Profile Job Results
Jobs
jgn3m78q5
Results Ready
Name
unet_segmentation_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
10/25/2025, 2:49:19 PM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
140 ms
Estimated Peak Memory Usage
11 ‑ 58 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 26.5 s | 592‑594 MB |
Subsequent App Load | 26.6 s | 616‑619 MB |
Inference | 140 ms | 11‑58 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| 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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