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Qualcomm® AI Hub Models
MobileNet-v3-Large-Quantized

Profile Job Results

Jobs
j1pvn9nmg
Results Ready
Name
mobilenet_v3_large_quantized
Target Device
  • QCS8250 (Proxy)
  • Android 12
  • Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
8/27/2024, 6:57:45 PM
Versions
  • TensorFlow Lite: 2.16.1
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2024.08.23.0
Estimated Inference Time
6.83 ms
Estimated Peak Memory Usage
0 - 4 MB
Compute Units
NPU
137
StageTimeMemory
First App Load
437 ms1-2 MB
Subsequent App Load
215 ms1-2 MB
Inference
6.83 ms0-4 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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