Hi,
I have tried the Ahead of time(AOT) complied executable bundles in glow using  this 3 documentation.
These are the two models which i have tried(Pytorch models converted to ONNX model).

Resnet 18
VGG 16

Command for compiling the model to glow AOT bundles
model-compiler -backend=CPU -target=x86-64 -model=model.onnx -emit-bundle=./Model -bundle-api=dynamic
Command for generating executable
clang++ main.cpp model.o -lpng -o Model
Glow bundle Inference time vs Pytorch model inference time:
System configuration:
CPU: i3-6006U
RAM: 8 GB
OS: Ubuntu 16.04
LLVM Version: 8.0.1
Clang Version: 8.0.1
1) Resnet 18:
Glow Bundle: 620 ms
Pytorch : 100 ms
2) VGG 16:
Glow Bundle: 7680ms
Pytorch: 410ms
Questions:

why there is a huge gap in glow and Pytorch inference performance?
Is there any way i can improve the glow compiled model inference time?

Thanks and Regards
Adithya