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Google: Very Satisfied with the Tensor G2 Chip, AI Functions are More Important than Traditional Performance Benchmarks

Update time : 2022-10-29 12:22:36

On October 28th, Google has equipped its latest Tensor G2 chip in the latest Pixel 7 / Pro series of mobile phones. With the Tensor G2 processor, Google says the Pixel 7 and Pixel 7 Pro will bring more useful personalization features for photos, videos, security and voice recognition.

However, the actual performance test of the chip is not excellent. Geekbench 5 scores 1068 for single-core running and 3149 for multi-core running, which is only a slight improvement over the previous generation Tensor chip and cannot keep up with the level of the flagship chip in 2022.
In this week's Made by Google podcast, Google responded to the performance of the Tensor G2 chip, saying that they value the chip's AI capabilities more than hardware performance.
Monika Gupta, senior director of product management for Google's chip team, said they designed the chip to focus on machine learning needs five years from now.
I think traditional benchmarks will make sense at some point, but times are changing, and if you can see what Google is doing trying to advance smartphones through AI innovation, you can understand that traditional benchmarks have Lag behind the age of artificial intelligence or even the age of mobile phones.
So for us, our benchmark is to run real software workloads on the chip and then try to use each generation of Tensor chips to make the software better, whether it's better quality, better performance, lower power consumption.
Google has said it's "very pleased" that the Tensor chip didn't win the benchmark because of its focus on prioritizing end-user experience.
It is understood that the Google Tensor G2 chip uses Samsung's 5nm process. From the benchmark test, the Arm Cortex-X1 ultra-large core frequency in Tensor G2 is 2.85GHz, which is only 50MHz higher than the original Tensor's 2.80GHz.

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