Started reading the review, first things to notice: oh my god, this thing is stupidly fast
edit: 11% faster than a desktop 5900X for floating point workloads. It is just incredible, i have no words.
Maybe i should regret my comments about the 12900hk being faster than this :D
We need AT analysis and SPEC benchmark to confirm the performance.
Don't know why nobody (or almost) but AT makes a serious analysis of performance with proper benchmarks.
Of course.
I hope M2 chips will bring the speedup we haven't seen with the M1 Pro.
The GPU however is very impressive, if only the software i use could exploit it, i would have bought a MBP like 8 seconds after the keynote :grin:
AT gives 65 watt for the past 11900-H under full load. I think it will be in that spot (you have 2 low-efficiency core less but 8 more high-efficiency cores).
In any case it will not be in any sense as efficient as the M1 Pro is.
Probably the system under full load will consume some 60 watt ca.
Anyway i think it is better to lose only on the efficiency side than badly losing on the efficiency side and the performance side. Something I'm curious is how alder lake will perform in a real working day, and see if low-power...
It seems like the M1 Pro CPU crown as the king of mobile CPUs lasted less than a week.
If i'm not wrong, anyway, these CPU will come out in Q1 2022.
However, the extraordinary efficiency of the M1 Pro would make me prefer it above anything in the market right now.
The only thing is that...
Only if we are talking about math matrix. I don't think that test uses any algorithm involving matrices or whatever. He says only "exporting 50 photos, etc." (no deep learning stuff, no filters...). Anyway, Adobe states that lightroom uses CUDA hardware acceleration for many years, and in this...
Ok, but previous photoshop version for MacOS couldn't use such a DSP or whatever, because intel processor didn't have that. If rosetta can automatically use GPU, it can't automatically switch between a DSP that didn't exist on Intel CPUs to the M1 DSP.
I don't know if any accelerator explains...
build2 compilation times:
Extrapolated means:
"Note that the results for the best mobile Intel (1185G) and AMD (4900HS) are unfortunately not yet available and the numbers above are extrapolated based on frequency and other benchmark results."
Source
In fact embarassingly parallel tasks nowadays should be accelerated by huge multicore "processors" like GPU-somethingPU. But single thread or mainly single thread tasks continues to exist so it is also important high-performance CPU cores.
I don't know if that is a problem and the technical reasons behind that resolution. I mean, i don't know if there is a specific reason or whatever, this goes beyond my knowledge.
I only know that SPEC is widely used by some organization/industries as a "general" benchmark. A few days ago i was...
Yep, this should be taken into account. For what i can see from the 4900HS CB23 test, all cores run at 3.8-3.9 GHz for a while consuming 54 watt, but then slow down to 35 watt at 3.3 GHz.
Maybe the massive L2 cache helps when some tests are performed, like libquantum that seems to like cache. I think also that massive arithmetic units helps in others. AFAIK blender really like multi-threading, but M1 > 4800U even there.
Strange.
I think large decoder + massive L2 cache + crazy...
But how is it possible in your opinion that M1 performs so well in multi-core/multi-thread tasks against 8c/16t CPUS, looking at SPEC2017 tests (even those that do not rely much on cache)?
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