src, dx.get(), dy.get(), offsets.get(), dst, info);
+            break;
+        }
+        case InterpolationPolicy::AREA:
+        {
+            scale_kernel->configure(src, nullptr, nullptr, nullptr, dst, info);
+            break;
+        }
+        default:
+            ARM_COMPUTE_ERROR("Unsupported interpolation mode");
+    }
+    _kernel = std::move(scale_kernel);
+}
+
+Status CpuScale::validate(const ITensorInfo *src, const ITensorInfo *dst, const ScaleKernelInfo &info)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_RETURN_ERROR_ON(info.sampling_policy != SamplingPolicy::CENTER && info.sampling_policy != SamplingPolicy::TOP_LEFT);
+
+    ITensorInfo *offsets = nullptr;
+    ITensorInfo *dx      = nullptr;
+    ITensorInfo *dy      = nullptr;
+
+    // Get data layout and width/height indices
+    const DataLayout data_layout = info.data_layout == DataLayout::UNKNOWN ? src->data_layout() : info.data_layout;
+    const int        idx_width   = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+    const int        idx_height  = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+
+    // Compute the ratio between source width/height and destination width/height
+    const bool is_align_corners_used = info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(info.sampling_policy);
+    const auto wr                    = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_width), dst->dimension(idx_width), is_align_corners_used);
+    const auto hr                    = arm_compute::scale_utils::calculate_resize_ratio(src->dimension(idx_height), dst->dimension(idx_height), is_align_corners_used);
+
+    // Area interpolation behaves as Nearest Neighbour in case of up-sampling
+    InterpolationPolicy policy_to_use = (info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) ? InterpolationPolicy::NEAREST_NEIGHBOR : info.interpolation_policy;
+
+    // Get the tensor shape of auxilary buffers
+    const TensorShape shape(dst->dimension(idx_width), dst->dimension(idx_height));
+    TensorInfo        tensor_info_offsets(shape, Format::S32);
+    TensorInfo        tensor_info_dx(shape, Format::F32);
+    TensorInfo        tensor_info_dy(shape, Format::F32);
+    switch(policy_to_use)
+    {
+        case InterpolationPolicy::NEAREST_NEIGHBOR:
+            offsets = &tensor_info_offsets;
+            break;
+        case InterpolationPolicy::BILINEAR:
+            offsets = &tensor_info_offsets;
+            dx      = &tensor_info_dx;
+            dy      = &tensor_info_dy;
+            break;
+        default:
+            break;
+    }
+
+    ARM_COMPUTE_RETURN_ON_ERROR(kernels::CpuScaleKernel::validate(src->clone().get(), dx, dy, offsets, dst->clone().get(), info));
+    return Status{};
+}
+
+void CpuScale::prepare(ITensorPack &tensors)
+{
+    if(!_is_prepared)
+    {
+        _is_prepared       = true;
+        const auto src     = tensors.get_const_tensor(TensorType::ACL_SRC);
+        auto       dst     = tensors.get_tensor(TensorType::ACL_DST);
+        auto       dx      = tensors.get_tensor(TensorType::ACL_INT_0);
+        auto       dy      = tensors.get_tensor(TensorType::ACL_INT_1);
+        auto       offsets = tensors.get_tensor(TensorType::ACL_INT_2);
+
+        // Get data layout and width/height indices
+        const int idx_width  = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::WIDTH);
+        const int idx_height = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::HEIGHT);
+
+        // Compute the ratio between source width/height and destination width/height
+        const bool is_align_corners_used = _scale_info.align_corners && arm_compute::scale_utils::is_align_corners_allowed_sampling_policy(_scale_info.sampling_policy);
+        const auto wr                    = arm_compute::scale_utils::calculate_resize_ratio(src->info()->dimension(idx_width), dst->info()->dimension(idx_width), is_align_corners_used);
+        const auto hr                    = arm_compute::scale_utils::calculate_resize_ratio(src->info()->dimension(idx_height), dst->info()->dimension(idx_height), is_align_corners_used);
+
+        // Area interpolation behaves as Nearest Neighbour in case of up-sampling
+        InterpolationPolicy policy_to_use = (_scale_info.interpolation_policy == InterpolationPolicy::AREA && wr <= 1.f
+                                             && hr <= 1.f) ?
+                                            InterpolationPolicy::NEAREST_NEIGHBOR :
+                                            _scale_info.interpolation_policy;
+        const SamplingPolicy sampling_policy = _scale_info.sampling_policy;
+
+        switch(policy_to_use)
+        {
+            case InterpolationPolicy::NEAREST_NEIGHBOR:
+            {
+                // Pre-compute offsets for nearest interpolation
+                precompute_dx_dy_offsets(nullptr, nullptr, offsets, wr, hr, sampling_policy, is_align_corners_used);
+                break;
+            }
+            case InterpolationPolicy::BILINEAR:
+            {
+                // Pre-compute dx, dy and offsets for bilinear interpolation
+                precompute_dx_dy_offsets(dx, dy, offsets, wr, hr, sampling_policy, is_align_corners_used);
+                break;
+            }
+            case InterpolationPolicy::AREA:
+            {
+                break;
+            }
+            default:
+                ARM_COMPUTE_ERROR("Unsupported interpolation mode");
+        }
+    }
+}
+
+void CpuScale::run(ITensorPack &tensors)
+{
+    ARM_COMPUTE_ERROR_ON_MSG(tensors.empty(), "No inputs provided");
+    prepare(tensors);
+    NEScheduler::get().schedule_op(_kernel.get(), Window::DimY, _kernel->window(), tensors);
+}
+} // namespace cpu
+} // namespace arm_compute