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Jobs
j57yw23q5
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
1/21/2025, 5:53:33 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
11.9 ms
Estimated Peak Memory Usage
1 ‑ 16 MB
Compute Units
NPU
153
StageTimeMemory
First App Load
1.35 s204‑205 MB
Subsequent App Load
1.38 s209‑211 MB
Inference
11.9 ms1‑16 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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