Working on analyzing various Apple SoCs over the years has become a process of delightful frustration. Apple’s SoC development is consistently on the cutting edge, so it’s always great to see something new, but Apple has also developed a love for curveballs. Coupled with their infamous secrecy and general lack of willingness to talk about the fine technical details of some of their products, it’s easy to see how well Apple’s SoCs perform but it is a lot harder to figure out why this is.

Since publishing our initial iPad Air 2 review last week, a few new pieces of information have come in that have changed our perspective on Apple’s latest SoC. As it turns out I was wrong. Powered by what we’re going to call the GXA6850, the A8X’s GPU is even better than I thought.

Apple SoC Comparison
  A8X A8 A7 A6X
CPU 3x "Enhanced Cyclone" 2x "Enhanced Cyclone" 2x Cyclone 2x Swift
CPU Clockspeed 1.5GHz 1.4GHz 1.4GHz (iPad) 1.3GHz
GPU Apple/PVR GXA6850 PVR GX6450 PVR G6430 PVR SGX554 MP4
Memory Bus Width 128-bit 64-bit 64-bit 128-bit
Memory Bandwidth 25.6GB/sec 12.8GB/sec 12.8GB/sec 17.1GB/sec
L2 Cache 2MB 1MB 1MB 1MB
L3 Cache 4MB 4MB 4MB N/A
Transistor Count ~3B ~2B >1B N/A
Manufacturing Process TSMC(?) 20nm TSMC 20nm Samsung 28nm Samsung 32nm

Briefly, without a public die shot of A8X we have been left to wander through the dark a bit more than usual on its composition. A8X’s three “Enhanced Cyclone” CPU cores and 2MB of L2 cache were easy enough to discover, as the OS will cheerfully report those facts. However the GPU is more of an enigma since the OS does not report the GPU configuration and performance is a multi-variable equation that is reliant on both GPU clockspeed and GPU width (the number of clusters). Given Apple’s performance claims and our own benchmarks we believed we had sufficient information to identify this as Imagination’s PowerVR GX6650, the largest of Imagination’s GPU designs.

Since then, we have learned a few things that have led us to reevaluate our findings and discover that A8X’s GPU is even more powerful than GX6650. First and foremost, on Monday Imagination announced the PowerVR Series7 GPUs. Though not shipping for another year, we learned from Imagination’s announcement that Series7XT scales up to 16 clusters, twice the number of clusters as Series6XT. This immediately raises a red flag since Imagination never released an 8 cluster design – and indeed is why we believed it was GX6650 in the first place – warranting further investigation. This revelation meant that an 8 cluster design was possible, though by no means assured.

PowerVR Series7XT: Up 16 Clusters, Twice As Many As Series6XT

The second piece of information came from analyzing GFXBench 3.0 data to look for further evidence. While we don’t publish every single GFXBench subtest in our reviews, we still collect the data for Bench and for internal use. What we noticed is that the GFXBench fill rate test is showing more than double the performance of the A8 iPhone 6 Plus. Keeping in mind that performance here is a combination of width and clockspeed, fillrate alone does not prove an 8 cluster design or a 6 cluster design, only that the combination of width and clockspeeds leads to a certain level of performance. In other words, we couldn’t rule out a higher clocked GX6650.

GFXBench 3.0 Fill Rate Test (Offscreen)

At the same time in the PC space the closest equivalent fillrate test, 3DMark Vantage’s pixel fill test, is known to be constrained by memory bandwidth as much as or more than it is GPU performance (this leading to the GTX 980’s incredible fillrate). However as we have theorized and since checked with other sources, GFXBench 3.0’s fillrate test is not bandwidth limited in the same way, at least not on Apple’s most recent SoCs. Quite possibly due to the 4MB of SRAM that is A7/A8/A8X’s L3 cache, this is a relatively “pure” test of pixel fillrate, meaning we can safely rule out any other effects.

With this in mind, normally Apple has a strong preference for wide-and-slow architectures in their GPUs. High clockspeeds require higher voltages, so going wide and staying with lower clockspeeds allows Apple to conserve power at the cost of some die space. This is the basic principle behind Cyclone and it has been the principle in Apple’s GPU choices as well. Given this, one could reasonably argue that A8X was using an 8 cluster design, but even with this data we were not entirely sure.

The final piece of the puzzle came in this afternoon when after some additional poking around we were provided with a die shot of A8X. Unfortunately at this point we have to stop and clarify that as part of our agreement with our source we are not allowed to publish this die shot. The die shot itself is legitimate, coming from a source capable of providing such die shots, however they didn’t wish to become involved in the analysis of the A8X and as a result we were only allowed to see it so long as we didn’t publish it.

Update: Chipworks has since published their A8X die shot, which we have reproduced below

To get right down to business then, the die shot confirms what we had begun suspecting: that A8X has an 8 cluster Series6XT configuration. All 8 GPU clusters are clearly visible, and perhaps unsurprisingly it looks a lot like the GPU layout of the GX6450. To put it in words, imagine A8’s GX6450 with another GX6450 placed right above it, and that would be the A8X’s 8 cluster GPU.

Chipworks A8X Die Shot

With 8 clearly visible GPU clusters, there is no question at this point that A8X is not using a GX6650, but rather something more. And this is perhaps where the most interesting point comes up, due to the fact that Imagination does not have an official 8 cluster Series6XT GPU design. While Apple licenses PowerVR GPU cores, not unlike their ARM IP license they are free to modify the Imagination designs to fit their needs, resulting in an unusual semi-custom aspect to their designs (and explaining what Apple has been doing with so many GPU engineers over the last couple of years). In this case it appears that Apple has taken the GX6450 design and created a new design from it, culminating in an 8 cluster Series6XT design. Officially this design has no public designation – while it’s based on an Imagination design it is not an official Imagination design, and of course Apple doesn’t reveal codenames – but for the sake of simplicity we are calling it the GXA6850.

Imagination/Apple PowerVR Series6XT GPU Comparison
  GXA6850 GX6650 GX6450 GX6250
Clusters 8 6 4 2
FP32 ALUs 256 192 128 64
FP32 FLOPs/Clock 512 384 256 128
FP16 FLOPs/Clock 1024 768 512 256
Pixels/Clock (ROPs) 16 12 8 4
Texels/Clock 16 12 8 4
OpenGL ES 3.1 3.1 3.1 3.1

Other than essentially doubling up on GX6450s, the GXA6850 appears to be unchanged from the design we saw in the A8. Apple did the necessary interconnect work to make an 8 cluster design functional and made their own power/design optimizations throughout the core, but there do not appear to be any further surprises in this GPU design. So what we have is an Apple variant on a Series6XT design, but something that is clearly a semi-custom Series6XT design and not a full in-house custom GPU design.

Unofficial GXA6850 Logical Diagram

Meanwhile the die shot places the die size of A8X at roughly 128mm2. This is in-line with our estimates – though certainly on the lower end – making A8X only a hair larger than the 123mm2 A6X. At roughly 3 billion transistors Apple has been able to increase their transistor count by nearly 50% while increasing the die size by only 40%, meaning Apple achieved better than linear scaling and A8X packs a higher average transistor density. On a size basis, A8X is a bit bigger than NVIDIA’s 118mm2 GK107 GPU or a bit smaller than Intel’s 2C+GT2 Haswell CPU, which measures in at 130mm2. Meanwhile on a transistor basis, as expected the 20nm A8X packs a far larger number of transistors than those 28nm/22nm products, with 3B transistors being larger than even Intel’s 4C+GT3 Haswell design (1.7B transistors) and right in between NVIDIA’s GK104 (3.5B) and GK106 (2.5B) GPUs.

Apple iPad SoC Evolution
  Die Size Transistors Process
A5 122mm2 <1B 45nm
A5X 165mm2 ? 45nm
A6X 123mm2 ? 32nm
A7 102mm2 >1B 28nm
A8X 128mm2 ~3B 20nm

Of this die space GXA6850 occupies 30% of A8X’s die, putting the GPU size at roughly 38mm2. This isn’t sufficient to infer the GPU transistor count, but in terms of absolute die size it’s still actually quite small thanks to the 20nm process. Roughly speaking an Intel Haswell GT2 GPU is 87mm2, but of course Apple has better density.

Moving on, the bigger question at this point remains why Apple went with an 8 cluster GPU over a 6 cluster GPU. From a performance standpoint this is greatly appreciated, but comparing iPad Air 2 to iPhone 6 Plus, the iPad Air 2 is nowhere near twice as many pixels as the iPhone 6 Plus. So the iPad Air 2 is “overweight” on GPU performance on a per-pixel basis versus its closest phone counterpart, offering roughly 30% better performance per pixel. Apple certainly has gaming ambitions with the iPad Air 2, and this will definitely help with that. But I believe there may also be a technical reason for such a large die.

The 128bit DDR3 memory bus used by the A8X requires pins, quite a lot in fact. Coupled with all of the other pins that need to come off of the SoC – NAND, display, audio, USB, WiFi, etc – and this is a lot of pins in a not very large area of space. At this point I am increasingly suspicious that Apple is pad limited, and that in order to fit a 128bit memory interface A8X needs to reach a minimum die size. With only a small organic substrate to help spread out pads, Apple has only as many pads as they can fit on the die, making a larger die a potential necessity. Ultimately if this were the case, Apple would have some nearly-free die space to spend on additional features if a 6 cluster A8X came in at under 128mm2, making the addition of 2 more clusters (~10mm2) a reasonable choice in this situation.

Finally, while we’re digging around in A8X’s internals, let’s quickly talk about the CPU block. There are no great surprises – nor did we expect to find any – but viewing the A8X die has confirmed that A8X is indeed an asymmetrical 3 CPU core design, and that there is no 4th (disabled) CPU core on the SoC. An odd number of CPU cores is unusual, though by no means unheard of. In this case Apple laid down a 3rd Enhanced Cyclone core, doubled the L2 cache, and left it at that.

Wrapping things up, it has become clear that with A8X Apple has once again thrown us a curveball. By drawing outside of the lines and building an eight cluster GPU configuration where none previously existed, the A8X and its GXA6850 GPU are more powerful than even we first suspected. Apple traditionally aims high with its SoCs, but this ended up being higher still.

As far as performance is concerned this doesn’t change our initial conclusions – iPad Air 2 performs the same no matter how many GPU clusters we think are in it – but it helps to further explain iPad Air 2’s strong GPU performance. With 256 FP32 ALUs Apple has come very close to implementing a low-end desktop class GPU on a tablet SoC, and perhaps just as impressively can sustain that level of performance for hours. Though I don’t want to reduce this to a numbers war between A8X and NVIDIA’s TK1, it’s clear that these two SoCs stand apart from everything else in the tablet space.



View All Comments

  • jjj - Tuesday, November 11, 2014 - link

    Is it strong perf though? I mean it's a huge die and on 20nm and all it can do is this? Got to wonder where it will be when Maxwell goes 20nm and maybe others got new architectures soon..Sure they can afford to use much bigger SoCs than others since they make their own but it doesn't seem all that efficient.
    In the end we measure mobile GPUs by perf in synthetic benchmarks and that has no real relevance since all wee need is for games to run well.Wish mobile benchmarking would get better tools already since GPU testing is rather misleading and we all look for best perf not good enough perf.
  • smartypnt4 - Wednesday, November 12, 2014 - link

    This is what I was thinking... The GPU just clock incredibly low since it performs as well as would be expected from a 6-cluster implementation at the same clockspeeds as the 4-cluster in the A8. I'd wager they're getting awesome power consumption numbers out of this GPU if that's the case. Reply
  • jjj - Wednesday, November 12, 2014 - link

    They do tend to clock lower to save power but gaming battery life isn't great. Don't have heat testing maybe they save on that. Anyway, assuming the GPU die area is 2x the GPU in the iphone then on 28nm it would be over 70mm2. Ofc i assumed that the TK1 die area is about 80mm2 but we don't really know for sure and we don't know how big the GPU is either so maybe i should have been more cautious in assuming Nvidia's die size since we just don't have enough info on it. Reply
  • testbug00 - Wednesday, November 12, 2014 - link

    The Tegra K1 has a die area of around 120mm^2 for the A15 variant. No clue about the Denver variant. Reply
  • easp - Wednesday, November 12, 2014 - link

    Apple's priorities seem to be excellent balanced performance, battery life, and low weight. Those things are somewhat at odds with each other, so they have to make accommodations in other parts of the design. So, they spend silicon to get strong balanced performance with low power consumption. That sounds like a reasonable thing to me. Reply
  • tipoo - Wednesday, November 12, 2014 - link

    Yup. They're not the kind to double the GPU clocks for this performance, sacrificing battery life. More GPU logic allows a lower clock. Reply
  • testbug00 - Wednesday, November 12, 2014 - link

    what 20nm Maxwell chip is coming? Sites have finally realized that GM200 is going to be 28nm.

    The Erista chip is likely going to be 28nm based on those facts. I would be quite happy to see it on 20nm though, especially if they made an updated version of the original SHIELD device-thingy.
  • tviceman - Wednesday, November 12, 2014 - link

    It'd be heavily fool-hardy for Nvidia to release a 28nm SoC in 2015. I think the general sentiment going is that 20nm isn't viable or large dies, which SoC's are not (at least in comparison to mid-range and flagship GPU's). Mobile is currently much, much more competitive than anything else and since TK1 is shown to consume higher power when under max load than other devices in it's class, a shrink is needed for it to remain competitive in perf/w and maintain a sane die size. Reply
  • testbug00 - Wednesday, November 12, 2014 - link

    Given NVidia works on lowering A15/57 and Denver power consumption, with how Maxwell is sized, it could end up with a chip smaller than the K1 that uses noticably less power and is far faster.

    I highly doubt there is any Maxwell chips designed for 20nm. Don't see why they would shrink the design just for the next Tegra processor.

    Nvidia was the first company to publicly go after foundries for the huge cost increases that were happening in public (to my knowledge) and I don't think their stance has magically changed. Not to mention that 20nm power and performance characteristics aren't that large above 28nm.
  • aenews - Saturday, November 15, 2014 - link

    What's wrong with GFXBench? 3DMark is definitely biased by resolution, even on off-screen benchmarks though. I've tested with Resolution Changer. Reply

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