Profile Job Results
Jobs
jp38dy1x5
Results Ready
Name
sixd_repnet_face_detector
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 640, 3]Completion Time
6/13/2026, 6:58:59 PM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
6.92 ms
Estimated Peak Memory Usage
1 ‑ 150 MB
Compute Units
NPU
125
| Stage | Time | Memory |
|---|---|---|
First App Load | 842 ms | 181‑191 MB |
Subsequent App Load | 97.1 ms | 0‑151 MB |
Inference | 6.92 ms | 1‑150 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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