Profile Job Results
Jobs
jgjllyq8p
Results Ready
Name
fcn_resnet50_float
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
2/1/2026, 6:10:36 AM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
33.4 ms
Estimated Peak Memory Usage
0 ‑ 382 MB
Compute Units
NPU
131
| Stage | Time | Memory |
|---|---|---|
First App Load | 15.3 s | 616‑623 MB |
Subsequent App Load | 188 ms | 0‑384 MB |
Inference | 33.4 ms | 0‑382 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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