Google’s Foldable Pixel, Codenamed ‘Felix’ for Tensor G2 SoC, 12GB RAM, Latest Specs Leaked

The Google Pixel Fold has revealed a familiar design, and according to the latest leaked specs, it looks like the device will have similarities there as well. According to a leaked benchmark, Google’s first foldable Pixel phone will feature Tensor G2, the same chipset that powers the Pixel 7 and Pixel 7 Pro.

Presumably running in the Google Pixel Fold, the Tensor G2 gets the same single-core and multi-core score as the Pixel 7 Lineup.

Codenamed ‘Felix’ is often associated with Google’s foldable Pixel, and according to Geekbench 5, it has both single-core and multi-core results. In terms of performance, the Tensor G2 is no better than the SoC that powers the Pixel 7 and Pixel 7 Pro, with scores of 1047 and 3257. Although this makes the chipset noticeably slower than the competition, we’ll see what Google improvements are to ensure the Pixel is responsive. Fold in real-world missions.

The CPU configuration of the Tensor G2 running in “Felix” remains the same. You get two high-performance Cortex-X2 cores running at 2.85GHz, two mid-range Cortex-A78 cores running at 2.35GHz and four Cortex-A55 cores clocked at 1.80GHz. Apart from that, the alleged smartphone runs Android 13 directly and features 12GB of RAM.

To refresh your memory, the Pixel 7 Pro features the same number of SoC and RAM, and since Geekbench 5 results can be easily tampered with, it’s possible someone could tamper with those results as well. There are no other data available to us at the moment, such as display specifications, battery capacity, and more. If any of these were revealed, we would have provided an informed opinion on these findings. With that being said, we recommend our readers treat this leak with a pinch of salt.

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At the same time, since the Pixel Fold is launching next year, it is not crazy to think that it will have the same hardware as the Pixel 7 and Pixel 7 Pro as the Tensor G3 will be launched in Q4 2023 and not before.

News source: Geekbench

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