Profile Job Results
Jobs
jpyddee7p
Results Ready
Name
centernet_3d_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, 384, 1280]Completion Time
2/1/2026, 10:04:38 AM
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
698 ms
Estimated Peak Memory Usage
6 ‑ 14 MB
Compute Units
NPU
1159
| Stage | Time | Memory |
|---|---|---|
First App Load | 408 ms | 2‑9 MB |
Subsequent App Load | 429 ms | 5‑13 MB |
Inference | 698 ms | 6‑14 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