Profile Job Results
Jobs
j5m3149yg
Results Ready
Name
pidnet_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
12/13/2025, 10:50:25 PM
Versions
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
50.4 ms
Estimated Peak Memory Usage
23 ‑ 102 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 12.5 s | 302‑308 MB |
Subsequent App Load | 13.1 s | 344‑545 MB |
Inference | 50.4 ms | 23‑102 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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