diff --git a/arm_compute/runtime/CL/functions/CLSplit.h b/arm_compute/runtime/CL/functions/CLSplit.h
index 7e22f52..87265a4 100644
--- a/arm_compute/runtime/CL/functions/CLSplit.h
+++ b/arm_compute/runtime/CL/functions/CLSplit.h
@@ -24,9 +24,11 @@
 #ifndef ARM_COMPUTE_CLSPLIT_H
 #define ARM_COMPUTE_CLSPLIT_H
 
+#include "arm_compute/core/CL/ICLTensor.h"
 #include "arm_compute/core/Types.h"
 
 #include "arm_compute/runtime/CL/functions/CLSlice.h"
+#include "arm_compute/runtime/CPP/functions/CPPSplit.h"
 #include "arm_compute/runtime/IFunction.h"
 
 #include <memory>
@@ -34,43 +36,12 @@
 
 namespace arm_compute
 {
-// Forward declarations
-class ICLTensor;
-
 /** Basic function to split a tensor along a given axis */
-class CLSplit : public IFunction
+class CLSplit : public CPPSplit<CLSlice, ICLTensor>
 {
 public:
-    /** Default constructor */
-    CLSplit();
-    /** Initialise the kernel's input and outputs.
-     *
-     * @param[in]  input   The input tensor. Data types supported: All.
-     * @param[out] outputs A vector containing the output tensors. Data types supported: Same as @p input.
-     *                     The output tensors should match the input tensor dimensions for all shape dimensions apart
-     *                     from the split dimension.
-     * @param[in]  axis    Axis on which to split the input.
-     */
-    void configure(const ICLTensor *input, const std::vector<ICLTensor *> &outputs, unsigned int axis);
-    /** Static function to check if given info will lead to a valid configuration of @ref CLSplit
-     *
-     * @param[in] input   The input tensor info. Data types supported: All.
-     * @param[in] outputs A vector containing the output tensors' info. Data types supported: Same as @p input.
-     *                    The output tensors should match the input tensor dimensions for all shape dimensions apart
-     *                    from the split dimension
-     * @param[in] axis    Axis on which to split the input.
-     *
-     * @return a status
-     */
-    static Status validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &outputs, unsigned int axis);
-
     // Inherited methods overridden:
     void run() override;
-
-private:
-    std::vector<ICLTensor *> _outputs_vector;
-    std::vector<CLSlice>     _slice_functions;
-    unsigned int             _num_outputs;
 };
 } // namespace arm_compute
 #endif /* ARM_COMPUTE_CLSPLIT_H */
diff --git a/arm_compute/runtime/CPP/CPPFunctions.h b/arm_compute/runtime/CPP/CPPFunctions.h
index b78436c..c196381 100644
--- a/arm_compute/runtime/CPP/CPPFunctions.h
+++ b/arm_compute/runtime/CPP/CPPFunctions.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -30,6 +30,7 @@
 #include "arm_compute/runtime/CPP/functions/CPPDetectionPostProcessLayer.h"
 #include "arm_compute/runtime/CPP/functions/CPPNonMaximumSuppression.h"
 #include "arm_compute/runtime/CPP/functions/CPPPermute.h"
+#include "arm_compute/runtime/CPP/functions/CPPSplit.h"
 #include "arm_compute/runtime/CPP/functions/CPPTopKV.h"
 #include "arm_compute/runtime/CPP/functions/CPPUpsample.h"
 
diff --git a/arm_compute/runtime/CPP/functions/CPPSplit.h b/arm_compute/runtime/CPP/functions/CPPSplit.h
new file mode 100644
index 0000000..6adcbc3
--- /dev/null
+++ b/arm_compute/runtime/CPP/functions/CPPSplit.h
@@ -0,0 +1,197 @@
+/*
+ * Copyright (c) 2020 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_CPP_SPLIT_H
+#define ARM_COMPUTE_CPP_SPLIT_H
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+#include "support/ToolchainSupport.h"
+
+#include "arm_compute/runtime/IFunction.h"
+
+namespace arm_compute
+{
+/** Basic function to split a tensor along a given axis */
+template <typename SliceType, typename TensorInterfaceType = ITensor>
+class CPPSplit : public IFunction
+{
+public:
+    CPPSplit()
+        : _outputs_vector(), _slice_functions(), _num_outputs(0)
+    {
+    }
+    /** Static function to check if given info will lead to a valid configuration of @ref CPPSplit
+     *
+     * @param[in] input   The input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
+     * @param[in] outputs A vector containing the output tensors' info. Data types supported: Same as @p input.
+     *                    The output tensors should match the input tensor dimensions for all shape dimensions apart
+     *                    from the split dimension
+     * @param[in] axis    Axis on which to split the input.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &outputs, unsigned int axis)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
+        ARM_COMPUTE_RETURN_ERROR_ON(axis >= input->num_dimensions());
+        ARM_COMPUTE_RETURN_ERROR_ON(outputs.size() < 2);
+
+        // Get output shape
+        TensorShape  output_shape{};
+        unsigned int total_output_shape_size = 0;
+
+        // Sum the output sizes and fall back to evenly-sized splits if any are zero
+        const bool using_split_shapes = std::none_of(outputs.begin(), outputs.end(), [&total_output_shape_size](ITensorInfo * info)
+        {
+            unsigned int output_shape_size = info->tensor_shape().total_size();
+            total_output_shape_size += output_shape_size;
+            return output_shape_size == 0;
+        });
+
+        if(using_split_shapes)
+        {
+            ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().total_size() != total_output_shape_size);
+        }
+        else
+        {
+            output_shape = arm_compute::misc::shape_calculator::compute_split_shape(input, axis, outputs.size());
+            ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0);
+        }
+
+        // Validate output tensors
+        unsigned int axis_offset = 0;
+        for(const auto &output : outputs)
+        {
+            ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
+            if(using_split_shapes)
+            {
+                output_shape = output->tensor_shape();
+                ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0);
+            }
+
+            const size_t axis_split_step = output_shape[axis];
+
+            // Start/End coordinates
+            Coordinates start_coords;
+            Coordinates end_coords;
+            for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d)
+            {
+                end_coords.set(d, -1);
+            }
+
+            // Output auto inizialitation if not yet initialized
+            TensorInfo tmp_output_info = *output->clone();
+            auto_init_if_empty(tmp_output_info, input->clone()->set_is_resizable(true).set_tensor_shape(output_shape));
+
+            // Update coordinate on axis
+            start_coords.set(axis, axis_offset);
+            end_coords.set(axis, axis_offset + axis_split_step);
+
+            ARM_COMPUTE_RETURN_ON_ERROR(SliceType::validate(input, output, start_coords, end_coords));
+            axis_offset += axis_split_step;
+        }
+
+        return Status{};
+    }
+
+    /** Initialise the kernel's input and outputs.
+     *
+     * @param[in]  input   The input tensor. Data types supported: All
+     * @param[out] outputs A vector containing the output tensors. Data types supported: Same as @p input.
+     *                     The output tensors should match the input tensor dimensions for all shape dimensions apart
+     *                     from the split dimension.
+     * @param[in]  axis    Axis on which to split the input.
+     */
+    void configure(const TensorInterfaceType *input, const std::vector<TensorInterfaceType *> &outputs, unsigned int axis)
+    {
+        // Create Slice functions
+        _num_outputs = outputs.size();
+        _slice_functions.resize(_num_outputs);
+
+        // Extract output tensor info
+        std::vector<ITensorInfo *> outputs_info;
+        for(auto &output : outputs)
+        {
+            ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+            outputs_info.emplace_back(output->info());
+        }
+
+        // If any of the outputs have a zero size, fall-back to using evenly-sized output splits
+        const bool outputs_have_sizes = std::none_of(outputs_info.begin(), outputs_info.end(), [](ITensorInfo * info)
+        {
+            return info->tensor_shape().total_size() == 0;
+        });
+
+        // Validate
+        ARM_COMPUTE_ERROR_THROW_ON(CPPSplit::validate(input->info(), outputs_info, axis));
+
+        unsigned int axis_offset = 0;
+        unsigned int i           = 0;
+
+        for(const auto &output_info : outputs_info)
+        {
+            // Get output shape
+            TensorShape output_shape = (outputs_have_sizes ?
+                                        output_info->tensor_shape() :
+                                        arm_compute::misc::shape_calculator::compute_split_shape(input->info(), axis, _num_outputs));
+
+            const size_t axis_split_step = output_shape[axis];
+
+            // Start/End coordinates
+            Coordinates start_coords;
+            Coordinates end_coords;
+
+            for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d)
+            {
+                end_coords.set(d, -1);
+            }
+
+            // Update coordinate on axis
+            start_coords.set(axis, axis_offset);
+            end_coords.set(axis, axis_offset + axis_split_step);
+
+            // Configure slice function
+            _slice_functions[i].configure(input, outputs[i], start_coords, end_coords);
+
+            // Set valid region from shape
+            outputs[i]->info()->set_valid_region(ValidRegion(Coordinates(), output_shape));
+
+            // Update axis offset
+            axis_offset += axis_split_step;
+            ++i;
+        }
+    }
+
+protected:
+    std::vector<TensorInterfaceType *> _outputs_vector;
+    std::vector<SliceType>             _slice_functions;
+    unsigned int                       _num_outputs;
+};
+
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CPP_SPLIT_H */