The Apple A15 SoC Performance Review: Faster & More Efficientby Andrei Frumusanu on October 4, 2021 9:30 AM EST
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- Apple A15
CPU ST Performance: Faster & More Efficient
Starting off with this year’s review of the A15, in order to have a deeper look at the CPU single-threaded performance and power efficiency, we’re migrating over to SPEC CPU 2017. While 2006 has served us well over the years and is still important and valid, 2017 is now better understood in terms of its microarchitectural aspects in its components, and becoming more relevant as we moved our desktop side coverage to the new suite some time ago.
One continuing issue with SPEC CPU 2017 is the Fortran subtests; due to a lacking compiler infrastructure both on iOS and Android, we’re skipping these components entirely for mobile devices. What this means also, is that the total aggregate scores presented here are not comparable to the full suite scores on other platforms, denoted by the (C/C++) subscript in the score descriptions.
As always, because we’re running completely custom harnesses and not submitting the scores officially to SPEC, we have to denote the results as “estimates”, although we have high confidence in the accuracy.
In terms of compiler settings, we’re continuing to employ simple
-Ofast flags without further changes, to be able to get the best cross-platform comparisons possible. On the iOS side of things, we’re running on the newest XCode 13 build tools, while on Android we’re running the NDKr23 build tools.
In terms of performance and efficiency details, we’re swapping the graphs around a bit from now on – on the left axis we have the performance scores of the tests – larger bars here mean better performance. On the right-side axis, growing from right to left are the energy consumption figures for the platforms, the smaller the figure, the more energy efficient (less energy consumed) a workload was completed. Alongside the energy figure in Joules, we’re also showcasing the average power figure in Watts.
Starting off with the performance figures of the A15, we’re seeing increases across the board, with absolute performance going up from a low of 2.5% to a peak of +37%.
The lowest performance increases were found in 505.mcf_r, a more memory latency sensitive workload; given the increased L2 latency as well as slightly higher DRAM latency, it doesn’t come too unexpected to see a more minor performance increase. However, when looking at the power and efficiency metrics of the same workload, we see the A15 use up almost 900mW less than the A14, with energy efficiency improving by +22%. 520.omnetpp_r saw the biggest individual increase at +37% performance – power here went up a bit, but energy efficiency is also up 24%.
The smallest performance gains of the A15 are found in the most back-end execution bound workloads, 525.x264_r and 538.imagick_r improve by only 8.7%, resulting in an IPC increase of 0.6% - essentially within the realm of measurement noise. Still, even here in this worst performance case, Apple still managed to improve energy efficiency by +13%, as the new chip is using less absolute power even though clock frequencies have gone up.
The most power demanding workload, 519.lbm_r, is extremely bandwidth hungry and stresses the DRAM the most in the suite, with the A15 chip here eating a whopping 6.9W of power. Still, energy efficiency is generationally slightly improved as performance goes up by 17.9% - based on first teardown reports, the A15 is still only powered by LPDDR4X-class memory, so these improvements must be due to the chip’s new memory subsystem and new SLC.
Shifting things over to the efficiency cores, I wanted to make comparisons not only to the A14’s E-cores, but also put the Apple chips in context to the competition, a Snapdragon 888 in this context, comparing against a 2.41GHz Cortex-A78 mid-core, as well as a 1.8GHz Cortex-A55 little core.
The A15’s E-cores are extremely impressive when it comes to performance. The minimum improvement varies from +8.4 in the 531.deepsjeng_r, essentially flat up with clocks, to up to again +46% in 520.omnetpp_r, putting more evidence into some sort of large effective sparse memory access parallelism improvement for the chip. The core has a median performance improvement of +23%, resulting in a median IPC increase of +11.6%. The cores here don’t showcase the same energy efficiency improvement as the new A15’s performance cores, as energy consumption is mostly flat due to performance increases coming at a cost of power increases, which are still very much low.
Compared to the Snapdragon 888, there’s quite a stark juxtaposition. First of all, Apple’s E-cores, although not quite as powerful as a middle core on Android SoCs, is still quite respectable and does somewhat come close to at least view them in a similar performance class. The comparison against the little Cortex-A55 cores is more absurd though, as the A15’s E-core is 3.5x faster on average, yet only consuming 32% more power, so energy efficiency is 60% better. Even for the middle cores, if we possibly were to down-clock them to match the A15’s E-core’s performance, the energy efficiency is multiple factors off what Apple is achieving.
In the overview graph, I’m also changing things a bit, and moving to bubble charts to better spatially represent the performance to energy efficiency positioning, as well as the performance to power positioning. In the energy axis graphs, which I personally find to be more representative of the comparative efficiency and resulting battery life experiences of the SoCs, we see the various SoCs at their peak CPU performance states versus the total energy consumed to complete the workloads. On the power axis graphs, we see the same data, only plotted against average power. Generally, I find distinction of efficiency here to be quite harder between the various data-points, however some readers have requested this view. The bubble size corresponds to the average power of the various CPUs, we’re measuring system active power, meaning total device workload power minus idle power, to compensate components such as the display.
Apple A15 performance cores are extremely impressive here – usually increases in performance always come with some sort of deficit in efficiency, or at least flat efficiency. Apple here instead has managed to reduce power whilst increasing performance, meaning energy efficiency is improved by 17% on the peak performance states versus the A14. If we had been able to measure both SoCs at the same performance level, this efficiency advantage of the A15 would grow even larger. In our initial coverage of Apple’s announcement, we theorised that the company might possibly invested into energy efficiency rather than performance increases this year, and I’m glad to see that seemingly this is exactly what has happened, explaining some of the more conservative (at least for Apple) performance improvements.
On an adjacent note, with a score of 7.28 in the integer suite, Apple’s A15 P-core is on equal footing with AMD’s Zen3-based Ryzen 5950X with a score of 7.29, and ahead of M1 with a score of 6.66.
The A15’s efficiency cores are also massively impressive – at peak performance, efficiency is flat, but they’re also +28% faster. Again, if we would be able to compare both SoCs at the same performance level, the efficiency advantage of the A15’s E-cores would be very obvious. The much better performance of the E-cores also massively helps avoiding the P-cores, further improving energy efficiency of the SoC.
Compared to the competition, the A15 isn’t +50 faster as Apple claims, but rather +62% faster. While Apple’s larger cores are more power hungry, they’re still a lot more energy efficient. Granted, we are seeing a process node disparity in favour of Apple. The performance and efficiency of the A15 E-cores also put to shame the rest of the pack. The extremely competent performance of the 4 efficiency cores alongside the leading performance of the 2 big cores explain the significantly better multi-threaded performance than the 1+3+4 setups of the competition.
Overall, the new A15 CPUs are substantial improvements, even though that’s not immediately noticeable to some. The efficiency gains are likely key to the new vastly longer battery longevity of the iPhone 13 series phones – more on that in a dedicated piece in a few days, and in our full device review.
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haukionkannel - Monday, October 4, 2021 - linkWell A14 was already very fast so making A15 more efficient was right call! IMHO
I need longer battery life and if these changes give that. The better!
herozeros - Monday, October 4, 2021 - linkGranted I’m coming from an Xs, but battery on my 13 pro is nothing short of incredible.
13xforever - Monday, October 4, 2021 - linkSame, upgraded from Xs to 13 Pro and now I charge once every two days on average, and Xs had amazing battery life compared to 6s before it as well, so let's hope the trend continues.
Kangal - Monday, October 4, 2021 - linkI think ProMotion takes its toll, but the new (LTPO) display should be more efficient. And the previous 5G antenna has probably been improved for better reception and less power drain. Combine these with the efficiency gains from the CPU/GPU and it adds up. Then there's the noticeable increase in battery capacity.
All in all, I'm expecting the iPhone 13 models to have slightly less battery life than their iPhone 11 and iPhone 12 devices... but do it all while being faster and using the display in 120Hz Mode. And when it comes to certain Apps, I think it will scale down to 60Hz or 30Hz or even 1Hz, and save plenty of power... which should see the iPhone 13 embarrass its siblings. These were my predictions during the announcement, before this article.
But Andrei says he's got all the data, so we will see if my predictions/deductions were even remotely close in the coming week in the next article.
Trackster11230 - Monday, October 4, 2021 - linkI'm expecting the battery life to be better than both. The LTPO and reduction in screen Hz should enable better battery savings (I'm assuming more time is spent at 10 Hz [the lowest; it can't do 1 Hz], than at 120 Hz).
Either way, it's been a significant jump in battery life from my X.
markiz - Monday, October 11, 2021 - linkIncredible compared to XS, or in general?
Why do iPhones have such poor battery when put through a standardized workload, like e.g. gsmarena?
Wrs - Thursday, October 14, 2021 - linkAs GSMarena wrote in the iPhone 13 review, it's primarily because of low call/standby efficiency. That's understandable because the cellular chip is discrete; most the comparison phones have it integrated and some stick to LTE only. Inasmuch as 89h for the normal 13 is over 3 days and nothing to complain of, their modeling for 1 hour each of calls, web surfing, and video each day is also a tad unrealistic for many. With more active use on wifi the battery life becomes way more competitive
michael2k - Friday, October 15, 2021 - linkAnandtech's standardized workload disagrees with you:
iPhone 13 Pro from 2021: 16.62
iPhone 11 Pro from 2019: 13.33 hours
Xiaomi Mi 10 Pro 2020: 12.96 hours
iPhone 12 Pro from 2021: 12.95 hours
iPhone XR from 2018: 12.95 hours
Galaxy S21 from 2021: 12.86 hours
iPhone 12 from 2020: 12.53 hours
Xiaomi Mi 11 Ultra 2021: 11.70
Xiaomi Mi 11 2020: 11.63 hours
deil - Monday, October 4, 2021 - linkI am still not happy about their battery life, as andro phones get 150% more even on cheap devices.
when they give you 3500 mah, and ando can get up to 18000 mah, something needs to be said.
Interesting result from S21U, 2.9W for 75 frames, seems like very good result, is it locked by something ? that chip can go just as high as a15 can, wattage-wise, what's happened there ?
Stuka87 - Monday, October 4, 2021 - linkDeil, not sure where you saw a phone with an 18,000mAh battery, it would have to be the size of a tablet to get anywhere close to that big. Even the Galaxy Note, which is pretty large, has a 4000 mAh battery. iPhones consistently score well in battery life tests, even against Androids with much larger batteries.