Profile Job Results
Jobs
jpx4v7j9g
Results Ready
Name
resnet_3d
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
9/6/2026, 3:21:00 AM
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-2026.08.28.1
Estimated Inference Time
308 ms
Estimated Peak Memory Usage
0 ‑ 261 MB
Compute Units
NPU
58
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.12 s | 575‑584 MB |
Subsequent App Load | 259 ms | 66‑327 MB |
Inference | 308 ms | 0‑261 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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