I'm curious what a multi thread(multi process for python due to GIL?) comparison would be. Obviously people aren't doing this by default though, so the author's point still stands.
This is not true. I thought the same thing and you are right in regards to base line clock speed. But the performance is still increasing. I just got a new PC at work with a 2021 high-end CPU and it has 200% single core performance of the 2015 mid-range CPU in my private PC:
https://www.cpubenchmark.net/compare/4597vs2599/Intel-i9-129...
Other things changed. The turbo clockspeed is one of them.
Also, the comment you're quoting is talking about clock speed, and the link you provided literally shows the same base clock speed - 3.2 GHz. Intel progressively pushed turbo speed higher, but that the speed you could have achieved yourself by overclocking.
On my water cooled and specifically tweaked desktop- yes. It’ll hold max boost indefinitely, even with all threads. (getting to about 80c after 10 mins). Single-thread max is faster, and it’ll hold that as well.
My laptop will pull power within 15 seconds and be down to base clocks in a couple mins. Unless I set it down outside and it’s very cold.
Technically we have gone from 3.3gz- 3.9gz base frequency, 4.1-4.2 single core boosts, 4.7ghz heavy OC in Haswell to
4.3 and 3.0 base clock for efficiency/perf cores, with boosts to 5.4 ish, stable 5.8ghz all core frequency with heavy OC, and even pushing 6.something GHz single core with a good setup.
But then again, this is on the more extreme ends. Mainstream laptops have remained relatively stable.
re Python MP:
On my 12700k, I saw almost linear scaling (per core, not thread) with multiprocessing when loading stuff from the disk for ML applications and processing. This was with the datasets library.