Profile Job Results
Jobs
jgnml98jp
Results Ready
Name
lama_dilated
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 512, 512, 3]mask: float32[1, 512, 512, 1]Completion Time
7/6/2025, 6:13:35 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN TfLite Delegate: v2.34.2.250528164111_119506-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.06.25.0
Estimated Inference Time
429 ms
Estimated Peak Memory Usage
3 ‑ 138 MB
Compute Units
NPU
340
| Stage | Time | Memory |
|---|---|---|
First App Load | 25.7 s | 676‑685 MB |
Subsequent App Load | 26.4 s | 710‑940 MB |
Inference | 429 ms | 3‑138 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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