GPU Performance & Power

On the GPU side of things, testing the QRD865 is a bit complicated as we simply didn’t have enough time to run the device through our usual test methodology where we stress both peak as well as sustained performance of the chip. Thus, the results we’re able to present today solely address the peak performance characteristics of the new Adreno 650 GPU.

Disclaimer On Power: As with the CPU results, the GPU power measurements on the QRD865 are not as high confidence as on a commercial device, and the preliminary power and efficiency figures posted below might differ in final devices.

3DMark Sling Shot 3.1 Extreme Unlimited - Physics

The 3DMark Physics tests is a CPU-bound benchmark within a GPU power constrained scenario. The QRD865 here oddly enough doesn’t showcase major improvements compared to its predecessor, in some cases actually being slightly slower than the Pixel 4 XL and also falling behind the Kirin 990 powered Mate 30 Pro even though the new Snapdragon has a microarchitectural advantage. It seems the A77 does very little in terms of improving the bottlenecks of this test.

3DMark Sling Shot 3.1 Extreme Unlimited - Graphics

In the 3DMark Graphics test, the QRD865 results are more in line with what we expect of the GPU. Depending on which S855 you compare to, we’re seeing 15-22% improvements in the peak performance.

GFXBench Aztec Ruins - High - Vulkan/Metal - Off-screen

In the GFXBench Aztec High benchmark, the improvement over the Snapdragon 855 is roughly 26%. There’s one apparent issue here when looking at the chart rankings; although there’s an improvement in the peak performance, the end result is that the QRD865 still isn’t able to reach the sustained performance of Apple’s latest A13 phones.

GFXBench Aztec High Offscreen Power Efficiency
(System Active Power)
  Mfc. Process FPS Avg. Power
(W)
Perf/W
Efficiency
iPhone 11 Pro (A13) Warm N7P 26.14 3.83 6.82 fps/W
iPhone 11 Pro (A13) Cold / Peak N7P 34.00 6.21 5.47 fps/W
iPhone XS (A12) Warm N7 19.32 3.81 5.07 fps/W
iPhone XS (A12) Cold / Peak N7 26.59 5.56 4.78 fps/W
QRD865 (Snapdragon 865) N7P 20.38 4.58 4.44 fps/W
Mate 30 Pro (Kirin 990 4G) N7 16.50 3.96 4.16 fps/W
Galaxy 10+ (Snapdragon 855) N7 16.17 4.69 3.44 fps/W
Galaxy 10+ (Exynos 9820) 8LPP 15.59 4.80 3.24 fps/W

Looking at the estimated power draw of the phone, it indeed does look like Qualcomm has been able to sustain the same power levels as the S855, but the improvements in performance and efficiency here aren’t enough to catch up to either the A12 or A13, with Apple being both ahead in terms of performance, power and efficiency.

GFXBench Aztec Ruins - Normal - Vulkan/Metal - Off-screen

GFXBench Aztec Normal Offscreen Power Efficiency
(System Active Power)
  Mfc. Process FPS Avg. Power
(W)
Perf/W
Efficiency
iPhone 11 Pro (A13) Warm N7P 73.27 4.07 18.00 fps/W
iPhone 11 Pro (A13) Cold / Peak N7P 91.62 6.08 15.06 fps/W
iPhone XS (A12) Warm N7 55.70 3.88 14.35 fps/W
iPhone XS (A12) Cold / Peak N7 76.00 5.59 13.59 fps/W
QRD865 (Snapdragon 865) N7P 53.65 4.65 11.53 fps/W
Mate 30 Pro (Kirin 990 4G) N7 41.68 4.01 10.39 fps/W
Galaxy 10+ (Snapdragon 855) N7 40.63 4.14 9.81 fps/W
Galaxy 10+ (Exynos 9820) 8LPP 40.18 4.62 8.69 fps/W

We’re seeing a similar scenario in the Normal variant of the Aztec test. Although the performance improvements here do match the promised figures, it’s not enough to catch up to Apple’s two latest SoC generations.

GFXBench Manhattan 3.1 Off-screen

GFXBench Manhattan 3.1 Offscreen Power Efficiency
(System Active Power)
  Mfc. Process FPS Avg. Power
(W)
Perf/W
Efficiency
iPhone 11 Pro (A13) Warm N7P 100.58 4.21 23.89 fps/W
iPhone 11 Pro (A13) Cold / Peak N7P 123.54 6.04 20.45 fps/W
iPhone XS (A12) Warm N7 76.51 3.79 20.18 fps/W
iPhone XS (A12) Cold / Peak N7 103.83 5.98 17.36 fps/W
QRD865 (Snapdragon 865) N7P 89.38 5.17 17.28 fps/W
Mate 30 Pro (Kirin 990 4G) N7 75.69 5.04 15.01 fps/W
Galaxy 10+ (Snapdragon 855) N7 70.67 4.88 14.46 fps/W
Galaxy 10+ (Exynos 9820) 8LPP 68.87 5.10 13.48 fps/W
Galaxy S9+ (Snapdragon 845) 10LPP 61.16 5.01 11.99 fps/W
Mate 20 Pro (Kirin 980) N7 54.54 4.57 11.93 fps/W
Galaxy S9 (Exynos 9810) 10LPP 46.04 4.08 11.28 fps/W
Galaxy S8 (Snapdragon 835) 10LPE 38.90 3.79 10.26 fps/W
Galaxy S8 (Exynos 8895) 10LPE 42.49 7.35 5.78 fps/W

Even on the more traditional tests such as Manhattan 3.1, although again the Adreno 650 is able to showcase good improvements this generation, it seems that Qualcomm didn’t aim quite high enough.

GFXBench T-Rex 2.7 Off-screen

GFXBench T-Rex Offscreen Power Efficiency
(System Active Power)
  Mfc. Process FPS Avg. Power
(W)
Perf/W
Efficiency
iPhone 11 Pro (A13) Warm N7P 289.03 4.78 60.46 fps/W
iPhone 11 Pro (A13) Cold / Peak N7P 328.90 5.93 55.46 fps/W
iPhone XS (A12) Warm N7 197.80 3.95 50.07 fps/W
iPhone XS (A12) Cold / Peak N7 271.86 6.10 44.56 fps/W
QRD865 (Snapdragon 865) N7P 206.07 4.70 43.84 fps/W
Galaxy 10+ (Snapdragon 855) N7 167.16 4.10 40.70 fps/W
Mate 30 Pro  (Kirin 990 4G) N7 152.27 4.34 35.08 fps/W
Galaxy S9+ (Snapdragon 845) 10LPP 150.40 4.42 34.00 fps/W
Galaxy 10+ (Exynos 9820) 8LPP 166.00 4.96 33.40fps/W
Galaxy S9 (Exynos 9810) 10LPP 141.91 4.34 32.67 fps/W
Galaxy S8 (Snapdragon 835) 10LPE 108.20 3.45 31.31 fps/W
Mate 20 Pro (Kirin 980) N7 135.75 4.64 29.25 fps/W
Galaxy S8 (Exynos 8895) 10LPE 121.00 5.86 20.65 fps/W

Lastly, the T-Rex benchmark which is the least compute heavy workload tested here, and mostly is bottlenecked by texture and fillrate throughput, sees a 23% increase for the Snapdragon 865.

Overall GPU Conclusion – Good Improvements – Competitively Not Enough

Overall, we were able to verify the Snapdragon 865’s performance improvements and Qualcomm’s 25% claims seem to be largely accurate. The issue is that this doesn’t seem to be enough to keep up with the large improvements that Apple has been able to showcase over the last two generations.

During the chipset’s launch, Qualcomm was eager to mention that their product is able to showcase better long-term sustained performance than a competitor which “throttles within minutes”. While we don’t have confirmation as to whom exactly they were referring to, the data and narrative here only matches Apple’s device behaviour. Whilst we weren’t able to test the sustained performance of the QRD865 today, it unfortunately doesn’t really matter for Qualcomm as the Snapdragon 865 and Adreno 650’s peak performance falls in at a lower level than Apple’s A13 sustained performance.

Apple isn’t the only one Qualcomm has to worry about; the 25% performance increases this generation are within reach of Arm’s Mali-G77. In theory, Samsung’s Exynos 990 should be able to catch up with the Snapdragon 865. Qualcomm had been regarded as the mobile GPU leader over the last few years, but it’s clear that development has slowed down quite a lot recently, and the Adreno family has lost its crown.

Machine Learning Inference Performance Final Thoughts
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  • jospoortvliet - Monday, December 16, 2019 - link

    The best snapdragon can barely keep up with the a11, as Andrei points out in his analysis. YouTube speed tests are by far the most useless and pointless benchmarks ever devised, which is why not a single reputable source (like anandtech) ever uses them...

    Sorry, but the only question here is how much faster the a14 will be. 40%, 50% or even more...
  • Kishoreshack - Monday, December 16, 2019 - link

    Why doesn't Qualcomm simply increases their die size & use a larger die properly to at least come closer to apple
    maybe it is needs more than a larger die size
    it needs a better Architecture
    Arm or Qualcomm whom to blame?
  • eastcoast_pete - Monday, December 16, 2019 - link

    A key problem for smartphones is power budget. These SoCs are already pushing 5 W/h and up if running at full tilt, so even a nicely sized battery (5000 mAh) can be drained in 3-4 hours top if someone runs them accordingly. Apple has managed to accommodate high peak/burst performance while still getting good overall power usage, and I still find their battery life wanting.
  • Quantumz0d - Monday, December 16, 2019 - link

    Why do they need to ? Apple is only Apple and it only works for them.

    If you see realworld speedtests on YouTube see how OP7 Pro flies through the tasks giving the user a faster and smoother experience.

    And go to ScyllaDB website and see how AWS Graviton 2 stacks with Intel in Benches and how they mention benches only should not be taken as a measure.

    Apple OS lacks Filesystem. It cannot be a computer ever. iOS is a kid friendly OS. You can't even fucking change launcher / icons forget other system level changes.

    Qcomm needs competition from MediaTek, Exynos. Huawei HiSilicon but except Exynos all are garbage because they do not let us unlock Bootloaders. And Android phones see community driven ROMs there is so much or choice to add even the DAPs from 200USD to 3000USD have Qcomm technology.

    Repairing is also easier due to the HW Boxes which can bring a QComm9008 Brick to life. Whereas with Apple its Ball and Chain ecosystem.

    I see my SD835 run like butter through everything I throw at it and has an SD slot too.

    This stupid Whiteknighting of Apple processors beating x86 and their use case / Android Phones is a big sham. People need to realize benches are not the only case when you compare Processors accross OSes.
  • jospoortvliet - Monday, December 16, 2019 - link

    A 1995 computer running MS DOS 6.0 is also butter smooth, I hope you dont think that means an intel 486 DX4 is faster than an apple chip.

    Please stop with your nonsense about "real world tests". Real world your 835 has a slower cpu, GPU, and storage. Doesn't mean it is garbage - it is fine you are happy with it but it is not your duty to defend the honor of Oppo against facts. I dont want an iphone either die to their walked garden but that doesn't mean I live under the delusion that my brand new galaxy s10e is anything other than at least 40% slower and twice as inefficient as an iPhone 11...
  • cha0z_ - Friday, December 27, 2019 - link

    Coming from exynos 9810 note 9 to iphone 11 pro max... the SOC on the iphone is literally times faster and more efficient than the exynos. The difference is absurdly big and people still calls apple slower because of design choices (like the slow animations, etc). It's super smooth in all conditions/times + it's rofl fast in any app/game (not to mention apps got functions not available on android). GL running full PC civilization 6 on android with decent performance later in the game on bigger map and decent battery life. There is a reason why the game was not ported on android too (and not only piracy) - it will run poor even on most high end current gen android phones.
  • ksec - Monday, December 16, 2019 - link

    They could, but are you going to pay for it? Let say Qualcomm has to bump up $50 ( inclusive of their profits ) to reach the same level of performance, as you consumer you will have to pay roughly $100 more.

    In a cut throat Android market, who is going to risk putting up their Smartphone price by $100?

    There is a reason why Samsung and Huawei are trying to make SoC themselves, instead of putting those profits into Qualcomm's hand, they want those cost to go towards more die space to better differentiate their product and compete with Apple.

    Now here is another question, how many consumer will notice the different in CPU speed? And how many consumer will notice the Modem quality different?

    They are all set of trade offs, not only in engineering, but also in cost, markets, risk... etc...
  • jospoortvliet - Monday, December 16, 2019 - link

    It is a matter of cost. Arm could design a cpu core that is 4 times the size of the a76 and 50% faster, catching up to apple. But that would cost a lot of die size and thus money... for high margin, high cost devices it is ok but not for cheap ones. Ape can afford this...
  • jospoortvliet - Monday, December 16, 2019 - link

    Ape - I mean apple of course!
  • cha0z_ - Friday, December 27, 2019 - link

    It's not that simple as putting a lot of transistors in it. You can somewhat tackle the problem with that, but by itself it will not lead to the desired end result.I can elaborate, but it will be lengthily and highly technical post.

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