The upcoming Google Pixel 9 series, set to be released this fall, has been making headlines with its new processor specifications and benchmark scores. The latest development involves the Tensor G4 chip, which will power the Pixel 9, Pixel 9 Pro, and Pixel 9 Pro XL. This article will delve into the details of the Tensor G4, its architecture, and the performance it offers.
Google Tensor G4 Architecture
The Google Tensor G4 is an upgrade to the Tensor G3, addressing key areas where its predecessor faced challenges. The new chip is designed to enhance performance, power efficiency, and thermal management, setting new standards for mobile technology.
One of the primary improvements is the shift to a 4-nanometer manufacturing process, which allows for a more compact design and better heat distribution. This advancement is expected to significantly improve thermal management, enabling the chip to maintain higher performance levels for extended periods without overheating. This is crucial for maintaining the longevity and reliability of mobile devices.
The Tensor G4 is also anticipated to have improved power efficiency, which will likely result in extended battery life and reduced energy consumption. This is particularly important for today’s power-intensive applications and multitasking needs. The chip is expected to feature a 3-core architecture, including the latest Cortex-X4, Cortex-A720, and Cortex-A520 cores, which will optimize the balance between high-performance computing and power efficiency.
There are rumours that the Tensor G4 will include a hardware-based ray-tracing GPU, a significant step forward for mobile graphics. This technology provides realistic lighting effects by simulating the physical behaviour of light, enhancing visual fidelity in games and other graphically intensive applications. Additionally, the chip will likely include better neural processing units for AI computations, enhancing the performance of AI-driven features like voice recognition, image processing, and contextual awareness[
The Tensor G4 should support the latest standards in Wi-Fi and Bluetooth technology, along with better 5G capabilities, ensuring faster and more reliable wireless connectivity. This is crucial for seamless internet experiences and the adoption of cloud services and IoT devices.
Benchmark Scores
In terms of running scores, Rozetked announced the AnTuTu running scores of the three new Pixels. On the listing, the Google Pixel 9 scored 1,071,616, the Pixel 9 Pro scored 1,148,452, and the Pixel 9 Pro XL ranks first with 1,176,410. In comparison, the running score of the Pixel 8 was close to 900,000, and that of the Pixel 8 Pro was 1,142,984.
Gizchina News of the week
The performance gains of the Tensor G4 are modest relative to the Pixel 8 series. The Tensor G4 scores are only slightly higher than those of the Tensor G3, which scored around 0.95 million points. This suggests that the performance improvement may be small. However, it is essential to note that these scores are based on non-final software, and the final scores may be higher after the official launch. After the launch of the device, we will get a final performance score of this device. The final score could either be higher or lower than the current scores.
Future of Tensor Processors
The Google Tensor G4 will be the last Tensor processor to be partially custom by Google. Starting from the Pixel 10 series in 2025, Google will fully design the Tensor chip independently. Additionally, the Tensor G5 will use TSMC’s second-generation 3nm process technology. This manufacturing process promises to bring superior power efficiency and performance relative to Samsung’s 4nm process. This may leave the Pixel 9 series behind in terms of raw performance compared to future models.
Google Pixel 9 series
The Google Pixel 9 series is shaping up to be an exciting release, with rumours pointing to a significant expansion of the lineup to three models. The base Pixel 9 will retain a similar size to the Pixel 8 at around 6.1 inches, while the Pixel 9 Pro will come in a slightly larger 6.3-inch variant. The most intriguing addition is the rumoured Pixel 9 Pro XL, which would feature high-end specs and a larger 6.5-6.8 inch display.
The design of the Pixel 9 series takes inspiration from previous models, with flat metal sides and a flat back panel. The camera bar on the back will also change from a solid bar to an oval island in the centre. This redesign, along with the addition of a third model, suggests Google is closely mirroring Apple’s strategy of offering multiple handsets with varying features and price points.
Under the hood, the Pixel 9 series will come with the latest generation of Google’s Tensor processor. The likely name of this chip is “Tensor G4” following the brand’s regular nomenclature. This custom chip is for on-device AI, which has been a key focus for the Pixel line. The phones will launch with Android 15. According to rumours, the software will come with a new setting for better privacy, camera control, and satellite messaging.
While pricing details are still scarce, the rumoured price increase for the upcoming Pixel 8A suggests the Pixel 9 series may see a similar bump. However, Google should continue to offer at least seven years of software support. This will make the Pixel 9 a solid long-term investment. Overall, the Google Pixel 9 series promises to be a significant upgrade, with a refined design, improved performance, and a more diverse lineup to cater to different preferences and budgets.
Conclusion
The Tensor G4 chip in the upcoming Google Pixel 9 series offers a slight performance bump compared to the Tensor G3. While the scores are higher, the improvement is not drastic. The Tensor G4’s architecture, with its 1+3+4 core configuration, provides a balance between performance and power efficiency. However, the future of Tensor processors looks promising, with the Tensor G5 expected to offer significant improvements. For those considering upgrading to a Pixel 9 model, it may be worth waiting for the Tensor G5-powered Pixel 10 series, which is likely to offer better performance and efficiency.