>I mean that's kind of expected if you compare a low-power CPU with fewer cores against an unlimited-cooling desktop monster with much more cores.
Are we looking at the same charts here? For cinebench multithreaded, the AMD 4xxx series CPUs are zen 2 parts with 15/35W TDP, hardly "unlimited-cooling desktop monster" like you described.
From the article: "While AMD’s Zen3 still holds the leads in several workloads, we need to remind ourselves that this comes at a great cost in power consumption in the +49W range while the Apple M1 here is using 7-8W total device active power."
Looking through the benchmarks, the zen 2 parts generally seem to have lower performance than the M1. The cinebench multithreaded benchmark is one exception. It's not that surprising because the 4800U has more cores than the M1 has high performance cores. The M1 wins the single threaded cinebench benchmark.
The Zen2 4800HS also outperformed the M1 in the Specint2017 multi-threaded results, too.
The M1's float results are weirdly good relative to the int results, though. Not sure why Apple seems to have prioritized that so much in this category of CPU.
Taking a loop and adding a bunch of `x|0` can also often boost performance by hinting that integers are fine (in fact, the JIT is free to do this anyway if detects that it can).
The most recent spec is also adding BigInt. Additionally, integer typed arrays have existed since the 1.0 release in 2011 (I believe they were even seeing work as early as 2006 or so with canvas3D).
It's a higher TDP part (I think - it's 35W) and has more high performance cores, so it's not surprising that it would win some of the multicore benchmarks.
Are we looking at the same charts here? For cinebench multithreaded, the AMD 4xxx series CPUs are zen 2 parts with 15/35W TDP, hardly "unlimited-cooling desktop monster" like you described.