Profile Job Results
Jobs
jn5qd2xng
Results Ready
Name
unet_segmentation
Target Device
- SA8775 (Proxy)
- Android 13
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
8/27/2024, 8:24:33 AM
Versions
- QNN: v2.25.0.240728104910_97711
- QNN Backend API: 5.25.0
- QNN Core API: 2.18.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
138 ms
Estimated Peak Memory Usage
10 - 11 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 403 ms | 1-2 MB |
Subsequent App Load | 207 ms | 1-2 MB |
Inference | 138 ms | 10-11 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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