Profile Job Results
Jobs
jgdol4lep
Results Ready
Name
unet_segmentation_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
1/10/2026, 7:03:09 PM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
274 ms
Estimated Peak Memory Usage
0 ‑ 244 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 35.8 s | 606‑612 MB |
Subsequent App Load | 215 ms | 0‑244 MB |
Inference | 274 ms | 0‑244 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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