Profile Job Results
Jobs
jgzm7vxzp
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
8/22/2026, 6:00:51 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
312 ms
Estimated Peak Memory Usage
1 ‑ 260 MB
Compute Units
NPU
58
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.14 s | 571‑579 MB |
Subsequent App Load | 237 ms | 66‑326 MB |
Inference | 312 ms | 1‑260 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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