Profile Job Results
Jobs
j579ezjng
Results Ready
Name
efficientnet_lite4
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 300, 300, 3]Completion Time
8/8/2026, 2:10:18 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-2026.07.31.1
Estimated Inference Time
2.22 ms
Estimated Peak Memory Usage
1 ‑ 102 MB
Compute Units
NPU
182
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.63 s | 194‑201 MB |
Subsequent App Load | 174 ms | 1‑101 MB |
Inference | 2.22 ms | 1‑102 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