What's New in Google Tensor G3
The Google Tensor G3 is a custom-designed system-on-a-chip (SoC) that will be used in the upcoming Google Pixel 8 series of smartphones. It is expected to be manufactured on Samsung’s 4nm process node and will feature a new 1+4+4 CPU configuration, with a single Cortex-X3 prime core clocked at up to 3.0GHz, four Cortex-A715 performance cores clocked at up to 2.45GHz, and four Cortex-A510 efficiency cores clocked at up to 2.15GHz. The Tensor G3 will also feature a new Mali-G715 (Immortalis) 10-core GPU, an upgraded TPU (Tensor Processing Unit), and support for UFS 4.0 storage.
Here are some of the key features of the Google Tensor G3:
- 1+4+4 CPU configuration with a single Cortex-X3 prime core, four Cortex-A715 performance cores, and four Cortex-A510 efficiency cores
- Mali-G715 (Immortalis) 10-core GPU
- Upgraded TPU (Tensor Processing Unit)
- AV1 encode capabilities: The Google Tensor G3 is expected to be the first smartphone chip to support AV1 encoding. AV1 is a new video codec that is more efficient than the previous generation codecs, such as H.264 and HEVC. This means that videos encoded with AV1 will take up less storage space and use less data when streaming.
- Ray tracing support: The Google Tensor G3 is expected to support ray tracing. Ray tracing is a new technology that allows for more realistic and immersive graphics in games and other applications.
- Second-generation GXP: The Google Tensor G3 is expected to feature a second-generation GXP. The GXP is a dedicated hardware accelerator that is used for Google’s AI and machine learning features. The second-generation GXP is expected to offer significant performance improvements over the first-generation GXP.
- UFS 4.0 storage: The Google Tensor G3 is expected to support UFS 4.0 storage. UFS 4.0 is the latest generation of flash storage that offers significantly faster speeds than previous generations. This means that apps will load faster, games will run smoother, and file transfers will be quicker.
The Google Tensor G3 is expected to offer significant performance improvements over the previous generation Tensor G2 SoC. It is also expected to offer better AI and machine learning performance, as well as improved battery life. The Google Pixel 8 series is expected to be released in the fall of 2023.
Here are some of the potential benefits of using the Google Tensor G3:
- Improved performance for gaming, video editing, and other demanding tasks
- Better AI and machine learning performance for tasks such as image recognition, speech recognition, and translation
- Improved battery life due to the more efficient design
- Enhanced user experience thanks to the improved performance and AI capabilities
In its CPU block, the upcoming Tensor G3 boasts a significant improvement. It has undergone a thorough redesign and makes use of ARMv9 cores from 2022. Google is choosing a distinctive nine-core arrangement for the G3, departing from the previous generation’s 4+2+2 core setup. Four Cortex-A510s, four Cortex-A715s, and one Cortex-X3 make up this configuration. This is intended to significantly improve performance.
The sophisticated Memory Tagging Extensions from ARM, which are intended to aid in shielding systems against memory-based attacks, are also present on the chip. The Pixel 8 can only run 64-bit apps as well. Of course, these are only a few of Google’s surprises. The Arm Mali-G715 is a brand-new graphics processor for the Tensor G3 in the Pixel 8. This processor has 10 cores, which is an improvement.
Google Tensor G3 could help people:
- Improved performance: The Tensor G3 is said to be a significant upgrade over the Tensor G2, with a new 1+4+4 core layout and a faster clock speed. This could lead to a noticeable improvement in performance for tasks such as gaming, video editing, and multitasking.
- Enhanced camera capabilities: The Tensor G3 is also said to have improved camera capabilities, including support for ray-tracing and 8K video recording. This could make it a great choice for photographers and videographers.
- More powerful AI and ML features: The Tensor G3 is also said to have a more powerful AI and ML accelerator, which could lead to improved performance for tasks such as voice recognition, translation, and image recognition.
- Extended battery life: The Tensor G3 is also said to be more power efficient than the Tensor G2, which could lead to extended battery life for Pixel 8 devices.
Overall, the Google Tensor G3 looks to be a significant upgrade over the Tensor G2. It offers a number of potential benefits for users, including improved performance, enhanced camera capabilities, more powerful AI and ML features, and extended battery life.
Here are some specific examples of how the Google Tensor G3 could help people in their everyday lives:
- Gamers: The Tensor G3’s improved performance could make it a great choice for gamers, who could see a noticeable improvement in frame rates and load times.
- Video editors: The Tensor G3’s support for 8K video recording and ray-tracing could make it a great choice for video editors, who could create more realistic and immersive videos.
- Multitaskers: The Tensor G3’s improved performance and power efficiency could make it easier for multitaskers to switch between apps and tasks without experiencing slowdowns or battery drain.
- Photographers: The Tensor G3’s improved camera capabilities could make it a great choice for photographers, who could take advantage of features such as ray-tracing and 8K video recording to create stunning photos and videos.
- Translators: The Tensor G3’s more powerful AI and ML accelerator could make it easier for translators to translate text and speech in real time.
- Image recognition users: The Tensor G3’s more powerful AI and ML accelerator could make it easier for image recognition users to identify objects and scenes in photos and videos.
Overall, the Google Tensor G3 looks to be a powerful new chip that could offer a number of benefits for users in their everyday lives.
