Profile Job Results
Jobs
jper9l31g
Results Ready
Name
bevfusion_det_encoder_2
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
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
4/25/2026, 12:15:05 PM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.24.3
- QAIRT: v2.42.0.251225135753_193295
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
2.70 s
Estimated Peak Memory Usage
580 ‑ 586 MB
Compute Units
NPU
283
| Stage | Time | Memory |
|---|---|---|
First App Load | 963 ms | 48‑55 MB |
Subsequent App Load | 486 ms | 1‑8 MB |
Inference | 2.70 s | 580‑586 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" |
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