Profile Job Results
Jobs
jp1n36k2g
Results Ready
Name
nafnet_deblur
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 360, 640, 3]Completion Time
9/19/2026, 7:39:17 PM
Options
--qairt_version latestVersions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
80.4 ms
Estimated Peak Memory Usage
1 ‑ 559 MB
Compute Units
NPU
1480
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.05 min | 702‑708 MB |
Subsequent App Load | 630 ms | 79‑643 MB |
Inference | 80.4 ms | 1‑559 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
| htp_options.device_id | 1 |
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