The SoC methodology is now a very common methodology. The CPU portion of the chip is very similar to every other CPU I ever designed. Geekbench 5 scores are calibrated against a baseline score of 1000 (which is the score of an Intel Core i3-8100). This was the 2018 Mac Mini, which cost 800, and a multi-core GeekBench 5 score of 3203.I was annoyed by that price/performance ratio. I know, because I left AMD right around when that started happening. I figured I’d buy the cheapest Mac Apple offered.AMD transitioned to that design methodology with Bulldozer. (I know, because I owned the integer execution unit for the first of those designs)ĭedicated units: most chips are now designed as SoC with on-chip encryption units, etc. It’s, in fact, identical to that used in, say Athlon-64 and Opteron. ”width”: what width are you referring to? There is nothing unusual about the execution width. There are a number of LPDDR4X channels with off-chip drivers, so you can even see how the die connects to off-die RAM.
#Apple mac geekbench scores pro#
This is easy to see from the actual die photographs that have appeared on Ars (I addressed this claim in another thread and posted the picture). The Mac Studio delivered worse framerates in Civ 6 than the 16-inch MacBook Pro 2021 (M1 Max w/ 10-core CPU, 32-core GPU, 64GB RAM) we tested last year despite it having half the RAM and an older. On die memory: there is no on die memory. The advantage even held true for x86 apps running on the Surface Pro X and Macbook.
#Apple mac geekbench scores for windows 10#
Lastly, for Windows 10 on ARM running on the Microsoft SQ2 processor, the single-core score of 799 and multi-core of 3089. I know, because I was the original designer of the reorder unit on that chip. For Windows 10 on ARM running in a virtual machine on the Apple M1 processor, the single-core score of 1288 and multi-core of 5449. Massive reorder buffer: UltraSparc V had that. But feel free to inform me of chips that have this style of architecture if you know of any, I’m happy to see hard facts. Per the Geekbench 5 comparison, the M2 chip is 11.6 faster than the M1 in single-core scoring and 19.5 faster in multi-core. There are large deviations in this chip from the normal train of thought and standard processor design. Apple itself says that the M2 chip's CPU is 18 faster than the M1.
How about the width compared to other silicon (and yes, I’m aware x86 struggles on width due to its instruction set baggage), the massive reorder buffer, the large number of dedicated units for processing or accelerating single tasks in parallel with the cpu, the on die memory? There are other deviations too, but then again you can easily educate yourself on that if you so wish without me spouting off about it.