Inference Working Group

Mobile Working Group


Create a set of fair and representative inference benchmarks for mobile consumer devices such as smartphones, tablets, and notebooks that is representative of the end user experience.


The MLPerf™ Mobile working group aims to collaboratively develop a performance-accuracy benchmark suite for consumer mobile devices with different AI chips and software stacks. The MLPerf Mobile working group draws from the expertise of mobile SoC vendors, ML framework providers, and model producers, and extends the MLPerf inference group’s efforts to a mobile context. We welcome new members that hope to raise the bar of ML performance for mobile devices.


  1. Mobile benchmark rules and definitions
  2. Mobile benchmark reference software
  3. Mobile benchmark submission rules
  4. Mobile benchmark roadmap
  5. Mobile benchmark app for Android and iOS (future version)
  6. Publish mobile benchmark results every ~6 months

Meeting Schedule

Weekly on Wednesday from 3:05-3:45PM Pacific.

How to Join and Access Working Group Resources

This group is limited to exclusively Members and Affiliates. If you are not already a Member/Affiliate or part of a Member/Affiliate company, you can learn more about Membership here.

Working Group Chairs

To contact all Mobile working group chairs email

Koan-Sin Tan ( - GitHub - Twitter

Koan-Sin Tan is a Senior Technical Manager with MediaTek Inc. He has worked on performance engineering for the past decade. He enjoys hacking together small utilities and contributing to some big open-source projects from time to time. He has a PhD in Information Management from Chiao-Tung University, Taiwan.

Mostafa El-Khamy ( - LinkedIn - Google Scholar

Mostafa El-Khamy received a B.S. and M.S. in electrical engineering from Alexandria University, Egypt, a M.S. and Ph.D. in electrical engineering from the California Institute of Technology (Caltech), USA, and a M.B.A. from the Edinburgh Business School, U.K. He is currently a Senior Principal Engineer with Samsung Device Solutions Research America, CA, USA.