Benchmarking GPU-Accelerated Edge Devices

Jongmin Jo, Sucheol Jeong, Pilsung Kang · 2020

We evaluate one of the state-of-the-art GPU-accelerated edge devices in this paper. We perform a set of deep learning benchmarks on the device to measure its performance. By comparing its performance with other GPU-accelerated systems in different computing platforms, we assess the computational capability of the modern edge devices equipped with a significant amount of hardware parallelism.

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