Earlier quoted context omitted.
> 3x faster than most i7 computers with GPU Can you back that statement up with anything, or at least clarify it? You seem to suggesting a non-mac i7 with a separate GPU. Also, just an FYI, "i7" says pretty much nothing. The i7s have existed since 2009. I don't know. The statement is just so vague and ridiculous. The M1 is probably the worst hardware you could have picked in 2020-2021 if computational power was your…
I meant to write most i7 machines with a GPU where I trained my models . My post was about the lack of adequate SDKs for the NE on the M1. I don't know why the fuck you grabbed that tiny fraction and just ran off with it like I was writing an appleboy marketing manifesto on the M1 prowess.
If you haven't already, I'd suggest looking at https://news.ycombinator.com/newsguidelines.html. And I mean that too in a polite way, as it is easy to get carried away and assume the worst in anonymous conversations with strangers.
So, to summarize. Apple originally made highly misleading statements on the computational power of the M1, and since then, this misconception is repeated quite often. After a while, it gets annoying to see new posts on HN, week after week. Now, alluding that an M1 is 3x faster at training models than discrete GPUs can only be true if it is a decade old hardware. And as that stands, your original comment was asked to be clarified. After all, it's not unheard of for M1 benchmarks to disable the discrete GPU of the PC it is compared to, for "fairness". Limiting the training to a single CPU core for "even more fairness" would be par for the course.
So, I did not suggest you were an "appleboy", as you put it. I asked what kind of hardware you actually experienced a 3x speedup on, as the i7 goes back to 2009, and "GPU", well, further back.
In any case, and this might come as a surprise, feel free to not answer. But, then, I can only wish that you refrain from making the effort at a rude response.