Profile Job Results
Jobs
j56zv4y6g
Results Ready
Name
hrnet_pose
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 192, 3]Completion Time
8/2/2025, 8:11:44 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
2.60 ms
Estimated Peak Memory Usage
0 ‑ 120 MB
Compute Units
NPU
516
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.86 s | 385‑386 MB |
Subsequent App Load | 3.67 s | 428‑432 MB |
Inference | 2.60 ms | 0‑120 MB |
| TensorFlow Lite | 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.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device