Profile Job Results
Jobs
jp836k2qg
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
4/5/2026, 2:48:29 PM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
24.4 ms
Estimated Peak Memory Usage
0 ‑ 276 MB
Compute Units
NPU
349
| Stage | Time | Memory |
|---|---|---|
First App Load | 20.8 s | 389‑397 MB |
Subsequent App Load | 907 ms | 95‑364 MB |
Inference | 24.4 ms | 0‑276 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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