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"MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and ..."

Vijay Janapa Reddi et al. (2020)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-05-24

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2012-02328
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2012-02328
Vijay Janapa Reddi, David Kanter, Peter Mattson, Jared Duke, Thai Nguyen, Ramesh Chukka, Kenneth Shiring, Koan-Sin Tan, Mark Charlebois, William Chou, Mostafa El-Khamy, Jungwook Hong, Michael Buch, Cindy Trinh, Thomas Atta-fosu, Fatih Çakir, Masoud Charkhabi, Xiaodong Chen, Jimmy Chiang, Dave Dexter, Woncheol Heo, Guenther Schmuelling, Maryam Shabani, Dylan Zika:
MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It. CoRR abs/2012.02328 (2020)

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