Profile Job Results
Jobs
j5mvew6y5
Results Ready
Name
efficientnet_b4
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
5/3/2026, 3:24:54 AM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
2.40 ms
Estimated Peak Memory Usage
0 ‑ 145 MB
Compute Units
NPU
482
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.65 s | 213‑220 MB |
Subsequent App Load | 183 ms | 49‑192 MB |
Inference | 2.40 ms | 0‑145 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device