SPEC2006 & 2017: Industry Standard - ST Performance

Single-threaded performance of the new M1 is certainly one of its key aspects, where the new Firestorm cores definitely punch far above their power class. We had hinted in our preview A14 analysis article that the M1 may well be ending up as not only the top-performing low-power mobile CPU out there, but actually end up as the top-performing absolute performance amongst all CPUs in the market. The A14 fell short of that designation, but the M1 is an even faster implementation of the new Firestorm cores.

It’s to be noted that we’re comparing the M1 to the absolute best desktop and laptop platforms on the market right now, solely looking at absolute best single-threaded performance.

SPECint2006 Speed Estimated Scores

In SPECint2006, we’re now seeing the M1 close the gap to AMD’s Zen3, beating it in several workloads now, which increasing the gap to Intel’s new Tiger Lake design as well as their top-performing desktop CPU, which the M1 now beats in the majority of workloads.

Since our A14 results, we’ve been able to track down Apple’s compiler setting which increases the 456.hmmer by such a dramatic amount – Apple defaults the “-mllvm -enable-loop-distribute=true” in their newest compiler toolchain whilst it needs to be enabled on third-party LLVM compilers. A 5950X with the flag enabled increases its score to 91.64, but also while seeing some regressions in other tests. We haven’t had time to re-test further platforms.

The M1’s performance boost in 462.libquantum is due to the increased L2 cache, as well as the doubled memory bandwidth of the system, something that this workload is very hungry of.

SPECfp2006(C/C++) Speed Estimated Scores

In the fp2006 workloads, we’re seeing the M1 post very large performance boosts relative to the A14, meaning that it now is able to claim the best performance out of all CPUs being compared here.

SPEC2006 Speed Estimated Total

In the overall score, the M1 increases the scores by 9.5% and 17% over the A14. In the integer score, the M1 takes the lead here, although if we were to account for the 456.hmmer discrepancy it would still favour the Zen3-based 5950X. In the floating-point score however, the Apple M1 now takes a large lead ahead, making it the best performing CPU core.

We’ve had a lot arguments about whether 2006 is relevant or not in today’s landscape. We have practical reasons for not yet running SPEC2017 on mobile devices, but given that the new Apple Silicon M1 runs on macOS, these concerns are not valid, thus enabling us to also run the more modern benchmark suite.

It’s to be noted that currently we do not have a functional Fortran compiler on Apple Silicon macOS systems, thus we have to skip several workloads in the 2017 suite, which is why they’re missing from the graphs. We’re concentrating on the remaining C/C++ workloads.

SPECint2017(C/C++) Rate-1 Estimated Scores

The situation doesn’t change too much with the newer SPECint2017 suite. Apple’s Firestorm core here remains extremely impressive, at worst matching up Intel’s new Tiger Lake CPU in single-threaded performance, and at best, keeping up and sometimes beating AMD’s new Zen3 CPU in the new Ryzen 5000 chips.

Apple’s performance is extremely balanced across the board, but what stands out is the excellent 502.gcc_r performance where it takes a considerable leap ahead of the competition, meaning that the new Apple core does extremely well on very complex code and code compiling.

SPECfp2017(C/C++) Rate-1 Estimated Scores

In SPECfp2017, we’re seeing something quite drastic in terms of the scores. The M1 here at worst is a hair-width’s behind AMD’s Zen3, and at best is posting the best absolute performance of any CPU in the market. These are incredible scores.

SPEC2017(C/C++) Rate-1 Estimated Total

In the overall new SPEC2017 int and fp charts, the Apple Silicon M1 falls behind AMD’s Zen3 in the integer performance, however takes an undisputable lead in the floating-point suite.

Compared to the Intel contemporary designs, the Apple M1 is able to showcase a performance leap ahead of the best the company has to offer, with again a considerable strength in the FP score.

While AMD’s Zen3 still holds the leads in several workloads, we need to remind ourselves that this comes at a great cost in power consumption in the +49W range while the Apple M1 here is using 7-8W total device active power.

M1 GPU Performance: Integrated King, Discrete Rival SPEC2017 - Multi-Core Performance
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  • Ppietra - Tuesday, November 24, 2020 - link

    Sorry, but no! What you showed for the 4800U isn’t the power draw of the computer, it’s the power draw of a processor doing a completely different test in an unnamed computer in unknown settings. Not to mention that this M1 analysis is with a desktop computer not a laptop. Why are you trying to deceive?
    If you want to see computer power consumption go to Tally Ho Tech youtube channel, you will see how a laptop with the 4800U consumes around 3 times more in Cinebench than a laptop with a M1 chip.
  • BushLin - Tuesday, November 24, 2020 - link

    Oh... I have to wade through some random YouTube channel to see some other flawed comparison? If you can link to an objective test showing actual power draw, post the link.
  • Ppietra - Tuesday, November 24, 2020 - link

    hmmm! So you complain about a channel doing a straightforward comparison in similar conditions, but you have no problems in using different kinds of power consumption from completely different tests to validate your "theory". Grand!!
    For the record thunng8 links shows you the power consumption of the M1 in a Cinebench test done by Anandtech’ author.
  • BushLin - Tuesday, November 24, 2020 - link

    No, I'm continuing to complain that you don't post a link to your evidence, I'm not sitting through every YouTube video of some random when in the next breath you refer again to a forum post linked by thunng8 which is for a different, 4700U CPU.
    No amount of FUD changes the fact that the M1 is great at single thread, especially for the power but isn't the Jesus CPU you dream it to be in multithreaded workloads.
    Put up or shut up.
  • Ppietra - Tuesday, November 24, 2020 - link

    I have said nothing about a 4700U CPU nor referred to links to talk about AMD CPUs. I very clearly only mentioned M1 data when referring to thunng8 links. Neither have I said that the M1 had the highest performance of all, I only talked about power consumption.
    https://www.youtube.com/watch?v=wuvZQOUDCKY
  • BushLin - Tuesday, November 24, 2020 - link

    Great YouTube video, didn't measure the power draw. Yet you're the one throwing around words like deceive.
  • Ppietra - Tuesday, November 24, 2020 - link

    Didn’t measure the power draw? Really?
    So showing battery level change after 10 minute Cinebench test, with known battery capacities, isn’t sufficient data to determine approximate power draw? Not even enough to give you an idea? A little bit of basic math, then!
    16% drop in a 60.7Wh battery gives 9.7Wh of energy use for the AMD laptop. If you prefer in watts, since it was a 10 minute run that gives 58W.
    6% drop in a 58Wh battery gives 3.5Wh of energy used for the MacBook Pro. In a 10 minute run that gives 21W, to do the same task.
    From a previous video the Cinebench MT scores were 9976 for AMD and 7800 for the MacBook.
    If you normalize energy consumption to the Cinebench score, that would mean the MacBook Pro consumes less than half for the same performance!
  • BushLin - Tuesday, November 24, 2020 - link

    What are the cinebench results when running on battery? What is the battery's actual capacity and how fast does it drain when fully loaded? How does the system report battery percentage vs voltage of the cells? How much power does the screen consume? Can you trust the person making the video to be thorough and objective?
    Could go on and on, or just stick a $15 meter on the AC plug and actually measure it.
  • Ppietra - Tuesday, November 24, 2020 - link

    ?? I gave you the Cinebench results. I gave the actual battery capacity, I gave how much it drained when running Cinebench and in what time interval - it is all in the videos!
    How much power does the screen consume??? REALLY!!!? For someone who argued for the use of "power measurement" "at the wall rather than just the SoC " to now come and argue against measuring the battery power drain in a 10 minutes test it is laughable. Even more so when in the end you make another U turn and just argue about measuring power at the plug - so the screen doesn’t matter now!??
    Just face reality M1 power consumption has been measured at 15W in Cinebench, by Anandtech. 4800U power consumption can go higher than 25W since it can be boosted to 35W.
  • BushLin - Tuesday, November 24, 2020 - link

    Since you're either a troll or insane, I'm not going to expend any further effort beyond answering this:
    "Just face reality M1 power consumption has been measured at 15W in Cinebench, by Anandtech"

    With this:
    https://images.anandtech.com/graphs/graph16252/119...

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