Profile Job Results
Jobs
jp31k3elg
Results Ready
Name
efficientvit_b2_cls
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
9/28/2025, 9:28:58 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
3.40 ms
Estimated Peak Memory Usage
0 ‑ 119 MB
Compute Units
NPU
379
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.77 s | 580‑587 MB |
Subsequent App Load | 2.88 s | 632‑894 MB |
Inference | 3.40 ms | 0‑119 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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