Profile Job Results
Jobs
jgl2kk1jp
Results Ready
Name
bisenet
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 720, 960, 3]Completion Time
7/20/2025, 2:14:16 AM
Versions
- TensorFlow Lite: 2.17.0
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
278 ms
Estimated Peak Memory Usage
48 ‑ 119 MB
Compute Units
GPU
68
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.02 min | 236‑242 MB |
Subsequent App Load | 3.00 min | 225‑303 MB |
Inference | 278 ms | 48‑119 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 |
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