diff --git a/src/core/NEON/kernels/arm_gemm/quantize_wrapper.hpp b/src/core/NEON/kernels/arm_gemm/quantize_wrapper.hpp
new file mode 100644
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+++ b/src/core/NEON/kernels/arm_gemm/quantize_wrapper.hpp
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+/*
+ * Copyright (c) 2019 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.
+ */
+
+#pragma once
+
+#include "arm_gemm.hpp"
+
+#include "barrier.hpp"
+#include "gemm_implementation.hpp"
+#include "quantized.hpp"
+
+namespace arm_gemm {
+
+/* Quantized wrapper - do an integer GEMM and wrap around the quantization. */
+
+template<typename To, typename Tr, typename Tgemm>
+class QuantizeWrapper : public GemmCommon<To, Tr> {
+private:
+    UniqueGemmCommon<To, Tgemm>  _subgemm = nullptr;
+    int32_t                     *_row_sums = nullptr;
+    int32_t                     *_col_sums = nullptr;
+    ARequantizeLayer32           _params;
+    GemmArgs<Tr>                 _args;
+    barrier                      _barrier;
+
+    void *working_space = nullptr;
+    bool  arrays_set = false;
+
+    /* We need a subgemm which outputs the 32-bit intermediates - how much space is needed for that? */
+    size_t subgemm_output_size() const {
+        return (_args._Msize * _args._Nsize * _args._nbatches * _args._nmulti * sizeof(int32_t));
+    }
+
+    size_t col_sum_size() const {
+        return (_args._Nsize * _args._nmulti * sizeof(int32_t));
+    }
+
+    size_t row_sum_size() const {
+        return (_args._Msize * _args._nbatches * _args._nmulti * sizeof(int32_t));
+    }
+
+    /* Local working space: We need space for the subgemm output (above) and
+     * the row sums.  If the GEMM is not pretransposed we need to store the
+     * column sums here too.  */
+    size_t local_working_size() const {
+        size_t sz = subgemm_output_size() + row_sum_size();
+
+        if (_args._pretransposed_hint) {
+            return sz;
+        }
+
+        return sz + col_sum_size();
+    }
+
+    void set_child_arrays() {
+        if (working_space == nullptr || arrays_set == false)
+            return;
+
+        /* Use the first part of our working space for the subgemm result, pass the operand details straight through. */
+        _subgemm->set_arrays(this->_Aptr, this->_lda, this->_A_batch_stride, this->_A_multi_stride,
+                             this->_Bptr, this->_ldb,                        this->_B_multi_stride,
+                             reinterpret_cast<Tgemm *>(working_space), _args._Nsize, (_args._Nsize * _args._Msize), (_args._Nsize * _args._Msize * _args._nbatches));
+    }
+
+    void col_sums_pretransposed(const To *B, const int ldb, const int B_multi_stride) {
+        for (unsigned int multi=0; multi<_args._nmulti; multi++) {
+            compute_col_sums(_params, _args._Nsize, _args._Ksize, B + (multi * B_multi_stride), ldb, _col_sums + (multi * _args._Nsize), _args._Ksize, 0);
+        }
+    }
+
+    void col_sums_runtime(unsigned int threadid) {
+        unsigned int first_col = (threadid * _args._Nsize) / _args._maxthreads;
+        unsigned int last_col = ((threadid + 1) * _args._Nsize) / _args._maxthreads;
+
+        for (unsigned int multi=0; multi<_args._nmulti; multi++) {
+            compute_col_sums(_params, (last_col - first_col), _args._Ksize, this->_Bptr + (multi * this->_B_multi_stride) + first_col, this->_ldb, _col_sums + (multi * _args._Nsize) + first_col, _args._Ksize, first_col);
+        }
+    }
+
+    void requantize_runtime(unsigned int threadid) {
+        unsigned int first_row = (threadid * _args._Msize) / _args._maxthreads;
+        unsigned int last_row = ((threadid+1) * _args._Msize) / _args._maxthreads;
+
+        for (unsigned int multi=0; multi<_args._nmulti; multi++) {
+            for (unsigned int batch=0; batch<_args._nbatches; batch++) {
+                /* Compute row sums now */
+                compute_row_sums(_params, _args._Ksize, (last_row - first_row), this->_Aptr + (multi * this->_A_multi_stride) + (batch * this->_A_batch_stride) + (first_row * this->_lda),
+                                           this->_lda, _row_sums + (multi * _args._nbatches * _args._Msize) + (batch * _args._Msize) + first_row);
+                // If we don't care about negative values, call the version of this function that doesn't correct before shifting.
+                // 'c_offset' represents zero, so if the lowest possible quantized output value is the same or more than that we will not output negative numbers.
+                requantize_block_32(_params, _args._Nsize, (last_row - first_row),
+                                    reinterpret_cast<Tgemm *>(working_space) + (multi * (_args._Msize * _args._Nsize * _args._nbatches)) + (batch * (_args._Msize * _args._Nsize)) + (first_row * _args._Nsize),
+                                    _args._Nsize,
+                                    this->_Cptr + (multi * this->_C_multi_stride) + (batch * this->_C_batch_stride) + (first_row * this->_ldc), this->_ldc,
+                                    _row_sums + (multi * _args._nbatches * _args._Msize) + (batch * _args._Msize) + first_row,
+                                    _col_sums + (multi * _args._Nsize));
+            }
+        }
+    }
+
+
+public:
+    QuantizeWrapper(const GemmArgs<Tr> &args, const ARequantizeLayer32 &qp) : _params(qp), _args(args), _barrier(args._maxthreads) {
+        GemmArgs<Tgemm> newargs = GemmArgs<Tgemm>(args._ci, args._Msize, args._Nsize, args._Ksize, args._nbatches, args._nmulti, args._trA, args._trB, 1, 0, args._maxthreads, args._pretransposed_hint, nullptr);
+        _subgemm = gemm<To, Tgemm>(newargs);
+
+        if (_subgemm == nullptr) {
+            return;
+        }
+
+        if (!_subgemm->B_is_pretransposed()) {
+            _args._pretransposed_hint = false;
+        }
+    }
+
+    QuantizeWrapper(const QuantizeWrapper &) = delete;
+    QuantizeWrapper &operator=(const QuantizeWrapper &) = delete;
+    QuantizeWrapper(QuantizeWrapper &&)                 = default;
+    QuantizeWrapper &operator=(QuantizeWrapper &&) = default;
+
+    void set_arrays(const To *A, const int lda, const int A_batch_stride, const int A_multi_stride,
+                    const To *B, const int ldb, const int B_multi_stride,
+                          Tr *C, const int ldc, const int C_batch_stride, const int C_multi_stride) override {
+        GemmCommon<To, Tr>::set_arrays(A, lda, A_batch_stride, A_multi_stride, B, ldb, B_multi_stride, C, ldc, C_batch_stride, C_multi_stride);
+
+        arrays_set = true;
+        set_child_arrays();
+    }
+
+    unsigned int get_window_size() const override {
+        return _subgemm->get_window_size();
+    }
+
+    void set_nthreads(int nthreads) override {
+        _subgemm->set_nthreads(nthreads);
+        _barrier.set_nthreads(nthreads);
+        _args._maxthreads = nthreads;
+    }
+
+    void execute(unsigned int start, unsigned int end, int threadid) override {
+        _subgemm->execute(start, end, threadid);
+        if (!_args._pretransposed_hint) {
+            col_sums_runtime(threadid);
+        }
+
+        _barrier.arrive_and_wait();
+
+        requantize_runtime(threadid);
+    }
+
+    size_t get_working_size() const override {
+        return _subgemm->get_working_size() + local_working_size();
+    }
+
+    // Space arrangement:
+
+    // ptr
+    // V
+    // | subgemm output | row_sums | col_sums (if not pretransposed | subgemm working space |
+    void set_working_space(void *space) override {
+        uintptr_t space_int = reinterpret_cast<uintptr_t>(space);
+
+        working_space = space;
+        _subgemm->set_working_space(reinterpret_cast<void *>(space_int + local_working_size()));
+
+        _row_sums = reinterpret_cast<int32_t *>(space_int + subgemm_output_size());
+        if (!_args._pretransposed_hint) {
+            _col_sums = reinterpret_cast<int32_t *>(space_int + subgemm_output_size() + row_sum_size());
+        }
+
+        set_child_arrays();
+    }
+
+    bool B_is_pretransposed() const override {
+        /* We clear this flag if the subgemm isn't pretransposed, so just return its value */
+        return _args._pretransposed_hint;
+    }
+
+    bool B_pretranspose_required() const override {
+        return _subgemm->B_pretranspose_required();
+    }
+
+    size_t get_B_pretransposed_array_size() const override {
+        if (_args._pretransposed_hint) {
+            return _subgemm->get_B_pretransposed_array_size() + col_sum_size();
+        }
+
+        return 0;
+    }
+
+    void pretranspose_B_array(void *buffer, const To *B, const int ldb, const int B_multi_stride) override {
+        if (!_args._pretransposed_hint) {
+            return;
+        }
+
+        uintptr_t buffer_int = reinterpret_cast<uintptr_t>(buffer);
+        _subgemm->pretranspose_B_array(reinterpret_cast<void *>(buffer_int + col_sum_size()), B, ldb, B_multi_stride);
+
+        _col_sums = reinterpret_cast<int32_t *>(buffer);
+
+        col_sums_pretransposed(B, ldb, B_multi_stride);
+    }
+
+    void set_pretransposed_B_data(void *buffer) override {
+        if (!_args._pretransposed_hint) {
+            return;
+        }
+
+        uintptr_t buffer_int = reinterpret_cast<uintptr_t>(buffer);
+        _subgemm->set_pretransposed_B_data(reinterpret_cast<void *>(buffer_int + col_sum_size()));
+        _col_sums = reinterpret_cast<int32_t *>(buffer);
+    }
+
+    void set_quantized_bias(const int32_t *bias) override {
+        _params.bias = bias;
+    }
+};
+
+} // namespace arm_gemm