Profile Job Results
Jobs
jpvvl7wjp
Results Ready
Name
ffnet_40s_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, 1024, 2048, 3]Completion Time
11/30/2025, 3:41:57 AM
Options
--qairt_version latestVersions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
23.7 ms
Estimated Peak Memory Usage
23 ‑ 89 MB
Compute Units
NPU
143
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.71 s | 417‑425 MB |
Subsequent App Load | 4.85 s | 452‑704 MB |
Inference | 23.7 ms | 23‑89 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