Profile Job Results
Jobs
j57e6xdrp
Results Ready
Name
bevdet_decoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
bev_feature: float32[1, 64, 128, 128]Completion Time
9/19/2026, 1:29:19 PM
Options
--qairt_version latestVersions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
8.75 ms
Estimated Peak Memory Usage
1 ‑ 204 MB
Compute Units
NPU
52
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.06 s | 421‑427 MB |
Subsequent App Load | 204 ms | 94‑295 MB |
Inference | 8.75 ms | 1‑204 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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