Profile Job Results
Jobs
jgl0m6r2g
Results Ready
Name
bevfusion_det_BEVFusionEncoder2
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
img: float32[1, 6, 256, 32, 88]intrins: float32[1, 6, 3, 3]camera2lidars: float32[1, 6, 4, 4]inv_post_rots: float32[1, 6, 3, 3]post_trans: float32[1, 6, 1, 3]Completion Time
3/14/2026, 1:22:13 PM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.24.1
- QAIRT: v2.42.0.251225135753_193295
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
2.75 s
Estimated Peak Memory Usage
538 ‑ 545 MB
Compute Units
NPU
283
| Stage | Time | Memory |
|---|---|---|
First App Load | 789 ms | 51‑58 MB |
Subsequent App Load | 513 ms | 2‑9 MB |
Inference | 2.75 s | 538‑545 MB |
| ONNX Runtime | Value |
|---|---|
| execution_mode | SEQUENTIAL |
| intra_op_num_threads | 0 |
| inter_op_num_threads | 0 |
| enable_memory_pattern | false |
| enable_cpu_memory_arena | false |
| graph_optimization_level | ENABLE_ALL |
| QNN Execution Provider | Value |
|---|---|
| htp_performance_mode | "burst" |
| htp_graph_finalization_optimization_mode | "3" |
| enable_htp_fp16_precision | "1" |
| capture_network_visualizations | false |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device