Profile Job Results
Jobs
j5qmq3lmg
Results Ready
Name
efficientnet_lite4
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 300, 300, 3]Completion Time
7/1/2026, 3:35:16 AM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.06.19.2
Estimated Inference Time
2.12 ms
Estimated Peak Memory Usage
0 ‑ 54 MB
Compute Units
NPU
123
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.07 s | 118‑124 MB |
Subsequent App Load | 193 ms | 29‑86 MB |
Inference | 2.12 ms | 0‑54 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| 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







