Profile Job Results
Jobs
j576mnn9g
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
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
6/13/2026, 3:03:59 PM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
3.72 ms
Estimated Peak Memory Usage
0 ‑ 182 MB
Compute Units
NPU
369
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.33 s | 164‑171 MB |
Subsequent App Load | 186 ms | 50‑234 MB |
Inference | 3.72 ms | 0‑182 MB |
| Lite RT | 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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