diff --git a/src/plugins/intel_cpu/src/cpu_types.cpp b/src/plugins/intel_cpu/src/cpu_types.cpp
index e3a4c21142b..3a6335d0648 100644
--- a/src/plugins/intel_cpu/src/cpu_types.cpp
+++ b/src/plugins/intel_cpu/src/cpu_types.cpp
@@ -187,7 +187,7 @@ static const TypeToNameMap& get_type_to_name_tbl() {
         {"Ceiling", Type::Math},
         {"Cos", Type::Math},
         {"Cosh", Type::Math},
-        {"Floor", Type::Math},
+        {"Floor", Type::Eltwise},
         {"HardSigmoid", Type::Math},
         {"If", Type::If},
         {"Neg", Type::Math},
@@ -394,6 +394,7 @@ std::string algToString(const Algorithm alg) {
         CASE(EltwiseMultiply);
         CASE(EltwiseSubtract);
         CASE(EltwiseDivide);
+        CASE(EltwiseFloor);
         CASE(EltwiseFloorMod);
         CASE(EltwiseMod);
         CASE(EltwiseMaximum);
diff --git a/src/plugins/intel_cpu/src/cpu_types.h b/src/plugins/intel_cpu/src/cpu_types.h
index 5593e6728bb..24704d7f7b9 100644
--- a/src/plugins/intel_cpu/src/cpu_types.h
+++ b/src/plugins/intel_cpu/src/cpu_types.h
@@ -153,6 +153,7 @@ enum class Algorithm {
     EltwiseMultiply,
     EltwiseSubtract,
     EltwiseDivide,
+    EltwiseFloor,
     EltwiseFloorMod,
     EltwiseMod,
     EltwiseMaximum,
diff --git a/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.cpp b/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.cpp
index dbe951a4dd3..1e35fe009cc 100644
--- a/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.cpp
+++ b/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.cpp
@@ -479,6 +479,42 @@ std::set<std::vector<element::Type>> jit_exp_emitter::get_supported_precisions(c
     return {{element::f32}};
 }
 
+/// Floor ///
+jit_floor_emitter::jit_floor_emitter(dnnl::impl::cpu::aarch64::jit_generator* host,
+                                     dnnl::impl::cpu::aarch64::cpu_isa_t host_isa,
+                                     const std::shared_ptr<ov::Node>& node)
+        : jit_emitter(host, host_isa, node, get_arithmetic_binary_exec_precision(node)) {
+}
+
+jit_floor_emitter::jit_floor_emitter(dnnl::impl::cpu::aarch64::jit_generator* host,
+                                     dnnl::impl::cpu::aarch64::cpu_isa_t host_isa,
+                                     const ov::element::Type exec_prc) : jit_emitter(host, host_isa, exec_prc) {
+}
+
+size_t jit_floor_emitter::get_inputs_count() const { return 1; }
+
+void jit_floor_emitter::emit_impl(const std::vector<size_t> &in_vec_idxs, const std::vector<size_t> &out_vec_idxs) const {
+    if (host_isa_ == dnnl::impl::cpu::aarch64::asimd) {
+        emit_isa<dnnl::impl::cpu::aarch64::asimd>(in_vec_idxs, out_vec_idxs);
+    } else {
+        OV_CPU_JIT_EMITTER_THROW("Can't create jit eltwise kernel");
+    }
+}
+
+template <dnnl::impl::cpu::aarch64::cpu_isa_t isa>
+void jit_floor_emitter::emit_isa(const std::vector<size_t> &in_vec_idxs, const std::vector<size_t> &out_vec_idxs) const {
+    OV_CPU_JIT_EMITTER_ASSERT(exec_prc_ == ov::element::f32, "unsupported precision: " + exec_prc_.to_string());
+
+    using TReg = typename dnnl::impl::cpu::aarch64::cpu_isa_traits<isa>::TReg;
+    TReg src = TReg(in_vec_idxs[0]);
+    TReg dst = TReg(out_vec_idxs[0]);
+    h->frintm(dst.s, src.s);
+}
+
+std::set<std::vector<element::Type>> jit_floor_emitter::get_supported_precisions(const std::shared_ptr<ov::Node>& node) {
+    return {{element::f32}};
+}
+
 /// GELU_ERF ///
 jit_gelu_erf_emitter::jit_gelu_erf_emitter(dnnl::impl::cpu::aarch64::jit_generator* host,
                                            dnnl::impl::cpu::aarch64::cpu_isa_t host_isa,
diff --git a/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.hpp b/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.hpp
index 1b46d5c2b76..24fd1dde37e 100644
--- a/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.hpp
+++ b/src/plugins/intel_cpu/src/emitters/plugin/aarch64/jit_eltwise_emitters.hpp
@@ -193,6 +193,27 @@ private:
     void emit_isa(const std::vector<size_t> &in_vec_idxs, const std::vector<size_t> &out_vec_idxs) const;
 };
 
+class jit_floor_emitter : public jit_emitter {
+public:
+    jit_floor_emitter(dnnl::impl::cpu::aarch64::jit_generator *host,
+                      dnnl::impl::cpu::aarch64::cpu_isa_t host_isa,
+                      const ov::element::Type exec_prc = ov::element::f32);
+
+    jit_floor_emitter(dnnl::impl::cpu::aarch64::jit_generator *host,
+                      dnnl::impl::cpu::aarch64::cpu_isa_t host_isa,
+                      const std::shared_ptr<ov::Node>& node);
+
+    size_t get_inputs_count() const override;
+
+    static std::set<std::vector<element::Type>> get_supported_precisions(const std::shared_ptr<ov::Node>& node = nullptr);
+
+private:
+    void emit_impl(const std::vector<size_t> &in_vec_idxs, const std::vector<size_t> &out_vec_idxs) const override;
+
+    template <dnnl::impl::cpu::aarch64::cpu_isa_t isa>
+    void emit_isa(const std::vector<size_t> &in_vec_idxs, const std::vector<size_t> &out_vec_idxs) const;
+};
+
 class jit_gelu_erf_emitter : public jit_emitter {
 public:
     jit_gelu_erf_emitter(dnnl::impl::cpu::aarch64::jit_generator* host,
diff --git a/src/plugins/intel_cpu/src/nodes/eltwise.cpp b/src/plugins/intel_cpu/src/nodes/eltwise.cpp
index 0e7a75f8925..7005cc88515 100644
--- a/src/plugins/intel_cpu/src/nodes/eltwise.cpp
+++ b/src/plugins/intel_cpu/src/nodes/eltwise.cpp
@@ -255,6 +255,7 @@ std::set<std::vector<element::Type>> eltwise_precision_helper::get_supported_pre
         OV_CASE(Algorithm::EltwiseSubtract, jit_subtract_emitter),
         OV_CASE(Algorithm::EltwiseMultiply, jit_multiply_emitter),
         OV_CASE(Algorithm::EltwiseDivide, jit_divide_emitter),
+        OV_CASE(Algorithm::EltwiseFloor, jit_floor_emitter),
         OV_CASE(Algorithm::EltwiseFloorMod, jit_floor_mod_emitter),
         OV_CASE(Algorithm::EltwiseMod, jit_mod_emitter),
         OV_CASE(Algorithm::EltwiseMaximum, jit_maximum_emitter),
@@ -633,6 +634,7 @@ private:
         OV_CASE(Algorithm::EltwiseSubtract, jit_subtract_emitter),
         OV_CASE(Algorithm::EltwiseMultiply, jit_multiply_emitter),
         OV_CASE(Algorithm::EltwiseDivide, jit_divide_emitter),
+        OV_CASE(Algorithm::EltwiseFloor, jit_floor_emitter),
         OV_CASE(Algorithm::EltwiseFloorMod, jit_floor_mod_emitter),
         OV_CASE(Algorithm::EltwiseMod, jit_mod_emitter),
         OV_CASE(Algorithm::EltwiseMaximum, jit_maximum_emitter),
@@ -1082,6 +1084,9 @@ const std::map<const ov::DiscreteTypeInfo, Eltwise::Initializer>& Eltwise::getIn
         {ov::op::v1::Mod::get_type_info_static(), [](const std::shared_ptr<ov::Node>& op, Eltwise& node) {
             node.algorithm = Algorithm::EltwiseMod;
         }},
+        {ov::op::v0::Floor::get_type_info_static(), [](const std::shared_ptr<ov::Node>& op, Eltwise& node) {
+            node.algorithm = Algorithm::EltwiseFloor;
+        }},
         {ov::op::v1::FloorMod::get_type_info_static(), [](const std::shared_ptr<ov::Node>& op, Eltwise& node) {
             node.algorithm = Algorithm::EltwiseFloorMod;
         }},
@@ -1875,6 +1880,7 @@ public:
                     case Algorithm::EltwiseSubtract:          *dst_ptr_f = src_f[0] - src_f[1]; break;
                     case Algorithm::EltwiseMultiply:          *dst_ptr_f = src_f[0] * src_f[1]; break;
                     case Algorithm::EltwiseDivide:            *dst_ptr_f = src_f[0] / src_f[1]; break;
+                    case Algorithm::EltwiseFloor:             *dst_ptr_f = floorf(src_f[0]); break;
                     case Algorithm::EltwiseFloorMod:          *dst_ptr_f = src_f[0] - floorf(src_f[0] / src_f[1]) * src_f[1]; break;
                     case Algorithm::EltwiseMod:               *dst_ptr_f = src_f[0] - truncf(src_f[0] / src_f[1]) * src_f[1]; break;
                     case Algorithm::EltwiseMaximum:           *dst_ptr_f = std::max(src_f[0], src_f[1]); break;
@@ -2072,6 +2078,7 @@ size_t Eltwise::getOpInputsNum() const {
         case Algorithm::EltwiseRelu:
         case Algorithm::EltwiseGeluErf:
         case Algorithm::EltwiseGeluTanh:
+        case Algorithm::EltwiseFloor:
         case Algorithm::EltwiseElu:
         case Algorithm::EltwiseTanh:
         case Algorithm::EltwiseSigmoid:
diff --git a/src/plugins/intel_cpu/src/nodes/executors/aarch64/jit_eltwise.cpp b/src/plugins/intel_cpu/src/nodes/executors/aarch64/jit_eltwise.cpp
index 72458c3d292..ac3674c9309 100644
--- a/src/plugins/intel_cpu/src/nodes/executors/aarch64/jit_eltwise.cpp
+++ b/src/plugins/intel_cpu/src/nodes/executors/aarch64/jit_eltwise.cpp
@@ -25,6 +25,7 @@ bool JitEltwiseExecutor::isSupported(
                                      Algorithm::EltwiseElu,
                                      Algorithm::EltwiseEqual,
                                      Algorithm::EltwiseExp,
+                                     Algorithm::EltwiseFloor,
                                      Algorithm::EltwiseGeluErf,
                                      Algorithm::EltwiseGeluTanh,
                                      Algorithm::EltwiseHswish,
@@ -74,9 +75,8 @@ bool JitEltwiseExecutor::isSupported(
     };
 
     const std::set<ov::element::Type> supported_precisions =
-        (algorithm == Algorithm::EltwiseDivide) ?
-            // Divide operation doesn't support int32 tensor inference in fp32 precision.
-            // As result Divide operation supports fp16 and fp32 only.
+        // Divide and Floor (issue #138629) operations are supported for fp32 and fp16 only.
+        ((algorithm == Algorithm::EltwiseDivide) || (algorithm == Algorithm::EltwiseFloor)) ?
             std::set<ov::element::Type> { ov::element::f16, ov::element::f32 } :
             std::set<ov::element::Type> {
                 ov::element::f16,
diff --git a/src/plugins/intel_cpu/src/nodes/kernels/aarch64/jit_uni_eltwise_generic.cpp b/src/plugins/intel_cpu/src/nodes/kernels/aarch64/jit_uni_eltwise_generic.cpp
index 8093f0617eb..10ae54d1fb7 100644
--- a/src/plugins/intel_cpu/src/nodes/kernels/aarch64/jit_uni_eltwise_generic.cpp
+++ b/src/plugins/intel_cpu/src/nodes/kernels/aarch64/jit_uni_eltwise_generic.cpp
@@ -636,6 +636,7 @@ std::shared_ptr<jit_emitter> jit_uni_eltwise_generic<isa>::create_eltwise_emitte
     OV_CASE(Algorithm::EltwiseElu, ov::intel_cpu::aarch64::jit_elu_emitter),
     OV_CASE(Algorithm::EltwiseEqual, ov::intel_cpu::aarch64::jit_equal_emitter),
     OV_CASE(Algorithm::EltwiseExp, ov::intel_cpu::aarch64::jit_exp_emitter),
+    OV_CASE(Algorithm::EltwiseFloor, ov::intel_cpu::aarch64::jit_floor_emitter),
     OV_CASE(Algorithm::EltwiseHswish, ov::intel_cpu::aarch64::jit_hswish_emitter),
     OV_CASE(Algorithm::EltwiseMaximum, ov::intel_cpu::aarch64::jit_maximum_emitter),
     OV_CASE(Algorithm::EltwiseMinimum, ov::intel_cpu::aarch64::jit_minimum_emitter),
@@ -805,6 +806,7 @@ std::set<std::vector<element::Type>> eltwise_precision_helper::get_supported_pre
         OV_CASE(Algorithm::EltwiseElu, jit_elu_emitter),
         OV_CASE(Algorithm::EltwiseEqual, jit_equal_emitter),
         OV_CASE(Algorithm::EltwiseExp, jit_exp_emitter),
+        OV_CASE(Algorithm::EltwiseFloor, jit_floor_emitter),
         OV_CASE(Algorithm::EltwiseGeluErf, jit_gelu_erf_emitter),
         OV_CASE(Algorithm::EltwiseGeluTanh, jit_gelu_tanh_emitter),
         OV_CASE(Algorithm::EltwiseHswish, jit_hswish_emitter),
diff --git a/src/plugins/intel_cpu/tests/functional/custom/single_layer_tests/classes/activation.cpp b/src/plugins/intel_cpu/tests/functional/custom/single_layer_tests/classes/activation.cpp
index f5034d71a8e..47f747afe60 100644
--- a/src/plugins/intel_cpu/tests/functional/custom/single_layer_tests/classes/activation.cpp
+++ b/src/plugins/intel_cpu/tests/functional/custom/single_layer_tests/classes/activation.cpp
@@ -159,6 +159,7 @@ std::string ActivationLayerCPUTest::getPrimitiveType(const utils::ActivationType
         ((activation_type == utils::ActivationTypes::Clamp) ||
         (activation_type == utils::ActivationTypes::Elu) ||
         (activation_type == utils::ActivationTypes::Exp) ||
+        (activation_type == utils::ActivationTypes::Floor) ||
         (activation_type == utils::ActivationTypes::HSwish) ||
         (activation_type == utils::ActivationTypes::HardSigmoid) ||
         (activation_type == utils::ActivationTypes::Mish) ||
@@ -176,6 +177,9 @@ std::string ActivationLayerCPUTest::getPrimitiveType(const utils::ActivationType
         return "";
     }
 #endif
+    if (activation_type == utils::ActivationTypes::Floor) {
+        return "ref";
+    }
     return "acl";
 #else
     return CPUTestsBase::getPrimitiveType();
@@ -202,6 +206,7 @@ const std::map<utils::ActivationTypes, std::vector<std::vector<float>>>& activat
         {Exp,         {{}}},
         {Clamp,       {{-2.0f, 2.0f}}},
         {Elu,         {{0.1f}}},
+        {Floor,       {{}}},
         {Swish,       {{0.1f}}},
         {HSwish,      {{}}},
         {PReLu,       {{-0.01f}}},
diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp
index 7164fdb2cc7..0d55c708f94 100644
--- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp
+++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/skip_tests_config.cpp
@@ -317,6 +317,9 @@ std::vector<std::string> disabledTestPatterns() {
         R"(.*smoke_LoopForCommon/LoopLayerCPUTest.CompareWithRefs/Input0_IS=\[1..10.1.1..10\]_.*_Input1_IS=\[1..8.1.1..8\]_.*_Input2_IS=\[1..10.\?.1..10\]_TS=.*_types=0_0_1_trip_count_type=.*_trip_count=(1|5)_exec_cond=1_netType=i8.*)",
     };
 
+    // fp32 floor for bf16 models: conversion issue
+    retVector.emplace_back(R"(.*smoke.*ActivationLayerCPUTest.*CompareWithRefs/Floor_.*netPRC=bf16.*)");
+
 #if defined(OPENVINO_ARCH_X86)
     retVector.emplace_back(R"(.*DetectionOutputLayerTest.*)");
     // WIP: plugin cannot be loaded for some reason