The Google Pixel 6 series did not launch yet, and neither did Google’s very first mobile SoC. That chip will be called the Google Tensor, and it just got an early comparison with the competition.
This information has been shared by XDA’s Mishaal Rahman, who pulled the information from a source who allegedly has the Pixel 6 Pro. He shared some benchmarking information, essentially revealing the sheer power of Google’s first chip.
The Pixel 6 Pro’s Google Tensor chip got compared to the competition, and it did really well
Based on the Speedometer test results, the Google Tensor is not far from the Snapdragon 888-powered devices. The Google Pixel 6 Pro scored 76.2 points, while the Galaxy S21 Ultra (Snapdragon version) was able to hit 86.3 points. The ZenFone 8 marked 80.3 points.
Needless to say, that’s not exactly a big difference. Let’s just say that the Pixel 5, Google’s most powerful device from last year, scored 32.5 points on that test. That device is fueled by the Snapdragon 765G, though, so it’s not exactly comparable.
The Google Pixel 6 Pro also did really well in the JetStream benchmark. The phone scored 95.4 points, compared to 107.2 and 102.9 that the Galaxy S21 Ultra and ZenFone 8 were able to score. The Pixel 5 scored 55.6 points in this test.
Benchmarks never say the full story, though, quite the contrary. It is nice to see that Google’s chip won’t be behind in terms of sheer power, though, it will be comparable to Qualcomm’s best offering.
The Google Tensor provides Google complete control over Pixel devices
The Google Tensor will have other qualities, though, AI-related, that we’re looking forward to. The fact that this is Google’s chip is a good thing for the Pixel series. It gives Google complete control, as Apple has with its iPhone processors.
That means that we do expect excellent day-to-day performance from the Pixel 6 and 6 Pro, in addition to boosted battery life, and excellent image quality. Not only will Google use a new camera sensor, finally, but it will have its own processor (and ISP) to handle image processing.