The presentation of the Google Pixel 7 and Pixel 7 Pro was a confirmation that the Mountain View giant has once again opted for its “own” SoC, the so-called tensioner G2, a chip that we already gave you some information about that suggested it would be a solution focused more on artificial intelligence than brute force, and indeed it was, as it is not the most powerful SoC on the market. moment.

At the CPU level, Google uses Tensor G2 configuration three core blocks which are distributed as follows:

• Two high-performance cores based on the Cortex-X1 architecture running at a frequency of 2.85 GHz.
• Two balanced cores based on the Cortex-A78 architecture at a frequency of 2.35 GHz.
• Four low-energy cores based on Cortex-A55 architecture at 1.8 GHz.

This configuration is far from what we can find in the Snapdragon 8+ Gen1 SoC, a chip that is manufactured in 4nm node and it also has an octa-core CPU, but these are distributed as follows:

• High performance core based on the Cortex-X2 architecture running at 3.19 GHz.
• Three balanced cores based on Cortex-A710 architecture at 2.75 GHz.
• Four low-energy cores based on Cortex-A510 architecture at 1.8 GHz.

The difference between the two SoCs at the CPU level is clear and places the Qualcomm chip as the most powerful option. The same could be said about its GPU, as it has a powerful Adreno 730 that clearly outperforms the Mali-G710 MC10 Tensor G2.

But that’s not all, the Snapdragon 8+ Gen1 is also a more advanced silicon as it is manufactured on a 4nm node, while the Tensor G2 it is manufactured on a 5nm node. I know that the first information assumed that Google used a 4nm node, but this is not the case, and the company itself confirmed this to the Android Authority.

Google didn’t say who was in charge of making the Tensor G2, but everything seems to point to Samsung making the chip. The difference between a 5nm and a 4nm node may seem insignificant, but in the end, even a small reduction in the process can make a significant difference in performance and efficiency.

As we expected, the new Google SoC is not top-of-the-line silicon or the most powerful, but it is capable of offering good performance and has state-of-the-art NPU (neural processing unit) to support advanced AI functions.