Uhm, what???Cameras on the back are different. I have a keen eye for these things.
Uhm, what???Cameras on the back are different. I have a keen eye for these things.
He's right. They are very different, also the 11 is a smidge larger.Uhm, what???
I'm mostly asking why quote me if I didn't talk about the camera.He's right. They are very different, also the 11 is a smidge larger.
Right. I was a bit disappointed for no price drop for the 2020 MacBook Air M1, but it'll still be on our standard offering for staff/faculty. AppleCare+ for the MacBook Air M2 is also increased.I don't think anyone should be thinking of swapping out an M1 MBA. If they are, they bought the wrong laptop.
The more interesting question: is the M2 MBA worth an extra $200 over the M1 MBA. For schools or businesses buying in bulk, I suspect not.
Sorry man, somehow quoted your comment erroneously.Uhm, what???
If you’d like to get into the weeds, I recommend The Signal Path as a basis for discussion. 18 minutes into his analysis of an RF board is a good place to start:But those images from the former systemplus.fr don't address my question: why are we even thinking there are two cores? They just assert there are two, based on... well, I don't know what they're basing it on. Apple's own documentation on the Secure Enclave and its capabilities makes no mention of two cores:
Secure Enclave
The Secure Enclave is a dedicated secure subsystem in the latest versions of iPhone, iPad, Mac, Apple TV, Apple Watch, and HomePod.support.apple.com
The blocks that these people have tagged as Secure Enclave in these images also don't look like a Secure Enclave to me. How would some random guy know what it looks like? I don't, but I do know what it shouldn't look like, and in this case it's "anything as large as those blocks". The SE, including its CPU, should be tiny. There's no need for speed here. Even the M1's E cores qualify as fast, huge, and hot relative to the minimalistic microcontroller-class "ASC" cores used in the SEP and several other Apple Silicon subsystems.
Why small? Security engineers and analysts often talk about "attack surface", a concept referring to how much 'surface area' of the hardware or software is subject to potential attacks. One of the very best known ways to simultaneously minimize attack surface and make the design highly auditable / verifiable by formal methods is to keep it incredibly minimalistic. The Secure Enclave isn't designed for speed, it exists to be a hopefully impenetrable keeper of secrets.
So while I could be wrong about this, I don't think the Secure Enclave is a block big enough to easily pick out in these pictures.
Along those lines... the Apple doc I linked mentions that SSD encryption/decryption is performed by an AES engine outside the Secure Enclave. There is a secured path for the SE to feed the AES engine key data, designed to make leaking that key to software impossible, but the SE itself is not in the datapath. (Reinforcing the point that the SE is a keeper of secrets, not a doer of work.)
You might then say "well those blocks must be the AES engines", but here again we have a case where the docs only mention one engine. There's only one internal SSD, no need for two. Also, here is where I get to bring actual personal experience to bear: I've implemented cryptographic blocks before and I wouldn't expect an AES256 engine to be anywhere near that big and complicated.
I mean, yes, you can analyze decapped chips. It's easier when it's analog like the chip The Signal Path was looking at - analog chips always have physically bigger circuit elements (you can't scale analog down as far as digital without running into noise problems) and as he notes they also often have much less metal covering the base layer. But you can still see some things in digital circuits, particularly large regular features. For example, it's easy to see that there's some SRAM arrays in those blocks labeled A1 and A2.If you’d like to get into the weeds, I recommend The Signal Path as a basis for discussion. 18 minutes into his analysis of an RF board is a good place to start:
Of course, the critics will say that Alder Lake still has a slightly faster single core score (with a much higher power draw).Approximately 9.5% faster in single core, and 19% faster in multi core, in Geekbench CPU tests. Not bad at all:
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Seems like the M2 would also scale pretty well with the Pro, Max and Ultra SKUs as core counts increase. Especially for multithreaded workloads.
The video decode/encode engines on the M2 will also be a significant speedup as compared to a base M1 for people using the supported codecs in their work. All in all, the M2 appears to be a solid step forward.
Just doing a quick search, it looks like the Core i9-12900K part at is slower - 1834 - in single core than M2 - 1869Of course, the critics will say that Alder Lake still has a slightly faster single core score (with a much higher power draw).
Where did you get these numbers from? I ask because some of them are clearly fictional - the chart has M1 Pro/Max/Ultra GB5 single core scores about 200 points higher than they should be. I just ran GB5 on my M1 Max and it scored 1765.Approximately 9.5% faster in single core, and 19% faster in multi core, in Geekbench CPU tests. Not bad at all:
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Seems like the M2 would also scale pretty well with the Pro, Max and Ultra SKUs as core counts increase. Especially for multithreaded workloads.
The video decode/encode engines on the M2 will also be a significant speedup as compared to a base M1 for people using the supported codecs in their work. All in all, the M2 appears to be a solid step forward.
M1 Pro/Max/Ultra does not score over 1900 on Geekbench singlecore. They are all around 1750 give or take 20.Approximately 9.5% faster in single core, and 19% faster in multi core, in Geekbench CPU tests. Not bad at all:
View attachment 2019208
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Seems like the M2 would also scale pretty well with the Pro, Max and Ultra SKUs as core counts increase. Especially for multithreaded workloads.
The video decode/encode engines on the M2 will also be a significant speedup as compared to a base M1 for people using the supported codecs in their work. All in all, the M2 appears to be a solid step forward.
Approximately 9.5% faster in single core, and 19% faster in multi core, in Geekbench CPU tests. Not bad at all:
View attachment 2019208
View attachment 2019209
Seems like the M2 would also scale pretty well with the Pro, Max and Ultra SKUs as core counts increase. Especially for multithreaded workloads.
The video decode/encode engines on the M2 will also be a significant speedup as compared to a base M1 for people using the supported codecs in their work. All in all, the M2 appears to be a solid step forward.
That chart is absolutely wrong in single core results.Approximately 9.5% faster in single core, and 19% faster in multi core, in Geekbench CPU tests. Not bad at all:
View attachment 2019208
View attachment 2019209
Seems like the M2 would also scale pretty well with the Pro, Max and Ultra SKUs as core counts increase. Especially for multithreaded workloads.
The video decode/encode engines on the M2 will also be a significant speedup as compared to a base M1 for people using the supported codecs in their work. All in all, the M2 appears to be a solid step forward.
Where did you get these numbers from? I ask because some of them are clearly fictional - the chart has M1 Pro/Max/Ultra GB5 single core scores about 200 points higher than they should be. I just ran GB5 on my M1 Max and it scored 1765.
FYI, while their site changed, it appears that the M1 sample report is still available.I mean, yes, you can analyze decapped chips. It's easier when it's analog like the chip The Signal Path was looking at - analog chips always have physically bigger circuit elements (you can't scale analog down as far as digital without running into noise problems) and as he notes they also often have much less metal covering the base layer. But you can still see some things in digital circuits, particularly large regular features. For example, it's easy to see that there's some SRAM arrays in those blocks labeled A1 and A2.
But what we need for further discussion is the rationale as to why that website identified A1 and A2 as "dual-core Secure Enclave". Why do they think there's two cores in a Secure Enclave, and why do they think those particular blocks are those cores? I've given my counterargument, it's all much too large to be the Secure Enclave and I don't think there's two cores in the SE, but I dunno where to go from there.
Sadly, I get a not found error - your browser might have cached it?FYI, while their site changed, it appears that the M1 sample report is still available.
Perhaps the SystemPlus people meant dual core cryptography engine, with a portion of the identified block being the actual Secure Enclave. If you look at page 20 of the sample report, they clearly identified separate blocks that they lumped into the "Dual Core Secure Enclave" major IP block.
Please modify your post. These are not M2 results “in Geekbench CPU tests”. No such results exist yet. Also, the M1 single core scores are completely wrong.Approximately 9.5% faster in single core, and 19% faster in multi core, in Geekbench CPU tests. Not bad at all:
View attachment 2019208
View attachment 2019209
Seems like the M2 would also scale pretty well with the Pro, Max and Ultra SKUs as core counts increase. Especially for multithreaded workloads.
The video decode/encode engines on the M2 will also be a significant speedup as compared to a base M1 for people using the supported codecs in their work. All in all, the M2 appears to be a solid step forward.
Sigh. No, I guess they’re continuing to transition their site. I saved a copy, so I’ll upload it somewhere and post a link in a bit.Sadly, I get a not found error - your browser might have cached it?
The Wayback Machine to the rescue!Sadly, I get a not found error - your browser might have cached it?
There are too many people that think having more ram equals faster computer. It's not really the case. I know from my own personal experiences.
How much faster is memory bandwith on the M2, 50gb/s vs 100gb/s now? this can impact performance significantly in some situations specially on the GPU side as it shares memory. I'll wait for an Mini M2 to see if it will come with full M2 8cpu/10gpu like M1 8cpu/8gpu, and check benchmarks to see if it's worth the upgrade for a long term computer, or if It's better to just wait for the M3 in arm v9
For whatever reason my MacBook M1 Air isn't. How many tabs are we talking about?real world it matters a lot. my M1 mini with 8 GB seemed blazing fast to boot, boot apps, crunch data. but if i have safari open with dozens of tabs (normal for me) i’m red lining memory in no time and beach-balling every other minute.
while i agree with you...i have to disagree with you in some points
M1 MBA was announced 18 months and not 24
18% increase in raw cpu is ok for a second 5nm generation, expect a better improvement with the M3 since it will have 3nm and armV9
But also...the gpu is over 30% improvement over 18 months so...and think about scaling this to the M2 Max/Ultra since probably we will have LPDDR5x into those
Still disappointing that it will only support one external display.