Profile Job Results
Jobs
jglkxn42p
Results Ready
Name
hrnet_pose
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 192, 3]Completion Time
2/21/2026, 11:03:46 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
4.35 ms
Estimated Peak Memory Usage
0 ‑ 116 MB
Compute Units
NPU
516
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.39 s | 166‑172 MB |
Subsequent App Load | 534 ms | 99‑216 MB |
Inference | 4.35 ms | 0‑116 MB |
| TensorFlow Lite | 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 |
| htp_options.device_id | 1 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device