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Using Intel® Model Zoo on Windows Systems

Prerequisites for running on bare metal

Basic requirements for running all TensorFlow models on Windows include:

   pacman -S git patch unzip
  • Install intel-tensorflow
  • Install the common models dependencies:
    • python-tk
    • libsm6
    • libxext6
    • requests

Individual models may have additional dependencies that need to be installed before running it. Please follow the instructions in each model documentation.

Run TensorFlow models

The following list of models are tested on Windows, please check each model instructions from the Run from the Model Zoo repository column based on the available precisions.

Note that on Windows systems all of the system cores will be used. For users of Windows desktop/laptops, it is strongly encouraged to instead use the batch file provided here to open a Windows command prompt pre-configured with optimized settings to achieve high AI workload performance on Intel hardware (e.g. TigerLake & AlderLake) for image recognition models.

Use Case Model Mode Run from the Model Zoo repository
Image Recognition DenseNet169 Inference FP32
Image Recognition Inception V3 Inference Int8 FP32
Image Recognition Inception V4 Inference Int8 FP32
Image Recognition MobileNet V1* Inference Int8 FP32
Image Recognition ResNet 101 Inference Int8 FP32
Image Recognition ResNet 50 Inference Int8 FP32
Image Recognition ResNet 50v1.5 Inference Int8 FP32
Image Segmentation 3D U-Net MLPerf Inference FP32
Language Modeling BERT Inference FP32
Language Translation BERT Inference FP32
Language Translation Transformer_LT_Official Inference FP32
Object Detection R-FCN Inference Int8 FP32
Object Detection SSD-MobileNet* Inference Int8 FP32
Object Detection SSD-ResNet34* Inference Int8 FP32
Recommendation DIEN Inference FP32
Recommendation Wide & Deep Inference FP32