Profile Job Results
Jobs
jg9wwnylp
Results Ready
Name
bevfusion_det_float_BEVFusionDecoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
x: float32[1, 80, 128, 128]Completion Time
10/26/2025, 5:40:42 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
12.5 ms
Estimated Peak Memory Usage
5 ‑ 8 MB
Compute Units
NPU
158
| Stage | Time | Memory |
|---|---|---|
First App Load | 193 ms | 1‑2 MB |
Subsequent App Load | 181 ms | 1‑2 MB |
Inference | 12.5 ms | 5‑8 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device