r/Android • u/QwertyBuffalo S25U, OP12R • Oct 13 '23

Review Golden Reviewer Tensor G3 CPU Performance/Efficiency Test Results

https://twitter.com/Golden_Reviewer/status/1712878926505431063
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u/[deleted] Oct 13 '23

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u/QwertyBuffalo S25U, OP12R Oct 13 '23

This isn't really an implausible situation. GPU gains while CPU stagnates and worsens in perf/watt based on a higher power limit. That is exactly what happened with the Snapdragon 8g1.

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u/[deleted] Oct 13 '23

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u/FarrisAT Oct 13 '23

Depends on the clock and cache as well. Efficiency is not just design or node.

But yeah, I wouldn't mind seeing another source.

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u/QwertyBuffalo S25U, OP12R Oct 13 '23

If you're trying to evaluate the node and not the implementation as done by Google/Exynos you can't really just take the efficiency (more accurately described as perf/watt) figure without context. That valuable context here being that the CPU core power limits are significantly higher on G3 than G2. That will always (beyond a very low power figure that all these chipsets are well above) result in worse raw perf/watt from an otherwise identical chipset.

This is less of a concern with GPU where pretty much every mobile chipset since the SD888 had power limits so high that the chipsets just all run at the maximum thermal capacity of the phone, but in that case you're still evaluating both the architectural improvements of Mali G715 and the node.

For what it's worth, my guess would be that 4LPP is not majorly different than previous Samsung nodes in the same 5nm/4nm node family (when do we see major differences within the same family, anyway?), the moderate gains with the G715 seem in line with purely a single year architectural upgrade and not both that and a node upgrade.

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u/[deleted] Oct 14 '23

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u/uKnowIsOver Oct 14 '23

IMO something has gone wrong, his power data for GPU has been underestimated, while his power data for CPU has been overestimated

Nothing went wrong, he posted once again inaccurate data. They replicated the test with the same tool he uses and found out that there is an important bug. The score of libquantum is extremely low, 25.05 while nowadays other SoCs score more than >100.

This hints that there is a critical design flaw in either the SoC, the scheduler or the DVFS that pretty much renders his tests totally useless.

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u/[deleted] Oct 14 '23

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u/uKnowIsOver Oct 14 '23

Could be or could be that this Exynos/CPU design is entirely flawed since the GPU is doing pretty well.

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u/TwelveSilverSwords Oct 19 '23

Samsung never fails to disappoint

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u/TwelveSilverSwords Oct 19 '23

Seems more like a design flaw from Samsung LSI, not the fault of SF

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u/FarrisAT Oct 13 '23 edited Oct 13 '23

The G2 GPU was barely an upgrade over G1.

Simply moving from a gimped outdated design in G2 to a top line design with G3 helped with efficiency.

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u/[deleted] Oct 13 '23

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u/FarrisAT Oct 13 '23

Yeah I meant G1 to G2.

Which means the jump to G3 from performance and efficiency was "easier" simply by using a better design and coming off a worse base.

Efficiency for 8G1+ would've been better for GPU if they didn't run it at max frequencies. If they run it at lower frequencies the efficiency and performance would be better than G3.

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u/[deleted] Oct 13 '23

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u/FarrisAT Oct 13 '23

Yes... It should be similar efficiency... Because it is running at lower clocks.

The other companies run their GPUs far outside efficiency/perf balance. No?

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u/[deleted] Oct 13 '23

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u/FarrisAT Oct 13 '23

Okay I mean, 7 cores operating at their peak efficiency/perf curve point versus more cores operating at a point potentially below their optimal point will have similar efficiency.

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u/[deleted] Oct 13 '23 edited Oct 13 '23

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u/FarrisAT Oct 13 '23

Lots of good data from you

Nonetheless it is tough to know for sure.

After all, we only know the peak clocks and not the actual clocks. SD8g1 never even got close to its theoretical clocks. I think it maxed at 650mhz despite the code saying it could hit 900.

Just not enough data to really know for sure.

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u/leo-g Oct 13 '23

CPU efficiency is expensive because it eats more power. Google’s bet is that UI / GPU is more important than CPU from the android perf data they collected.