# Performance Test Scenarios

## PT-DSF-01: Dataset formation throughput
- **Input**: 100 images + labels
- **Action**: Run `form_dataset()`, measure wall time
- **Expected**: Completes within 30 seconds
- **Traces**: Restriction: Dataset formation before training

## PT-ENC-01: Encryption throughput
- **Input**: 10MB random bytes
- **Action**: Encrypt + decrypt roundtrip, measure wall time
- **Expected**: Completes within 5 seconds
- **Traces**: AC: Model encryption feasible for large models

## PT-INF-01: ONNX inference latency (single image)
- **Input**: 1 preprocessed image + ONNX model
- **Action**: Run single inference, measure wall time
- **Expected**: Completes within 10 seconds on CPU (no GPU requirement for test)
- **Traces**: AC: Inference capability
- **Note**: Production uses GPU; CPU is slower but validates correctness