Profile Job Results
Jobs
jg9dolnl5
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, 4:51:03 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- 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
2 ‑ 149 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.86 s | 200‑206 MB |
Subsequent App Load | 591 ms | 38‑185 MB |
Inference | 87.6 ms | 2‑149 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device