Profile Job Results
Jobs
jp1649o75
Results Ready
Name
resnet_3d
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
video: uint8[1, 16, 112, 112, 15]Completion Time
7/25/2026, 10:01:15 PM
Versions
- Lite RT: 1.4.4
- 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-2026.07.17.0
Estimated Inference Time
2.55 s
Estimated Peak Memory Usage
1 ‑ 820 MB
Compute Units
NPU
114
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.22 min | 917‑922 MB |
Subsequent App Load | 1.07 s | 73‑893 MB |
Inference | 2.55 s | 1‑820 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device