The Google Pixel 7 series will be unveiled in full next month, but the company has already confirmed that it will be powered by a partially custom Tensor G2 processor.
A developer did some digging earlier this week and found the apparent Tensor G2 specs. We asked what you think about these leaked details by posting a poll in our newsletter. Here’s how they answered it.
What do you think of the Tensor G2 based on the leaked specs?
Results
Just over 1,000 votes were cast in this poll, and most respondents had neither strong positive nor negative feelings. In fact, 67.1% of surveyed readers answered that the specification was OK but could be better.
Google is sticking with the same CPU it used in the original Tensor. That means two Cortex-X1 cores, two Cortex-A76 cores and four Cortex-A55 cores. However, the Tensor G2 is tipped to come with a Mali-G710 GPU, which could be a strong upgrade over the Tensor’s Mali-G78 setup. So it’s a tale of two halves when it comes to the Pixel 7 processor.
Related: Everything you need to know about Google Tensor
Meanwhile, 20.4% of poll readers said they hated the Tensor G2 based on these specs. We can understand why they vote this way based on the CPU mentioned above, which probably lags even further behind competing projectors.
Finally, 12.4% of the readers surveyed said they liked the Tensor G2 based on these clear specifications. We’ve yet to hear about modem specs, AI silicon, ISP, and other tidbits, but if these categories get major upgrades, we can see why some people are anticipating the new chipset.
Comments
- Joe Black: If there is an improvement in the calculation and efficiency of photography, I’m sold. Otherwise I don’t care about any CPU/GPU gain on my phone. I’m more curious if they’ll make something like RAW night vision available on the Pixels or if it supports that new bluetooth codec.
- Roost Front: If they put the same chip in their top model and budget, it might make sense not to use the latest technology. Most of the power of the best processors is only visible in benchmarks. Differences are rarely seen in real-life situations.