Profile Job Results
Jobs
jp0v6xw6g
Results Ready
Name
efficientnet_lite4
Target Device
- Dragonwing RB3 Gen 2 Vision Kit
- Qualcomm Linux 1.6
- Qualcomm® Dragonwing™ RB3 Gen 2 | QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 300, 300, 3]Completion Time
7/13/2026, 11:41:02 PM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 1.6-ver.1.2
- AI Hub: aihub-2026.07.02.0
Estimated Inference Time
5.83 ms
Estimated Peak Memory Usage
0 ‑ 31 MB
Compute Units
NPU
123
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.88 s | 231‑232 MB |
Subsequent App Load | 224 ms | 32‑33 MB |
Inference | 5.83 ms | 0‑31 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