Have any examples from the past decade? Especially in the context of how exaggerated the claims are from PC and Android brands they are competing with?
In my experience, I can confirm that this is just not true. The secret is heavy reliance on swap. It's still the case that 1GB = 1GB.
Is an occasional statement that they get pushback on really worse than what other brands do?
As an example from a competitor, take a look at the recent firestorm over Intel’s outlandish anti-AMD marketing:
https://wccftech.com/intel-calls-out-amd-using-old-cores-in-...
FWIW: the language upthread was that it was laughable to say Apple was the most honest. And I stand by that.
Though the author also made clear in their second sentence that they think Apple is one of the worst when it comes to marketing claims, so I don’t think your characterization is totally accurate either.
If you go for the base model, you are in for a bad time, 256GB with heavy swap and no dedicated GPU memory (making the 8GB even worse) is just plain stupid.
This what the Apple fanboys don't seem to get, their base model at somewhat affordable price are deeply incompetent and if you start to load it up the pricing just do not make a lot of sense...
I got the base model M1 Air a couple of years back and whilst I don't do much gaming I do do C#, Python, Go, Rails, local Postgres, and more. I also have a (new last year) Lenovo 13th gen i7 with 16GB RAM running Windows 11 and the performance with the same load is night and day - the M1 walks all over it whilst easily lasting 10hrs+.
Note that I'm not a fanboy; I run both by choice. Also both iPhone and Android.
The Windows laptop often gets sluggish and hot. The M1 never slows down and stays cold. There's just no comparison (though the Air keyboard remains poor).
I don't much care about the technical details, and I know 8GB isn't a lot. I care about the experience and the underspecced Mac wins.
And I agree that in pure performance, the Apple Silicon Macs will kill it; however, I am really skeptical that an 8GB model would give you a better experience overall. Faster for long compute operations sure, but then you have to deal with all the small slowdown from constant swapping. Unless you stick to a very small amounts of apps and very small amounts of tabs at the same time (which is rather limiting) I don't know how you do it. I don't want to call you a liar but maybe you are emotionally attached (just like I am sometimes) to the device to realize it, or maybe the various advantages of the Mac make you ignore the serious limitations that come with it.
Everyone has their own sets of tradeoffs but my argument is that you can deal with the 8GB Apple Silicon devices you are very likely to be well served by a much cheaper device anyway (like half as cheap).
> you have to deal with all the small slowdown from constant swapping
That just doesn't happen. As I responded to another post, though, I don't do Docker or LLMs on the M1 otherwise you'd probably be right.
> Unless you stick to a very small amounts of apps and very small amounts of tabs at the same time
It's really common to have approaching 50+ tabs open at once. And using Word is often accompanied by VS Code, Excel, Affinity Designer, DotNet, Python, and others due to the nature of what I'm doing. No slowdown.
> maybe you are emotionally attached
I am emotionally attached to the device. Though as a long-time Mac, Windows, and Linux user I'm neither blinkered nor tribal - the attachment is driven by the experience and not the other way around.
> maybe the various advantages of the Mac make you ignore the serious limitations that come with it
There are indeed limitations. 8GB is too small. The fact that for what I do it has no impact doesn't mean I don't see that.
> you can deal with the 8GB Apple Silicon devices you are very likely to be well served by a much cheaper device anyway (like half as cheap)
I already have better Windows laptops than that, and I know that going for a Windows laptop that's half as cheap as the entry level Air would be nothing like as nice because the more expensive ones already aren't (the Lenovo was dearer than the Air).
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To conclude, you have to use the right tool for the job. If the nature of the task intrinsically needs lots of RAM then 8GB is not good enough. But when it is enough it runs rings around equivalent (and often 'better') Windows machines.
That said you're right about lots of RAM in that I wouldn't bother using the 8GB M1 Air for Docker or running LLMs (it can run SD for images though, but very slowly). Partly that's why I have the Lenovo. You need to pick the right machine for the job at hand.
Anyway, I manage a few M1 and M3 machines with 256/8 configs and they all run just as fast as 16 and 32 machines EXCEPT for workloads that need more than 8GB for a process (virtualization) or workloads that need lots of video memory (Lightroom can KILL an 8GB machine that isn't doing anything else...)
The 8GB is stupid discussion isn't "wrong" in the general case, but it is wrong for maybe 80% of users.
Isn't that exactly the upthread contention: Apple's magic compressed swap management is still swap management that replaces O(1) fast(-ish) DRAM access with thousands+ cycle page decompression operations. It may be faster than storage, but it's still extremely slow relative to a DRAM fetch. And once your working set gets beyond your available RAM you start thrashing just like VAXen did on 4BSD.
And if you go up in specs the bandwidth of Apple silicon has to be compared to the bandwidth of a combo with dedicated GPU. The bandwidth of dedicated GPUs is very high and usually higher than what Apple Silicon gives you if you consider the RAM bandwidth for the CPU.
It's a bit more complicated but that's marketing for you. When it comes to speed Apple RAM isn't faster than what can be found in high-end laptops (or desktops for that matter).
You are entirely (100%) wrong, but, sadly, NDA...
My experience is that I can still tell when the OS is unhappy when I demand more RAM than it can give. MacOS is still relatively responsive around this range, which I just attributed to super fast swapping. (I'd assume memory compression too, but I usually run into this trouble when working with large amounts of poorly-compressible data.)
In either case, I know it's frustrating when someone is confidently wrong but you can't properly correct them, so you have my apologies
If there's any publicly available data to the contrary I'd love to read it. Anecdotally I haven't seen a significant difference between zswap on Linux and macOS memory compression in terms of compression ratios, and on the workloads I've tested zswap tends to be faster than no memory compression on x86 for many core machines.