diff --git a/src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp
index e849891..4ab6f3e 100644
--- a/src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp
+++ b/src/core/GLES_COMPUTE/kernels/GCIm2ColKernel.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -21,6 +21,7 @@
  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  * SOFTWARE.
  */
+
 #include "arm_compute/core/GLES_COMPUTE/kernels/GCIm2ColKernel.h"
 
 #include "arm_compute/core/AccessWindowStatic.h"
@@ -30,6 +31,7 @@
 #include "arm_compute/core/GLES_COMPUTE/IGCTensor.h"
 #include "arm_compute/core/GLES_COMPUTE/OpenGLES.h"
 #include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Size2D.h"
 #include "arm_compute/core/Types.h"
 #include "arm_compute/core/Validate.h"
 #include "support/ToolchainSupport.h"
@@ -39,20 +41,40 @@
 
 using namespace arm_compute;
 
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
+
+    // Checks performed when output is configured
+    if(output->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
+    }
+
+    return Status{};
+}
+} // namespace
+
 GCIm2ColKernel::GCIm2ColKernel()
-    : _input(nullptr), _output(nullptr), _convolved_dims(), _num_elems_processed_per_iteration(1), _run_func(nullptr)
+    : _input(nullptr), _output(nullptr), _convolved_dims(), _kernel_dims(), _num_elems_processed_per_iteration(1), _run_func(nullptr)
 {
 }
 
-void GCIm2ColKernel::configure(const IGCTensor *input, IGCTensor *output, std::pair<unsigned int, unsigned int> kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
+void GCIm2ColKernel::configure(const IGCTensor *input, IGCTensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
 {
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
-    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
-    ARM_COMPUTE_UNUSED(kernel_dims);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+    // Perform validation step
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
 
     _input  = input;
     _output = output;
 
+    // Create kernel
     std::set<std::string> build_opts;
     std::string           dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
     build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(1));
@@ -65,48 +87,52 @@
         build_opts.emplace("#define HAS_BIAS");
     }
 
-    int pad_x    = 0;
-    int pad_y    = 0;
     int stride_x = 0;
     int stride_y = 0;
-    std::tie(pad_x, pad_y)       = conv_info.pad();
+
     std::tie(stride_x, stride_y) = conv_info.stride();
+    _kernel_dims = std::make_pair(kernel_dims.width, kernel_dims.height);
 
     const bool run_img2col_reduced = (output->info()->dimension(0) == (input->info()->dimension(0) * input->info()->dimension(1) * input->info()->dimension(2))) && (TensorShape::num_max_dimensions >= 4)
                                      && (std::equal(input->info()->tensor_shape().cbegin() + 3,
                                                     input->info()->tensor_shape().cend(),
                                                     output->info()->tensor_shape().cbegin() + 1))
-                                     && ((stride_x == 1) && (stride_y == 1) && (pad_x == 0) && (pad_y == 0));
+                                     && ((stride_x == 1) && (stride_y == 1) && !conv_info.has_padding());
 
+    std::string kernel_name = "im2col_generic";
     if(!run_img2col_reduced)
     {
-        // this path is currently not used and not validated
-        build_opts.insert("#define IM2COL_GENERIC");
-        _convolved_dims = scaled_dimensions(input->info()->dimension(0), input->info()->dimension(1),
-                                            kernel_dims.first, kernel_dims.second,
-                                            conv_info);
-        _num_elems_processed_per_iteration = output->info()->dimension(0);
+        if(input->info()->data_type() == DataType::F16 && _kernel_dims == std::pair<unsigned int, unsigned int>(1, 1))
+        {
+            build_opts.emplace("#define KERNEL_1x1");
+        }
 
-        build_opts.emplace("#define KERNEL_WIDTH " + support::cpp11::to_string(kernel_dims.first));
-        build_opts.emplace("#define KERNEL_HEIGHT " + support::cpp11::to_string(kernel_dims.second));
+        build_opts.emplace("#define IM2COL_GENERIC");
+        _convolved_dims = scaled_dimensions(input->info()->dimension(0), input->info()->dimension(1),
+                                            kernel_dims.width, kernel_dims.height,
+                                            conv_info);
+        _num_elems_processed_per_iteration = 2;
+
+        build_opts.emplace("#define KERNEL_WIDTH " + support::cpp11::to_string(kernel_dims.width));
+        build_opts.emplace("#define KERNEL_HEIGHT " + support::cpp11::to_string(kernel_dims.height));
         build_opts.emplace("#define KERNEL_DEPTH " + support::cpp11::to_string(input->info()->dimension(2)));
         build_opts.emplace("#define CONVOLVED_WIDTH " + support::cpp11::to_string(_convolved_dims.first));
         build_opts.emplace("#define CONVOLVED_HEIGHT " + support::cpp11::to_string(_convolved_dims.second));
         build_opts.emplace("#define STRIDE_X " + support::cpp11::to_string(conv_info.stride().first));
         build_opts.emplace("#define STRIDE_Y " + support::cpp11::to_string(conv_info.stride().second));
-        build_opts.emplace("#define PAD_X " + support::cpp11::to_string(conv_info.pad().first));
-        build_opts.emplace("#define PAD_Y " + support::cpp11::to_string(conv_info.pad().second));
+        build_opts.emplace("#define PAD_LEFT " + support::cpp11::to_string(conv_info.pad_left()));
+        build_opts.emplace("#define PAD_TOP " + support::cpp11::to_string(conv_info.pad_top()));
+        build_opts.emplace("#define PAD_RIGHT " + support::cpp11::to_string(conv_info.pad_right()));
+        build_opts.emplace("#define PAD_BOTTOM " + support::cpp11::to_string(conv_info.pad_bottom()));
         build_opts.emplace("#define SRC_WIDTH " + support::cpp11::to_string(input->info()->dimension(0)));
         build_opts.emplace("#define SRC_HEIGHT " + support::cpp11::to_string(input->info()->dimension(1)));
 
-        // Create kernel
-        _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("im2col_generic", build_opts));
-
         _run_func = &GCIm2ColKernel::run_generic;
     }
     else
     {
-        build_opts.insert("#define IM2COL_REDUCED");
+        build_opts.emplace("#define IM2COL_REDUCED");
+        kernel_name = "im2col_reduced";
 
         if(input->info()->data_type() == DataType::F32)
         {
@@ -117,42 +143,47 @@
             int input_width  = input->info()->dimension(0);
             int input_height = input->info()->dimension(1);
 
-            build_opts.insert("#define IMAGE_SIZE " + support::cpp11::to_string(input_width * input_height));
+            build_opts.emplace("#define IMAGE_SIZE " + support::cpp11::to_string(input_width * input_height));
             if(input_width % 8 == 0)
             {
                 _num_elems_processed_per_iteration = 8;
-                build_opts.insert("#define IM2COL_REDUCED_8X");
+                build_opts.emplace("#define IM2COL_REDUCED_8X");
             }
             else if(input_width % 4 == 0)
             {
                 _num_elems_processed_per_iteration = 4;
-                build_opts.insert("#define IM2COL_REDUCED_4X");
+                build_opts.emplace("#define IM2COL_REDUCED_4X");
             }
             else if(input_width % 2 == 0)
             {
                 _num_elems_processed_per_iteration = 2;
-                build_opts.insert("#define IM2COL_REDUCED_2X");
+                build_opts.emplace("#define IM2COL_REDUCED_2X");
             }
             else
             {
                 _num_elems_processed_per_iteration = 2;
-                build_opts.insert("#define IM2COL_REDUCED_GENERIC");
+                build_opts.emplace("#define IM2COL_REDUCED_GENERIC");
             }
         }
 
-        // Create kernel
-        _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("im2col_reduced", build_opts));
-
         _run_func = &GCIm2ColKernel::run_reduced;
     }
 
+    // Create kernel
+    _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel(kernel_name, build_opts));
+
     // Configure kernel window
     Window win = calculate_max_window(*input->info(), Steps(_num_elems_processed_per_iteration));
 
     if(input->info()->data_type() == DataType::F16)
     {
         // Calculate input right and bottom border
-        AccessWindowHorizontal input_access(input->info(), 0, _num_elems_processed_per_iteration);
+        const int input_width         = input->info()->dimension(0);
+        const int input_height        = input->info()->dimension(1);
+        int       input_total_width   = input->info()->padding().left + input_width + input->info()->padding().right;
+        int       input_padding_right = ceil_to_multiple(input_total_width, _num_elems_processed_per_iteration) - input_total_width;
+        input_total_width             = input_width + input_padding_right + input->info()->padding().right;
+        AccessWindowStatic input_access(input->info(), 0, 0, input_total_width, input_height);
 
         // Calculate output right and bottom border
         const int          output_width         = output->info()->dimension(0);
@@ -174,6 +205,15 @@
     IGCKernel::configure(win);
 }
 
+Status GCIm2ColKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias)
+{
+    ARM_COMPUTE_UNUSED(kernel_dims);
+    ARM_COMPUTE_UNUSED(conv_info);
+    ARM_COMPUTE_UNUSED(has_bias);
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
+    return Status{};
+}
+
 void GCIm2ColKernel::run(const Window &window)
 {
     ARM_COMPUTE_ERROR_ON(_run_func == nullptr);
@@ -187,6 +227,7 @@
 
     // Get initial windows
     Window window_collapsed = window.collapse_if_possible(IGCKernel::window(), Window::DimZ);
+
     // Change the Z dimension's step back to 1
     window_collapsed.set_dimension_step(Window::DimZ, 1);
 
@@ -198,17 +239,18 @@
     slice.set(Window::DimX, Window::Dimension(0, static_cast<int>(_convolved_dims.first), 1));
     slice.set(Window::DimY, Window::Dimension(0, static_cast<int>(_convolved_dims.second), 1));
 
-    // Setup input slice
-    // The first three dimensions of the input are increased by the inner loops
-    slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
-    slice_in.set(Window::DimY, Window::Dimension(0, 0, 0));
-    slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
-
     // Setup output slice
     slice_out.set(Window::DimX, Window::Dimension(0, _output->info()->dimension(0), _num_elems_processed_per_iteration));
     slice_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), 1));
     slice_out.set(Window::DimZ, Window::Dimension(0, 1, 1));
 
+    // we need top/left pad to be included in valid region
+    if(_input->info()->data_type() == DataType::F16)
+    {
+        (dynamic_cast<TensorInfo *>(_input->info()))->init(_input->info()->tensor_shape(), _input->info()->num_channels(), _input->info()->data_type(), _input->info()->strides_in_bytes(), 0,
+                                                           _input->info()->total_size(), _input->info()->fixed_point_position());
+    }
+
     _kernel.use();
 
     do
@@ -216,8 +258,6 @@
         unsigned int idx = 0;
         add_3D_tensor_argument(idx, _input, 1, slice_in);
         add_2D_tensor_argument(idx, _output, 2, slice_out);
-
-        _kernel.set_argument(idx++, static_cast<unsigned int>(_input->info()->dimension(2)));
         _kernel.set_argument(idx++, static_cast<unsigned int>(_input->info()->strides_in_bytes()[3]));
         _kernel.set_argument(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[3]));
         _kernel.update_shader_params();