The benchmark scores of the Google Tensor chip have started to show up online as early adopters and the media have received their Pixel 6 and 6 Pro units. Although Google is highlighting the ML capabilities of the Tensor chip, synthetic benchmarks like GeekBench ML are not showing promising results. The Apple A15 Bionic chip seems to be way powerful than Google’s first in-house chip on the machine learning front as well.
As first highlighted by Max Weinbach on Twitter and corroborated by Notebookcheck, Apple’s A15 Bionic shows better results on GeekBench ML across TensorFlow Lite CPU, GPU, and ML tests. While Tensor scored 313, 1359, and 1722 in CPU, GPU, and NNAPI, A15 Bionic scored 945, 2061, and 2212 in CPU, GPU, and Core ML categories. That’s a clear victory for A15 Bionic across the board, and well, Google Tensor is not even close.
Pixel 6 Pro Geekbench ML scores. These interest me so much since, a, this is the first Google designed chip and Google designed mobile TPU. And b, in usage Google’s AI is faster, more accurate, and just better. Numbers don’t mean everything. #teampixel #giftfromgoogle https://t.co/y2gkPDovp2 pic.twitter.com/fcOMj2qxav— Max Weinbach (@MaxWinebach) October 25, 2021
If you are interested to know how Google Tensor compares to chipsets found on other Android flagships, Anshel Sag from Moor Insights & Strategy has compared the Pixel 6 series Geekbench scores against S21 Ultra, Redmagic 6S Pro, ROG Phone 5, Snapdragon Insider Phone, and Surface Duo 2. You can check that out below:
As you can see here, not many surprises on the single-core and multi-core CPU @geekbench benchmarks, however in the #AI benchmark I used the NNAPI test to measure performance to make it as fair as possible and I was expecting #Tensor’s AI performance to be higher pic.twitter.com/mkBHE9mWiP— Anshel Sag (@anshelsag) October 25, 2021
