[mumblemumble]

I haven't done a comparison in a long time, and, even then, it wasn't very thorough, so take this with a grain of salt.

But, 6 years ago, when I was in grad school, just swapping to the Intel build of numpy was an instant ~10x speedup in the machine learning pipeline I was working on at the time.

No idea if that's typical or specific to what I was doing at the time. I don't use MKL anymore because ops doesn't want to deal with it and the standard packages are already plenty good enough for what I'm doing nowadays. If you forced me to guess, I guess I'd have to guess that my experience was atypical.