Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
ResNet18Quantized

Profile Job Results

Jobs
jgjv98vxg
Results Ready
Name
resnet18_quantized
Target Device
  • QCS8250 (Proxy)
  • Android 12
  • Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
1/8/2025, 9:31:54 AM
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 11 (RP1A.200720.012)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
7.41 ms
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
41
StageTimeMemory
First App Load
374 ms0‑3 MB
Subsequent App Load
99.2 ms0‑3 MB
Inference
7.41 ms0‑3 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