diff --git a/docs.it4i/general/energy.md b/docs.it4i/general/energy.md
index f89ef187890af3ea08e195ba5ab3c9e85f231abc..7c0a6aa3df6d2979f7403f0f300df321ce414141 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][3] has low performance impact for memory bound computations (arithmetic intensity below the [ridge point][2]). For processor bound computations (arithmetic intensity above the [ridge point][2]), the impact is proportional to the frequency reduction.
 
-On Karolina, time increase **up to 16%** is observed for arithmeticaly intensive CPU workloads and **up to 10%** for intensive GPU workloads. **No slowdown** is observed for memory bound workloads.
+On Karolina, runtime increase **up to 16%** is observed for arithmeticaly intensive CPU workloads and **up to 10%** for intensive GPU workloads. **No slowdown** is observed for memory bound workloads.
 
 ### Energy Efficiency