Profile Job Results
Jobs
jgnee2yrg
Results Ready
Name
centernet_2d_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, 3, 512, 512]Completion Time
2/1/2026, 12:11:59 PM
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
303 ms
Estimated Peak Memory Usage
3 ‑ 11 MB
Compute Units
NPU
1086
| Stage | Time | Memory |
|---|---|---|
First App Load | 352 ms | 1‑8 MB |
Subsequent App Load | 370 ms | 1‑9 MB |
Inference | 303 ms | 3‑11 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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