> "up to 1.8x faster when compared to the 16-inch MacBook Pro with M1 Pro" I insist my 2020 Macbook M1 was the best purchase I ever made
reading this for my late 2013 MBP. It is so old that I can't install the latest of Darktable on it.
M4 MacBook Pro
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Re: M4 MacBook Pro
#612The single core performance looks really fast. Chip | Geekbench Score (Process) ---- | ------------------------ M1 | 2,419 (5nm) M2 | 2,658 (5nm) M3 | 3,076 (3nm) M4* | 3,810 (3nm) In my experience, single-core CPU is the best all-around indicator of how "fast" a machine feels. I feel like Apple kind of buried this in their press release. M4 benchmark source: https://browser.geekbench.com/v6/cpu/8171874
It's not really buried... their headline stat is that it's 1.8x faster than the M1, which is actually a bigger improvement than the actual Geekbench score shows (it would be a score of 4354).
Re: M4 MacBook Pro
#613The single core performance looks really fast. Chip | Geekbench Score (Process) ---- | ------------------------ M1 | 2,419 (5nm) M2 | 2,658 (5nm) M3 | 3,076 (3nm) M4* | 3,810 (3nm) In my experience, single-core CPU is the best all-around indicator of how "fast" a machine feels. I feel like Apple kind of buried this in their press release. M4 benchmark source: https://browser.geekbench.com/v6/cpu/8171874
I don't know much about modern Geekbench scores, but it that chart seems to show that M1s are still pretty good? It appears that M4 is only about 50% faster. Somehow I would expect more like 100% improvement. Flameproof suit donned. Please correct me because I'm pretty ignorant about modern hardware. My main interest is playing lots of tracks live in Logic Pro.
Apple claim up to 1.8x in the press release. They're cherry picking so 50% in a benchmark seems about right.
Re: M4 MacBook Pro
#614What's the consensus regarding best MacBooks for AI/ML? I've heard it's easier to just use cloud options, but I sill like the idea of being able to run actual models and train them on my laptop. I have a M1 MacBook now and I'm considering trading in to upgrade. I've seen somewhat conflicting things regarding what you get for the money. For instance, some reports recommending a M2 Pro for the money IIRC.
To run LLMs locally (Ollama/LLM Notebook), you want as much memory as you can afford. For actually training toy models yourself for learning/experiments in my experience it doesn't matter much. PyTorch is flexible.
Re: M4 MacBook Pro
#615Earlier quoted context omitted.
It's totally fine. With a TB4 case with an NVME you can get something like 2300MB/s read speeds. You can also use a USB4 case which will give you over 3000MB/s (this is what I'm doing for storing video footage for Resolve). With a TB5 case you can go to like 6000MB/s. See this SSD by OWC: https://www.owc.com/solutions/envoy-ultra
I'm a little sus of owc these days, their drives are way expensive, never get any third-party reviews or testing, and their warranty is horrible (3 years). I've previously swore by them so it's a little disappointing
The only OWC product I own is a TB4 dock and so far it has been rock solid.
Re: M4 MacBook Pro
#616The weird thing about these Apple product videos in the last few years is that there are all these beautiful shots of Apple's campus with nobody there other than the presenter. It's a beautiful stage for these videos, but it's eerie and disconcerting, particularly given Apple's RTO approach.
I used to think the videos with all of the drone fly-bys was cool. But in the last year or so, I've started to feel the same as you. Where are all the people? It's starting to look like Apple spent a billion dollars building a technology ghost town.
Surely the entire staff can't be out rock climbing, surfing, eating at trendy Asian-inspired restaurants at twilight, and having catered children's birthday parties in immaculately manicured parks.
Re: M4 MacBook Pro
#617I really respect Apple's privacy focused engineering. They didn't roll out _any_ AI features until they were capable of running them locally, and before doing any cloud-based AI they designed and rolled out Private Cloud Compute. You can argue about whether it's actually bulletproof or not but the fact is, nobody else is even trying, and have lost sight of all privacy-focused features in their rush to ship anything a…
Privacy is the new obscenity. What does privacy even mean to you concretely? Answer the question with no additional drama, and I guarantee you either Apple doesn’t deliver what you are asking for, or you are using services from another company, like Google, in a way that the actions speak that you don’t really care about what you are asking for.
End to end encryption by default, such that the cloud provider cannot access my data.
Easy.
Re: M4 MacBook Pro
#618I really respect Apple's privacy focused engineering. They didn't roll out _any_ AI features until they were capable of running them locally, and before doing any cloud-based AI they designed and rolled out Private Cloud Compute. You can argue about whether it's actually bulletproof or not but the fact is, nobody else is even trying, and have lost sight of all privacy-focused features in their rush to ship anything a…
> Private Cloud Compute That's such a security theater. As long as nobody can look inside their ICs, nobody knows what's really happening there.
That could be said of any device you own, ever.
Re: M4 MacBook Pro
#619Earlier quoted context omitted.
I mean, the security features are pretty well documented. The FBI can't crack a modern iPhone even with Apple's help. A lot of the lockdowns are in service of that. I'm curious: what hardware and software stack do you use?
FBI and Apple „can't”, but 3rd party do and they do it cheaper every day.
Is there evidence of this. I’d be interested to know more.
Re: M4 MacBook Pro
#620Question to more senior Mac users: how do you usually decide when to upgrade?
I bought my first Macbook pro about a year and a half ago and it's still working great.