6 ms·
M3 Max Geekbench
- runjake 3y agoLooks like it’s on par[1] with a top of line Core i9-13900KS but at a fraction of the wattage. I’d never buy one, but I’d love to see Apple do a Mac Pro build at a watt/heat equivalent Apple Silicon build. 1. https://browser.geekbench.com/processor-benchmarks https://browser.geekbench.com/processor-benchmarks
- duskwuff 3y agoAnd OpenCL ("GeekBench 6 Compute") scores comparable with an RTX 2070: https://browser.geekbench.com/opencl-benchmarks https://browser.geekbench.com/opencl-benchmarks
- ex3ndr 3y agoThat's not bad actually because bottleneck in training is in RAM and we can have 128gb...
- thangngoc89 3y agoI believe that Apple Silicone is still too slow for training. The big RAM is really useful for interference of big models though
- blovescoffee 3y agoIf you’re training a model that needs 128gb, the GPU speed is going to be a “bottleneck”
- skavi 3y agodoing a few sketchy conversions puts Metal compute performance closer in capability to an RTX 4070. M3 Max is ~170% M1 Max per some graphic Apple released. That puts it at ~95% the performance of a 6800 XT on the Metal charts. RTX 4070 is ~95% the performance of the 6800 XT on the Vulkan charts.
- Sparkyte 3y agoIntel hasn't even been on point for a while.
- tehnub 3y agoDoes this mean it's actually as fast in real-world scenarios? I'm not that familiar with Geekbench
- runeks 3y agoDirect comparison: https://browser.geekbench.com/v6/cpu/compare/3443230?baseline=3442661 https://browser.geekbench.com/v6/cpu/compare/3443230?baselin...
- duskwuff 3y agoYou can find other M3 models by searching for "mac15": https://browser.geekbench.com/search?q=mac15 https://browser.geekbench.com/search?q=mac15
- magnio 3y agoM3 performance so far on Geekbench: all M3 seems to have the same single-core score around 3000, which is 10% higher than M2 Max, same as i9-13900KS. In terms of multi-core - M3 (8-core): 11500, 10% higher than M2, in the middle of M2 and M2 Pro 10-core - M3 Max (16-core): 20600, 50% higher than M2 Max (12-core), same as i9-13900KS For comparison, the Snapdragon X Elite (at 23W) announced recently scores 2800 in single-core and 14000 in multi-core, same as the M2 Max. In terms of graphics (OpenCL): - M3: 30000, 10% higher than M2, same as AMD Radeon 780M (currently best iGPU in x86 land) - M3 Max: 94000, 10% higher than M2 Max, a bit above the RTX 2070.
- galad87 3y agoI wouldn't use the OpenCL score, OpenCL is a second class citizen that has been deprecated 5 or more years ago. It still works, but as you can see in Geekbench, Metal get a much higher score running the same workload.
- nine_k 3y agoCan you run Metal on an NVidia GPU? If not how to compare at all?
- skavi 3y agoI gave it a go: https://news.ycombinator.com/item?id=38111256 https://news.ycombinator.com/item?id=38111256
- duskwuff 3y ago> Metal get a much higher score running the same workload. Are you sure those scores are comparable?
- galad87 3y agoIf it's doing the same work on the GPU, yes.
- solarkraft 3y ago
- jeswin 3y agoSo a bit faster than 7950x in eco mode (which has a much lower tdp), and the 7950x process is two generations old. It's clear that Apple's advantage is mostly just one thing: "TSMC".
- darklycan51 3y agobasically it's just that they have access to the latest node before anyone else and not much more.
- threeseed 3y agoUnified memory is a huge advantage for the M series. Also for end users the dedicated hardware for specific use cases e.g. ProRes is a major differentiator.
- leptons 3y agoDon't forget, they also have the on-die RAM that cannot be upgraded and you can't get any more than what Apple offers, at exorbitant prices.
- sliken 3y agoTrue, but then again you get 400GB/sec of bandwidth and low power use that allows for 10-20 hours of usage in a tiny thin laptop. Sadly 7950x doesn't come close to fitting in laptops, runs hot (even in the non-x flavor) and has 1/4th the memory bandwidth. I'd happily trade dimm slots for a fraction of the power usage and 4x the memory bandwidth (or 8x if you get the studio).
- jeswin 3y ago> True, but then again you get 400GB/sec of bandwidth For what, other than toy AI inference? More HEDT users would go with more RAM at DDR5 speeds than 400GB/sec of bandwidth. As you can see from Geekbench, the additional bandwidth has no real world implications for non-GPU use cases. But again, just as with everything else it depends.
- ivanvanderbyl 3y agoRoughly 20% faster than the original M1 Max, which scored ~2400 on single core. As mentioned elsewhere it’s 10% faster than the M2 Max. This is really an impressive step up each year compared to what came before. If Apple continues this trend I’ll probably upgrade every 2 years.
- matsemann 3y agoHmm, I was of the opposite impression. Not much of an upgrade. The big change was going to Mx, mainly in battery time / power usage. But no big need to upgrade if you have M1, for instance.
- n8cpdx 3y agoAnyone have insight as to whether these will be useful for ML tasks - mostly on pre-trained models? I have bulk jobs that I like to do for things like transcription and I'd like to add summarization as well (Whisper + Llama basically). My GTX 1070 is fine for proof-of-concept, but I was planning to build a 4090 box for this stuff. Nvidia is notorious for nerfing the RTX cards for ML tasks on RAM specifically. Is there any universe in which it makes sense to put my 4090 box budget ($4000+ all in) towards an updated MacBook? I can get a laptop with 128Gb RAM for $4600 and the convenience of not having to run things remote and deal with another OS would be a big win.
- blovescoffee 3y agoIf you want to run ML tasks, a 4090 will smoke any laptop plain and simple. You get to decide about convenience of having a laptop. I wouldn’t want to deal with the inconvenience of a non-nvidia stack.
- threeseed 3y ago4090 has 32GB of available memory versus up to 128GB on the Mac. That allows for some training to be slow but at least possible. When you look at benchmarks the memory can make a difference especially for LLMs: https://www.reddit.com/r/LocalLLaMA/comments/16o4ka8/running_ggufs_on_an_m1_ultra_is_an_interesting/ https://www.reddit.com/r/LocalLLaMA/comments/16o4ka8/running...
- NorwegianDude 3y agoThats not true. RTX 4090s have 24GB.
- rubyn00bie 3y agoHuh? The 4090 has 24GB of RAM which is independent of the system RAM.
- langarus 3y agoHave you tried running remote via parsec (if you want the full desktop experience)? With proper internet connection you won't realize you are on a remote connection.
- alphanullmeric 3y agoSeems like the winning formula is to have some performance cores and some efficiency cores, but not too many and only 2 kinds. Meanwhile Qualcomm and Snapdragon mobile processors have 3-4 different kinds of cores and a third more of them in total. No wonder android phones with much larger batteries are getting so much worse battery life. And what’s funny is they end up being slower despite all that because their performance cores are forced to be clocked lower to make up for the higher power density, and most things on a phone won’t take advantage of those extra cores.
- Sparkyte 3y agohttps://browser.geekbench.com/search?utf8=%E2%9C%93&q=7945HX3D https://browser.geekbench.com/search?utf8=%E2%9C%93&q=7945HX... Hmm I'll stick with AMD for now.
- KingOfCoders 3y agoM3 Max 3151 / 20463 7950X3D 3173 / 22341 As a developer my Go builds take ~5 seconds. I invested in very fast NVMes and coming from ~5 minute Java builds this is great. Though what I want is <1sec builds. What I want is AMD/Intel moving to RISCV without the 50 years X86 baggage and the 30 years of ARM baggage. Give me cache on the dies instead of legacy transistors, give me faster NVMe directly to memory.
- alostpuppy 3y agoThe movie hackers promised this in 1996 and we are still waiting.
- m_eiman 3y agoThat was a RISC chip, as opposed to CISC, not RISC-V.
- sam_goody 3y agoOT: Yesterday, an Apple forum thread [1] complaining about the performance of the current M3 chips vs older generations got to the homepage of HN [2]. It was flagged and killed, I assume because it was somehow misleading. As some who doesn't understand these issues, could some of the knowledgeable fellows here ELI5 why that thread is junk, how current GPU's compare to those from Intel's day, and how important is the M3 GPU for LLM related to tasks. And maybe also - I see that the M3 is lower than M2 in.. "P-cores"? I don't understand what this means? What is the case where the M2 is better than the M3? [1]: https://developer.apple.com/forums/thread/693678 https://developer.apple.com/forums/thread/693678 [2]: id=38094895, not posting link as am not trying to revive it