Profile Job Results
Jobs
jp1ewrvng
Results Ready
Name
ffnet_54s_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
10/26/2025, 1:31:32 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN TfLite Delegate: v2.39.0.250925215840_163802-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
63.1 ms
Estimated Peak Memory Usage
3 ‑ 66 MB
Compute Units
NPU
115
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.65 s | 287‑297 MB |
Subsequent App Load | 7.74 s | 332‑477 MB |
Inference | 63.1 ms | 3‑66 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
| htp_options.device_id | 1 |
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