Section by Ryan Smith

M1 GPU Performance: Integrated King, Discrete Rival

While the bulk of the focus from the switch to Apple’s chips is on the CPU cores, and for good reason – changing the underlying CPU architecture if your computers is no trivial matter – the GPU aspects of the M1 are not to be ignored. Like their CPU cores, Apple has been developing their own GPU technology for a number of years now, and with the shift to Apple Silicon, those GPU designs are coming to the Mac for the very first time. And from a performance standpoint, it’s arguably an even bigger deal than Apple’s CPU.

Apple, of course, has long held a reputation for demanding better GPU performance than the average PC OEM. Whereas many of Intel’s partners were happy to ship systems with Intel UHD graphics and other baseline solutions even in some of their 15-inch laptops, Apple opted to ship a discrete GPU in their 15-inch MacBook Pro. And when they couldn’t fit a dGPU in the 13-inch model, they instead used Intel’s premium Iris GPU configurations with larger GPUs and an on-chip eDRAM cache, becoming one of the only regular customers for those more powerful chips.

So it’s been clear for some time now that Apple has long-wanted better GPU performance than what Intel offers by default. By switching to their own silicon, Apple finally gets to put their money where their mouth is, so to speak, by building a laptop SoC with all the GPU performance they’ve ever wanted.

Meanwhile, unlike the CPU side of this transition to Apple Silicon, the higher-level nature of graphics programming means that Apple isn’t nearly as reliant on devs to immediately prepare universal applications to take advantage of Apple’s GPU. To be sure, native CPU code is still going to produce better results since a workload that’s purely GPU-limited is almost unheard of, but the fact that existing Metal (and even OpenGL) code can be run on top of Apple’s GPU today means that it immediately benefits all games and other GPU-bound workloads.

As for the M1 SoC’s GPU, unsurprisingly it looks a lot like the GPU from the A14. Apple will have needed to tweak their design a bit to account for Mac sensibilities (e.g. various GPU texture and surface formats), but by and large the difference is abstracted away at the API level. Overall, with M1 being A14-but-bigger, Apple has scaled up their 4 core GPU design from that SoC to 8 cores for the M1. Unfortunately we have even less insight into GPU clockspeeds than we do CPU clockspeeds, so it’s not clear if Apple has increased those at all; but I would be a bit surprised if the GPU clocks haven’t at least gone up a small amount. Overall, A14’s 4 core GPU design was already quite potent by smartphone standards, so an 8 core design is even more so. M1’s integrated GPU isn’t just designed to outpace AMD and Intel’s integrated GPUs, but it’s designed to chase after discrete GPUs as well.

A Educated Guess At Apple GPU Specifications
  M1
ALUs 1024
(128 EUs/8 Cores)
Texture Units 64
ROPs 32
Peak Clock 1278MHz
Throughput (FP32) 2.6 TFLOPS
Memory Clock LPDDR4X-4266
Memory Bus Width 128-bit
(IMC)

Finally, it should be noted that Apple is shipping two different GPU configurations for the M1. The Mac Mini and MacBook Pro get chips with all 8 GPU cores enabled. Meanwhile for the Macbook Air, it depends on the SKU: the entry-level model gets a 7-core configuration, while the higher-tier model gets 8 cores. This means the entry-level Air gets the weakest GPU on paper – trailing a full M1 by around 12% – but it will be interesting to see how the shut-off core influences thermal throttling on that passively-cooled laptop.

Kicking off our look at GPU performance, let’s start with GFXBench 5.0. This is one of our regular benchmarks for laptop reviews as well, so it gives us a good opportunity to compare the M1-based Mac Mini to a variety of other CPU/GPU combinations inside and outside the Mac ecosystem. Overall this isn’t an entirely fair test since the Mac Mini is a small desktop rather than a laptop, but as M1 is a laptop-focused chip, this at least gives us an idea of how M1 performs when it gets to put its best foot forward.

GFXBench 5.0 Aztec Ruins Normal 1080p Offscreen

GFXBench 5.0 Aztec Ruins High 1440p Offscreen

Overall, the M1’s GPU starts off very strong here. At both Normal and High settings it’s well ahead of any other integrated GPU, and even a discrete Radeon RX 560X. Only once we get to NVIDIA’s GTX 1650 and better does the M1 finally run out of gas.

The difference compared to the 2018 Intel Mac Mini is especially night-and-day. The Intel UHD graphics (Gen 9.5) GPU in that system is vastly outclassed to the point of near-absurdity, delivering a performance gain over 6x. And even other configurations such as the 13-inch MBP with Iris graphics, or a PC with a Ryzen 4700U (Vega 7 graphics) are all handily surpassed. In short, the M1 in the new Mac Mini is delivering discrete GPU-levels of performance.

As an aside, I also took the liberty of running the x86 version of the benchmark through Rosetta, in order to take a look at the performance penalty. In GFXBench Aztec Ruins, at least, there is none. GPU performance is all but identical with both the native binary and with binary translation.

Futuremark 3DMark Ice Storm Unlimited - Graphics

Taking one last quick look at the wider field with an utterly silly synthetic benchmark, we have 3DMark Ice Storm Unlimited. Thanks to the ability for Apple Silicon Macs to run iPhone/iPad applications, we’re able to run this benchmark on a Mac for the first time by running the iOS version. This is a very old benchmark, built for the OpenGL ES 2.0 era, but it’s interesting that it fares even better than GFXBench. The Mac Mini performs just well enough to slide past a GTX 1650 equipped laptop here, and while this won’t be a regular occurrence, it goes to show just how potent M1 can be.

BaseMark GPU 1.2.1 - Medium

BaseMark GPU 1.2.1 - High

Another GPU benchmark that’s been updated for the launch of Apple’s new Macs is BaseMark GPU. This isn’t a regular benchmark for us, so we don’t have scores for other, non-Mac laptops on hand, but it gives us another look at how M1 compares to other Mac GPU offerings. The 2020 Mac Mini still leaves the 2018 Intel-based Mac Mini in the dust, and for that matter it’s at least 50% faster than the 2017 MacBook Pro with a Radeon Pro 560 as well. Newer MacBook Pros will do better, of course, but keep in mind that this is an integrated GPU with the entire chip drawing less power than just a MacBook Pro’s CPU, never mind the discrete GPU.

Rise of the Tomb Raider - Value

Rise of the Tomb Raider - Enthusiast

Finally, putting theory to practice, we have Rise of the Tomb Raider. Released in 2016, this game has a proper Mac port and a built-in benchmark, allowing us to look at the M1 in a gaming scenario and compare it to some other Windows laptops. This game is admittedly slightly older, but its performance requirements are a good match for the kind of performance the M1 is designed to offer. Finally, it should be noted that this is an x86 game – it hasn’t been ported over to Arm – so the CPU side of the game is running through Rosetta.

At our 768p Value settings, the Mac Mini is delivering well over 60fps here. Once again it’s vastly ahead of the 2018 Intel-based Mac Mini, as well as every other integrated GPU in this stack. Even the 15-inch MBP and its Radeon Pro 560 are still trailing the Mac Mini by over 25%, and it takes a Ryzen laptop with a Radeon 560X to finally pull even with the Mac Mini.

Meanwhile cranking things up to 1080p with Enthusiast settings finds that the M1-based Mac Mini is still delivering just shy of 40fps, and it’s now over 20% ahead of the aforementioned Ryzen + 560X system. This does leave the Mini well behind the GTX 1650 here – with Rosetta and general API inefficiencies likely playing a part – but it goes to show what it takes to beat Apple’s integrated GPU. At 39.6fps, the Mac Mini is quite playable at 1080p with good image quality settings, and it would be fairly easy to knock down either the resolution or image quality a bit to get that back above 60fps. All on an integrated GPU.

Update 11-17, 7pm: Since the publication of this article, we've been able to get access to the necessary tools to measure the power consumption of Apple's SoC at the package and core level. So I've gone back and captured power data for GFXBench Aztec Ruins at High, and Rise of the Tomb Raider at Enthusiast settings.

Power Consumption - Mac Mini 2020 (M1)
  Rise of the Tomb Raider (Enthusiast) GFXBench Aztec
(High)
Package Power 16.5 Watts 11.5 Watts
GPU Power 7 Watts 10 Watts
CPU Power 7.5 Watts 0.16 Watts
DRAM Power 1.5 Watts 0.75 Watts

The two workloads are significantly different in what they're doing under the hood. Aztec is a synthetic test that's run offscreen in order to be as pure of a GPU test as possible. As a result it records the highest GPU power consumption – 10 Watts – but it also barely scratches the CPU cores virtually untouched (and for that matter other elements like the display controlller). Meanwhile Rise of the Tomb Raider is a workload from an actual game, and we can see that it's giving the entire SoC a workout. GPU power consumption hovers around 7 Watts, and while CPU power consumption is much more variable, it too tops out just a bit higher.

But regardless of the benchmark used, the end result is the same: the M1 SoC is delivering all of this performance at ultrabook-levels of power consumption. Delivering low-end discrete GPU performance in 10 Watts (or less) is a significant part of why M1 is so potent: it means Apple is able to give their small devices far more GPU horsepower than they (or PC OEMs) otherwise could.

Ultimately, these benchmarks are very solid proof that the M1’s integrated GPU is going to live up to Apple’s reputation for high-performing GPUs. The first Apple-built GPU for a Mac is significantly faster than any integrated GPU we’ve been able to get our hands on, and will no doubt set a new high bar for GPU performance in a laptop. Based on Apple’s own die shots, it’s clear that they spent a sizable portion of the M1’s die on the GPU and associated hardware, and the payoff is a GPU that can rival even low-end discrete GPUs. Given that the M1 is merely the baseline of things to come – Apple will need even more powerful GPUs for high-end laptops and their remaining desktops – it’s going to be very interesting to see what Apple and its developer ecosystem can do when the baseline GPU performance for even the cheapest Mac is this high.

Benchmarks: Whatever Is Available SPEC2006 & 2017: Industry Standard - ST Performance
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  • Spunjji - Monday, November 23, 2020 - link

    Not really - I don't own a Mac and don't ever plan to unless Boot Camp comes back. You're mistaken to assume I'm personally invested in this; I just don't like shitposters very much.
  • taligentia - Tuesday, November 17, 2020 - link

    Not sure what you're rambling about.

    Macbook Air, Mac Mini and the 13 MBP were always their low-end models.

    Wait until their iMac Pro, Mac Pro are released. It will truly shake up the professional market.
  • KoolAidMan1 - Tuesday, November 17, 2020 - link

    They're better at video editing, color correction, and image processing than other PCs.

    Show me a desktop PC that can scrub 8k video in DaVinci Resolve with no framedrops like the entry-level M1 in a 13" MBP can. Its exceedingly rare and incredibly expensive. I have a Threadripper workstation and am salivating at these
  • KoolAidMan1 - Tuesday, November 17, 2020 - link

    If this is "entry level" then I can't wait to see what their high end machines with 32GB+ of RAM look like next year
  • haghands - Tuesday, November 17, 2020 - link

    Did you look at a single benchmark? Are benchmarks too complicated for your single brain cell?
  • Silma - Tuesday, November 17, 2020 - link

    It's good to have more competition.
    However, let's temper these praises: 2 of the most paramount reasons explaining this chip speed are not apple: microarchitecture is ARM, production is TSMC 5 nm.

    The speed and power consumption of any Intel processor but made in 5 nm would be much similar to that of the M1.

    Even from AMD we can expect automatically much better results in 5 nm than in 7 nm.

    I would be very interested in seeing how competitive another ARM based TSCM 5 nm based SoC vs the M1. Perhaps from Qualcom or someone else.
  • Otritus - Tuesday, November 17, 2020 - link

    Tsmc's 5nm node offers about a 30 decrease in power consumption over 7nm. That would imply a 28-34 watt tdp at 7nm which still keeps it ahead in efficiency. In terms of performance, no AMD and Intel would not perform better on 5nm. There is no reason to believe the TSMC 5nm process can clock higher(or even as high) than the 7nm process. Since performance is equal to ipc times clock speed, a new microarchitecture would be needed to perform better. Apple has over a 50 percent ipc lead over intel and over a 40 percent ipc lead over AMD.
  • AlexDaum - Tuesday, November 17, 2020 - link

    An AMD or Intel CPU on 5nm would not gain performance by higher clock speeds, but gain it using a wider CPU design, larger caches, more ALUs, probably a better branch predictor and larger reorder buffer. The M1 has a whopping 16 billion transistors, AMD renoir only 9.6 billion, so they could add a lot more logic on the same chip size, which would lead to better performance.
    The biggest challenge with scaling x86 CPUs to higher performance seems to be building wide decoders (AMD and Intel only have 4 wide decode, M1 has 8 wide, 1 x86 instruction can do more than 1 ARM64 instruction, but not twice as much).
  • andreltrn - Tuesday, November 17, 2020 - link

    The problem with the X86 instruction set is that it has instruction of different size that don't match a wider architecture favorably. It is not that easy to achieve the high degree of parallelism of the M1 architecture with the X86 Instruction set. The 16 billions transistors are not only for the CPU and the GPU. There is a lot more in there! You can't compare the transistor count like that. This is a SOC.
  • Otritus - Wednesday, November 18, 2020 - link

    @AlexDaum

    1) As I said a new microarchitecture would be needed.

    2) Ice/tiger lake already has 5 decoders (4 simple + 1 complex), and tremont has 6 decoders (run as 2 sets of 3, but intel says it can run as 1 set of 6).

    3) Apples firestorm cores was designed for 2020 using the latest technology. Sunny cove was supposed to launch in 2017/18, with the next gen microarchitecture coming 2020/21. Intel also got lazy and didn't feel a need to speed up microarchitecture development and improve performance tremendously. So, intel is at 4/5 decoders with weak ipc compared to the competition.

    4) AMD is still at 4 decoders because they have a limited engineering budget and need to focus on getting the best ROI. I would imagine zen 4 or zen 5 would look into going much wider because lots of the other performance enhancing routes have already been investigated, and AMD is in a better financial situation.

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