Profile Job Results
Jobs
jygz082x5
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, 513, 513, 3]Completion Time
8/27/2024, 9:15:41 AM
Options
--compute_unit gpu
Versions
- TensorFlow Lite: 2.16.1
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
205 ms
Estimated Peak Memory Usage
20 - 46 MB
Compute Units
GPU
95
Stage | Time | Memory |
---|---|---|
First App Load | 33.7 s | 459-466 MB |
Subsequent App Load | 252 ms | 95-128 MB |
Inference | 205 ms | 20-46 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