Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jpyzxrx4g
Results Ready
Name
deeplabv3_resnet50
Target Device
  • Samsung Galaxy S23 (Family)
  • Android 13
  • Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]
Completion Time
3/11/2025, 7:12:50 PM
Options
--compute_unit gpu
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
294 ms
Estimated Peak Memory Usage
0 ‑ 206 MB
Compute Units
GPU
98
CPU
2
StageTimeMemory
First App Load
37.1 s497‑498 MB
Subsequent App Load
36.3 s450‑453 MB
Inference
294 ms0‑206 MB
TensorFlow LiteValue
number_of_threads4
GPUv2 DelegateValue
inference_preferenceTFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED
inference_priority1TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY
inference_priority2TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE
inference_priority3TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION

Sign up to run this model on a hosted Qualcomm® device!

Run on device