Profile Job Results
Jobs
jp80j4o8g
Results Ready
Name
fcn_resnet50
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
5/21/2025, 3:27:34 AM
Versions
- QAIRT: v2.32.6.250402152434_116405
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.05.14.0
Estimated Inference Time
32.2 ms
Estimated Peak Memory Usage
3 ‑ 108 MB
Compute Units
NPU
129
| Stage | Time | Memory |
|---|---|---|
First App Load | 11.6 s | 505‑513 MB |
Subsequent App Load | 12.1 s | 537‑753 MB |
Inference | 32.2 ms | 3‑108 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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