yeldarby

About

Username
yeldarby
Joined
Visits
0
Last Active
Roles
member
Points
58
Badges
0
Posts
3

Reactions

3Like11Informative

  • Apple Silicon 13-inch MacBook Pro nearly as fast at machine learning training as 16-inch M...

    yeldarbyyeldarby
    tipoo said:
    >149 minutes 
    >70 minutes

    2.2x slower doesn't sound "nearly as fast" as the 16. The low GPU utilization is because ML tasks are automatically dispatched to the neural engine instead. 
    Hi, I'm one of the ones that helped with this benchmark. That's almost certainly not the case; if it was, you would expect the CPU to also be largely idle as it is with GPU-constrained training but it was pegged between 150%-250% on the M1 for the duration of training. Leads me to strongly believe there is more optimization yet to be done to adapt the CPU part of the pipeline for the new architecture and that this will get much better over time.
    Xedmuthuk_vanalingamyuniversesteven n.GG1jdb8167rundhvidwatto_cobra

  • Apple Silicon 13-inch MacBook Pro nearly as fast at machine learning training as 16-inch M...

    yeldarbyyeldarby
    alphafox said:
    So the M1 used its neural accelerator but the i5 was running in software on the CPU only? How are these results compatible at all?
    As far as I'm aware the neural engine was not being used. This is comparing the current M1 13" MacBook Pro vs the previous generation Intel 13" MacBook Pro. Both have integrated graphics processors.
    GG1jdb8167watto_cobra