# 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).