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The M3 Pro being nerfed has been parroted on the Internet since the announcement. Practically it’s a great choice. It’s much more efficient than the M2 Pro at s
by mgrandl 3y ago
The M3 Pro being nerfed has been parroted on the Internet since the announcement. Practically it’s a great choice. It’s much more efficient than the M2 Pro at slightly better performance. That’s what I am looking for in a laptop. I don’t really have a usecase for the memory bandwidth…
- tomaskafka 3y agoEveryone has a different needs - for me, even M1 Pro has more battery life than I use or need, so further efficiency differences bring little value.
- dgdosen 3y agoI picked up an M3Pro/11/14/36GB/1TB to 'test' over the long holiday return period to see if I need an M3 Max. For my workflow (similar to blog post) - I don't! I'm very happy with this machine. Die shots show the CPU cores take up so little space compared to GPUs on both the Pro and Max... I wonder why.
- wlesieutre 3y agoI don’t really have a usecase for even more battery life, so I’d rather have it run faster
- orangecat 3y agoThe M3 Pro and Max get virtually identical results in battery tests, e.g. https://www.tomsguide.com/news/macbook-pro-m3-and-m3-max-battery-life-tested-heres-how-long-they-last https://www.tomsguide.com/news/macbook-pro-m3-and-m3-max-bat.... The Pro may be a perfectly fine machine, but Apple didn't remove cores to increase battery life; they did it to lower costs and upsell the Max.
- Ar-Curunir 3y agoIt might be the case that the yield on the chips is low, so they decided to use “defective” chips in the M3 Pro, and the non-defective in the M3 Max.
- dagmx 3y agoIn all M generations, the max and pro are effectively different layouts so can’t be put down to binning. Each generation did offer binned versions of the Pro and Max with fewer cores though.
- brandall10 3y agoThese aren't binned chips... the use of efficiency cores does reduce transistor count considerably which could improve yields. That said, while the transistor count of the M2 Pro -> M3 Pro did decrease, it went up quite a bit from the M2 -> M3. It seems most likely Apple is just looking to differentiate the tiers.
- Joeri 3y agoAI is the main use case for memory bandwidth that I know of. Local LLM’s are memory bandwidth limited when running inference, so once you fall into that trap you end up wanting the 400 gb/s max memory bandwidth of the m1/m2/m3 max, paired with lots and lots of RAM. Apple pairs memory size and bandwidth upgrades to core counts a lot more in m3 which makes the m3 line-up far more expensive than the m2 line-up to reach comparable LLM performance. Them touting AI as a use case for the m3 line-up in the keynote was decidedly odd, as this generation is a step back when it comes to price vs performance.