Profile Job Results
Jobs
j576lx8vg
Results Ready
Name
nafnet_denoise
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 256, 256, 3]Completion Time
5/30/2026, 6:17:34 PM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.05.27.0
Estimated Inference Time
28.8 ms
Estimated Peak Memory Usage
0 ‑ 1 GB
Compute Units
NPU
1331
| Stage | Time | Memory |
|---|---|---|
First App Load | 34.4 s | 864‑871 MB |
Subsequent App Load | 361 ms | 0‑2 GB |
Inference | 28.8 ms | 0‑1 GB |
| 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