Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
FFNet-78S-Quantized

Profile Job Results

Jobs
jgkeo37wg
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
11/26/2024, 1:05:44 PM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
216 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
156
StageTimeMemory
First App Load
743 ms3‑4 MB
Subsequent App Load
524 ms1‑4 MB
Inference
216 ms1‑3 MB
TensorFlow LiteValue
number_of_threads4
NNAPI DelegateValue
accelerator_name"qti-dsp"
execution_preferencekSustainedSpeed
allow_fp16true

Sign up to run this model on a hosted Qualcomm® device!

Run on device