Profile Job Results
Jobs
j56yr1ovp
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
: float32[1, 520, 520, 3]Completion Time
11/26/2024, 3:27:03 PM
Options
--compute_unit gpu
Versions
- 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-2024.11.22.0
Estimated Inference Time
593 ms
Estimated Peak Memory Usage
22 ‑ 44 MB
Compute Units
GPU
98
CPU
2
Stage | Time | Memory |
---|---|---|
First App Load | 37.6 s | 408‑414 MB |
Subsequent App Load | 1.81 s | 305‑330 MB |
Inference | 593 ms | 22‑44 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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