Overview:

The Google Tensor G3 and Apple A17 Pro showcase distinct specifications in this comprehensive SoC (System on Chip) comparison. The Tensor G3 features a 9-core CPU with a 4nm process, while the A17 Pro boasts a 6-core CPU at 3nm. In terms of graphics, the Tensor G3's Mali-G715 MP7 competes with the A17 Pro's Apple A17 GPU. Variances extend to memory, multimedia capabilities, and connectivity. Notably, the Tensor G3 introduces advancements like LPDDR5X memory and Exynos 5300i modem. This detailed analysis offers insights into the technological disparities between the Google Tensor G3 and Apple A17 Pro.

Benchmarks:

AnTuTu 10

Geekbench 6

3D Mark

Key Differences:

Google Tensor G3:

1. The Google Tensor G3 features a 9-core CPU architecture, with a combination of Cortex-X3, Cortex-A715, and Cortex-A510 cores, providing a total of 9 cores for enhanced processing capabilities.
2. Its Mali-G715 MP7 GPU, operating at 890 MHz, incorporates 7 execution units and 192 shading units, delivering a total of 1344 shaders and 2415.8 Gigaflops for graphics processing.
3. The Tensor G3 supports LPDDR5X memory with a maximum size of 16 GB, and its multimedia capabilities include a neural processor (NPU) for advanced AI tasks and 8K video capture at 30FPS.

Apple A17 Pro:

1. The Apple A17 Pro is equipped with a 6-core CPU architecture, comprising two high-performance Cortex-A78 cores and four energy-efficient Cortex-A76 cores, delivering a total of 6 cores for efficient multitasking.
2. Its Apple A17 GPU, running at 1398 MHz, features 6 execution units and 128 shading units, providing a total of 768 shaders and 2147.2 Gigaflops for graphics performance.
3. The A17 Pro supports LPDDR5 memory with a maximum size of 8 GB, and its multimedia capabilities include the Neural Engine for AI tasks and 4K video capture at 60FPS.