diff --git a/docs.it4i/general/energy.md b/docs.it4i/general/energy.md
index 054c083e956a782eb1704a2fc2c46682b9fffd44..c42760f8051cb404726ed63cd6a1dc9d9befaa34 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 1.16** is observed for arithmeticaly intensive workloads on CPU and **up to 1.1** on GPU. **No slowdown** is observed for memory bound workloads.
 
 ### Energy Saved