[illumen]

Yeah. It depends on the hardware and problem. A 50x speed up with optimised routines(memory optimized, branch reduced, using SIMD etc) multiplied by 8 cores gives you a total of 400 times speed up. This is what I've seen in real life code I've made. Also, if you offload to some other processor (GPU or dedicated hardware) then of course you can get even faster (again depending on the hardware and problem).

So pypy speed ups aren't very good in comparison to the best you can achieve using other techniques... but you can mostly use the same tricks in pypy as you can in CPython to get those results there too :)