Profile Job Results
Jobs
jgzn3004g
Results Ready
Name
bevdet_encoder
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 18, 256, 704]Completion Time
7/25/2026, 8:14:17 PM
Versions
- Lite RT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
70.6 ms
Estimated Peak Memory Usage
2 ‑ 366 MB
Compute Units
NPU
93
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.19 s | 451‑459 MB |
Subsequent App Load | 285 ms | 0‑364 MB |
Inference | 70.6 ms | 2‑366 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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