Profile Job Results
Jobs
jgk4zy6yp
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
9/6/2026, 2:10:26 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
102 ms
Estimated Peak Memory Usage
9 ‑ 526 MB
Compute Units
NPU
51
| Stage | Time | Memory |
|---|---|---|
First App Load | 28.1 s | 569‑576 MB |
Subsequent App Load | 199 ms | 146‑664 MB |
Inference | 102 ms | 9‑526 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device