Profile Job Results
Jobs
j5qv670og
Results Ready
Name
bevfusion_det_encoder_3
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
segment: float32[1, 59000, 80]geom: int32[1, 2, 59000]Completion Time
7/25/2026, 10:43:03 AM
Versions
- ONNX Runtime: 1.27.1
- QAIRT: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
9.17 ms
Estimated Peak Memory Usage
33 ‑ 40 MB
Compute Units
NPU
22
| Stage | Time | Memory |
|---|---|---|
First App Load | 279 ms | 14‑20 MB |
Subsequent App Load | 189 ms | 2‑10 MB |
Inference | 9.17 ms | 33‑40 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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