Profile Job Results
Jobs
jp1wjve2g
Results Ready
Name
efficientvit_l2_cls
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
8/24/2025, 5:40:15 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859-auto
- QNN TfLite Delegate: v2.37.0.250724175447_124859-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
23.7 ms
Estimated Peak Memory Usage
3 ‑ 208 MB
Compute Units
NPU
349
| Stage | Time | Memory |
|---|---|---|
First App Load | 18.7 s | 1 GB |
Subsequent App Load | 18.6 s | 1 GB |
Inference | 23.7 ms | 3‑208 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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