Profile Job Results
Jobs
jgkrezq25
Results Ready
Name
sixd_repnet_pose_estimator
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 224, 224, 3]Completion Time
5/2/2026, 5:36:04 PM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
5.35 ms
Estimated Peak Memory Usage
0 ‑ 28 MB
Compute Units
NPU
89
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.08 s | 197‑203 MB |
Subsequent App Load | 269 ms | 76‑104 MB |
Inference | 5.35 ms | 0‑28 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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