Profile Job Results
Jobs
jp43lym15
Results Ready
Name
efficientnet_lite4
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, 300, 300, 3]Completion Time
7/25/2026, 5:38:35 PM
Versions
- Lite RT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.17.0
Estimated Inference Time
2.19 ms
Estimated Peak Memory Usage
0 ‑ 113 MB
Compute Units
NPU
121
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.58 s | 169‑176 MB |
Subsequent App Load | 176 ms | 20‑133 MB |
Inference | 2.19 ms | 0‑113 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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