Profile Job Results
Jobs
jp2k4moxp
Results Ready
Name
deeplabv3_resnet50
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image
: float32[1, 520, 520, 3]Completion Time
11/26/2024, 3:20:07 PM
Options
--compute_unit gpu
Versions
- TensorFlow Lite: 2.17.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
207 ms
Estimated Peak Memory Usage
21 ‑ 46 MB
Compute Units
GPU
98
CPU
2
Stage | Time | Memory |
---|---|---|
First App Load | 34.7 s | 429‑437 MB |
Subsequent App Load | 238 ms | 43‑77 MB |
Inference | 207 ms | 21‑46 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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