Profile Job Results
Jobs
jp0l2yj0p
Results Ready
Name
esrgan_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 128, 128, 3]Completion Time
10/25/2025, 11:05:48 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
67.0 ms
Estimated Peak Memory Usage
3 ‑ 46 MB
Compute Units
NPU
1024
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 34.1 s | 812‑813 MB | 
| Subsequent App Load | 33.9 s | 839‑842 MB | 
| Inference | 67.0 ms | 3‑46 MB | 
| TensorFlow Lite | 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.useConvHmx | true | 
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