Profile Job Results
Jobs
j5m6ydz7g
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
10/5/2025, 6:19:12 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
45.1 ms
Estimated Peak Memory Usage
3 ‑ 200 MB
Compute Units
NPU
131
| Stage | Time | Memory |
|---|---|---|
First App Load | 20.9 s | 579‑586 MB |
Subsequent App Load | 21.9 s | 1 GB |
Inference | 45.1 ms | 3‑200 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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