Profile Job Results
Jobs
jp02rrze5
Results Ready
Name
deeplabv3_resnet50
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
7/20/2025, 1:01:13 AM
Options
--compute_unit gpuVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
609 ms
Estimated Peak Memory Usage
29 ‑ 52 MB
Compute Units
GPU
100
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 51.9 s | 420‑431 MB |
Subsequent App Load | 51.8 s | 396‑422 MB |
Inference | 609 ms | 29‑52 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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