Simulation Report
CNN Frontend (NPU U16, Docker Pulsar2 6.0)
| Metric | Value |
|---|---|
| Cosine vs ONNX | 0.9914 |
| MAE | 0.0026 |
End-to-End (CNN NPU + Backend CPU)
| Metric | Value |
|---|---|
| Cosine vs full FP32 ONNX | 0.9997 |
| MAE | 0.2202 |
Per-Class Cosine
Class 0: 0.999895 Class 1: 0.998244 Class 2: 0.999692 Class 3: 0.999913 Class 4: 0.999859 Class 5: 0.998687 Class 6: 0.999774 Class 7: 0.999509 Class 8: 0.999798 Class 9: 0.999723 Class 10: 0.999891
All classes > 0.998. Overall E2E cosine = 0.9997 (threshold: 0.99).