Profile Job Results
Jobs
jpr4m6k0g
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: uint8[1, 520, 520, 3]Completion Time
4/18/2026, 3:34:18 PM
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-2026.04.13.0
Estimated Inference Time
11.2 ms
Estimated Peak Memory Usage
0 ‑ 263 MB
Compute Units
NPU
131
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.83 s | 229‑236 MB |
Subsequent App Load | 169 ms | 8‑272 MB |
Inference | 11.2 ms | 0‑263 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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