Profile Job Results
Jobs
jpvvmm6mp
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder4
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
segment: float32[1, 59000, 80]geom: int32[1, 2, 59000]Completion Time
12/7/2025, 5:02:14 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-2025.11.18.0
Estimated Inference Time
9.48 ms
Estimated Peak Memory Usage
31 ‑ 51 MB
Compute Units
NPU
19
| Stage | Time | Memory |
|---|---|---|
First App Load | 203 ms | 6‑14 MB |
Subsequent App Load | 115 ms | 0‑8 MB |
Inference | 9.48 ms | 31‑51 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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