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Details About Tensor G5 Processor for Google Pixel 10 Revealed!

While Google doesn’t have a presence in our local market, it holds a significant share in the industry and is already accelerating its efforts for the Pixel 10. The company is planning major changes for the processor it will use in the device. Google Moves Tensor Production from Samsung to TSMC…

Samet KelebekSamet Kelebek

Published 1 min read

Details About Tensor G5 Processor for Google Pixel 10 Revealed!

While Google doesn’t have a presence in our local market, it holds a significant share in the industry and is already accelerating its efforts for the Pixel 10. The company is planning major changes for the processor it will use in the device.

Google Moves Tensor Production from Samsung to TSMC

Google is making a significant step by transferring the production of its Tensor processors, specially designed for the flagship Pixel series, from Samsung to TSMC. The Tensor G5, codenamed “Laguna,” will now be manufactured using TSMC’s advanced 3-nanometer N3E process.

Tensor G5

According to Kamila Wojciechowska, known for her Google news insights, changes are expected in the core architecture of the Tensor G5 processor as well. The 1+3+4 core arrangement of its predecessor will be replaced by a 1+5+2 configuration.

Google is launching Gemini 2.0! Here’s the date

The Tensor G5 processor will be supported by a single high-performance Cortex-X4 core, five mid-range Cortex-A720 cores, and two energy-efficient Cortex-A520 cores. For the GPU, Google plans to utilize a new design from Imagination Tech.

Instead of the ARM Mali, Google is opting for a dual-core DXT-48-1536 GPU with this change. Additionally, the new processor aims to bring advanced graphics features such as ray tracing and GPU virtualization technology. The new NPU is expected to offer a performance of 18 or 9 TOPS (INT8 or FP16) with a 14% increase.

Tensor G5

Moreover, the size of the new Google processor will be 121 mm², which is quite large for a processor. While the processor promises high performance with its features, it is expected to have an impact on the size of the devices.

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