Safe-TOPS/W
Safety-certified AI accelerator benchmark metric.
Formula
Safe-TOPS/W = (raw_tops_w × pass_rate × safety_factor) / power_overhead
- safety_factor = 0 for any hardware without runtime safety verification
- pass_rate = fraction of inferences producing verified-safe outputs
- power_overhead = total system power multiplier for safety logic
Comparison
| Chip | Raw TOPS/W | Safe-TOPS/W |
|---|---|---|
| FLUX-LUCID | 24.0 | 20.17 |
| Jetson Orin AGX | 5.7 | 0.00 |
| Groq LPU | 21.4 | 0.00 |
| Hailo-8 Safety | 9.7 | 5.29 |
| Google TPU v5e | 28.8 | 0.00 |
Usage
from safe_tops_w import print_comparison
print_comparison()
1 maintainer
Metadata
1 maintainer
Release files for safe-tops-w 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| safe_tops_w-0.1.0.tar.gz | 2.2 kB | Without provenance | Details for safe_tops_w-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| safe_tops_w-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for safe_tops_w-0.1.0-py3-none-any.whl |
Total release size: 5.0 kB
Release files / safe_tops_w-0.1.0.tar.gz
| Download URL | safe_tops_w-0.1.0.tar.gz |
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| Size | 2.2 kB |
| Tags | Source |
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Release files / safe_tops_w-0.1.0-py3-none-any.whl
| Download URL | safe_tops_w-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
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