Profile Job Results
Jobs
jglyr9185
Results Ready
Name
bevfusion_det_encoder_2
Target Device
- Samsung Galaxy S26
- Android 16
- Snapdragon® 8 Elite Gen 5 for Galaxy | SM8850-AD
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
camera2lidars: float32[1, 6, 4, 4]img: float32[1, 6, 256, 32, 88]post_trans: float32[1, 6, 1, 3]inv_post_rots: float32[1, 6, 3, 3]intrins: float32[1, 6, 3, 3]Completion Time
10/3/2026, 9:54:29 AM
Versions
- ONNX Runtime: 1.30.0
- QAIRT: v2.50.0.260828221209
- Android: 16 (BP4A.251205.006)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
2.27 s
Estimated Peak Memory Usage
492 ‑ 499 MB
Compute Units
NPU
318
| Stage | Time | Memory |
|---|---|---|
First App Load | 687 ms | 28‑37 MB |
Subsequent App Load | 377 ms | 21‑29 MB |
Inference | 2.27 s | 492‑499 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