GPU Performance

Snapdragon 835’s updated Adreno 540 GPU shares the same basic architecture as Snapdragon 820’s Adreno 530, but receives some optimizations to remove bottlenecks along with some tweaks to its ALUs and register file. The Adreno 540 also reduces the amount of work done per pixel by using improved depth rejection, which could further improve performance and reduce power consumption.

Qualcomm is claiming a general 25% increase in 3D rendering performance relative to the Adreno 530 in S820. While not officially confirmed, it appears that Qualcomm is using the move to 10nm to increase peak GPU frequency to 710MHz, a roughly 14% increase over S820’s peak operating point, which would account for a significant chunk of the claimed performance boost.

GFXBench T-Rex HD (Onscreen)

GFXBench T-Rex HD (Offscreen)

GFXBench T-Rex is an older OpenGL ES 2.0-based game simulation that’s not strictly limited by shader performance like the newer tests, which is one reason why flagship phones have been hitting the 60fps V-Sync limit for awhile now in the onscreen portion of the test. More recently, we’ve seen the iPhone 7 Plus and Mate 9, which both have 1080p displays, average 60fps over the duration of the test. Now the Snapdragon 835 MDP/S becomes the first 1440p device to reach this milestone.

The Snapdragon 835 MDP/S outperforms the iPhone 7 Plus and Mate 9 when running offscreen at a fixed 1080p resolution. It’s also 25% faster than the Pixel XL, the highest performing Snapdragon 820 phone, exactly matching Qualcomm’s performance claim. Sliding a little further back along Adreno’s roadmap shows the Adreno 540 with almost a 2x advantage over the Nexus 6P’s Adreno 430 and a 4.5x advantage over the ZUK Z1’s Adreno 330.

GFXBench Car Chase ES 3.1 / Metal (On Screen)

GFXBench Car Chase ES 3.1 / Metal (Off Screen 1080p)

The GFXBench Car Chase game simulation uses a modern rendering pipeline with the latest features found in OpenGL ES 3.1 plus Android Extension Pack (AEP), including tessellation. Like many current games, it stresses ALU performance to deliver advanced effects.

Lower resolution 1080p displays paired with modern GPUs elevate the LeEco Le Pro3 (S821), OnePlus 3T (S820), and Huawei Mate 9 (Kirin 960) to the top of the chart in the onscreen portion of the test. The Snapdragon 835 MDP/S is the fastest 1440p device, besting the second-place Pixel XL by 29%.

Moving to the offscreen test shows the Adreno 540 GPU with a 25% lead over the Adreno 530 in S820. I do not usually put too much stock in performance claims on marketing slides, but so far Qualcomm’s claim is surprisingly accurate. Even more impressive is its 55% lead over the Mate 9’s Mali-G71MP8 GPU, which is based on ARM’s latest Bifrost microarchitecture and is running at 960MHz to 1037MHz during this test.

3DMark Sling Shot 3.1 Extreme Unlimited - Overall

3DMark Sling Shot 3.1 Extreme Unlimited - Graphics

3DMark Sling Shot 3.1 Extreme Unlimited - Physics

3DMark Sling Shot Extreme uses either OpenGL ES 3.1 on Android or Metal on iOS and stresses the GPU and memory system by rendering offscreen at 1440p (instead of 1080p like our other tests).

The Snapdragon 835’s 30% better overall score is pretty significant, considering that there’s only an 8% difference between all the phones using the Apple A10, Exynos 8890, Kirin 960, and S820/S821 SoCs. Diving into the graphics segment shows the Snapdragon 835 MDP/S outperforming the iPhone 7 Plus by 10% and both the S820 and Exynos 8890 versions of the Galaxy S7 by 24%.

Unlike the Adreno 530, which saw a significant uplift in geometry processing from changes to its microarchitecture, it does not appear that any additional changes were made to Adreno 540 based on its similar performance in 3DMark Sling Shot’s first graphics test. ARM’s Mali GPUs have done comparatively well in geometry processing tasks in the past, and in the first graphics test the Adreno 540 is only 11% faster than the Mate 9’s Mali-G71 GPU.

It’s in the second graphics test, which emphasizes shader performance, where we see the biggest gains from Adreno 540, with a 34% lead over the Galaxy S7’s Adreno 530 and a 50% lead over the Mate 9’s Mali-G71. Qualcomm’s changes to its ALUs and register file seem to pay dividends here.

The Physics test runs on the CPU and is heavily influenced by how well an SoC’s memory controllers handle random access patterns. The Snapdragon 835 MDP/S finishes ahead of the Mate 9 by 14% despite their similar CPU performance. The S835’s memory controllers deliver lower latency and higher bandwidth than Kirin 960’s, which could explain its better result in this test.

Basemark ES 3.1 / Metal

Basemark ES 3.1 / Metal Onscreen Test

Basemark ES 3.1 / Metal Offscreen Test

The Basemark ES 3.1 game simulation uses either OpenGL ES 3.1 on Android or Metal on iOS. It includes a number of post-processing, particle, and lighting effects, but does not include tessellation like GFXBench 4.0 Car Chase.

Until Vulkan support is added to benchmarks later this year, Android devices will continue to rely on OpenGL, putting them at a huge disadvantage to iPhones running Apple’s Metal graphics API, which dramatically reduces driver overhead when issuing draw calls. In this particular test, Metal helps push the iPhone 7 Plus in front of the Snapdragon 835 MDP/S by 73%.

ARM’s Mali GPUs perform better than their Adreno counterparts when running Basemark ES 3.1’s workloads; the Exynos 8890’s Mali-T880MP12 is 15% faster than S820’s Adreno 530 and Kirin 960’s Mali-G71MP8 is 25% faster than S835’s Adreno 540 in the offscreen test. The Snapdragon 835 MDP/S does perform 40% faster than the S820 in the Pixel XL, which is quite a bit more than the 25% gain it sees in our other tests.

GFXBench ALU 2 (Offscreen)

The common theme in all of the game simulation tests is the Adreno 540’s better ALU performance, so I thought it would be interesting to see how well it performs in GFXBench’s synthetic ALU test. Surprisingly, its microarchitecture improvements are of no help here. The S835’s 14% advantage over the S820 and 8% advantage over the S821 exactly mirror their differences GPU frequency, assuming 710MHz for S835, suggesting this workload is bottlenecked elsewhere. It still manages to outperform the Mate 9’s Kirin 960 by 32%, however.

CPU and System Performance Qualcomm on Benchmarks versus End-User Experiences
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  • Andrei Frumusanu - Wednesday, March 22, 2017 - link

    What a load of nonsense. GB uses all cores efficiently and it scales just perfectly. You just have a severe misunderstanding of both of the SoC and how the GB score is composed. Calling it worthless just because you don't understand it just makes you look stupid.

    And just for the sake of education:

    Just because there's 8 cores and the strongest SC score is 2K doesn't mean you can just take some multiplier number to get to the MC score. First of all 20% of both the SC and MC scores are composed of the memory performance which simply doesn't scale much if at all between SC and MC scenarios.

    If you look at the integer and floating point sub-scores you see that they're pretty much as you expect. When they're not, it's because the SoC's top frequency is only valid for single-core loads and drops to a lower frequency when using more of them, something that the S835 seems to do.
  • MrSpadge - Wednesday, March 22, 2017 - link

    Furthermore MT may run into bottlenecks not present in ST: cache sizes, memory bandwidth, internal busses and maybe more.
  • joms_us - Wednesday, March 22, 2017 - link

    Nonsense, here is a task that 8 people can do if they all work together but only one is doing it 100%, the 2nd person 50-75% and the rest just 5-10% so they ended up finishing only half of it. That's how GB distributes load because of its pathetic threading and tasks distribution. Cinebench does it perfectly by distributing the rendering tasks in each core separately.

    You cannot say one SoC is weaker than another because GB is not maximizing its potential. Each core after then 2nd is just contributing about 500 points because they were useless throughout the testing.
  • joms_us - Wednesday, March 22, 2017 - link

    And FWIW, that 2K score is just from efficiency core i.e Core 0. That's the default core where GB always runs the Single Core test.
  • Andrei Frumusanu - Wednesday, March 22, 2017 - link

    > And FWIW, that 2K score is just from efficiency core i.e Core 0. That's the default core where GB always runs the Single Core test.

    lol. You have absolutely no clue of what you're talking about.
  • Lord-Bryan - Wednesday, March 22, 2017 - link

    Nah, the 2k is from the high performance core, geekbench can't just schedule a task to a particular core, that's the job of the scheduler in the the os. The highest performance core is always used to run large single threaded load.
  • Andrei Frumusanu - Wednesday, March 22, 2017 - link

    > Nonsense, here is a task that 8 people can do if they all work together but only one is doing it 100%, the 2nd person 50-75% and the rest just 5-10% so they ended up finishing only half of it. That's how GB distributes load because of its pathetic threading and tasks distribution.

    Also lots blablabla: http://i.imgur.com/PaLP1xw.png
  • ah06 - Wednesday, March 22, 2017 - link

    Can you guys do a "What Ifs" short post on the expected changes if Apple went with an 8 core A11 or if Exynos/Snapdragon next iterations would score 3500 on Geekbench. What changes would we see where?
  • joms_us - Thursday, March 23, 2017 - link

    Since you are good at it, why don't you log the freq and usage of GB in 5 runs and show us which Cores are being used heavily. Stop logging each run at around 25% and another set at 100%. And if you don't mind, what is the name of that usage app you've shown in the image? TIA
  • Andrei Frumusanu - Thursday, March 23, 2017 - link

    They're all at maximum frequency and 100% always when the workloads are kicking in. Stop wasting people's time with your nonsense claims. I proved my claims, your turn to prove yours. You can use Trepn.

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