Profile Job Results
Jobs
jp1n3wdlg
Results Ready
Name
efficientnet_lite4
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 300, 300, 3]Completion Time
9/19/2026, 2:17:18 PM
Options
--qairt_version latestVersions
- Lite RT: 1.4.2
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
36.4 ms
Estimated Peak Memory Usage
0 ‑ 28 MB
Compute Units
GPU
121
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.73 s | 105‑110 MB |
Subsequent App Load | 866 ms | 81‑113 MB |
Inference | 36.4 ms | 0‑28 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| GPUv2 Delegate | Value |
|---|---|
| inference_preference | TFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED |
| inference_priority1 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY |
| inference_priority2 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE |
| inference_priority3 | TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION |
Sign up to run this model on a hosted Qualcomm® device!
Run on device