Yes, I did. VGF2P8AFFINEQB has 0.5 rtp and latency of ~7. Enabling AVX512 doesn't throttle in itself; if you limit yourself to <512-bit wide instructions there is no throttling, and even if you don't it only throttles on a subset of them.dangi12012 wrote: ↑Thu Mar 10, 2022 2:01 amPls dont ever quote me ever again. You half knowledge is just too annoying.
Have you looked at the throughput and latency? Not to mention that AVX512 is DOA and Intel is suspected to drop it soon... Enabling AVX512 often makes every other process on the system run slower.
If you are using this in production code - measure what you did to everyone around you.
If anyone reads this: Sopel is a confirmed forum troll who is just very annoying to every thread he writes to.
Back to topic:
M1 looks interesting - will wait for INDEPENDENT reviews.
Apple M1 Ultra - is this enough for chess?
Moderator: Ras
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Sopel
- Posts: 391
- Joined: Tue Oct 08, 2019 11:39 pm
- Full name: Tomasz Sobczyk
Re: Apple M1 Ultra - is this enough for chess?
dangi12012 wrote:No one wants to touch anything you have posted. That proves you now have negative reputations since everyone knows already you are a forum troll.
Maybe you copied your stockfish commits from someone else too?
I will look into that.
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WuShock
- Posts: 182
- Joined: Thu Jul 19, 2007 3:13 am
Re: Apple M1 Ultra - is this enough for chess?
Does the Neural Engine do anything for chess ?
The 32-core Neural Engine in M1 Ultra runs up to 22 trillion operations per second, speeding through the most challenging machine learning tasks.
https://www.apple.com/newsroom/2022/03/ ... -computer/
The 32-core Neural Engine in M1 Ultra runs up to 22 trillion operations per second, speeding through the most challenging machine learning tasks.
https://www.apple.com/newsroom/2022/03/ ... -computer/
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Sopel
- Posts: 391
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- Full name: Tomasz Sobczyk
Re: Apple M1 Ultra - is this enough for chess?
There's no way to use it aside from a very limited high-level library specific for apple (Core ML) so it's useless for NNUE. Lc0 could maybe use it because it uses a more typical NN but it's not clear if even that would be possible.WuShock wrote: ↑Thu Mar 10, 2022 4:03 pm Does the Neural Engine do anything for chess ?
The 32-core Neural Engine in M1 Ultra runs up to 22 trillion operations per second, speeding through the most challenging machine learning tasks.
https://www.apple.com/newsroom/2022/03/ ... -computer/
dangi12012 wrote:No one wants to touch anything you have posted. That proves you now have negative reputations since everyone knows already you are a forum troll.
Maybe you copied your stockfish commits from someone else too?
I will look into that.
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Magnum
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- Full name: Arnold Magnum
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Magnum
- Posts: 195
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- Full name: Arnold Magnum
Re: Apple M1 Ultra - is this enough for chess?
M2 chips will be release in the second half of 2022.Sopel wrote: ↑Wed Mar 09, 2022 4:08 pm For stockfish 14.1 pure nnue we should expect about 30MNps, extrapolating from https://forums.macrumors.com/threads/st ... 0.2326552/ and https://browser.geekbench.com/v5/cpu/co ... e=13330272. Comparing to http://ipmanchess.yolasite.com/amd--int ... ckfish.php it should place around AMD Ryzen 9 3900X/ Intel Core i5 12600K. Respectable, but nothing special.
M2 Ultra will have +4 performance cores:
16 + 4 = 20 performance cores
+4 high efficiency cores = 24 CPU cores.
On top of that the M2 Ultra cores will be 20% faster.
For Stockfish 14.1 pure nnue we should expect 44MNps.
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Werewolf
- Posts: 2061
- Joined: Thu Sep 18, 2008 10:24 pm
Re: Apple M1 Ultra - is this enough for chess?
About half a Threadripper thenMagnum wrote: ↑Sat Mar 12, 2022 9:47 amM2 chips will be release in the second half of 2022.Sopel wrote: ↑Wed Mar 09, 2022 4:08 pm For stockfish 14.1 pure nnue we should expect about 30MNps, extrapolating from https://forums.macrumors.com/threads/st ... 0.2326552/ and https://browser.geekbench.com/v5/cpu/co ... e=13330272. Comparing to http://ipmanchess.yolasite.com/amd--int ... ckfish.php it should place around AMD Ryzen 9 3900X/ Intel Core i5 12600K. Respectable, but nothing special.
M2 Ultra will have +4 performance cores:
16 + 4 = 20 performance cores
+4 high efficiency cores = 24 CPU cores.
On top of that the M2 Ultra cores will be 20% faster.
For Stockfish 14.1 pure nnue we should expect 44MNps.
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Sopel
- Posts: 391
- Joined: Tue Oct 08, 2019 11:39 pm
- Full name: Tomasz Sobczyk
Re: Apple M1 Ultra - is this enough for chess?
That's a lot of numbers to add up without any source. Either way, it's not like AMD/Intel is sleepingMagnum wrote: ↑Sat Mar 12, 2022 9:47 amM2 chips will be release in the second half of 2022.Sopel wrote: ↑Wed Mar 09, 2022 4:08 pm For stockfish 14.1 pure nnue we should expect about 30MNps, extrapolating from https://forums.macrumors.com/threads/st ... 0.2326552/ and https://browser.geekbench.com/v5/cpu/co ... e=13330272. Comparing to http://ipmanchess.yolasite.com/amd--int ... ckfish.php it should place around AMD Ryzen 9 3900X/ Intel Core i5 12600K. Respectable, but nothing special.
M2 Ultra will have +4 performance cores:
16 + 4 = 20 performance cores
+4 high efficiency cores = 24 CPU cores.
On top of that the M2 Ultra cores will be 20% faster.
For Stockfish 14.1 pure nnue we should expect 44MNps.
dangi12012 wrote:No one wants to touch anything you have posted. That proves you now have negative reputations since everyone knows already you are a forum troll.
Maybe you copied your stockfish commits from someone else too?
I will look into that.
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Ras
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- Full name: Rasmus Althoff
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Modern Times
- Posts: 3789
- Joined: Thu Jun 07, 2012 11:02 pm
Re: Apple M1 Ultra - is this enough for chess?
Is it "enough" for chess, the answer has to be yes unless you have some sort of extreme requirements. Whether or not you want to pay the Apple premium, be tied into the Apple eco-system, and use Apple's OS is another question altogether.
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mar
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- Location: Czech Republic
- Full name: Martin Sedlak
Re: Apple M1 Ultra - is this enough for chess?
the efficiency cores on M1 run at least 2x slower than performance cores (depending on what you do), I imagine this could add a ton of noise when playing multiple games in parallel.