Profile Job Results
Jobs
jgj2v9nx5
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
6/28/2025, 12:45:01 PM
Versions
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN Backend API: 5.34.0
- QNN Core API: 2.25.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
114 ms
Estimated Peak Memory Usage
24 ‑ 93 MB
Compute Units
NPU
206
| Stage | Time | Memory |
|---|---|---|
First App Load | 27.6 s | 291‑300 MB |
Subsequent App Load | 28.9 s | 286‑393 MB |
Inference | 114 ms | 24‑93 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 |
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