diff --git a/docs/source/benchmarking.rst b/docs/source/benchmarking.rst
index f8a8b80b..7771fa93 100644
--- a/docs/source/benchmarking.rst
+++ b/docs/source/benchmarking.rst
@@ -9,10 +9,10 @@ This section provides information and results from performance benchmarking of g
 How to benchmark?
 =================
 
-The following simple models (found in the ``testing/benchmarking`` sub-package) can be used to benchmark gprMax on your own system. The models feature different domain sizes (from 100^3 to 800^3 cells) and contain a simple Hertzian dipole source in free space. The following shows an example of the 100^3 cell model:
+The following simple models (found in the ``testing/benchmarking`` sub-package) can be used to benchmark gprMax on your own system. The models feature different domain sizes (from 100^3 to 800^3 cells) and contain a simple Hertzian dipole source in free space:
 
-.. literalinclude:: ../../testing/benchmarking/bench_100x100x100.in
-    :language: none
+.. literalinclude:: ../../testing/benchmarking/bench_simple.py
+    :language: python
     :linenos:
 
 The performance metric used to measure the throughput of the solver is:
@@ -23,5 +23,5 @@ The performance metric used to measure the throughput of the solver is:
 
 where P is the throughput in millions of cells per second; NX, NY, and NZ are the number of cells in domain in the x, y, and z directions; NT is the number of time-steps in the simulation; and T is the runtime of the simulation in seconds.
 
-.. figure:: ../../testing/benchmarking/results/NVIDIA.png
+.. figure:: ../../images_shared/GPU_NVIDIA.png
     :width: 600px
diff --git a/testing/benchmarking/results/CPU_AMD EPYC 7742.pdf b/images_shared/CPU_AMD EPYC 7742.pdf
similarity index 100%
rename from testing/benchmarking/results/CPU_AMD EPYC 7742.pdf
rename to images_shared/CPU_AMD EPYC 7742.pdf
diff --git a/testing/benchmarking/results/GPU_NVIDIA.png b/images_shared/GPU_NVIDIA.png
similarity index 100%
rename from testing/benchmarking/results/GPU_NVIDIA.png
rename to images_shared/GPU_NVIDIA.png