quickutilities – Google’s Pixel 10 Pro Fold has recently appeared on Geekbench, powered by the new Tensor G5 system-on-chip (SoC). This chip uses last-generation Arm Cortex CPU cores and a new PowerVR GPU from Imagination Technologies. The Tensor G5’s first Geekbench results were underwhelming, likely because it was an engineering sample. The latest scores show some improvement but still place the chip behind current high-end competitors.
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On Geekbench, the Tensor G5 scored 2,276 points in single-core and 6,173 points in multi-core tests. These scores indicate the chip is not throttling and maintains a steady boost clock during testing. While the performance is better than earlier results (which were 1,323 and 4,004), it lags behind flagship chips like the Snapdragon 8 Elite, which scored 3,070 and 9,251 respectively. The Tensor G5’s performance is closer to last-generation chips like the Dimensity 9300, which scored 2,207 in single-core and 7,408 in multi-core.
The Pixel 10 Pro Fold model tested features 16 GB of RAM and runs on Android 16. This combination reflects Google’s focus on a premium foldable device powered by their custom SoC. The test results suggest that while the Tensor G5 is capable, it does not match the raw power of the latest chips from competitors.
Technical Details and Future Outlook for Tensor G5
The Tensor G5’s CPU design includes one Cortex-X4 prime core running at 3.78 GHz, five Cortex-A725 performance cores at 3.05 GHz, and two Cortex-A520 efficiency cores clocked at 2.25 GHz. This layout demonstrates Google’s choice to prioritize a balance between performance and efficiency using familiar CPU cores. The chip also features a new Imagination Technologies PowerVR DXT-48-1536 GPU, which is a departure from previous GPU choices.
One notable change is the manufacturing process. The Tensor G5 is built on either TSMC’s 3 nm or 5 nm node, depending on the source, which should improve power efficiency compared to previous generations. However, the chip’s older CPU cores limit its ability to compete in raw speed with current market leaders. Additionally, the inclusion of an Exynos modem may affect overall device performance and connectivity.
Despite these limitations, the Tensor G5’s design aims to support Google’s integrated software and hardware ecosystem, especially on foldable devices. The improved power efficiency could benefit battery life and thermal management, important factors for foldable smartphones. Overall, while the Tensor G5 does not lead in benchmark scores, it reflects Google’s strategic approach to chipset design and integration. Future iterations may address performance gaps as Google continues refining its SoC technology.
