diff --git a/test/enzyme.jl b/test/enzyme.jl
index 08552352..b000c937 100644
--- a/test/enzyme.jl
+++ b/test/enzyme.jl
@@ -99,3 +99,10 @@ include("nlp/basic.jl")
 include("nls/basic.jl")
 include("nlp/nlpmodelstest.jl")
 include("nls/nlpmodelstest.jl")
+
+const test_enzyme = true
+
+include("sparse_jacobian.jl")
+include("sparse_jacobian_nls.jl")
+# include("sparse_hessian.jl")
+# include("sparse_hessian_nls.jl")
diff --git a/test/runtests.jl b/test/runtests.jl
index 1d764265..94d14ffa 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -4,6 +4,8 @@ using ADNLPModels, ManualNLPModels, NLPModels, NLPModelsModifiers, NLPModelsTest
 using ADNLPModels:
   gradient, gradient!, jacobian, hessian, Jprod!, Jtprod!, directional_second_derivative, Hvprod!
 
+const test_enzyme = false
+
 @testset "Test sparsity pattern of Jacobian and Hessian" begin
   f(x) = sum(x .^ 2)
   c(x) = x
diff --git a/test/sparse_jacobian.jl b/test/sparse_jacobian.jl
index 349ea980..b8a22259 100644
--- a/test/sparse_jacobian.jl
+++ b/test/sparse_jacobian.jl
@@ -1,7 +1,9 @@
-list_sparse_jac_backend =
-  ((ADNLPModels.SparseADJacobian, Dict()),
-   (ADNLPModels.SparseEnzymeADJacobian, Dict()),
-   (ADNLPModels.ForwardDiffADJacobian, Dict()))
+if test_enzyme
+  list_sparse_jac_backend = ((ADNLPModels.SparseEnzymeADJacobian, Dict()),)
+else
+  list_sparse_jac_backend = ((ADNLPModels.SparseADJacobian, Dict()),
+                             (ADNLPModels.ForwardDiffADJacobian, Dict()))
+end
 
 dt = (Float32, Float64)
 
diff --git a/test/sparse_jacobian_nls.jl b/test/sparse_jacobian_nls.jl
index 55d4af10..cecb05f9 100644
--- a/test/sparse_jacobian_nls.jl
+++ b/test/sparse_jacobian_nls.jl
@@ -1,7 +1,9 @@
-list_sparse_jac_backend =
-  ((ADNLPModels.SparseADJacobian, Dict()),
-   (ADNLPModels.SparseEnzymeADJacobian, Dict()),
-   (ADNLPModels.ForwardDiffADJacobian, Dict()))
+if test_enzyme
+  list_sparse_jac_backend = ((ADNLPModels.SparseEnzymeADJacobian, Dict()),)
+else
+  list_sparse_jac_backend = ((ADNLPModels.SparseADJacobian, Dict()),
+                             (ADNLPModels.ForwardDiffADJacobian, Dict()))
+end
 
 dt = (Float32, Float64)