| # 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). | |