Profile Job Results
Jobs
j579y3nvg
Results Ready
Name
resnet_mixed
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
video: float32[1, 16, 112, 112, 15]Completion Time
7/26/2026, 1:14:18 AM
Versions
- Lite RT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
1.23 s
Estimated Peak Memory Usage
0 ‑ 829 MB
Compute Units
NPU
63
| Stage | Time | Memory |
|---|---|---|
First App Load | 34.7 s | 892‑899 MB |
Subsequent App Load | 311 ms | 34‑865 MB |
Inference | 1.23 s | 0‑829 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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