diff --git a/README.md b/README.md
index 1fe0c16ed..b633e084c 100644
--- a/README.md
+++ b/README.md
@@ -92,14 +92,15 @@ print(relaxed_state.energy)
TorchSim achieves up to 100x speedup compared to ASE with popular MLIPs.
-
+
This figure compares the time per atom of ASE and `torch_sim`. Time per atom is defined
as the number of atoms / total time. While ASE can only run a single system of `n_atoms`
(on the $x$ axis), `torch_sim` can run as many systems as will fit in memory. On an H100 80 GB card,
-the max atoms that could fit in memory was ~8,000 for [GemNet](https://github.com/FAIR-Chem/fairchem), ~10,000 for [MACE](https://github.com/ACEsuit/mace), and ~2,500
-for [SevenNet](https://github.com/MDIL-SNU/SevenNet). This metric describes model performance by capturing speed and memory
-usage simultaneously.
+the max atoms that could fit in memory was ~8,000 for [EGIP](https://github.com/FAIR-Chem/fairchem),
+~10,000 for [MACE-MPA-0](https://github.com/ACEsuit/mace), ~22,000 for [Mattersim V1 1M](https://github.com/microsoft/mattersim),
+~2,500 for [SevenNet](https://github.com/MDIL-SNU/SevenNet), and ~9000 for [PET-MAD](https://github.com/lab-cosmo/pet-mad).
+This metric describes model performance by capturing speed and memory usage simultaneously.
## Installation
diff --git a/docs/_static/speedup_plot.svg b/docs/_static/speedup_plot.svg
old mode 100755
new mode 100644
index c6e2de2e7..e0eca6b4d
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@@ -1 +1,180 @@
-
+