241–250 of 467 posts
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More efficient than Intel i-series or more efficient than M1?
more efficient per dollar against their intel counterparts.
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All these gains will be entirely swallowed by software in a few years.
Electron apps or worse.
Considering that Apple won't sell their chips to anybody else, and the M2, M3, Mn could be increasingly faster than the x86 chips, how long before we start moving along this path? 1. Amazon, Google, Microsoft start building their own chips for their own clouds. The most efficient chip could translate into the cheapest cloud, or the fastest one at the same price. Their choice. 2. There will be N somewhat compatible AR…
>There will be N somewhat compatible ARM chips, that is to say they are somewhat incompatible. This isn't how ARM's architecture license works. All ARM implementations are required to pass the same standard test suite. >Architectural licensees get a set of specs and a testing suite that they have to pass, the rest is up to them. If they want to make a processor that is faster, slower, more efficient, smaller, or anyt…
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> M1 I don't have any insider knowledge but I am fully convinced (and so are many others) that we will see a newer Apple ARM based processor before the end of 2021. If you are a programmer and you have a machine to work on, I'd say hold out for the next one.
Apple hardware resells extremely well and if you don't want to deal with the hassle of reselling privately you can can also trade it in for a decent return. If you're not on a super tight budget it's not terrible to just pick up the new machine and swap it out for the next one that ships if you want to.
Considering that Apple won't sell their chips to anybody else, and the M2, M3, Mn could be increasingly faster than the x86 chips, how long before we start moving along this path? 1. Amazon, Google, Microsoft start building their own chips for their own clouds. The most efficient chip could translate into the cheapest cloud, or the fastest one at the same price. Their choice. 2. There will be N somewhat compatible AR…
I don't think the most important thing here is the ISA. A64 is a pretty nice and I don't see any reason you would want to be incompatible with it, especially since getting an ARM architecture license requires you to be compatible with other ARM chips. But Amazon isn't going with Apple's very wide and deep pipeline strategy and there's nothing to say that other ARM chips would either.
Why is the naive-bayes benchmark (first graph) such an extreme outlier? M1 is ~10 times slower on this benchmark whereas it is faster than the competition on almost any other benchmarks.
The decoupling of the class conditional feature distributions of the naive-bayes benchmark means that each distribution can be independently estimated as a one-dimensional distribution. This helps alleviate problems stemming from the curse of dimensionality, such as the need for data sets that scale exponentially with the number of features. This is precisely an area where x86 architecture and CISC ISA will out rank…
Those Redis results are very interesting. So interesting that it looks like something is wrong with the test. Maybe the OS is a factor? I assume they're connecting to redis over domain sockets?
redis is _the_ single threaded application
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I think they're more light than ultralight. Otherwise the performance stands. LG Gram 2020: 2.07 lbs MacBook 2017: 2.03 lbs MacBook Air 2020: 2.8 lbs MacBook Pro 2020: 3.0 lbs
Apple deliberately kept the form factors of these the same for this launch. It will be interesting seeing where they go from here form factor wise. Also... I suspect benchmarking the LG or the 12" MacBook versus the Air would be pretty humiliating.
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Well, Apple has managed to move all the way down to a 5nm process while Intel still hasn't made it past 14nm. AFAIK that's the largest limiting factor for Intel. I can't speak to why they have been stuck there for so long.
Leaving aside the fact that process size is a marketing term these days, I’m currently typing this on a previous-gen Macbook Air with a 10nm Intel CPU. They’re definitely not stuck on 14nm.