Profile Job Results
Jobs
j5m6mwkyg
Results Ready
Name
pidnet
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
8/24/2025, 6:24:26 AM
Options
--qairt_version latestVersions
- QAIRT: v2.37.0.250724175447_124859-auto
- QNN Backend API: 5.37.0
- QNN Core API: 2.27.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
117 ms
Estimated Peak Memory Usage
24 ‑ 94 MB
Compute Units
NPU
206
| Stage | Time | Memory |
|---|---|---|
First App Load | 18.5 s | 330‑340 MB |
Subsequent App Load | 19.2 s | 320‑480 MB |
Inference | 117 ms | 24‑94 MB |
| QNN | Value |
|---|---|
| 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device