Profile Job Results
Jobs
jpyjxqx0p
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
8/24/2025, 3:19:58 AM
Options
--qairt_version latestVersions
- QAIRT: v2.37.0.250724175447_124859
- QNN Backend API: 5.37.0
- QNN Core API: 2.27.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
45.8 ms
Estimated Peak Memory Usage
3 ‑ 200 MB
Compute Units
NPU
130
| Stage | Time | Memory |
|---|---|---|
First App Load | 20.3 s | 584‑592 MB |
Subsequent App Load | 22.2 s | 610‑1,016 MB |
Inference | 45.8 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device