Profile Job Results
Jobs
jpv76enmp
Results Ready
Name
efficientvit_l2_cls
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 3, 384, 384]Completion Time
7/25/2026, 1:49:11 PM
Versions
- Lite RT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
58.4 ms
Estimated Peak Memory Usage
0 ‑ 468 MB
Compute Units
NPU
342
| Stage | Time | Memory |
|---|---|---|
First App Load | 45.7 s | 373‑379 MB |
Subsequent App Load | 1.04 s | 106‑575 MB |
Inference | 58.4 ms | 0‑468 MB |
| Lite RT | 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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