Profile Job Results
Jobs
jp29mmkmg
Results Ready
Name
deeplabv3_resnet50
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
7/20/2025, 12:58:43 AM
Options
--compute_unit gpuVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
302 ms
Estimated Peak Memory Usage
30 ‑ 51 MB
Compute Units
GPU
100
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 55.2 s | 353‑360 MB |
Subsequent App Load | 1.14 min | 410‑438 MB |
Inference | 302 ms | 30‑51 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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