Profile Job Results
Jobs
jpryy1jkg
Results Ready
Name
pspnet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 473, 473, 3]Completion Time
1/31/2026, 11:37:11 PM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
1.33 s
Estimated Peak Memory Usage
0 ‑ 718 MB
Compute Units
NPU
269
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.73 min | 991‑1,000 MB |
Subsequent App Load | 1.14 s | 167‑886 MB |
Inference | 1.33 s | 0‑718 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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