Profile Job Results
Jobs
j57798ml5
Results Ready
Name
efficientnet_lite4
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 300, 300, 3]Completion Time
7/13/2026, 11:38:59 PM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.07.02.0
Estimated Inference Time
1.74 ms
Estimated Peak Memory Usage
0 ‑ 104 MB
Compute Units
NPU
123
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.13 s | 174‑182 MB |
Subsequent App Load | 183 ms | 1‑108 MB |
Inference | 1.74 ms | 0‑104 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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