Chip comparison
Google TPU v5e vs Mobileye EyeQ6
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | Google TPU v5e | Mobileye EyeQ6 |
|---|---|---|
| Process node | — | TSMC 7nm |
| TDP | 170 W | 33 W |
| Memory | 16 GB HBM2 | — |
| Memory bandwidth | 819 GB/s | — |
| BF16 (dense) | 197 TFLOPS | — |
| INT8 (dense) | 393 TOPS | 34 TOPS |
| Form factor | OAM (v5e pod, up to 256 chips) | Auto-safety SoC |
| Announced | 2023-08-29 | 2022-01-04 |
| Released | 2023-11-01 | 2024-01-01 |
Robots running Google TPU v5e
No robots publicly running it yet.
Robots running Mobileye EyeQ6
Data centers with Google TPU v5e
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Common questions
Google TPU v5e vs Mobileye EyeQ6: which is more widely used?
Google TPU v5e: 0 robots and 1 data center publicly running it. Mobileye EyeQ6: 1 robot and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v5e full page · Mobileye EyeQ6 full page.