diff --git a/docs.it4i/general/energy.md b/docs.it4i/general/energy.md
index 6ec5d96dbcc9e7020be027f7a34ca9f38629b9a6..cf4708a38c40d7b9eae26ccb38d6a0356987963d 100644
--- a/docs.it4i/general/energy.md
+++ b/docs.it4i/general/energy.md
@@ -23,7 +23,7 @@ The [arithmetic intensity][2] is a measure of floating-point operations (FLOPs)
 
 In general, the processor frequency capping has low performance impact for  memory bound computations with intensity below the [ridge point][2]. For CPU bound computations with intensity above the [ridge point][2], the impact is directly proportional to the frequency reduction.
 
-On Karolina, relative time increase factor up to 1.3 is observed for intensive workloads on CPU, up to 1.1 on GPU. No slowdown is observed for memory bound workloads.
+On Karolina, relative time increase factor **up to 1.3** is observed for intensive workloads on CPU, **up to 1.1** on GPU. **No slowdown** is observed for memory bound workloads.
 
 ### Energy Saved