Profile Job Results
Jobs
jpeydjj85
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: uint16[1, 3, 256, 256]Completion Time
7/25/2026, 10:50:41 PM
Versions
- ONNX Runtime: 1.27.1
- QAIRT: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
24.4 ms
Estimated Peak Memory Usage
1 ‑ 697 MB
Compute Units
NPU
672
| Stage | Time | Memory |
|---|---|---|
First App Load | 38.8 s | 886‑893 MB |
Subsequent App Load | 458 ms | 218‑914 MB |
Inference | 24.4 ms | 1‑697 MB |
| ONNX Runtime | Value |
|---|---|
| execution_mode | SEQUENTIAL |
| intra_op_num_threads | 0 |
| inter_op_num_threads | 0 |
| enable_memory_pattern | false |
| enable_cpu_memory_arena | false |
| graph_optimization_level | ENABLE_ALL |
| QNN Execution Provider | Value |
|---|---|
| htp_performance_mode | "burst" |
| htp_graph_finalization_optimization_mode | "3" |
| enable_htp_fp16_precision | "1" |
| capture_network_visualizations | false |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device