Profile Job Results
Jobs
jp4vd67vp
Results Ready
Name
litehrnet_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 256, 192]Completion Time
10/26/2025, 2:35:53 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.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
8.92 ms
Estimated Peak Memory Usage
0 ‑ 59 MB
Compute Units
NPU
1110
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.16 s | 188‑198 MB |
Subsequent App Load | 8.72 s | 180‑339 MB |
Inference | 8.92 ms | 0‑59 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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