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Profile Job Results

Jobs
jpyjdd78p
Results Ready
Name
bisenet
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 720, 960, 3]
Completion Time
7/20/2025, 2:22:44 AM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.07.12.0
Estimated Inference Time
328 ms
Estimated Peak Memory Usage
48 ‑ 92 MB
Compute Units
GPU
68
StageTimeMemory
First App Load
3.12 min154‑163 MB
Subsequent App Load
3.04 min148‑199 MB
Inference
328 ms48‑92 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

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