Google Tensor G2 official: what changes with Pixel 7 and 7 Pro

google tensor g2

Of all the novelties presented with Pixel 7 and 7 Pro, Google Tensor G2 is probably the most incisive in the technical data sheet of the two new top of the Big G range. Starting from 2021, the company has chosen the path of the proprietary System-on-a-Chip, setting aside Qualcomm for home-developed solutions. We appreciated the first chip on board the Pixel 6 series, so let's see what are the news of his successor.

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Starting from the production process, Google Tensor G2 is made a 5 nm, and how the Tensor G1 rolls out of semiconductor printing plants again Samsung. A choice that some may not like, given the Snapdragon 8 Gen 1 problems, to the point of pushing Qualcomm to leave Samsung for TSMC; not to mention the problems that Samsung itself has found with their own Exynos chipsets.

google tensor g2

Doubts about nanometers aside, Google Tensor G2 is also renewed in other technical characteristics. For example the processor, having a more powerful tri-cluster CPU so formed: 2 x 2,85 GHz Cortex-X1 + 2 x 2,35 GHz Cortex-A78 + 4 x 1,8 GHz Cortex-A55. While there is a boost in core frequencies, it is an architecture CPU ARMv8 last generation, without the Cortex-X2, A710 and A510 cores present on the high-end SoCs of Qualcomm and MediaTek. The GPU also changes, passing from the Mali-G78 MP20 to the most recent Mali-G710 MP07, whose enhancements promise to speed Vulkan performance.

When it comes to the Google chip, there are also additional elements at stake on which the company aims to expand the potential of its smartphones. For example, there is one new TPU (Tensor Processing Unit), module of machine learning dedicated to managing especially those software features that require a certain type of power and processing, such as Photo Unblur and Cinematic Blur. Among other novelties, the ISP can process 10-bit instead of 8-bit HDR images; no confirmation, but the 5G modem should be the new one Exynos 5300. For the rest, Tensor G2 maintains what has already been seen with Tensor G1, such as support for LPDDR5 and UFS 3.1 memories.

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