diff --git a/docs.it4i/general/energy.md b/docs.it4i/general/energy.md
index 920f9c104888cd1690ac538b36251ce8531a5a23..f89ef187890af3ea08e195ba5ab3c9e85f231abc 100644
--- a/docs.it4i/general/energy.md
+++ b/docs.it4i/general/energy.md
@@ -21,7 +21,7 @@ The CPU core and GPU streaming multiprocessors frequency limit is implemented fo
 The performance impact depends on the [arithmetic intensity][1] of the executed workload.
 The [arithmetic intensity][2] is a measure of floating-point operations (FLOPs) performed by a given code (or code section) relative to the amount of memory accesses (Bytes) that are required to support those operations. It is defined as a FLOP per Byte ratio (F/B). Arithmetic intensity is a characteristic of the computational algorithm. 
 
-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.
+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.