As expected from this year’s iPhone keynote, Apple has announced a new member of their internally developed family of ARM SoCs.

The latest SoC, dubbed A8, is Apple’s first SoC built on the 20nm process, and among the first SoCs overall to be built on this process. Apple notes that it has 2 billion transistors and is 13% smaller than the A7, which would give it upwards of twice as many transistors as the A7 and would put the die size at about 89mm2.


Image courtesy The Verge

From a performance perspective Apple is promising 25% faster CPU performance than A7. As is usually the case with Apple, they aren’t talking about the underlying CPU core – though this is a problem we’re working to rectify – so it remains to be seen how much of this is due to CPU architectural upgrades and how much is from clockspeed improvements afforded by the 20nm process. Apple just introduced their 64bit Cyclone core last year, so it stands to reason that just a year later and with the transition to 64bit already completed, A8 packs a CPU that is similar to Cyclone.

Apple SoC Evolution
  CPU Perf GPU Perf Die Size Transistors Process
A5 ~13x ~20x 122m2 <1B 45nm
A6 ~26x ~34x 97mm2 <1B 32nm
A7 40x 56x 102mm2 >1B 28nm
A8 50x 84x 89mm2 ~2B 20nm

Meanwhile Apple is being even less specific about the GPU, but from their published baseline performance comparisons against the iPhone 1, the A8 is said to be 84x faster on graphics. This compares to a published figure of 56x for the A7, which implies that the A8’s GPU is 1.5x faster than the A7’s. Given Apple’s conservative stance on clockspeeds for power purposes and the die space gains from the 20nm process, it seems likely that Apple has upgraded from a 4 core PowerVR GPU to a 6 core PowerVR GPU, likely the flagship GX6650, which would account for the 50% performance gain right there.

Finally, Apple notes that the A8 is designed to be 50% more energy efficient than the A7. Some of these efficiency gains would come from gains due the 20nm process, however this large of a gain would indicate that Apple has done additional work at the architectural level to improve efficiency, as smaller manufacturing nodes alone do not see these kinds of gains.

Update: We have posted our initial A8 analysis here

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  • dragonsqrrl - Tuesday, September 9, 2014 - link

    Thanks, if they do stay on 1GB, that would be truly disappointing... and perplexing. Reply
  • Stochastic - Tuesday, September 9, 2014 - link

    If they upgraded to 2GB I don't see why they would remain mum. $600 for a phone with 16GB of NAND and 1GB of RAM in late 2014 seems kind of ridiculous. Reply
  • dragonsqrrl - Tuesday, September 9, 2014 - link

    I just can't believe they would stay on 1GB, that would be unprecedented, even for Apple. They usually double memory capacity on their non-S generations. Reply
  • QuantumKot - Tuesday, September 9, 2014 - link

    Apparently A8 supports H.265 for FaceTime (and maybe not only). Is it the first phone with the advance codec? Reply
  • Lezmaka - Tuesday, September 9, 2014 - link

    Is there anyone on staff there that will be able to do the kinds of things Anand used to do with investigating the architecture of the A8, etc.? Reply
  • Ryan Smith - Tuesday, September 9, 2014 - link

    Yes (that would be me). Reply
  • hypopraxia - Tuesday, September 9, 2014 - link

    That honestly cracked me up for a good 30 secs. Reply
  • tipoo - Tuesday, September 9, 2014 - link

    We need instruction widths and pipeline depths, damn it!
    :P
    Reply
  • BillBear - Tuesday, September 9, 2014 - link

    Let's not forget that one of the big drives for Android L is to ditch Dalvik for ART where one of the large benefits will be to reduce Android memory bloat. Try not to get upset that iOS doesn't need 3 Gigs of RAM to function. Reply
  • frostyfiredude - Tuesday, September 9, 2014 - link

    It does seem to want 2GB with these 64 bit versions though. It shows because tasks are dropped and tabs fall out of memory rather quickly. That's with iOS 7; iOS 8 adds a pile of new features like extensions that will increase memory pressure further. Reply

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