Profile Job Results
Jobs
jp41vqoqp
Results Ready
Name
ddrnet23_slim
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
8/22/2026, 10:44:29 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
22.4 ms
Estimated Peak Memory Usage
1 ‑ 281 MB
Compute Units
NPU
133
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.13 s | 289‑296 MB |
Subsequent App Load | 218 ms | 86‑364 MB |
Inference | 22.4 ms | 1‑281 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







