Profile Job Results
Jobs
jgok2dnkp
Results Ready
Name
deeplabv3_resnet50
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
4/8/2025, 6:41:49 PM
Options
--compute_unit gpuVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
229 ms
Estimated Peak Memory Usage
21 ‑ 50 MB
Compute Units
GPU
98
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 34.0 s | 369‑377 MB |
Subsequent App Load | 34.6 s | 437‑478 MB |
Inference | 229 ms | 21‑50 MB |
| TensorFlow Lite | 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