Profile Job Results
Jobs
jpyjdd14p
Results Ready
Name
deeplabv3_resnet50
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
7/20/2025, 12:57:44 AM
Options
--compute_unit gpuVersions
- TensorFlow Lite: 2.17.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
391 ms
Estimated Peak Memory Usage
2 ‑ 185 MB
Compute Units
GPU
100
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 58.6 s | 471‑473 MB |
Subsequent App Load | 59.6 s | 505‑508 MB |
Inference | 391 ms | 2‑185 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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