Hacker News Board Hacker News, browsed like a classic message board
Live data from Hacker News

Apple M1 Max Geekbench Score

browser.geekbench.com

Post reply on HN
Print view View original

411–420 of 917 posts

Re: Apple M1 Max Geekbench Score

#411

Post by zsmi »

wmf wrote: post #134
concinds wrote: post #72

Earlier quoted context omitted.

I wish there were laptop-specific Geekbench rankings because right now it seems impossible to easily compare devices in the same class

The M1 Pro/Max are effectively H-class chips so you can search for 11800H, 11950H, 5800H, 5900HX, etc.

Your comment got me wondering if there was actually a method to Intel's naming madness, and it turns out there is!

https://www.intel.com/content/www/us/en/processors/processor...

11800H = Core i7-11800H -> family=i7 generation=11 sku=800 H=optimized for mobile

11950H = Core i9-11950H -> family=i9 generation=11 sku=950 H=optimized for mobile

I didn't look up the AMD names.

So, now that I know the names, why not use Core i9-11980HK?

family=i7 generation=11 sku=800 HK=high performance optimized for mobile

It seems like it exists https://www.techspot.com/review/2289-intel-core-i9-11980hk/

P.S. General rant: WTF Intel. I'm really glad there is a decoder ring but does it really have to be that hard? Is there really a need for 14 suffixes? For example, option T, power-optimized lifestyle. Is it really different from option U, mobile power efficient?

Re: Apple M1 Max Geekbench Score

#412

Post by rvanmil »

pbowyer wrote: post #204
rvanmil wrote: post #125

Earlier quoted context omitted.

I’m upgrading from an M1 Air (16GB) to a 14” Pro base model just for the display. Extra M1 pro performance is bonus but the M1 has already been amazing for development work past year.

Is it the resolution you've found limiting on the M1 Air? My eyesight is slowly getting worse so I'm assuming I'll have to run both at 200%. Which makes the Air a 1280x800 screen - something I last had on my 2009 13" MBP!

I’m lucky enough to still have good eyesight so it’s not limiting for me personally. Most of the time when working I’ve got it hooked up to a big 4K display though. My expectation is I’ll appreciate the new XDR display for the times I’m not on an external monitor.

Re: Apple M1 Max Geekbench Score

#413

Post by johnboiles »

runako wrote: post #330
johnboiles wrote: post #198

Earlier quoted context omitted.

I am one of those people. I bought an 8gb M1 Air last month for a project (while I waited for the new models to be released). It baffles me how well this little computer performs with less RAM than I've had in a computer since 2009. I'd love an explanation of how that works. Maybe the SSD is so fast that swapping isn't a big deal?

I looked into this angle recently. The SSDs in the new MBPs are roughly 3x as fast as the one in my 2015 MBP (7.4GB/s vs 2GB/s). To contextualize, the new MBPs have roughly half as much SSD bandwidth as my MBP does memory bandwidth. Which is to say the SSD is much closer to being as fast as RAM, which would explain why is subjectively can make better use of less memory.

Neat!

Re: Apple M1 Max Geekbench Score

#414

Post by e40 »

PragmaticPulp wrote: post #245
blakesterz wrote: post #100

I just can't figure out what I'm missing on the "M1 is so fast" side of things. For years I worked* on an Ubuntu desktop machine I built myself. Early this year I switched to a brand new M1 mini and this this is slower and less reliable than the thing I built myself that runs Ubuntu. My Ubuntu machine had a few little issues every no and then. My Mini has weird bugs all the time. e.g. Green Screen Crashes when I have…

> I just can't figure out what I'm missing on the "M1 is so fast" side of things. Two reasons: 1. M1 is a super fast laptop chip. It provides mid-range desktop performance in a laptop form factor with mostly fanless operation. No matter how you look at it, that's impressive. 2. Apple really dragged their feet on updating the old Intel Macs before the transition. People in the Mac world (excluding hackintosh) were stu…

Really curious to see what chips will go into the Mac Pro line next year (year after?). Will they be faster than the AMD desktop/workstation chips when they come out?

Re: Apple M1 Max Geekbench Score

#416

Post by r00fus »

muro wrote: post #352
keymone wrote: post #297

Earlier quoted context omitted.

> * NVIDIA GeForce RTX 3090 vs M1 Max - OpenCL https://browser.geekbench.com/v5/compute/compare/3551790?bas ... [29.0%] 30% performance for ~15% of power use in laptop form factor? that's not boo, that seems like a clear win for apple.

Performance doesn't go down linearly with power. I don't have that card to try, but maybe it would do even better at 15% of power.

There is a floor below which it will go straight to 0 (ie, nonfunctional).

The M1 Max is well below that floor at max wattage.

Re: Apple M1 Max Geekbench Score

#417

Post by robertwt7 »

Is that supposed to be fast guys?

Isn't that still slower than some ryzen 5 5600x? (my pc uses this but below is not my benchmark)

https://browser.geekbench.com/v5/cpu/8238216

I'm not sure how fast or good is that number.. But i've heard good things about m1 and planning to probably upgrade.

edit: Not sure what's with the downvotes, i'm genuinely curious. I'm in the apple ecosystem with many apple products, windows pc, basically a tech enthusiast without any hate towards 1 brand. geez

Re: Apple M1 Max Geekbench Score

#418

Post by jjcon »

derefr wrote: post #410
jjcon wrote: post #284

Earlier quoted context omitted.

> GPU capabilities that blow everything away Compared to previous macs and igpus - an nvidia gpu will still run circles arounnd this thing

> an nvidia gpu will still run circles arounnd this thing Not for loading up models larger than 32GB it wouldn't. (They exist! That's what the "full-detail model of the starship Enterprise" thing in the keynote was about.) Remember that on any computer without unified memory, you can only load a scene the size of the GPU's VRAM. No matter how much main memory you have to swap against, no matter how many GPUs you thro…

Memory != Speed

You could throw a TB of memory in something and it won't get any faster or be of any use for 99.99% of use cases.

Large ML architectures don't need more memory, they need distributed processing. Ignoring memory requirements, GPT-3 would take hundreds of years to train on a single high end GPU (on say a desktop 3090 which is >10x faster than m1) which is why they aren't trained that way (and why NVidia has the offerings set up the way they do).

>That's getting close to "doing the training for GPT-3 — a 350GB model before optimization — on a single computer" territory.

Not even close... not by a mile. That isn't how it works. The unified memory is cool but its utility is massively bottlenecked by the single cpu/gpu it is attached to.

Re: Apple M1 Max Geekbench Score

#419

Post by mciancia »

robertwt7 wrote: post #417

Is that supposed to be fast guys? Isn't that still slower than some ryzen 5 5600x? (my pc uses this but below is not my benchmark) https://browser.geekbench.com/v5/cpu/8238216 I'm not sure how fast or good is that number.. But i've heard good things about m1 and planning to probably upgrade. edit: Not sure what's with the downvotes, i'm genuinely curious. I'm in the apple ecosystem with many apple products, windows p…

> Base Frequency 4.72 GHz

> Maximum Frequency 6.03 GHz

This was seriously overclocked, wouldn't be surprised if with liquid nitrogen. So probably poor comparison to laptop CPU ;)

Re: Apple M1 Max Geekbench Score

#420

Post by johnboiles »

eecc wrote: post #393
camillomiller wrote: post #272

Earlier quoted context omitted.

You need to consider the larger target group of professionals. It's really GPU capabilities that blow everything away. If you don't plan to use your MacBook Pro for video/photo editing or 3D modeling, then a M1 Pro with the same 10-core CPU and 16-core Neural Engine has all you need and costs less. Unless I'm missing something I don't think there much added benefit from the added GPU cores in your scenario, unless yo…

Well, the MAX has double the memory bandwidth of a PRO, but I cannot see workloads other than the ones you mentioned where it would make a significant improvement. Perhaps ML but that’s all proprietarized on CUDA so it’s unlikely. Perhaps Apple could revive OpenCL from the ashes?

https://developer.apple.com/metal/tensorflow-plugin/
Post reply on HN