Google Tensor vs Google Tensor G2

Google Tensor

The Google Tensor SoC (G1, first generation) is the first smartphone processor from Google. It is positioned as a high end SoC and focuses on the integrated TPU for efficient AI and ML calculations. The CPU part integrates two fast and big ARM Cortex X1 cores at up to 2.8 GHz. A second cluster integrates 2 mid range Cortex-A76 cores at up to 2.25 GHz. Finally, four small ARM Cortex-A55 cores with up to 1.8 GHz are integrated for efficiency purposes. All cores can access the shared 4 MB L3 cache. 

The successors of the Tensor SoC are the Tensor G2 and G3.

The chip also integrates a Titan M2 security processor and a ARM Mali G78 MP20 GPU. The chip is manufactured in the modern 5nm process.

Google Tensor G2

The Google Tensor G2 SoC is a chip that was developed by Google and Samsung for the Google Pixel smarthpones. It is the successor to the Google Tensor G1 and still integrates the same CPU cores. This processor part includes two fast ARM Cortex-X1 cores at up to 2.85 GHz (up from 2.8 GHz of the G1), two mid-range Cortex-A78 cores at up to 2.35 GHz and four small ARM Cortex-A55 efficiency cores with up to 1.8 GHz. The caches are identical with 4 MB CPU L3 cache and 8 MB system level cache. Therefore, the CPU performance is very similar to the first generation of the Tensor SoC.

A big upgrade is the new TPU, which should be more powerful and power efficient compared to its predecessor. In our tests, the AI performance is about 50% higher.

The iGPU was also improved, and now uses a more modern ARM Mali G710 architecture with 7 cores.

The chip also integrates a Titan M2 security processor, a LPDDR5 memory controller, and an ISP for 10-bit HDR / 4k/60 video and 108 MP cameras.

The SoC is manufactured in 5nm at Samsung.