Profile Job Results
Jobs
jp4ww8mvg
Results Ready
Name
pidnet_float
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
1/31/2026, 11:38:22 PM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
26.6 ms
Estimated Peak Memory Usage
24 ‑ 340 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.08 s | 319‑326 MB |
Subsequent App Load | 179 ms | 42‑360 MB |
Inference | 26.6 ms | 24‑340 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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