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Seems a bit odd as I would expect single core of M2 - Pro - Max to be more or less the same as the normal M2

Could this be M3?
M3 Max ? I would be disappointed because then M3 would be even more of a minor difference than going from M1 to M2.

There are two things :
1. Maybe it's been overclocked a little bit because this one is destined for a computer with a good active cooling system (a desktop computer with a good fan)
2. They're testing armv9 set of instructions
 
And don't get me started on Adobe Acrobat. I'm reasonably sure Adobe is trolling us with that app.
I think they're trolling the entire planet, because to be honest, it also sucks on Windows. Easily one of the worst popular apps I've ever tried in the last 20 years.

Adobe invented the PDF format but it's Apple who got it right first. Go figure why.
 
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You seem to be viewing this in black-and-white, where either you can are about max performance, in which case you'll abandon Macs for PC's, or you stay with Mac, which (in your view) means you don't.
I’m dealing with reality. In almost every case where a cross-platform benchmark is available, an Intel equipped system can be built that performs better (the exception, as I learned here, is processes that benefit from the architecture of Apple’s silicon). It IS black and white

Let me put it another way: Most high-end Mac desktop users want both MacOS and max performance, but will unhappily choose the former over the latter. It would be better if Apple didn't force them to make an unhappy choice (or, if you prefer, "leave in them in a position where they have to make an unhappy choice").
I’m not doubting that there’s some number of high-end Mac desktop users would WANT more performance. If you tell them “this faster ever Mac scores (some arbitrary benchmark) 3” and “this Intel system scores (some arbitrary benchmark) 5”, wanting REALLY hard for the Mac to score 5 doesn’t change the reality that, at any current time, the fastest Mac available is still the ONLY fastest Mac available for purchase. That’s been true for years now and Apple Silicon doesn’t change it. If someone’s happiness with a computer is based on arbitrary numbers rather than “how much MORE work they can get done in the same amount of time”, it’s clear that Apple’s not very concerned about putting up the “best numbers” for “numbers” sake.

Those users will likely always be unhappy because there will always be larger numbers elsewhere.
 
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"14,888" I think it's a troll sorry guys
Indeed!! As someone else stated, it’s MUCH more likely that the single core score would be closer to the score of the normal M2 (based on what we already know about how Apple’s been producing M series chips, which, granted, is limited). They bumped the single core score to be something that would get more “traction” in the tech circles!
 
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As a rule of thumb, to see a noticeable improvement in reponsiveness, you want a two-fold decrease in these wait times. My iMac's SC GB score is 1375 (measured), which means it's probably not worth spending the several thousand it would cost to switch to AS (I've got 128 GB now, and would probably want at least 96 GB with AS; plus I'd need to replace the iMac's 27" Retina Display) until it can offer GB SC > 2600.
As someone who went from the same iMac to an M1Max , the difference is night n day, at least in adobe programs. Every use case is diff but predetermining worth based on benchmarks isn’t the only metric.
 
If the benchmark is real, which it likely is, the only difference in single core performance from the M2 MacBook Air is clockspeed.

2027/1890 = 1.072, while 3.68/3.49 = 1.054. So if a single measurement had any real meaning, you'd be wrong. It doesn't, though.

Apple will introduce new 3nm chips, starting with TSCM's forthcoming N3E process in late 2023. A year from now we will see the new machines. These may also have cores that reflect the latest ARM architecture.
You speak very confidently from ignorance. You don't actually know which N3 process Apple will be using, nor whether they will ship in early or late 2023. Or even 2024, though let's hope not! "that reflect the latest ARM architecture" is utterly ridiculous:

However, one suspects, Apple will introduce but not yet deliver a spanking new MacPro at the annual WWDC next June. This too will be based on TSCM's forthcoming N3E and possibly lots of new ARM designed cores, delivered by Sep.

One might say, mine is educated speculation, as opposed to "pure" speculation.

One might only say that if one were as uninformed as you are. There is ZERO chance that Apple will deliver any ARM-designed cores. Apple's cores are a triumph of in-house engineering, which have consistently been significantly better - generally by multiple generations - than ARM's own cores.

Seriously, everyone should stop posting about this, and just read name99's comments (#84 onwards). You'd actually learn something.
 
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As someone who went from the same iMac to an M1Max , the difference is night n day, at least in adobe programs. Every use case is diff but predetermining worth based on benchmarks isn’t the only metric.
Yeah. And with Apple’s return policies, if someone has the money saved up for a device, there’s little downside to just buying an appropriately configured device and seeing how it does.

The longer one waits, the better the device they’ll eventually replace it with, but that begs the question. If one really doesn’t need a faster system (the one they have is suiting them just fine), wouldn’t they be better off sticking with the one that works precisely the way they expect it to? Like, for people using a 2012 machine and saying they’re waiting until Apple releases “just the right system”, why even look forward to buying something when it’s more system than they’d likely ever get use out of?
 
Geekbench scores are not reliable in real render apps... For example geekbench 5 can add 20 to 30% points only for
faster memory. In real world faster memory can speed apps up only a few percent. So professionals who need a faster CPU for rendering should rely on Cinebench R23. In addition Geekbench dont use 100% power of the CPU. Most of the the time , the CPU is not fully working. So apple M1/M2 processors are much weaker than geekbench suggest. see the graphic below.
 

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Last month, Geekbench scores for an unannounced Mac running the upcoming M2 Max chip surfaced online, showing only minor performance increases compared to the M1 Max. Now, another set of scores claiming to be for the M2 Max chip has surfaced online, showing a larger jump in performance.

14-vs-16-inch-mbp-m2-pro-and-max-feature.jpg

In the Geekbench scores last week, the M2 Max chip scored 1,853 in single-core and 13,855 in multi-core, representing only a minor jump compared to its predecessor. Now, in a new set of scores alleged for the M2 Max, the chip scored 2,027 in single-core and 14,888 in multi-core. For reference, the M1 Max chip achieves 1,755 in single-core and 12,334 in multi-core.

The new Geekbench scores offer no further details over any upcoming Macs, which we expect first to be 14-inch and 16-inch MacBook Pros. The scores list the chip as running on a Mac with an identifier "Mac14,6" with 96GB of memory and running macOS Ventura 13.2. The only difference between today's scores and last month's ones is that the updated scores show an M2 Max chip with a higher base frequency of 3.68 GHz compared to 3.54 GHz, which could explain the higher scores.

Apple was initially expected to announce updated Macs with M2 Pro and M2 Max chips in November this year, but the company pushed plans until early 2023. Apple has multiple new Macs in the work, including an updated iMac and MacBook Pro.

Article Link: 'M2 Max' Geekbench Scores Surface Again Online Ahead of Release in 2023
Anyone know the release date for the M2 14 and 16. I bought a 14 M1 and can get a full refund until Jan 31 and am wondering if the M2 Pro will be worth the swap and will be available soon.
 
Anyone know the release date for the M2 14 and 16. I bought a 14 M1 and can get a full refund until Jan 31 and am wondering if the M2 Pro will be worth the swap and will be available soon.

Might be coming in January indeed, but historically, that tends to be a quiet month for Apple releases.
 
I strongly disagree with the way you criticized this poster, since it's condescending in tone while also being incorrect. There's nothing wrong with the phrase "power consumption". It just means energy consumption per unit time. Indeed, it's commonly used in that way as a term of art. Here are just a few examples:


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Yeah, and these people are also all incorrect.
Physics defines words like energy, work, power, and force in very specific ways so that precise statements can be made. If you refuse to honor that precision, your thinking turns to mush.
FOR EXAMPLE:
Suppose that a new chip runs twice as fast as a previous chip, but uses the same amount of energy to perform a given task. That chip runs at twice the power of the older chip. Is that bad? Probably not. Your battery lasts just as long as before, but you get your results in half the time. What's wrong with that? But you lose this nuance if you obsess over power rather than energy. And most of the idiotic commentary around the A15 and M2 was rooted in precisely not understand this point.

In fact what serious engineers will use is the energy delay product or the energy delay squared product, which captures both of these points -- that you care about energy consumption and time taken to perform the task.
 
Sorry, not following exactly how this responds to what I wrote.

I'm a regular user of Mathematica and, like many pieces of scientific software, it's mostly single threaded. I routinely run calculations that take several seconds to several minutes to complete. Since Mathematica is interactive, a reduction in the wait times would be welcome.

Plus when doing common operations on my 2019 i9 iMac within Word, Excel, PowerPoint, and Adobe Acrobat Pro, if the documents are sufficiently large and complex (which mine are), I routinely get delays of 1-3 s, often accompanied by a spinning beachball. Since these operations are common, these delays are repeated, which makes them irritating.

So yes, I definitely can use faster SC performance.

As a rule of thumb, to see a noticeable improvement in reponsiveness, you want a two-fold decrease in these wait times. My iMac's SC GB score is 1375 (measured), which means it's probably not worth spending the several thousand it would cost to switch to AS (I've got 128 GB now, and would probably want at least 96 GB with AS; plus I'd need to replace the iMac's 27" Retina Display) until it can offer GB SC > 2600.
Mathematica is right now far from optimized for Apple Silicon :-(
The situation is a lot better than a few years ago (where Wolfram Player seemed to not even use NEON for almost all tasks) but it's still far from optimal.
There are obvious misses (no use of AMX), more subtle misses (the bignum library seems to be a very old version of GMP, not the most recent version which has somewhat better ARMv8 support, though when I skimmed the assembly a few months ago to my eyes there was at least one instruction in the core multiply routine that could be dropped), and extremely subtle misses (Apple has a 52b integer multiply as a custom instruction, probably added for crypto use, which could be used to accelerate bignum support, like IFMA on AVX512).

The end result is that using it is very much a mixed bag, with some parts feeling notably faster than Intel and some notably slower. The good news is that Wolfram has always seemed to use mainly Apple HW, so they have plenty of internal desire to speed things up; just everything takes time! MMA13 on AS was a big improvement over Wolfram Player, and I expect MMA14 will be an even bigger jump.

(Honestly I'm wondering when MMA "standard" editions of various sorts will give us more than 8 cores for Parallel[] operations. The 8 core limit has been in place so long, starting when 8 cores were extremely high-end, but now 8-cores are mid-range. I think it's time for MMA 14 to bump the limit to perhaps 12 cores.)
 
I think that's right. The strategy is working for them, as long as they can keep improving IPC about 10-20% a year, and add a few cores now and then (plus, potentially, add more specialized cores, such as the Display Engine or of cores before it the Neural Engine).
Honestly neither A15 nor A16 improved IPC much as far as I can tell. A15 included a cute trick for speeding up certain types of indirect branches (which plays out in JS and Obj-C method dispatch being faster) but otherwise seemed to be mainly about energy efficiency at slightly higher frequency. A16 seemed to be more of that same.

Honestly I'm not worried; both of these can be justified in terms of the impacts of covid and the company re-arrangement to also target Macs (meaning much larger, more scalable, designs). If you look at the patents, you see there are new IPC ideas still being filed; for example yesterday I came across one that to my eyes looks like a generalization of a zero-content cache. (IMHO the generalization seems not very valuable to me; my guess is it's a clever way to get the value of a zero-content cache while avoiding patents because you can say "our idea has nothing to do with zero content; it targets generic "data patterns".) So maybe we'll see that in the A17 generation?
 
Seriously, everyone should stop posting about this, and just read name99's comments (#84 onwards). You'd actually learn something.
Quite some knowledge shared by a couple of individuals, up to the last post before this one I’m writing.

One of them gotta be cmaier, I’m placing my bet.
(Those being around here for long enough might think so too).
 
Quite some knowledge shared by a couple of individuals, up to the last post before this one I’m writing.

One of them gotta be cmaier, I’m placing my bet.
(Those being around here for long enough might think so too).

Name99 is well known in some places (AnandTech for example). He's not cmaier. And if you're referring to me, well, I'm not either. Though I agree with you, he was one of the more valuable sources of insight here. I didn't realize he was banned until now (I don't read forums here regularly).

If you're up to the technical level, I strongly recommend you follow name99's link to his githhub AArch64-Explore repository. Tons of good info there.
 
Honestly neither A15 nor A16 improved IPC much as far as I can tell. A15 included a cute trick for speeding up certain types of indirect branches (which plays out in JS and Obj-C method dispatch being faster) but otherwise seemed to be mainly about energy efficiency at slightly higher frequency. A16 seemed to be more of that same.

Honestly I'm not worried; both of these can be justified in terms of the impacts of covid and the company re-arrangement to also target Macs (meaning much larger, more scalable, designs).

I'm not worried either, though I'm impatiently waiting for the other shoe to drop. :) My guess was that Apple was working on improving the maximum clocks it could get. Because, while you're right that just pushing clocks is a stupid way to get better performance, it's still one of the things you want to do - and as we see, Apple is continuing to push the clocks up, though with impressive restraint. That's something it can work on further with in-house M2s without ever showing its cards in shipping products.

One of the things I've wondered about (I posted about this on AppleInsider a number of times, though I've since given up on their forums) is whether they would try to push the clocks hard, and if they would be willing to pay a price in pipeline length. Based on the M2, which I know is not dispositive, I'm guessing "some" and "no". Guess we'll see next year.

The other thing I figured Apple was spending its time on was the uncore - they surely know that they're not scaling well in a number of ways, and if I were J.S. I'd be putting in at least as much effort there as in the CPU cores. And that's really the shoe I'm waiting for... I expected we'd know where they are on this last month (with an M2 Pro/Max reveal) and it's reaaaally irritating having to wait another few months.
 
As someone who went from the same iMac to an M1Max , the difference is night n day, at least in adobe programs. Every use case is diff but predetermining worth based on benchmarks isn’t the only metric.
Good to know about Adobe. I don't rely on benchmarks. I was just using GB as a shorthand for general performance improvement. In fact, I probably do more detailed performance testing with actual tasks than most on this site.

For instance, here I tested a variety of single-threaded symbolic computation tasks in Mathematica that are representative of the type of calculations I actually do. On six different suites of calculations, a 16" M1 Pro MBP averages only 2% –19% faster than my i9 iMac. Similar results were seen vs. an M1 Max Studio.

For numerical tasks (not shown here), Mathematica is often slower on AS.

These results will improve in the future as Mathematica becomes better optimized for AS, and as AS itself becomes faster.

1666842772203.png
 
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I’m dealing with reality. In almost every case where a cross-platform benchmark is available, an Intel equipped system can be built that performs better (the exception, as I learned here, is processes that benefit from the architecture of Apple’s silicon). It IS black and white
You misunderstand. I never took a position on your performance statements. Instead, I was arguing against your absolutist claim that anyone who cares about max performance would be using a PC. That's simply false. It's not reality.

Again, there are many, like myself, who care about max performance but stick with the Mac for other reasons. I have no idea why you continue to disagree with what should be a non-controversial position. Indeed, with your most recent post, it seems you're finally backing down from your absolutist position, changing it from this:
Anyone that wants the flat out best performance for cross platform applications are already running something Intel and will continue to do so (except in those few cases where Apple provides an unbeatable advantage due to the architecture).
To this:
I’m not doubting that there’s some number of high-end Mac desktop users would WANT more performance.
*****
... the fastest Mac available is still the ONLY fastest Mac available for purchase.
I'm not following what you're trying to say here—it sounds circular: 'the fastest mac is the fastest mac'.
If someone’s happiness with a computer is based on arbitrary numbers rather than “how much MORE work they can get done in the same amount of time”, it’s clear that Apple’s not very concerned about putting up the “best numbers” for “numbers” sake.
Total straw man. These users who want max performance want it precisely because they can get work done faster with less friction (like intermittent spinning beachballs). It's an insulting mischaracterization to say these serious users are simply looking for benchmark bragging rights. The GB scores are just used as a coarse-grained measure of real-world performance.
 
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Im hardly touching half the limits of the M1 Max - have no need for the M2 Max, nor will I allow myself to fall into the marketing hype again!
 
Mathematica is right now far from optimized for Apple Silicon :-(
Agreed. Numerical calculations are sometimes significantly slower than on my i9 iMac. As for symbolic calculations, as mentioned above, I created a suite of tests corresponding the to type of calculations I do and, while I didn't find any that were slower on AS, the speed improvement was much less than it should be (the AS device was a 16" M1 Pro MBP; similar results were, as expected, seen with an M1 Max Studio, since all these calculations are single-threaded only).
1666842772203.png

The end result is that using it is very much a mixed bag, with some parts feeling notably faster than Intel and some notably slower. The good news is that Wolfram has always seemed to use mainly Apple HW, so they have plenty of internal desire to speed things up; just everything takes time! MMA13 on AS was a big improvement over Wolfram Player, and I expect MMA14 will be an even bigger jump.

(Honestly I'm wondering when MMA "standard" editions of various sorts will give us more than 8 cores for Parallel[] operations. The 8 core limit has been in place so long, starting when 8 cores were extremely high-end, but now 8-cores are mid-range. I think it's time for MMA 14 to bump the limit to perhaps 12 cores.)
Also agreed.
There are obvious misses (no use of AMX), more subtle misses (the bignum library seems to be a very old version of GMP, not the most recent version which has somewhat better ARMv8 support, though when I skimmed the assembly a few months ago to my eyes there was at least one instruction in the core multiply routine that could be dropped), and extremely subtle misses (Apple has a 52b integer multiply as a custom instruction, probably added for crypto use, which could be used to accelerate bignum support, like IFMA on AVX512).
Do you have references to support this? I've been curious why AS MMA has been underperforming, and the only semi-official info. I've seen (from a Wolfram employee posting on Mathematica Stack Exchange) is that the numerical libraries available with AS are not as fast as Intel's MKL. But that doesn't explain the mediocre symbolic results I posted. Also, which, if any, of the issues you posted would affect symbolic results?

And have you considered writing to Wolfram TS and challenging them on this to see what they say? You might actually get a substantive reply.
 
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Physics defines words like energy, work, power, and force in very specific ways so that precise statements can be made. If you refuse to honor that precision, your thinking turns to mush.
Since I teach thermodynamics, I am somewhat aware of this ;). [Feel free to peruse my answers at https://chemistry.stackexchange.com/users/68027/theorist?tab=answers&sort=votes]
FOR EXAMPLE:
Suppose that a new chip runs twice as fast as a previous chip, but uses the same amount of energy to perform a given task. That chip runs at twice the power of the older chip. Is that bad? Probably not. Your battery lasts just as long as before, but you get your results in half the time. What's wrong with that? But you lose this nuance if you obsess over power rather than energy. And most of the idiotic commentary around the A15 and M2 was rooted in precisely not understand this point.

In fact what serious engineers will use is the energy delay product or the energy delay squared product, which captures both of these points -- that you care about energy consumption and time taken to perform the task.
What your argument boils down to isn't that "power consumption" is a physically incorrect term (it's not), but rather that it's not the right metric to use because it doesn't account for the fact that a faster processor can get more done in the same amount of time. Those are two entirely different criticisms. The latter is legitimate, the former is not.

Consider this: Writing the following....
You don't consume power, you consume energy.
If you don't know the difference between power, energy, and the energy-delay product, and which matters for which purpose, then you really shouldn't be making (silly) comments like this.
Is no different than if somone responded to your post with this:
You don't consume energy, you transform energy.
If you don't know something so basic, then you really shouldn't be making (silly) comments like this. Physics requires precision, and if you don't honor that precision, your thinking turns to mush.
Neither is a legitimate response. When someone writes "power consumption", we understand that it's a compact way of saying "energy consumption per unit time". And when someone writes "energy consumption", and it's for a computer, we understand that it's a compact way of saying "transformation of electrical energy to thermal energy."

Yes, if someone explicitly confuses power and energy (e.g., "the computer consumes 1 kW of energy per day"), then a polite correction is justified. But that wasn't the case here.
 
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