Profile Job Results
Jobs
j5mzxon9p
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder3
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
img: float32[1, 1993728, 80]length: int32[1, 59000]Completion Time
1/11/2026, 7:22:31 AM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.23.0
- QAIRT: v2.37.1.250807093845_124904
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
552 ms
Estimated Peak Memory Usage
608 ‑ 611 MB
Compute Units
NPU
20
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.59 s | 20‑21 MB |
Subsequent App Load | 634 ms | 14‑16 MB |
Inference | 552 ms | 608‑611 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