Profile Job Results
Jobs
j5q3xrlmp
Results Ready
Name
unet_segmentation_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
12/13/2025, 5:38:48 PM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
307 ms
Estimated Peak Memory Usage
9 ‑ 161 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 12.5 s | 643‑652 MB |
Subsequent App Load | 13.2 s | 1 GB |
Inference | 307 ms | 9‑161 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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