Profile Job Results
Jobs
jp8366ekg
Results Ready
Name
resnet_3d
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
4/5/2026, 6:53:22 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
211 ms
Estimated Peak Memory Usage
0 ‑ 277 MB
Compute Units
NPU
57
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.01 s | 524‑531 MB |
Subsequent App Load | 239 ms | 31‑306 MB |
Inference | 211 ms | 0‑277 MB |
| TensorFlow Lite | 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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