Profile Job Results
Jobs
jp39mle3p
Results Ready
Name
resnet_2plus1d
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
video: uint8[1, 16, 112, 112, 3]Completion Time
8/23/2026, 12:13:09 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
1.52 s
Estimated Peak Memory Usage
1 ‑ 439 MB
Compute Units
NPU
197
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.09 min | 410‑415 MB |
Subsequent App Load | 808 ms | 65‑504 MB |
Inference | 1.52 s | 1‑439 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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