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FFNet-78S-Quantized

Profile Job Results

Jobs
jgke1kwyg
Results Ready
Name
ffnet_78s_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
1/8/2025, 9:55:02 AM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
338 ms
Estimated Peak Memory Usage
1 ‑ 8 MB
Compute Units
NPU
153
StageTimeMemory
First App Load
751 ms1‑3 MB
Subsequent App Load
513 ms1‑3 MB
Inference
338 ms1‑8 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

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