Profile Job Results
Jobs
jpyde8yrp
Results Ready
Name
pidnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
3/8/2026, 8:14:35 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
26.9 ms
Estimated Peak Memory Usage
24 ‑ 343 MB
Compute Units
NPU
206
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.67 s | 322‑329 MB |
Subsequent App Load | 168 ms | 120‑439 MB |
Inference | 26.9 ms | 24‑343 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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