On paper, several specs align closely: both chips are fabbed on a 3 nm process, both phones ship with 16 GB of RAM and 1 TB of storage, and both GPUs run at the same 1100 MHz clock speed. But the benchmark numbers tell a starkly different story. The Xiaomi 15 Ultra's Snapdragon 8 Elite posts an AnTuTu score of 2,746,580 — nearly three times the Pixel 10 Pro's 961,489 on the same test. That gap is not a rounding error; it reflects a fundamental difference in raw compute throughput between the Snapdragon 8 Elite and Google's Tensor G5.
The Geekbench 6 results reinforce this picture. The 15 Ultra scores 3,234 single-core and 10,059 multi-core, compared to 2,267 and 5,712 on the Pixel 10 Pro — roughly a 43% lead in single-threaded tasks and a 76% lead in multi-threaded workloads. In practice, this means the Xiaomi handles sustained computational loads — video editing, large AI model inference on-device, high-fidelity gaming — with considerably more headroom. The 15 Ultra also edges ahead in RAM bandwidth (5300 MHz vs 4200 MHz), supports a higher maximum memory ceiling (24 GB vs 16 GB), and offers a newer OpenCL 3 implementation versus OpenCL 2 on the Pixel, which matters for GPU-accelerated compute tasks.
The Xiaomi 15 Ultra wins performance decisively. The Tensor G5 is not a slow chip, and the Pixel 10 Pro will handle everyday tasks without issue — but for users who push their devices hard, the Snapdragon 8 Elite's commanding lead across every benchmark metric makes the 15 Ultra the clear choice on raw horsepower alone.