diff --git a/pytorch/README.md b/pytorch/README.md
index d94070cfc..c2302f783 100644
--- a/pytorch/README.md
+++ b/pytorch/README.md
@@ -332,6 +332,19 @@ You can find the list of services below for each container in the group:
 | `xpu-jupyter` | Adds Jupyter notebook server to GPU image                           |
 | `serving`     | [TorchServe*]                                                       |
 
+## MLPerf Optimized Workloads
+
+The following images are available for MLPerf-optimized workloads. Instructions are available at '[Get Started with Intel MLPerf]'.
+
+| Tag(s)                            | Base OS        | MLPerf Round     | Target Platform                 |
+| --------------------------------- | -------------- | ---------------- | ------------------------------- |
+| `mlperf-inference-4.1-resnet50`   | rockylinux:8.7 | [Inference v4.1] | Intel(R) Xeon(R) Platinum 8592+ |
+| `mlperf-inference-4.1-retinanet`  | ubuntu:22.04   | [Inference v4.1] | Intel(R) Xeon(R) Platinum 8592+ |
+| `mlperf-inference-4.1-gptj`       | ubuntu:22.04   | [Inference v4.1] | Intel(R) Xeon(R) Platinum 8592+ |
+| `mlperf-inference-4.1-bert`       | ubuntu:22.04   | [Inference v4.1] | Intel(R) Xeon(R) Platinum 8592+ |
+| `mlperf-inference-4.1-dlrmv2`     | rockylinux:8.7 | [Inference v4.1] | Intel(R) Xeon(R) Platinum 8592+ |
+| `mlperf-inference-4.1-3dunet`     | ubuntu:22.04   | [Inference v4.1] | Intel(R) Xeon(R) Platinum 8592+ |
+
 ## License
 
 View the [License](https://github.com/intel/intel-extension-for-pytorch/blob/main/LICENSE) for the [Intel® Extension for PyTorch*].
@@ -398,3 +411,7 @@ It is the image user's responsibility to ensure that any use of The images below
 [803]: https://dgpu-docs.intel.com/releases/LTS_803.29_20240131.html
 [736]: https://dgpu-docs.intel.com/releases/stable_736_25_20231031.html
 [647]: https://dgpu-docs.intel.com/releases/stable_647_21_20230714.html
+
+<!-- MLPerf Dashboard -->
+[Inference v4.1]: https://mlcommons.org/benchmarks/inference-datacenter
+[Get Started with Intel MLPerf]: https://www.intel.com/content/www/us/en/developer/articles/guide/get-started-mlperf-intel-optimized-docker-images.html