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FFNet-40S-Quantized

Profile Job Results

Jobs
jgo2o3o1p
Results Ready
Name
ffnet_40s_quantized
Target Device
  • QCS8250 (Proxy)
  • Android 12
  • Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
11/26/2024, 1:25:33 PM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
189 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
99
StageTimeMemory
First App Load
494 ms2‑3 MB
Subsequent App Load
190 ms1‑3 MB
Inference
189 ms1‑3 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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