Profile Job Results
Jobs
jp29jk9qg
Results Ready
Name
efficientvit_l2_cls
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
8/2/2025, 10:00:44 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
7.16 ms
Estimated Peak Memory Usage
0 ‑ 308 MB
Compute Units
NPU
349
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.47 s | 987‑988 MB |
Subsequent App Load | 6.48 s | 1,005‑1,010 MB |
Inference | 7.16 ms | 0‑308 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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