Profile Job Results
Jobs
j56woye6g
Results Ready
Name
bevdet_decoder
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
bev_feature: float32[1, 64, 128, 128]Completion Time
8/8/2026, 4:56:37 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
87.6 ms
Estimated Peak Memory Usage
1 ‑ 145 MB
Compute Units
NPU
73
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.95 s | 176‑181 MB |
Subsequent App Load | 450 ms | 1‑146 MB |
Inference | 87.6 ms | 1‑145 MB |
| QNN | Value |
|---|---|
| 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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