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FFNet-78S-Quantized

Profile Job Results

Jobs
jn5q41x7g
Results Ready
Name
ffnet_78s_quantized
Target Device
  • QCS8250 (Proxy)
  • Android 12
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
8/11/2024, 7:58:55 AM
Versions
  • TensorFlow Lite: 2.16.1
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2024.08.01.0
Estimated Inference Time
220 ms
Estimated Peak Memory Usage
1 - 4 MB
Compute Units
NPU
156
StageTimeMemory
First App Load
708 ms3-5 MB
Subsequent App Load
565 ms1-3 MB
Inference
220 ms1-4 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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