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FFNet-78S-Quantized

Profile Job Results

Jobs
jpy1lykrp
Results Ready
Name
ffnet_78s_quantized
Target Device
  • Snapdragon 8 Elite QRD
  • Android 15
  • Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]
Completion Time
1/8/2025, 9:55:19 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 15 (AQ3A.240829.003)
  • Build ID: Pakala.LA.1.0.r1-01032-STD.PROD-1
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
7.36 ms
Estimated Peak Memory Usage
0 ‑ 37 MB
Compute Units
NPU
153
StageTimeMemory
First App Load
1.43 s260‑267 MB
Subsequent App Load
1.43 s194‑241 MB
Inference
7.36 ms0‑37 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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