Profile Job Results
Jobs
jpyd3q3lp
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder3
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, 1993728, 80]length: int32[1, 59000]Completion Time
1/11/2026, 7:33:21 AM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.23.0
- QAIRT: v2.37.1.250807093845_124904
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
455 ms
Estimated Peak Memory Usage
587 ‑ 607 MB
Compute Units
NPU
20
| Stage | Time | Memory |
|---|---|---|
First App Load | 523 ms | 20‑27 MB |
Subsequent App Load | 357 ms | 1‑8 MB |
Inference | 455 ms | 587‑607 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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