Profile Job Results
Jobs
jgkyynovp
Results Ready
Name
bevfusion_det_float_BEVFusionDecoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
x: float32[1, 80, 128, 128]Completion Time
2/1/2026, 12:22:26 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
9.85 ms
Estimated Peak Memory Usage
5 ‑ 12 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 175 ms | 0‑7 MB |
Subsequent App Load | 152 ms | 0‑8 MB |
Inference | 9.85 ms | 5‑12 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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