Profile Job Results
Jobs
jp2wmx9xp
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
8/22/2026, 1:41:32 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
75.9 ms
Estimated Peak Memory Usage
25 ‑ 390 MB
Compute Units
NPU
93
CPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.82 s | 383‑392 MB |
Subsequent App Load | 245 ms | 49‑415 MB |
Inference | 75.9 ms | 25‑390 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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