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It is so "telling" when the single-core performance isn't listed. As others have said, many of us are not in the Media-Biz and don't care about "graphics"; we want "crank power".

By not listing the M5 single-core stats, it raises the question of whether it is actually lower than the M4.

Maybe someday an AI "pre-compiler" will look at the code and automatically compile it to utilize multi-cores. For now, the code I write, loops and calculations, wants the fastest single-core it can get.
 
This article reads like it was AI generated and not fact checked. In particular "Support for up to 2TB storage" ... this is an Apple configuration max for the assembled M4 Macbook Pro (non-Pro M4) and not a M4 chip limitation.
 
This article reads like it was AI generated and not fact checked. In particular "Support for up to 2TB storage" ... this is an Apple configuration max for the assembled M4 Macbook Pro (non-Pro M4) and not a M4 chip limitation.
It seems to be what the M4 Mac Mini tops out at as well. I haven't seen any third party's being able to offer more than that. Only the M4 Pro chip and above seems to offer storage above 2TB. If there is an M5 Mini, the option of 4TB internal storage might prove more interesting than incremental improvements in processor performance for those who don't need the extra grunt (and cost) of an AS Pro chip.
 
So the MacBook Pro only has a base chip now? Will the Air also have this base M5 chip? Is it the same chip inside the iPad Pro?

Why do they keep screwing with the naming? Pro should have the Pro chip like it's been for M1-M4, what's wrong with these people.
The M5 Pro and Max versions are coming later. It was just the base model MacBook Pro that was updated. The M4 Pro and M4 Max versions are still on sale and will be updated to the M5 equivalents likely after the New Year with the Air following sometime in the spring.
 
While AI and LLMs get all the headlines these days, the underlying neural acceleration hardware boosts a host of other tasks that utilize machine learning routines. Things like the blurred backgrounds in FaceTime calls or copying text out of a photo in the Photos app all use ML and the neural hardware. Third party developers have access to this hardware so even if something isn't billed as AI (although everything today seems to be billed as AI for marketing purposes) it can still get a boost from the hardware improvements.
This is such an important point. Apple's software does a ton of background machine learning that most people have no idea is happening. This has been true for years. Apple first included a "Neural Engine" in the A11 back in 2017 (iPhone 8 and X). That was to handle various "AI" tasks. Apple's machine learning efforts started well before then, but that was the first step with dedicated hardware.
 
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