Profile Job Results
Jobs
jp29jx7qg
Results Ready
Name
bisenet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 720, 960, 3]Completion Time
8/3/2025, 12:43:48 AM
Versions
- TensorFlow Lite: 2.17.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
71.3 ms
Estimated Peak Memory Usage
46 ‑ 139 MB
Compute Units
GPU
68
| Stage | Time | Memory |
|---|---|---|
First App Load | 42.8 s | 212‑219 MB |
Subsequent App Load | 43.3 s | 227‑328 MB |
Inference | 71.3 ms | 46‑139 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