Amongst the new iPad and Watch devices released today, Apple made news in releasing the new A14 SoC chip. Apple’s newest generation silicon design is noteworthy in that is the industry’s first commercial chip to be manufactured on a 5nm process node, marking this the first of a new generation of designs that are expected to significantly push the envelope in the semiconductor space.

Apple’s event disclosures this year were a bit confusing as the company was comparing the new A14 metrics against the A12, given that’s what the previous generation iPad Air had been using until now – we’ll need to add some proper context behind the figures to extrapolate what this means.

On the CPU side of things, Apple is using new generation large performance cores as well as new small power efficient cores, but remains in a 2+4 configuration. Apple here claims a 40% performance boost on the part of the CPUs, although the company doesn’t specify exactly what this metric refers to – is it single-threaded performance? Is it multi-threaded performance? Is it for the large or the small cores?

What we do know though is that it’s in reference to the A12 chipset, and the A13 already had claimed a 20% boost over that generation. Simple arithmetic thus dictates that the A14 would be roughly 16% faster than the A13 if Apple’s performance metric measurements are consistent between generations.

On the GPU side, we also see a similar calculation as Apple claims a 30% performance boost compared to the A12 generation thanks to the new 4-core GPU in the A14. Normalising this against the A13 this would mean only an 8.3% performance boost which is actually quite meagre.

In other areas, Apple is boasting more significant performance jumps such as the new 16-core neural engine which now sports up to 11TOPs inferencing throughput, which is over double the 5TOPs of the A12 and 83% more than the estimated 6TOPs of the A13 neural engine.

Apple does advertise a new image signal processor amongst new features of the SoC, but otherwise the performance metrics (aside from the neural engine) seem rather conservative given the fact that the new chip is boasting 11.8 billion transistors, a 38% generational increase over the A13’s 8.5bn figures.

The one explanation and theory I have is that Apple might have finally pulled back on their excessive peak power draw at the maximum performance states of the CPUs and GPUs, and thus peak performance wouldn’t have seen such a large jump this generation, but favour more sustainable thermal figures.

Apple’s A12 and A13 chips were large performance upgrades both on the side of the CPU and GPU, however one criticism I had made of the company’s designs is that they both increased the power draw beyond what was usually sustainable in a mobile thermal envelope. This meant that while the designs had amazing peak performance figures, the chips were unable to sustain them for prolonged periods beyond 2-3 minutes. Keeping that in mind, the devices throttled to performance levels that were still ahead of the competition, leaving Apple in a leadership position in terms of efficiency.

What speaks against such a theory is that Apple made no mention at all of concrete power or power efficiency improvements this generation, which is rather very unusual given they’ve traditionally always made a remark on this aspect of the new A-series designs.

We’ll just have to wait and see if this is indicative of the actual products not having improved in this regard, of it’s just an omission and side-effect of the new more streamlined presentation style of the event.

Whatever the performance and efficiency figures are, what Apple can boast about is having the industry’s first ever 5nm silicon design. The new TSMC-fabricated A14 thus represents the cutting-edge of semiconductor technology today, and Apple made sure to mention this during the presentation.

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  • SarahKerrigan - Tuesday, September 15, 2020 - link

    "On the CPU side of things, Apple is using new generation large performance cores as well as new small power efficient cores, but remains in a 2+6 configuration."

    Surely you meant 2+4?
    Reply
  • Andrei Frumusanu - Tuesday, September 15, 2020 - link

    Yes, typo. Reply
  • Kangal - Wednesday, September 16, 2020 - link

    I hope they can make the switch to a 3+5 configuration.
    What do you think about something like that?
    Reply
  • tkSteveFOX - Thursday, September 17, 2020 - link

    As long as the 2 cores push more threads and ipc than the previous gen, who cares if there are more or less of them? For an ultra low power device, keeping the number of cores as low as possible is key to better sustained performance and keeping the die size as small as possible. Reply
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  • tipoo - Tuesday, September 15, 2020 - link

    If the A14 was going for efficiency to offset ProMotion, that I would easily be forgiving of and would really want that. But it sounds like we're also not getting ProMotion this year, plus a smaller than usual chip upgrade. Unless you really wanted 5G this year (and why? It's slower than 4G in many of the few places it is available right now), it's sounding like a wait till next year year. Reply
  • caribbeanblue - Tuesday, September 15, 2020 - link

    Don’t forget that the increase in the transistor budget they get every year isn’t always spent on the CPU and GPU. It’s clear that a large portion of that transistor budget has gone to the new 16-core Neural Engine and new ISP for the camera, though not for the iPad Air Reply
  • tipoo - Tuesday, September 15, 2020 - link

    Yes this is true. Maybe they see ML as a greater bang for your buck return with the given silicon budget this year. Reply
  • ikjadoon - Tuesday, September 15, 2020 - link

    This is genuinely befuddling to me. What on Earth sort of "value-add" are the Neural Engines adding here? It's not just Apple, but Samsung, Huawei, Qualcomm, etc.

    They're far too early for their time. We're wasting 10 to 20% of the transistor budget for a feature you'll never use over the lifetime of the device. It's like 8 GB of VRAM on a $100 GPU. Why?

    Can anyone name even five common apps that rely on high-performance neural engines? What, ever-so-slightly improved autocorrect? Undetectably better Siri? A few milliseconds faster Search?

    The only possible use-case for mainstream consumers seems to be computational photography. Meanwhile, literally every application and all games would benefit from faster & larger CPUs and GPUs.
    Reply

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