The Google Pixel 10 series isn’t expected until late next year, but rumors about its hardware specifications are already surfacing. A recent leak offers insights into the Tensor G5 chipset, Google’s custom SoC (System-on-Chip) expected to power the Pixel 10 lineup. According to early benchmarks, the Tensor G5 appears to bring minor upgrades in GPU power compared to the current Tensor G4, which is in the Pixel 9 series. Interestingly, Google may integrate Imagination Technologies’ PowerVR DXT architecture in a bid to improve graphical performance. Here’s what the leak reveals about the Tensor G5 and what we might expect from the Pixel 10 series.
Unpacking the Tensor G5 Chipset: An Overview of Core Specifications
The Tensor G5 chipset has been spotted on Geekbench under the codename “Frankel.” Here’s a breakdown of the core specifications:
1.CPU Configuration: The Tensor G5 SoC features an octa-core architecture with a total of eight cores:
•One Prime Core: Clocked at 3.4 GHz, designed for handling heavy-duty tasks.
•Five Mid-Cores: Operate at 2.86 GHz, catering to balanced performance with efficiency.
•Two Additional Cores: Capped at 2.44 GHz, likely optimized for low-power tasks.
2.Architecture: The chipset is reportedly based on the ARMv8 architecture, showcasing a continued focus on balancing power efficiency and performance.
3.Memory: The SoC appears to be paired with approximately 11GB of RAM, which translates to around 11.07GB on Geekbench.
4.Operating System Compatibility: Interestingly, the Tensor G5 SoC was tested on Android 15, which has already been released on select Pixel devices. However, the Pixel 10 series might launch with Android 16 since Google’s Android OS timeline aligns with the expected launch date of the Pixel 10 lineup.
Benchmark Scores: How Does the Tensor G5 Compare?
In preliminary tests, the Tensor G5 chipset has recorded benchmark scores on Geekbench 6.3.0, specifically the AArch64 cross-platform benchmark:
•Single-Core Score: 1,323
•Multi-Core Score: 4,004
In comparison, the Tensor G4 on the Pixel 9 Pro XL achieved 1,944 points in single-core and 4,667 in multi-core tests, revealing that the Tensor G5 might only bring slight improvements in performance. While the core architecture and clock speeds have been optimized, the benchmarks suggest that the Tensor G5’s enhancements are marginal compared to its predecessor.
PowerVR DXT GPU Integration: What’s New for Graphics?
Reports suggest that Google may use the PowerVR DXT GPU architecture from Imagination Technologies to power the Tensor G5’s graphics capabilities. Here’s what this means for the GPU:
1.GPU Model and Specs: The GPU will likely feature a two-core DXT-48-1536 GPU clocked at 1.1 GHz. This setup offers 1,536 FP32 FLOPs per clock, which theoretically supports better graphics processing.
2.Ray Tracing and Shading Capabilities: The PowerVR DXT architecture could introduce scalable ray tracing, Fragment Shading Rate (FSR), and 2D Dual-Rate Texturing for smoother visuals and improved graphical details in gaming and AR applications.
3.Performance Gap: Despite the enhancements, the PowerVR DXT is reportedly two generations behind the fastest GPUs on the market, such as Qualcomm’s Adreno 830 on the Snapdragon 8 Elite SoC. This positioning may affect the Tensor G5’s ability to compete directly with high-end gaming smartphones or flagship devices in terms of raw graphical power.
A Closer Look at Google’s Hardware Strategy
The decision to use a relatively mid-range GPU, such as the PowerVR DXT, may hint at Google’s long-term goals for the Pixel series:
•Focus on Optimization: Google’s strategy has historically prioritized software optimization over sheer hardware performance. By choosing a mid-tier GPU architecture, Google might aim to refine Android and its Machine Learning (ML) and AI features to enhance performance without heavily relying on cutting-edge hardware.
•Machine Learning Capabilities: Google’s Tensor lineup emphasizes on-device machine learning (ML), with specialized Tensor Processing Units (TPUs) that manage tasks like image processing, real-time translation, and adaptive battery performance. The Tensor G5 may offer advancements in these areas, aligning with Google’s AI-focused strategy.
•Targeting Everyday Users Over Gamers: Given the GPU’s performance limits, the Pixel 10 series might prioritize an all-around user experience over gaming performance, positioning itself as a smartphone for everyday users who benefit from Google’s software ecosystem.
Expected Features of the Pixel 10 Series
While hardware leaks for the Pixel 10 series are still limited, Google is expected to maintain its distinctive approach to the Pixel lineup:
1.Superior AI and ML Features: Leveraging the Tensor G5’s ML capabilities, the Pixel 10 series may introduce enhanced AI-driven features like smart calling enhancements, Live Caption, and better low-light photography.
2.Camera Improvements: The Pixel lineup has been celebrated for its cameras, and the Pixel 10 series could introduce refinements that work in synergy with the Tensor G5’s imaging capabilities, offering optimized computational photography and enhanced video stabilization.
3.Battery Efficiency: The slightly enhanced SoC efficiency might allow Google to optimize battery performance, helping users get the most out of the device throughout the day without requiring large battery sizes.
4.Long-Term Software Support: The Pixel 10 series will likely include guaranteed Android updates for at least five years, making it a viable option for users seeking long-term software support.
