


Google releases new self-developed chip Tensor G3, AI enhancement function becomes highlight
At Google’s new hardware product launch conference on October 4, the debut of the new self-developed chip Tensor G3 undoubtedly became the focus. This chip has been installed on two new mobile phones, Pixel 8 and Pixel 8 Pro, indicating that Google’s strength in the field of mobile hardware will be significantly improved again
First of all, From a process perspective, Tensor G3 uses Samsung’s 4nm process. Compared with the previous generation 5nm process, the 4nm process has significantly improved transistor density, performance and power consumption. This means that Tensor G3 will have higher computing speed and lower power consumption, allowing mobile phones to achieve longer battery life and smoother performance.
In terms of CPU core configuration, Tensor G3 is equipped with 1 Cortex-X3 core, 4 Cortex-A715 cores and 4 Cortex-A510 cores. As a high-performance core, the Cortex-X3 core is mainly responsible for processing high-load tasks, such as games and multimedia applications; the Cortex-A715 core is a medium-performance core, responsible for processing daily applications; and the Cortex-A510 core is a low-performance core, responsible for Handle background tasks. This core configuration enables Tensor G3 to reasonably allocate resources according to the needs of different tasks and achieve a higher energy efficiency ratio.
However, The biggest highlight of Tensor G3 is its powerful AI function. Google says Tensor G3 can run more complex ML (machine learning) models, bringing AI enhancements to nearly every part of the Pixel 8 and 8 Pro. For example, with Tensor G3, mobile phones can read web pages aloud to users in a more natural voice, and can also read them in different languages. In addition, virtual assistants can also speak in a more natural way, further enhancing the user experience.
The realization of these AI functions benefits from the powerful computing power of Tensor G3 and Google’s deep accumulation in the field of AI. Through Tensor G3, Google has further shortened the distance between mobile phones and artificial intelligence, making mobile phones no longer just a communication tool, but an intelligent assistant that can provide users with personalized services.
Overall, the release of Tensor G3 has undoubtedly significantly improved Google’s competitiveness in the field of mobile phone hardware. Its powerful performance and excellent AI functions will bring users a better user experience. However, with the continuous development of artificial intelligence technology, the competition for mobile phone chips in the future will not only be a competition of performance and power consumption, but also a competition of AI functions. Therefore, Google needs to continue to increase its investment in the field of AI to maintain its leading position in the mobile hardware market.
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