Profile Job Results
Jobs
jp39k4dxp
Results Ready
Name
pidnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
9/6/2026, 3:15:04 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
25.5 ms
Estimated Peak Memory Usage
16 ‑ 323 MB
Compute Units
NPU
212
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.75 s | 319‑326 MB |
Subsequent App Load | 196 ms | 110‑419 MB |
Inference | 25.5 ms | 16‑323 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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