Profile Job Results
Jobs
jogk62yw5
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S23 Ultra
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
8/11/2024, 6:13:04 AM
Versions
- QNN: v2.24.0.240626131148_96320
- QNN Backend API: 5.24.0
- QNN Core API: 2.17.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
152 ms
Estimated Peak Memory Usage
10 - 29 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.47 s | 868-869 MB |
Subsequent App Load | 5.09 s | 653-878 MB |
Inference | 152 ms | 10-29 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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