Profile Job Results
Jobs
j5wqq6365
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder4
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
segment: float32[1, 59000, 80]geom: int32[1, 2, 59000]Completion Time
10/26/2025, 4:24:48 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
12.6 ms
Estimated Peak Memory Usage
19 ‑ 21 MB
Compute Units
NPU
19
| Stage | Time | Memory |
|---|---|---|
First App Load | 193 ms | 0‑2 MB |
Subsequent App Load | 173 ms | 6‑7 MB |
Inference | 12.6 ms | 19‑21 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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