Profile Job Results
Jobs
jpv729ejp
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, 256, 256, 3]Completion Time
8/9/2026, 1:01:29 AM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
20.9 ms
Estimated Peak Memory Usage
0 ‑ 580 MB
Compute Units
NPU
669
| Stage | Time | Memory |
|---|---|---|
First App Load | 26.9 s | 684‑691 MB |
Subsequent App Load | 293 ms | 127‑709 MB |
Inference | 20.9 ms | 0‑580 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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