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SqueezeNet-1_1Quantized

Profile Job Results

Jobs
jp3n917z5
Results Ready
Name
squeezenet1_1_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
3/11/2025, 8:10:26 PM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
4.30 ms
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
43
StageTimeMemory
First App Load
230 ms0‑2 MB
Subsequent App Load
66.4 ms0‑2 MB
Inference
4.30 ms0‑3 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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