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FFNet-78S-Quantized

Profile Job Results

Jobs
jgn0n34r5
Results Ready
Name
ffnet_78s_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
3/11/2025, 9:03:14 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.32.0.250228225014_116386
  • QNN TfLite Delegate: v2.32.0.250228225014_116386
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
10.8 ms
Estimated Peak Memory Usage
0 ‑ 16 MB
Compute Units
NPU
153
StageTimeMemory
First App Load
1.46 s188‑189 MB
Subsequent App Load
1.45 s212‑215 MB
Inference
10.8 ms0‑16 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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