GPU Performance & Power

Continuing on to the GPU side of the Exynos 7420, we’re again revisiting ARM’s Mali T760. We’ve extensively covered ARM’s Midgard series and Samsung’s implementation in our in-depth architectural article as well as the Note 4 Exynos review. The Exynos 7420 isn’t too different to the 5433 on the GPU side other than having 2 additional shader cores and being able to take advantage of LPDDR4 memory. While we’re pretty sure of the impact the two added shader cores will have, the new memory technology and increased bandwidth it brings is still an unknown until we take a deep look at how performance scales with the faster memory.

First we take a look at peak power consumption of the 7420 and how it compared to other SoCs we currently have numbers on. For this we measure power during GFXBench’s T-Rex and Manhattan 3.0 tests in off-screen mode.

The Galaxy S6 and Exynos 7420 use up to 4.85W of load power. Again, load power here means the figures have the device’s idle and the screen power consumption subtracted to give a better view of the active SoC power instead of the device as a whole.

The 14nm manufacturing process looks to have allowed Samsung to increase performance while still improving power over the 5433’s T760MP6 which runs at slightly lower clocks. We previously investigated Samsung’s curious DVFS technique for ARM’s Midgard architecture and it seems the Exynos 7420 does a much better job at balancing out power when the GPU handles ALU-heavy loads. As a reminder, Samsung chooses to clock the GPUs higher whenever a given task puts a more ALU-centric load on the shader cores. In the case of the Exynos 7420 the GPU runs up to 772MHz in this mode while loads which stress the texture- and load/store-units cap the maximum frequency at 700MHz. On the Exynos 5433 for example these limits were set at respectively 700 and 600MHz, so the 7420 has a comparatively smaller boost. The voltage difference between the two top states is also not as high as on the 5433, and both factors combined result that the GPU power difference between high-arithmetic and normal loads is minimal.

I finally had the opportunity to measure Qualcomm’s Adreno GPU's in the form of the Snapdragon 801, 805 and 810 in the S5, S5 LTE-A and G Flex2, and it showed some revealing numbers that I hadn’t expected. Firstly, it’s now very clear how the Adreno 420 was able to outperform the Mali T760MP6 between the two Note 4 variants as the power and efficiency difference on the T-Rex test is significant. What is interesting to see though is the Adreno 4xx's much higher power draw on ALU heavy loads such as the Manhattan test. While the Midgard architecture seems to allow the GPU a power advantage in arithmetic loads, the Adreno 4xx sees the complete opposite as its power draw increases dramatically.

To have a better picture of overall efficiency between the various architectures, I laid out both the performance and power numbers in a table overview:

T-Rex Offscreen Power Efficiency
(System Load Power)
FPS Avg. Power Perf/W
Exynos 7420 (S6) 14LPE 56.3 4.82W 11.63 fps/W
Snapdragon 805 (S5LTEA) 28HPM 40.7 4.06W 10.02 fps/W
MT6595 (MX4) 28HPM 23.3 2.42W 9.55 fps/W
Snapdragon 810 (G Flex2) 20SoC 45.5 4.84W 9.39 fps/W
Exynos 5430 (MX4Pro) 20LPE 28.7 3.55W 8.08 fps/W
Snapdragon 801 (S5) 28HPM 26.9 3.47W 7.77 fps/W
Exynos 5433 (Note 4) 20LPE 37.3 5.35W 6.97 fps/W
Exynos 5430 (Alpha) 20LPE 31.3 4.88W 6.41 fps/W
Kirin 930 (P8 Estimated) 28HPM 17.0 3.69W 4.60 fps/W

While the Exynos 7420 draws a high amount of power at 4.82W, it also is able to post by far the best performance and thus ends up at the top of the efficiency table. While Qualcomm’s S805 has a full two process node disadvantage over the 7420, it is still able to just trail it in terms of power efficiency in the T-Rex test. The Adreno 430 of the Snapdragon 810 manages trail behind the Snapdragon 805 in efficiency even though it's on a better process node.

Things get shuffled around a bit in the more demanding and arithmetic heavy Manhattan test:

Manhattan 3.0 Offscreen Power Efficiency
(System Load Power)
FPS Avg. Power Perf/W
Exynos 7420 (S6) 14LPE 24.8 4.87W 5.08 fps/W
Exynos 5430 (MX4Pro) 20LPE 12.3 3.20W 3.84 fps/W
MT6595 (MX4) 28HPM 8.1 2.15W 3.76 fps/W
Snapdragon 805 (S5LTEA) 28HPM 18.2 5.20W 3.66 fps/W
Snapdragon 810 (G Flex2) 20SoC 22.2 5.82W 3.34 fps/W
Snapdragon 801 (S5) 28HPM 11.9 3.75W 3.17 fps/W
Exynos 5430 (Alpha) 20LPE 12.7 4.07W 3.11 fps/W
Exynos 5433 (Note 4) 20LPE 17.5 6.08W 2.87 fps/W

The Exynos 7420 remains at the top as the most efficient chipset, but this time it managed to do this by a considerable margin as Qualcomm’s Adreno 4xx's fall off behind other SoCs. We will be revisiting the Snapdragon 810 in more detail in a separate future article but for now the GFXBench results show that the chipset has actually lost efficiency over the Snapdragon 805 in both GFXBench tests even though it moved to a newer 20SoC TSMC manufacturing process.

It's clear that Samsung currently holds the efficiency crown due to the 14nm process, therefor it's hard to judge the efficiencies of the GPU architectures as we're not on an even playing field. It seems we’ll only be able to have a clear apples-to-apples architectural comparison once Qualcomm releases the Snapdragon 820 on a FinFET process.

People may have noticed I started including GPU numbers from MediaTek’s MT6595 with the review of the P8 and post them here as well. Even though absolute performance of the SoC is inferior, it’s the power consumption value which stands out as unusual. The chipset doesn’t exceed 2.4W at its top performance level, and this is quite telling of the design decisions between the different semiconductor vendors.

Over >3-4W, basically all SoCs tested will never be able to maintain their top frequency for any amount of reasonable and usable amount of time. We also see this in the Exynos 7420 as even with the new manufacturing process and its large efficiency gains it’s not able to maintain more than the 350-420MHz states. Joshua had written about his experience with the thermal throttling mechanism in our initial review of the Galaxy S6, and it showed a very sinusoidal performance curve as the thermal management couldn’t decide which frequency state to maintain for prolonged periods of time. I investigated this a bit and discovered that the throttling levels on the default driver were very steep and also weren’t gradual as one would expect. The stock driver has 4 throttling temperature levels and frequency caps configured at 544, 350, 266 and again 266MHz. This was odd to have two temperature thresholds at the same frequency as it doesn’t really makes for any practical use. I changed the throttling levels to 544, 420, 350 and 266MHz to allow for a more gradual degradation and also increased the power coefficient values on the IPA thermal management driver to values that seem more representative of the real-world measurements.

The end result is that instead of having performance behave very haphazardly during the duration of the run, we’re now able to achieve a consistent performance level once the temperature of the device settles in after 25 minutes. The rather shocking discovery is that this change was also able to increase battery performance by 33% as the S6 now lasted 3.8h instead of 2.8h on the stock settings. This change in runtime is due to the higher performance states having less efficiency than the lower states as we’re subject to linear power scaling on frequency and quadratic scaling of operating voltage.

We can see this in the load power measured at all of the GPU’s frequency states (The 772MHz state is missing due to T-Rex not scaling to that frequency). We see the 420MHz state use half the power of the 700MHz state even though it’s only 40% slower.

The mobile industry seems to have fallen into the bad habit of endlessly trying to one-up the competition in performance benchmarks that we have started to totally disregard total power and power efficiency. Other than MX4 with MediaTek’s MT6595 SoC (And seemingly Apple’s recent A-series SoCs) none of the recent flagship SoCs seem to employ a sensible GPU configuration that is able to actually maintain its maximum performance states. This unfortunately comes at the cost of the user experience - as demonstrated in the modified thermal throttling behavior; actually aiming for highest performance although it’s physically not possible due to thermal constraints will lead to inconsistent performance and reduced battery life.

In the case of the Galaxy S6 the GPU is not able to maintain the maximum frequency for more than 2 minutes and throttles to half the performance after about 20 minutes. Unless there are users whose gaming experiences are limited to 5-10 minute sessions it’s very hard to see a reasonable explanation for such settings. It would have been much better if vendors would cap the maximum possible frequency to the actual sustainable performance levels of their devices; in the case of the Galaxy S6 this seems to be the 420 or 350MHz states. It’s understandable that measuring efficiency is much harder than measuring pure synthetic performance, and as long as the industry and media don’t change their evaluation methodology for mobile devices this will unfortunately continue to be a large problem.

Similar to the CPU measurements, I was curious to see the impact of undervolting on 3D power consumption. To do this I again made an interface to be able to control the GPU’s power management driver and change the voltage tables on the fly, resulting in the following values for GFXBench T-Rex:

Given a cold device the benchmark will cause the GPU to remain at its maximum frequency state as long as it’s not V-sync limited. Given that T-Rex still doesn’t reach that point and that this is an off-screen test without V-sync, it’s something which we needn't have to worry about. I gradually reduced down voltage in 12.5mV steps until the device crashed and wasn’t able to complete the test run anymore. Overall, it seems the power gains are more limited than what we were able to achieve on the A57 cores. This is most likely due to the fact that the power numbers we’re seeing here are not only purely result of the GPU but also some CPU, interconnect, and most importantly memory controller and DRAM power.

LPDDR4 Performance & Power

LPDDR4 promises to bring some large power and performance advantages over LPDDR3. The performance advantages are clear as the new memory technology is able to double up on the available bandwidth to the whole of the SoC, increasing from 13.2GB/s for 825MHz LPDDR3 up to 24.8GB/s for the 1555MHz memory run on the Exynos 7420.

To actually isolate the performance improvement of the LPDDR4 memory I went ahead and did a little experiment: Since the Exynos 7420 largely has the same main IP blocks and GPU architecture as the Exynos 5433, it would be interesting to try to replicate and mimic the latter SoC by artificially limiting the former. If the performance then matches what we actually measured on the Note 4 Exynos it would mean we have a valid base-line with from which we can then measure the impact of the new LPDDR4 memory.

To mimic the Exynos 5433 in the Galaxy S6, I limited the GPU cores to an MP6 configuration as well as match the Exynos 5433’s stock frequencies. I also lowered the LPDDR4 memory controller’s speed to run at an equivalent frequency to the LPDDR3 found in the Exynos 5433. While it’s true that running the two memory technologies at an equivalent frequency doesn’t necessarily mean that they’ll perform the same; there’s always other factors such as latency or transaction sizes which may differ and impact performance. On the CPU memory tests I wasn’t able to identify any significant differences in latency between the two SoCs so, while not entirely certain, we could assume that memory frequency is the only impacting factor between the two chipsets.

At 828MHz memory we’re basically within 0.5fps of the Note 4 Exynos across all four game-tests of GFXBench. This is encouraging as it looks we’re able to accurately match the performance of the predecessor chipset. Now we can steadily increase the memory frequency and see how the Mali T760 is able to take advantage of it. Performance seems to slightly go up with each frequency increase. It seems diminishing returns are starting to kick in after the 1264MHz state as the 1456MHz and higher only bring marginally higher performance. It also seems that Samsung did well to balance the Exynos 5433's memory bandwidth as the performance gains when doubling memory speed are kept under 10%.

The Exynos 7420 with two additional shader cores and higher frequency should be more memory hungry and thus be able to take better advantage of the LPDDR4 memory, so we revert the GPU configuration to the stock 7420 settings and only scale the memory frequency to see the advantages.

The performance numbers jump up across the board when compared the Exynos 5433 so it looks like the chipset is making good use of its additional cores. This setup gives us a better overview of how much LPDDR4 brings to such a configuration. This time the performance delta for T-Rex is higher as the chipset loses 15-18% of its frame-rate when limited to LPDDR3 speeds. Manhattan shows a similar pattern to the T-Rex but in reversed screen scenarios. This time it’s the on-screen mode which benefits the most of the increased bandwidth as the delta is 19%.

Similarly to the Exynos 5433 it looks like the 7420 isn’t actually saturating the full available bandwidth as the performance increases diminish with each frequency step. The 1555MHz state especially seems to give no statistically significant boost.

One of LPDDR4’s advantages comes in the form of better efficiency. Samsung quotes 40% less energy consumption per byte over LPDDR3. In high performance scenarios this power advantage is negated by the fact that the memory is running at almost twice the speed of LPDDR3, but in everyday scenarios and loads which only require part of the total achievable bandwidth should see tangible improvements in power consumption.

The power difference when scaling the memory frequency remains limited when taking into account that the GPU also does less or more work depending on the available bandwidth. Earlier this year at ARM's TechDay gathering, the company was kind enough to share with us some detailed power numbers on the Galaxy S5 test-bed based on the Exynos 5422. For reference, this is a 28nm SoC with LPDDR3 memory. The combined power consumed by the memory controller and DRAM seemed to come in at around 1W with an average ratio of 40:60 for controller and DRAM. I estimate that the Exynos 7420 and its LPDDR4 memory should fall around the same ballpark figure at peak performance; although we’re not too sure what kind of impact LPDDR4 and 14nm has on the memory controller power.

Overall LPDDR4 is a nice improvement in power efficiency and performance, but I wouldn't go as far as to call it a game-changer. Qualcomm and MediaTek still chose LPDDR3 for most of their SoCs coming this year as it will probably remain a cost-effective alternative for non-premium flagship devices, so we're likely far off from seeing a full transition to LPDDR4 such as we've seen in the LPDDR2 to LPDDR3 transition a few years ago.

CPU Power Management Conclusion & Final Remarks


View All Comments

  • hans_ober - Monday, June 29, 2015 - link

    Superb article!
    The reason Anandtech stands out from other sites!
  • III-V - Monday, June 29, 2015 - link

    Andrei puts out very good stuff. Reply
  • ddriver - Monday, June 29, 2015 - link

    Hope he didn't make this chart...

    Y axis looks "funky"... rounding error mayhaps?
  • Andrei Frumusanu - Monday, June 29, 2015 - link

    Whoops! The decimal was truncated, let me fix that right away. Reply
  • Refuge - Monday, June 29, 2015 - link

    Great article, love the deep dives on this site. :D Reply
  • edlee - Wednesday, July 1, 2015 - link

    Also the CDMA variants of s6 have a different modem, Qualcomm mdm9635, do you think that it would have different power usage than Samsung in House modem? Reply
  • witeken - Monday, June 29, 2015 - link

    A bit disappointed there's not a single word about Intel, which also has a FinFET SoC. Reply
  • SleepyFE - Tuesday, June 30, 2015 - link

    There is. And it says just that. I think it almost 2 years old though, so you might have to look through older articles if you want to know more about it. You can't expect them to write about Intel in an article titled: The Samsung Exynos 7420 Deep Dive. Reply
  • BillBear - Thursday, July 2, 2015 - link

    The level of detail in this piece is wonderful. Reply
  • ads2015 - Saturday, July 4, 2015 - link
    By: Linus Torvalds (, July 4, 2015 2:37 pmRoom: Moderated Discussions
    Wilco ( on July 4, 2015 11:41 am wrote:
    > Many results don't make sense indeed. I wonder if the benchmarks were forced to run on
    > a specific CPU at a fixed frequency - without that the results will be totally bogus.

    I don't think they actually ran the benchmarks at all.

    The numbers for some of the oddest ones are suspicious. Look at the 7420 arm64 numbers for gcc, eon and perlbmk: 2000, 2500 and 4000 respectively. Yeah, round numbers like that happen, but three ones like that that just happen to be that round?

    So I wonder what "The scores we publish are only estimates" really means. It could mean that they want to make it clear that it's not an official Spec submission, and they kind of try to imply that.

    But it could mean that they are just marketing estimates from some company, and have never seen any actual real benchmark run, or at best were run in some simulation with a perfect memory subsystem. They even say that they haven't been able to run 64-bit benchmarks due to lack of software availability, but then they quote specint2000 numbers anyway? Where did they come from? That's very unclear.

    And gcc getting the same nice round score on a53 and a57? Yeah, not likely. And perlbmk on a53 has another suspiciously round score.

    Or maybe it's real, and they just happen to be rounded to even thousands (or halves), and the fact that they seem to make no sense is just "that's life, deal with it".

    I don't believe it for a second.


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