CPU ST Performance: Not Much Change from M1

Apple didn’t talk much about core performance of the new M1 Pro and Max, and this is likely because it hasn’t really changed all that much compared to the M1. We’re still seeing the same Firestrom performance cores, and they’re still clocked at 3.23GHz. The new chip has more caches, and more DRAM bandwidth, but under ST scenarios we’re not expecting large differences.

When we first tested the M1 last year, we had compiled SPEC under Apple’s Xcode compiler, and we lacked a Fortran compiler. We’ve moved onto a vanilla LLVM11 toolchain and making use of GFortran (GCC11) for the numbers published here, allowing us more apple-to-apples comparisons. The figures don’t change much for the C/C++ workloads, but we get a more complete set of figures for the suite due to the Fortran workloads. We keep flags very simple at just “-Ofast” and nothing else.

SPECint2017 Rate-1 Estimated Scores

In SPECint2017, the differences to the M1 are small. 523.xalancbmk is showcasing a large performance improvement, however I don’t think this is due to changes on the chip, but rather a change in Apple’s memory allocator in macOS 12. Unfortunately, we no longer have an M1 device available to us, so these are still older figures from earlier in the year on macOS 11.

Against the competition, the M1 Max either has a significant performance lead, or is able to at least reach parity with the best AMD and Intel have to offer. The chip however doesn’t change the landscape all too much.

SPECfp2017 Rate-1 Estimated Scores

SPECfp2017 also doesn’t change dramatically, 549.fotonik3d does score quite a bit better than the M1, which could be tied to the more available DRAM bandwidth as this workloads puts extreme stress on the memory subsystem, but otherwise the scores change quite little compared to the M1, which is still on average quite ahead of the laptop competition.

SPEC2017 Rate-1 Estimated Total

The M1 Max lands as the top performing laptop chip in SPECint2017, just shy of being the best CPU overall which still goes to the 5950X, but is able to take and maintain the crown from the M1 in the FP suite.

Overall, the new M1 Max doesn’t deliver any large surprises on single-threaded performance metrics, which is also something we didn’t expect the chip to achieve.

Power Behaviour: No Real TDP, but Wide Range CPU MT Performance: A Real Monster
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  • dada_dave - Monday, October 25, 2021 - link

    Ah so. The Apple GPU takes a bit longer than others to ramp up which doesn't actually affect any real workloads, but does for GB because it's too short. Have I got it?
  • dada_dave - Monday, October 25, 2021 - link

    But why aren't the smaller Apple GPU's seemingly as affected? The larger one takes more time to spin up to peak?
  • zony249 - Monday, October 25, 2021 - link

    Smaller GPUs take longer to finish each task, thus has the time to clock all the way up
  • dada_dave - Tuesday, October 26, 2021 - link

    That’s not it as that would apply to Nvidia and AMD GPUs too and it doesn’t (well not until those GPUs get *really* big). Ryan confirmed on Twitter the Max just doesn’t ramp it’s clocks up quite as fast and while most workloads won’t notice the difference, GB workloads are small enough that they do.
  • sirmo - Monday, October 25, 2021 - link

    But if the Apple GPU takes a bit longer so do other dGPU. So why are we using this benchmark?
  • tipoo - Monday, October 25, 2021 - link

    Definitely interested to hear more about that. So Max has a delayed onset burst? Kind of unlike their GPU behavior before this.
  • neogodless - Monday, October 25, 2021 - link

    On page 5, you have four paragraphs duplicated starting with "The fp2017 suite has more workloads..."
  • Andrei Frumusanu - Monday, October 25, 2021 - link

    Thanks, edited.
  • unclevagz - Monday, October 25, 2021 - link

    On Page 5, why does the spec2017 estimated totals have two 11900Ks?
  • Andrei Frumusanu - Monday, October 25, 2021 - link

    Edited, graph bug.

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