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diff --git a/examples/gc_dc.cpp b/examples/gc_dc.cpp
deleted file mode 100644
index ac235fd2a1..0000000000
--- a/examples/gc_dc.cpp
+++ /dev/null
@@ -1,132 +0,0 @@
-/*
- * Copyright (c) 2017-2019 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.
- */
-#ifndef ARM_COMPUTE_GC
-#error "This example needs to be built with -DARM_COMPUTE_GC"
-#endif /* ARM_COMPUTE_GC */
-
-#include "arm_compute/runtime/GLES_COMPUTE/GCFunctions.h"
-#include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h"
-#include "half/half.hpp"
-#include "utils/Utils.h"
-
-using namespace arm_compute;
-using namespace utils;
-
-class GCDCExample : public Example
-{
-public:
-    bool do_setup(int argc, char **argv) override
-    {
-        ARM_COMPUTE_UNUSED(argc);
-        ARM_COMPUTE_UNUSED(argv);
-
-        // init instance
-        GCScheduler::get().default_init();
-
-        const TensorShape  src_shape   = TensorShape{ 11U /* W */, 13U /* H */, 4U /* C */, 3U /* N */ };
-        const unsigned int kernel_size = 3;
-        const int          stride_x    = 1;
-        const int          stride_y    = 1;
-        const int          pad_x       = 0;
-        const int          pad_y       = 0;
-        const unsigned int num_kernels = 256;
-        const DataType     data_type   = DataType::F16;
-
-        // generate shape
-        const TensorShape   weights_shape(kernel_size, kernel_size, src_shape.z(), num_kernels);
-        const TensorShape   bias_shape(num_kernels);
-        const PadStrideInfo pad_info(stride_x, stride_y, pad_x, pad_y, DimensionRoundingType::FLOOR);
-
-        // output shape should be 9*11*256*3 (W*H*C*N)
-        const TensorShape dst_shape = get_output_shape(src_shape, weights_shape, pad_info);
-
-        // create tensors
-        src.allocator()->init(TensorInfo(src_shape, 1, data_type));
-        weights.allocator()->init(TensorInfo(weights_shape, 1, data_type));
-        bias.allocator()->init(TensorInfo(bias_shape, 1, data_type));
-        dst.allocator()->init(TensorInfo(dst_shape, 1, data_type));
-
-        // configure layer
-        conv.configure(&src, &weights, &bias, &dst, pad_info);
-
-        // allocate tensors
-        src.allocator()->allocate();
-        weights.allocator()->allocate();
-        bias.allocator()->allocate();
-        dst.allocator()->allocate();
-
-        // To demonstrate how to fill tensor with some values...
-        src.map();
-        Window window;
-        window.use_tensor_dimensions(src_shape);
-        Iterator it(&src, window);
-        execute_window_loop(window, [&](const Coordinates &)
-        {
-            *reinterpret_cast<half_float::half *>(it.ptr()) = half_float::half(1.f);
-        });
-        src.unmap();
-
-        return true;
-    }
-    void do_run() override
-    {
-        // run the layer
-        conv.run();
-    }
-    void do_teardown() override
-    {
-        // check result
-        dst.map();
-        // do something
-        dst.unmap();
-    }
-
-private:
-    GCTensor                 src{}, weights{}, bias{}, dst{};
-    GCDirectConvolutionLayer conv{};
-
-    TensorShape get_output_shape(TensorShape in_shape, TensorShape kernel_shape, const PadStrideInfo &info)
-    {
-        TensorShape out_shape(in_shape);
-        const std::pair<unsigned int, unsigned int> scaled_dims = scaled_dimensions(in_shape.x(),
-                                                                                    in_shape.y(),
-                                                                                    kernel_shape.x(),
-                                                                                    kernel_shape.y(),
-                                                                                    info);
-        out_shape.set(0, scaled_dims.first);
-        out_shape.set(1, scaled_dims.second);
-        out_shape.set(2, kernel_shape[3]);
-        return out_shape;
-    }
-};
-
-/** Main program for directconvolution test
- *
- * @param[in] argc Number of arguments
- * @param[in] argv Arguments
- */
-int main(int argc, char **argv)
-{
-    return utils::run_example<GCDCExample>(argc, argv);
-}