# GPU delegate

Source: [https://docs.qualcomm.com/doc/80-70014-54/topic/gpu-delegate.html](https://docs.qualcomm.com/doc/80-70014-54/topic/gpu-delegate.html)

The GPU open-source delegate provides acceleration on various vendor-specific GPUs,
        including the Adreno GPU.

TensorFlow Lite can use the GPU delegate to improve the parallel-processing power of
            GPUs, which makes inferencing faster. The GPU delegate uses OpenCL kernels to run neural
            network ops within a TensorFlow Lite model execution graph on the GPU.

The GPU delegate is cross-compiled by default along with the TensorFlow Lite library and
            is optimized to run the following TensorFlow Lite models on the Adreno GPU:

- 16‑bit floating-point
- 32‑bit floating-point

For more information, see [GPU delegates for TensorFlow Lite](https://www.tensorflow.org/lite/performance/gpu).

**Parent Topic:** [Delegates](https://docs.qualcomm.com/doc/80-70014-54/topic/delegates.html)

Last Published: Jul 12, 2024

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