Profile Job Results
Jobs
jpxy6we8g
Results Ready
Name
ffnet_78s_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
10/26/2025, 5:30:04 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: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
76.5 ms
Estimated Peak Memory Usage
2 ‑ 80 MB
Compute Units
NPU
151
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.79 s | 383‑389 MB |
Subsequent App Load | 5.86 s | 360‑518 MB |
Inference | 76.5 ms | 2‑80 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device