diff --git a/peps/pep-0744.rst b/peps/pep-0744.rst
index 57332bc8d..9a0ff3de2 100644
--- a/peps/pep-0744.rst
+++ b/peps/pep-0744.rst
@@ -501,7 +501,7 @@ Speed
 -----
 
 Currently, the JIT is `about as fast as the existing specializing interpreter 
-<https://github.com/faster-cpython/benchmarking-public/blob/main/configs.png>`__
+<https://github.com/faster-cpython/benchmarking-public/blob/main/configs.svg>`__
 on most platforms. Improving this is obviously a top priority at this point,
 since providing a significant performance gain is the entire motivation for
 having a JIT at all. A number of proposed improvements are already underway, and
@@ -515,7 +515,7 @@ Because it allocates additional memory for executable machine code, the JIT does
 use more memory than the existing interpreter at runtime. According to the
 official benchmarks, the JIT currently uses about `10-20% more memory than the
 base interpreter
-<https://github.com/faster-cpython/benchmarking-public/blob/main/memory_configs.png>`__.
+<https://github.com/faster-cpython/benchmarking-public/blob/main/memory_configs.svg>`__.
 The upper end of this range is due to ``aarch64-apple-darwin``, which has larger
 page sizes (and thus, a larger minimum allocation granularity).