From Mobile to Mac: What to Expect?

To date, our performance comparisons for Apple’s chipsets have always been in the context of iPhone reviews, with the juxtaposition to x86 designs being a rather small footnote within the context of the articles. Today’s Apple Silicon launch event completely changes the narrative of what we portray in terms of performance, setting aside the typical apples vs oranges comparisons people usually argument with.

We currently do not have Apple Silicon devices and likely won’t get our hands on them for another few weeks, but we do have the A14, and expect the new Mac chips to be strongly based on the microarchitecture we’re seeing employed in the iPhone designs. Of course, we’re still comparing a phone chip versus a high-end laptop and even a high-end desktop chip, but given the performance numbers, that’s also exactly the point we’re trying to make here, setting the stage as the bare minimum of what Apple could achieve with their new Apple Silicon Mac chips.

SPECint2006 Speed Estimated Scores

The performance numbers of the A14 on this chart is relatively mind-boggling. If I were to release this data with the label of the A14 hidden, one would guess that the data-points came from some other x86 SKU from either AMD or Intel. The fact that the A14 currently competes with the very best top-performance designs that the x86 vendors have on the market today is just an astonishing feat.

Looking into the detailed scores, what again amazes me is the fact that the A14 not only keeps up, but actually beats both these competitors in memory-latency sensitive workloads such as 429.mcf and 471.omnetpp, even though they either have the same memory (i7-1185G7 with LPDDR4X-4266), or desktop-grade memory (5950X with DDR-3200).

Again, disregard the 456.hmmer score advantage of the A14, that’s majorly due to compiler discrepancies, subtract 33% for a more apt comparison figure.

SPECfp2006(C/C++) Speed Estimated Scores

Even in SPECfp which is even more dominated by memory heavy workloads, the A14 not only keeps up, but generally beats the Intel CPU design more often than not. AMD also wouldn’t be looking good if not for the recently released Zen3 design.

SPEC2006 Speed Estimated Total

In the overall SPEC2006 chart, the A14 is performing absolutely fantastic, taking the lead in absolute performance only falling short of AMD’s recent Ryzen 5000 series.

The fact that Apple is able to achieve this in a total device power consumption of 5W including the SoC, DRAM, and regulators, versus +21W (1185G7) and 49W (5950X) package power figures, without DRAM or regulation, is absolutely mind-blowing.

GeekBench 5 - Single Threaded

There’s been a lot of criticism about more common benchmark suites such as GeekBench, but frankly I've found these concerns or arguments to be quite unfounded. The only factual differences between workloads in SPEC and workloads in GB5 is that the latter has less outlier tests which are memory-heavy, meaning it’s more of a CPU benchmark whereas SPEC has more tendency towards CPU+DRAM.

The fact that Apple does well in both workloads is evidence that they have an extremely well-balanced microarchitecture, and that Apple Silicon will be able to scale up to “desktop workloads” in terms of performance without much issue.

Where the Performance Trajectory Finally Intersects

During the release of the A7, people were pretty dismissive of the fact that Apple had called their microarchitecture a desktop-class design. People were also very dismissive of us calling the A11 and A12 reaching near desktop level performance figures a few years back, and today marks an important moment in time for the industry as Apple’s A14 now clearly is able to showcase performance that’s beyond the best that Intel can offer. It’s been a performance trajectory that’s been steadily executing and progressing for years:

Whilst in the past 5 years Intel has managed to increase their best single-thread performance by about 28%, Apple has managed to improve their designs by 198%, or 2.98x (let’s call it 3x) the performance of the Apple A9 of late 2015.

Apple’s performance trajectory and unquestioned execution over these years is what has made Apple Silicon a reality today. Anybody looking at the absurdness of that graph will realise that there simply was no other choice but for Apple to ditch Intel and x86 in favour of their own in-house microarchitecture – staying par for the course would have meant stagnation and worse consumer products.

Today’s announcements only covered Apple’s laptop-class Apple Silicon, whilst we don’t know the details at time of writing as to what Apple will be presenting, Apple’s enormous power efficiency advantage means that the new chip will be able to offer either vastly increased battery life, and/or, vastly increased performance, compared to the current Intel MacBook line-up.

Apple has claimed that they will completely transition their whole consumer line-up to Apple Silicon within two years, which is an indicator that we’ll be seeing a high-TDP many-core design to power a future Mac Pro. If the company is able to continue on their current performance trajectory, it will look extremely impressive.

Dominating Mobile Performance Apple Shooting for the Stars: x86 Incumbents Beware
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  • 29a - Thursday, November 12, 2020 - link

    Folks are people, bit you probably knew that.
  • CharonPDX - Saturday, November 14, 2020 - link

    My sister has needed a new laptop for a while - she has a Windows laptop now, but her work laptop is an Apple, and she likes Apple. (She's a government employee, so *CAN'T* use her work laptop for personal uses.)

    So, ordered a MacBook Air for her for Christmas (splitting the cost with our parents.)

    While I was at it, ordered myself a Mini to play with, and probably replace my old 2012 Mini in "home server" use.
  • Alej - Saturday, November 14, 2020 - link

    There’s a running theme on twitter and on a thread on Blender artists forums where they point out that the unique memory and texture compressions available to the M1 chip memory hardware would allow it to fit scenes with 100+GB of textures inside those 16GB for GPU rendering.
    Apple for a long time has touted that they have clever RAM management at the OS level and I truly believe it, I can use an 8GB 2015 MacBook for light-to-mid work and it’s pleasant while using a Windows Laptop with the same 8GB can prove sluggish even when just doing browser navigation (although many other variables for that to happen besides being actually the memory available).
  • mdriftmeyer - Saturday, December 5, 2020 - link

    Must be some mysterious Fractal Compression [bs] to pull off that fantastical feat of creative story telling.
  • mattbe - Saturday, November 14, 2020 - link

    "not when ssd of today is *faster* than memory of even a few years ago."

    This is simply not correct. Please show me an example where SSD is faster than memory (DDR4) from a few years ago.
  • alysdexia - Wednesday, November 11, 2020 - link

    faster -> swiftlier; Macbook -> MacBook; will -> shall
  • adt6247 - Thursday, November 12, 2020 - link

    But regardless of OS, some workloads need more RAM. It's why I jumped ship from Mac laptops a couple generations ago. In situations where I'm running tons of VMs and Docker images, building enterprise Java apps, etc. that 16GB of RAM get chewed through real quick.

    It's not to say that 16GB isn't good enough for most people -- it certainly is. But in 2020, calling it a "Pro" laptop and unable to handle certain classes of increasingly common professional workloads is not great. That being said, this is a first step. It's clear they're going to have to go to RAM off-package for some machines (at least the Mac Pro), hopefully that will trickle down to the Pro laptops.

    Also, I'd LOVE to see Linux distros targeting this hardware. Should be fun to run some benchmarks.
  • danbob999 - Friday, November 13, 2020 - link

    The required RAM has nothing to do with the architecture.
    ARM requires as much RAM as x86 to run the same applications. No reason why macOS would use half the RAM with Apple silicon. With universal binaries taking more space, RAM usage could even go up a bit.
  • NetMage - Friday, November 13, 2020 - link

    Universal binaries may need more storage but there is no reason they should need more RAM.
  • alysdexia - Wednesday, November 11, 2020 - link

    a iPad Pro version?

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