Profile Job Results
Jobs
jgn64xwr5
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
1/8/2025, 2:02:13 AM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
115 ms
Estimated Peak Memory Usage
9 ‑ 92 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.49 s | 990‑997 MB |
Subsequent App Load | 5.59 s | 1 GB |
Inference | 115 ms | 9‑92 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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