Profile Job Results
Jobs
jp39ydnmp
Results Ready
Name
bevdet_decoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® Dragonwing™ QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
bev_feature: float32[1, 64, 128, 128]Completion Time
9/5/2026, 4:00:57 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
12.0 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.10 s | 184‑185 MB |
Subsequent App Load | 219 ms | 38‑233 MB |
Inference | 12.0 ms | 1‑3 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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