diff --git a/CHANGELOG.md b/CHANGELOG.md
index a01f6751..d0747f6c 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -13,6 +13,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 
+- Add if condition of number of threads for CPU OPs by [@JieRen98](https://github.com/JieRen98) in [#105](https://github.com/metaopt/torchopt/pull/105).
 - Add implicit MAML omniglot few-shot classification example with OOP APIs by [@XuehaiPan](https://github.com/XuehaiPan) in [#107](https://github.com/metaopt/torchopt/pull/107).
 - Add implicit MAML omniglot few-shot classification example by [@Benjamin-eecs](https://github.com/Benjamin-eecs) in [#48](https://github.com/metaopt/torchopt/pull/48).
 - Add object-oriented modules support for implicit meta-gradient by [@XuehaiPan](https://github.com/XuehaiPan) in [#101](https://github.com/metaopt/torchopt/pull/101).
diff --git a/src/adam_op/adam_op_impl_cpu.cpp b/src/adam_op/adam_op_impl_cpu.cpp
index 82accd8c..c2ae4ae0 100644
--- a/src/adam_op/adam_op_impl_cpu.cpp
+++ b/src/adam_op/adam_op_impl_cpu.cpp
@@ -27,6 +27,8 @@ using std::size_t;
 
 namespace adam_op {
 
+constexpr size_t MIN_NUMEL_USE_OMP = 1000;
+
 template <typename scalar_t, typename other_t>
 void adamForwardInplaceCPUKernel(const other_t b1,
                                  const other_t inv_one_minus_pow_b1,
@@ -38,7 +40,9 @@ void adamForwardInplaceCPUKernel(const other_t b1,
                                  scalar_t *__restrict__ updates_ptr,
                                  scalar_t *__restrict__ mu_ptr,
                                  scalar_t *__restrict__ nu_ptr) {
-#pragma omp parallel for num_threads(omp_get_num_procs())
+#pragma omp parallel for num_threads( \
+    std::min(n / MIN_NUMEL_USE_OMP,   \
+             static_cast <size_t>(omp_get_num_procs()))) if (n > MIN_NUMEL_USE_OMP)  // NOLINT
   for (size_t tid = 0; tid < n; ++tid) {
     const scalar_t updates = updates_ptr[tid];
     const scalar_t mu = mu_ptr[tid];
@@ -90,7 +94,9 @@ void adamForwardMuCPUKernel(const scalar_t *__restrict__ updates_ptr,
                             const other_t b1,
                             const size_t n,
                             scalar_t *__restrict__ mu_out_ptr) {
-#pragma omp parallel for num_threads(omp_get_num_procs())
+#pragma omp parallel for num_threads( \
+    std::min(n / MIN_NUMEL_USE_OMP,   \
+             static_cast <size_t>(omp_get_num_procs()))) if (n > MIN_NUMEL_USE_OMP)  // NOLINT
   for (size_t tid = 0; tid < n; ++tid) {
     const scalar_t updates = updates_ptr[tid];
     const scalar_t mu = mu_ptr[tid];
@@ -122,7 +128,9 @@ void adamForwardNuCPUKernel(const scalar_t *__restrict__ updates_ptr,
                             const other_t b2,
                             const size_t n,
                             scalar_t *__restrict__ nu_out_ptr) {
-#pragma omp parallel for num_threads(omp_get_num_procs())
+#pragma omp parallel for num_threads( \
+    std::min(n / MIN_NUMEL_USE_OMP,   \
+             static_cast <size_t>(omp_get_num_procs()))) if (n > MIN_NUMEL_USE_OMP)  // NOLINT
   for (size_t tid = 0; tid < n; ++tid) {
     const scalar_t updates = updates_ptr[tid];
     const scalar_t nu = nu_ptr[tid];
@@ -158,7 +166,9 @@ void adamForwardUpdatesCPUKernel(const scalar_t *__restrict__ new_mu_ptr,
                                  const other_t eps_root,
                                  const size_t n,
                                  scalar_t *__restrict__ updates_out_ptr) {
-#pragma omp parallel for num_threads(omp_get_num_procs())
+#pragma omp parallel for num_threads( \
+    std::min(n / MIN_NUMEL_USE_OMP,   \
+             static_cast <size_t>(omp_get_num_procs()))) if (n > MIN_NUMEL_USE_OMP)  // NOLINT
   for (size_t tid = 0; tid < n; ++tid) {
     const scalar_t new_mu = new_mu_ptr[tid];
     const scalar_t new_nu = new_nu_ptr[tid];
@@ -205,7 +215,9 @@ void adamBackwardMuCPUKernel(const scalar_t *__restrict__ dmu_ptr,
                              const size_t n,
                              scalar_t *__restrict__ dupdates_out_ptr,
                              scalar_t *__restrict__ dmu_out_ptr) {
-#pragma omp parallel for num_threads(omp_get_num_procs())
+#pragma omp parallel for num_threads( \
+    std::min(n / MIN_NUMEL_USE_OMP,   \
+             static_cast <size_t>(omp_get_num_procs()))) if (n > MIN_NUMEL_USE_OMP)  // NOLINT
   for (size_t tid = 0; tid < n; ++tid) {
     const scalar_t dmu = dmu_ptr[tid];
 
@@ -240,7 +252,9 @@ void adamBackwardNuCPUKernel(const scalar_t *__restrict__ dnu_ptr,
                              const size_t n,
                              scalar_t *__restrict__ dupdates_out_ptr,
                              scalar_t *__restrict__ dnu_out_ptr) {
-#pragma omp parallel for num_threads(omp_get_num_procs())
+#pragma omp parallel for num_threads( \
+    std::min(n / MIN_NUMEL_USE_OMP,   \
+             static_cast <size_t>(omp_get_num_procs()))) if (n > MIN_NUMEL_USE_OMP)  // NOLINT
   for (size_t tid = 0; tid < n; ++tid) {
     const scalar_t dnu = dnu_ptr[tid];
     const scalar_t updates = updates_ptr[tid];
@@ -279,7 +293,9 @@ void adamBackwardUpdatesCPUKernel(const scalar_t *__restrict__ dupdates_ptr,
                                   const size_t n,
                                   scalar_t *__restrict__ dnew_mu_out_ptr,
                                   scalar_t *__restrict__ dnew_nu_out_ptr) {
-#pragma omp parallel for num_threads(omp_get_num_procs())
+#pragma omp parallel for num_threads( \
+    std::min(n / MIN_NUMEL_USE_OMP,   \
+             static_cast <size_t>(omp_get_num_procs()))) if (n > MIN_NUMEL_USE_OMP)  // NOLINT
   for (size_t tid = 0; tid < n; ++tid) {
     const scalar_t dupdates = dupdates_ptr[tid];
     const scalar_t updates = updates_ptr[tid];

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