Profile Job Results
Jobs
jgn1v10mp
Results Ready
Name
rtmpose_body2d
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 256, 192]Completion Time
10/4/2026, 2:46:57 AM
Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
1.36 ms
Estimated Peak Memory Usage
0 ‑ 75 MB
Compute Units
NPU
254
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 773 ms | 306‑313 MB |
Subsequent App Load | 215 ms | 38‑114 MB |
Inference | 1.36 ms | 0‑75 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device