Profile Job Results
Jobs
jpr9en0ep
Results Ready
Name
sixd_repnet_face_detector
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 640, 3]Completion Time
6/1/2026, 3:24:55 PM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.05.27.0
Estimated Inference Time
28.3 ms
Estimated Peak Memory Usage
1 ‑ 150 MB
Compute Units
NPU
125
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.01 s | 137‑142 MB |
Subsequent App Load | 584 ms | 20‑170 MB |
Inference | 28.3 ms | 1‑150 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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