Profile Job Results
Jobs
jpr4m6xeg
Results Ready
Name
resnet_3d
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: uint8[1, 16, 112, 112, 3]Completion Time
4/18/2026, 3:04:27 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
253 ms
Estimated Peak Memory Usage
0 ‑ 308 MB
Compute Units
NPU
108
| Stage | Time | Memory |
|---|---|---|
First App Load | 11.6 s | 596‑604 MB |
Subsequent App Load | 274 ms | 67‑376 MB |
Inference | 253 ms | 0‑308 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device