Profile Job Results
Jobs
jgjeenzx5
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder1
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
imgs: float32[1, 18, 256, 704]Completion Time
10/26/2025, 4:16:51 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
733 ms
Estimated Peak Memory Usage
13 ‑ 16 MB
Compute Units
NPU
637
| Stage | Time | Memory |
|---|---|---|
First App Load | 960 ms | 2‑3 MB |
Subsequent App Load | 951 ms | 17‑19 MB |
Inference | 733 ms | 13‑16 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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