  The performance of mobile AI accelerators has been evolving rapidly in the
past two years, nearly doubling with each new generation of SoCs. The current
4th generation of mobile NPUs is already approaching the results of
CUDA-compatible Nvidia graphics cards presented not long ago, which together
with the increased capabilities of mobile deep learning frameworks makes it
possible to run complex and deep AI models on mobile devices. In this paper, we
evaluate the performance and compare the results of all chipsets from Qualcomm,
HiSilicon, Samsung, MediaTek and Unisoc that are providing hardware
acceleration for AI inference. We also discuss the recent changes in the
Android ML pipeline and provide an overview of the deployment of deep learning
models on mobile devices. All numerical results provided in this paper can be
found and are regularly updated on the official project website:
http://ai-benchmark.com.
