Profile Job Results
Jobs
j5q3rj3op
Results Ready
Name
ffnet_78s_lowres_w8a8
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 512, 1024, 3]Completion Time
10/25/2025, 10:30:20 PM
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.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
7.75 ms
Estimated Peak Memory Usage
0 ‑ 41 MB
Compute Units
NPU
153
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 3.92 s | 217‑226 MB | 
| Subsequent App Load | 3.68 s | 242‑361 MB | 
| Inference | 7.75 ms | 0‑41 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 | 
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