diff --git a/ext/ForwardDiffStaticArraysExt.jl b/ext/ForwardDiffStaticArraysExt.jl
index ec8cbc83..bf0ef99a 100644
--- a/ext/ForwardDiffStaticArraysExt.jl
+++ b/ext/ForwardDiffStaticArraysExt.jl
@@ -21,8 +21,6 @@ using DiffResults: DiffResult, ImmutableDiffResult, MutableDiffResult
     end
 end
 
-@inline static_dual_eval(::Type{T}, f::F, x::StaticArray) where {T,F} = f(dualize(T, x))
-
 # To fix method ambiguity issues:
 function LinearAlgebra.eigvals(A::Symmetric{<:Dual{Tg,T,N}, <:StaticArrays.StaticMatrix}) where {Tg,T<:Real,N}
     return ForwardDiff._eigvals(A)
@@ -54,12 +52,12 @@ end
 
 @inline function ForwardDiff.vector_mode_gradient(f::F, x::StaticArray) where {F}
     T = typeof(Tag(f, eltype(x)))
-    return extract_gradient(T, static_dual_eval(T, f, x), x)
+    return extract_gradient(T, f(dualize(T, x)), x)
 end
 
 @inline function ForwardDiff.vector_mode_gradient!(result, f::F, x::StaticArray) where {F}
     T = typeof(Tag(f, eltype(x)))
-    return extract_gradient!(T, result, static_dual_eval(T, f, x))
+    return extract_gradient!(T, result, f(dualize(T, x)))
 end
 
 # Jacobian
@@ -84,7 +82,7 @@ end
 
 @inline function ForwardDiff.vector_mode_jacobian(f::F, x::StaticArray) where {F}
     T = typeof(Tag(f, eltype(x)))
-    return extract_jacobian(T, static_dual_eval(T, f, x), x)
+    return extract_jacobian(T, f(dualize(T, x)), x)
 end
 
 function extract_jacobian(::Type{T}, ydual::AbstractArray, x::StaticArray) where T
@@ -94,7 +92,7 @@ end
 
 @inline function ForwardDiff.vector_mode_jacobian!(result, f::F, x::StaticArray) where {F}
     T = typeof(Tag(f, eltype(x)))
-    ydual = static_dual_eval(T, f, x)
+    ydual = f(dualize(T, x))
     result = extract_jacobian!(T, result, ydual, length(x))
     result = extract_value!(T, result, ydual)
     return result
@@ -102,7 +100,7 @@ end
 
 @inline function ForwardDiff.vector_mode_jacobian!(result::ImmutableDiffResult, f::F, x::StaticArray) where {F}
     T = typeof(Tag(f, eltype(x)))
-    ydual = static_dual_eval(T, f, x)
+    ydual = f(dualize(T, x))
     result = DiffResults.jacobian!(result, extract_jacobian(T, ydual, x))
     result = DiffResults.value!(Base.Fix1(value, T), result, ydual)
     return result