How Is It Different? – Gizbot News

The Pixel 7 and Pixel 7 Pro are powered by the new Tensor G2 processor jointly developed by Samsung and Google. Many reports claim that the Tensor G2 is manufactured by Samsung using the 4nm process. However, a Google spokesperson has confirmed that the Tensor G2 is manufactured using a 5nm process.

As of now, there is no clear information if the Tensor G2 is based on Samsung’s 5LPE or is using the slightly improved 5LPP manufacturing process. In both cases, the difference in energy efficiency between the two devices will be negligible.

The official statement of the spokesperson of Google

“We purpose-built the Google Tensor G2 for real-world use. The ultimate architecture featuring 5nm helped us reach our goals of increasing performance and power efficiency. Building on machine learning with our next-generation TPU from the G2.”

Google Tensor G2 specs

The Tensor G2 is Google’s latest flagship soC, which currently powers the Pixel 7 and Pixel 7 Pro, and the same chipset will power the upcoming Pixel tablet. Tensor G2 has an octa-core CPU design with two high performance cores (Cortex-X1), two medium performance cores (Cortex-A78) and four efficiency cores (Cortex-A55).

The SoC comes with an upgraded Mali-G710 MC10 GPU. Although Tensor G2 uses the same Cortex cores as before, Tensor G2 actually has a higher clock speed, improved single- and multi-core performance.

Was Google cheap or a smart decision?

Samsung’s 4nm 4LPE node is a tried and tested manufacturing process. In fact, processors like Exynos 2200 and Snapdragon 8 Gen 1 are built using the same. However, these processors had some issues with thermal management that could be linked to Samsung’s 4nm manufacturing process.

Qualcomm therefore switched production of the Snapdragon 8+ Gen 1 to TSMC’s 4nm process. As we have seen in the reports, the Snapdragon 8+ Gen 1 is not only powerful but also more power efficient compared to the Snapdragon 8 Gen 1.

Since new nodes are always expensive, Google may have tried to save a dollar by manufacturing the Tensor G2 using an older 5nm node. However, we cannot ignore the fact that Google decided to balance between thermal performance and efficiency by using the old but reliable 5nm process instead considering the poor thermal performance of Samsung’s new 4nm process.

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