Explaining the Google Tensor G2 SoC

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 Google has finally confirmed that the Tensor G2 SoC will power the Pixel 7 series. The second version of Google's internal processor is called Tensor G2. The chipset is anticipated to provide flagship-level performance in addition to enhanced ISP, network connectivity, and other features.



The Tensor G2 SoC will serve as the foundation for the Google Pixel 7 and Pixel 7 Pro. The forthcoming Pixel 7a may also utilise the same chipset. It appears like Google is emphasising the fact that it is an internal processor by utilising the letter "G" in the nomenclature.

Tensor G2: What Do We Know? Google hasn't provided much details regarding the Tensor G2's features or characteristics aside from the device's moniker. The processor is anticipated to contain an octa-core CPU cluster with two high-performance cores, two medium-performance cores, and four efficiency cores, though, based on the current specifications.


The two main high-performance cores are anticipated to be based on the ARM Cortex-X2 microarchitecture and to operate at a slightly faster clock rate than the cores with medium and low performance. Since the Mali G78 MP20 GPU was included with the first Tensor, the Tensor G2 is anticipated to have an ARM Mali GPU as well. The inbuilt graphics chip is likely to provide better gaming performance this time around, along withwith features like real-time ray-tracing. If Google is using a new fabrication processor, the Tensor G2 could also deliver better energy efficiency when compared to the original Tensor processor.

The Tensor G2-powered Google Pixel 7 earned 957 points in the single-core CPU test and 3194 points on the multi-core CPU test, according to the leaked Geekbench 5 benchmark. The Tensor G2 may actually have a slightly lower clock speed given that its single-core performance is marginally inferior to the Tensor's average single-core performance.


The newer Pixel 7 should still perform admirably when it comes to multitasking, as evidenced by the leaked Tensor G2's multi-core performance, which is obviously superior to the Tensor's average multi-core Geekbench 5 score.

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