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Google Tensor G3 Performance per Watt



Peak performance is an important benchmark number, as is sustainable performance. A third useful number is performance per watt, how much can be achieved for a unit of power. In this video I look at the performance per watt of the Cortex-A510, the Cortex-A715, and the Cortex-X3 CPU cores in the Google Tensor G3.

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18 Comments

  1. Big question is are the commands in the chipsets available on less or equal to the different chips. If an add fi takes 3 cycles on the A510 and 4 on the A7… Then you might be better of the near.future

  2. Thank you for the video, Gary! This is, in my opinion, the BEST video when it comes to talking about any CPU! I am currently using Ryzen 5 2400G, and I am very happy with its CPU power! The real question is, however, how much the top ARM mobile chips can compare to it, using just 5-6 Watts for the whole system! My CPU can reach 90 Watt usage after load! Power efficiency is where the real game is!!!

  3. You should do the same with the 8g3 and current Exynos, because these Tensor numbers are kinda meaningless (but nonetheless really interesting) unless compared to other SoCs