Compared with mobile assembly, processor manufacturing needs lots of additional measures and always takes a time-consuming process. That’s why only a few companies manufacture processors, and others are using their processors. After Qualcomm, MediaTek, and Samsung Exynos, Google released the Tensor chip in the Pixel 6 series. Since Processor is the main component in mobile, Google has already begun to work towards Tensor 2 Processor for Pixel 7. In the Official Component document, the code represented the Tensor 2 Chipset. After Every processor release, The Successor is always focused on low Nanometer chips to enhance the power saving process. So, We can expect Tensor 2 should be focus on power save and additional performance.
Google Tensor Processor in Pixel 6
Google Pixel 6 and 6 Pro came with many cutting-edge features; it’s not like we haven’t seen those features, but Engineers very much improved them on the Pixel 6 series. While we’re still talking about how to get the stock Google Pixel 6 Photo app on other Pixel devices running Android 12, the guys at 9to5Google spotted an exciting update that you’d love to know.
The update is about the stock chipset on Google Pixel 6 – Google Tensor SoC. This chipset comes with cutting-edge feature features that make the Pixel 6 series much faster than its predecessors. Yes, Pixel 6 and 6 Pro came with the first-gen version of this chipset, and according to the update from 9to5Google, the upcoming Pixel 7 would feature the second-gen version of this chipset codename, maybe Cloudripper.
What’s Up With This New Chipset From Google?
The main attraction of this chipset is the AI-focused TPU (Tensor Processing Unit). Also, Google is trying to deviate from using chipsets manufactured by other companies – to focus and improve its in-house custom hardware. According to Google, the new Tensor chip features “the most accurate Automatic Speech Recognition (ASR);” this works for Google Assistant queries and longer audio tasks like live captions.
Furthermore, this new chip comes with features such as Motion Mode, quick live translations to different languages (translates texts immediately you type). It also has more accurate face detection. The general thought is that the Google Tensor SoC is a high-efficiency chip that’s fast and more advanced than other SoCs from Google competitors.
Google working on Tensor 2 Processor for Pixel 7 SoC (Cloudripper)
According to reports from 9to5Google, their APK Insight team found references to a new Pixel-related codename, “Cloudripper.” However, it doesn’t seem like a codename for Google’s next flagship Pixel device, Pixel 7/7 Pro; instead, Cloudripper is the name of a baseboard or developer board that shares hardware in common with the two phones.
More so, previous documentation accessed by the 9to5Google team showed that the “Cloudripper” is a 2nd-gen version of Google Tensor chips. The model number of that chip is “GS201.” The Tensor SoC on Pixel 6 has the model number “GS101.” Hence, by comparison, GS201 is most likely the next entire generation of the chipset. With this flow, we can guess that Google’s Tensor SoC would have newer versions annually, and the model numbers would typically increase by 100.
From the proofs so far, it’s not far-fetched that Google is already working on a Tensor GS101 successor. With the first-generation Tensor chip already doing pretty well, we can only expect newer versions and models with new Pixel flagships.
However, at the moment, no one’s sure what to expect from the potentially upcoming GS201 chip – Google hasn’t made any releases yet. In the meantime, you could catch up with updates from Mishaal Rahman’s Twitter page.
Now over to you, have you used the new Google Pixel 6 or 6 Pro? What’s your experience with the new chip so far?.
Selva Ganesh is the Chief Editor of this Blog. He is a Computer Science Engineer, An experienced Android Developer, Professional Blogger with 8+ years in the field. He completed courses about Google News Initiative. He runs Android Infotech which offers Problem Solving Articles around the globe.