diff --git a/mindspore/lite/nnacl/assembly/arm32/MatVecMulFp32.S b/mindspore/lite/nnacl/assembly/arm32/MatVecMulFp32.S
new file mode 100644
index 0000000000..c06301c941
--- /dev/null
+++ b/mindspore/lite/nnacl/assembly/arm32/MatVecMulFp32.S
@@ -0,0 +1,185 @@
+#ifdef __arm__
+#ifndef __aarch64__
+
+.text
+.align 5
+.global MatVecMulFp32
+#ifndef __APPLE__
+.type MatVecMulFp32, %function
+#endif
+
+// void MatVecMulFp32(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int col)
+// r0: a
+// r1: b
+// r2: c
+// r3: bias
+// r4: act_type
+// r5: depth
+// r6: col
+
+MatVecMulFp32:
+  // r4-r8 and q4-q7 must be saved according to https://static.docs.arm.com/ihi0042/i/aapcs32.pdf
+  push {r0-r8, r10, r11, lr}
+  add sp, sp, #48
+
+  ldr r4, [sp]
+  ldr r5, [sp, #4]
+  ldr r6, [sp, #8]
+
+  mov r10, #4
+  mul r10, r10, r5  // stride = depth * sizeof(float)
+  mov r11, #4
+  mul r11, r11, r10 // stride x 4
+
+  cmp r6, #4
+  blt Col1Loop
+
+Col4Loop:
+  mov r7, r0    // reload a(vector) ptr  
+  mov r9, r1    // reload b(matrix) ptr
+  mov r8, r5    // reload depth value
+
+  veor q9, q9, q9
+  veor q10, q10, q10
+  veor q11, q11, q11
+  veor q12, q12, q12
+  veor q15, q15, q15
+
+  cmp r8, #4
+  blt Col4Depth1
+
+  Col4Depth4:
+    vld1.f32 {q8}, [r7]!
+    add lr, r9, r10
+    vld1.f32 {q0}, [r9]!
+    vld1.f32 {q1}, [lr], r10
+    vld1.f32 {q2}, [lr], r10
+    vld1.f32 {q3}, [lr]
+
+    vmla.f32 q9, q8, q0
+    vmla.f32 q10, q8, q1
+    vmla.f32 q11, q8, q2
+    vmla.f32 q12, q8, q3
+    sub r8, r8, #4
+    cmp r8, #4
+    bge Col4Depth4
+
+  vpadd.f32 d26, d18, d20
+  vpadd.f32 d27, d19, d21
+  vpadd.f32 d28, d22, d24
+  vpadd.f32 d29, d23, d25
+  vadd.f32 d30, d26, d27
+  vadd.f32 d31, d28, d29
+  cmp r8, #0
+  beq Col4End
+
+  Col4Depth1:
+    vld1.f32 {d0[0]}, [r7]!
+    add lr, r9, r10
+    vld1.f32 {d2[0]}, [r9]!
+    vld1.f32 {d2[1]}, [lr], r10
+    vld1.f32 {d3[0]}, [lr], r10
+    vld1.f32 {d3[1]}, [lr]
+
+    vmla.f32 q15, q1, d0[0]
+    subs r8, r8, #1
+    bne Col4Depth1
+
+  Col4End:
+    cmp r3, #0
+    beq Col4Activation
+    vld1.f32 {q13}, [r3]!
+    vadd.f32 q15, q15, q13
+
+  Col4Activation:
+    cmp r4, #3
+    beq Col4Relu6
+    cmp r4, #1
+    beq Col4Relu
+    b Col4Write
+
+  Col4Relu6:
+    vmov.i32 q12, #6
+    vcvt.f32.s32 q12, q12
+    vmin.f32 q15, q15, q12
+
+  Col4Relu:
+    veor q13, q13, q13
+    vmax.f32 q15, q15, q13
+
+  Col4Write:
+    vst1.f32 {q15}, [r2]!
+    subs r6, r6, #4
+    beq End
+    add r1, r1, r11
+    cmp r6, #4
+    bge Col4Loop
+
+Col1Loop:
+  mov r7, r0    // reload a(vector) ptr  
+  mov r9, r1    // reload b(matrix) ptr
+  mov r8, r5    // reload depth value
+  veor q10, q10, q10
+  veor q13, q13, q13
+  veor q15, q15, q15
+
+  cmp r8, #4
+  blt Col1Depth1
+
+  Col1Depth4:
+    vld1.f32 {q0}, [r7]!
+    vld1.f32 {q1}, [r9]!
+
+    vmla.f32 q10, q1, q0
+    sub r8, r8, #4
+    cmp r8, #4
+    bge Col1Depth4
+
+  vpadd.f32 d24, d20, d22
+  vpadd.f32 d25, d21, d23
+  vadd.f32 d30, d24, d25
+  cmp r8, #0
+  beq Col1End
+
+  Col1Depth1:
+    vld1.f32 {d0[0]}, [r7]!
+    vld1.f32 {d2[0]}, [r9]!
+
+    vmla.f32 d30, d2, d0[0]
+    subs r8, r8, #1
+    bne Col1Depth1
+
+  Col1End:
+    cmp r3, #0
+    beq Col1Activation
+    vld1.f32 {d28[0]}, [r3]!
+    vadd.f32 d30, d30, d28
+
+  Col1Activation:
+    cmp r4, #3
+    beq Col1Relu6
+    cmp r4, #1
+    beq Col1Relu
+    b Col1Write
+
+  Col1Relu6:
+    vmov.i32 d26, #6
+    vcvt.f32.s32 d26, d26
+    vmin.f32 d30, d30, d26
+
+  Col1Relu:
+    veor d24, d24, d24
+    vmax.f32 d30, d30, d24
+
+  Col1Write:
+    vst1.f32 {d30[0]}, [r2]!
+    subs r6, r6, #1
+    beq End
+    add r1, r1, r10
+    b Col1Loop
+
+End:
+  sub sp, sp, #48
+  pop {r0-r8, r10, r11, pc}
+#endif
+#endif
diff --git a/mindspore/lite/nnacl/assembly/arm64/MatVecMulFp32.S b/mindspore/lite/nnacl/assembly/arm64/MatVecMulFp32.S
index 09de97596b..228dc50245 100644
--- a/mindspore/lite/nnacl/assembly/arm64/MatVecMulFp32.S
+++ b/mindspore/lite/nnacl/assembly/arm64/MatVecMulFp32.S
@@ -1,12 +1,12 @@
 #ifdef __aarch64__
     .text
     .align 5
-    .global MatVecMulFp32Neon64
+    .global MatVecMulFp32
 #ifndef __APPLE__
-    .type MatVecMulFp32Neon64, %function
+    .type MatVecMulFp32, %function
 #endif
 
-// void MatVecMulFp32Neon64(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int col)
+// void MatVecMulFp32(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int col)
 // x0: a
 // x1: b
 // x2: c
@@ -15,7 +15,7 @@
 // w5: depth
 // w6: col
 
-MatVecMulFp32Neon64:
+MatVecMulFp32:
   sub sp, sp, #128
   st1 {v8.8h, v9.8h, v10.8h, v11.8h}, [sp], #64
   st1 {v12.8h, v13.8h, v14.8h, v15.8h}, [sp], #64
diff --git a/mindspore/lite/nnacl/fp32/matmul_fp32.c b/mindspore/lite/nnacl/fp32/matmul_fp32.c
index 66846b9d82..760e71b113 100644
--- a/mindspore/lite/nnacl/fp32/matmul_fp32.c
+++ b/mindspore/lite/nnacl/fp32/matmul_fp32.c
@@ -682,8 +682,8 @@ void MatMulOpt(const float *a, const float *b, float *c, const float *bias, ActT
 }
 
 void MatVecMul(const float *a, const float *b, float *c, const float *bias, ActType act_type, int depth, int col) {
-#ifdef ENABLE_ARM64
-  MatVecMulFp32Neon64(a, b, c, bias, (int)act_type, depth, col);
+#ifdef ENABLE_ARM
+  MatVecMulFp32(a, b, c, bias, (int)act_type, depth, col);
 #endif
 }
 
diff --git a/mindspore/lite/nnacl/fp32/matmul_fp32.h b/mindspore/lite/nnacl/fp32/matmul_fp32.h
index ec78ed56b0..b9c5dba47c 100644
--- a/mindspore/lite/nnacl/fp32/matmul_fp32.h
+++ b/mindspore/lite/nnacl/fp32/matmul_fp32.h
@@ -36,12 +36,14 @@ void RowMajor2Row12Major(const float *src_ptr, float *dst_ptr, int row, int col)
 void RowMajor2Col4Major(const float *src_ptr, float *dst_ptr, size_t row, size_t col);
 void RowMajor2Col8Major(const float *src_ptr, float *dst_ptr, size_t row, size_t col);
 void RowMajor2Col12Major(const float *src_ptr, float *dst_ptr, size_t row, size_t col);
+#ifdef ENABLE_ARM
+void MatVecMulFp32(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int col);
+#endif
 #ifdef ENABLE_ARM64
 void MatmulFloatNeon64(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
                        int col, size_t stride, size_t writeNhwc, size_t WriteWino);
 void MatmulFloatNeon64Opt(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
                           int col, size_t stride, size_t write_mode);
-void MatVecMulFp32Neon64(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int col);
 #elif ENABLE_ARM32
 void MatmulFloatNeon32(const float *a, const float *b, float *c, const float *bias, int act_type, int depth, int row,
                        int col, int stride, size_t writeNhwc, size_t WriteWino);
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32/fullconnection_fp32.cc b/mindspore/lite/src/runtime/kernel/arm/fp32/fullconnection_fp32.cc
index 04d02b1f1f..abf5149080 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32/fullconnection_fp32.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32/fullconnection_fp32.cc
@@ -58,7 +58,7 @@ int FullconnectionCPUKernel::ReSize() {
   thread_count_ = MSMIN(thread_count_, UP_DIV(fc_param_->col_8_, 8));
   thread_stride_ = UP_DIV(UP_DIV(fc_param_->col_8_, 8), thread_count_);
 
-#ifdef ENABLE_ARM64
+#ifdef ENABLE_ARM
   if (fc_param_->row_ == 1) {
     is_vector_input_ = true;
   } else {
@@ -76,19 +76,15 @@ int FullconnectionCPUKernel::ReSize() {
   }
 
 #if defined(ENABLE_ARM32) || defined(ENABLE_X86_64_SSE)
-  a_pack_ptr_ = reinterpret_cast<float *>(malloc(fc_param_->row_4_ * fc_param_->deep_ * sizeof(float)));
-  if (a_pack_ptr_ == nullptr) {
-    return RET_MEMORY_FAILED;
-  }
-  memset(a_pack_ptr_, 0, fc_param_->row_4_ * fc_param_->deep_ * sizeof(float));
+  int row_tmp = is_vector_input_ ? 1 : fc_param_->row_4_;
 #else
   int row_tmp = is_vector_input_ ? 1 : fc_param_->row_12_;
+#endif
   a_pack_ptr_ = reinterpret_cast<float *>(malloc(row_tmp * fc_param_->deep_ * sizeof(float)));
   if (a_pack_ptr_ == nullptr) {
     return RET_MEMORY_FAILED;
   }
   memset(a_pack_ptr_, 0, row_tmp * fc_param_->deep_ * sizeof(float));
-#endif
 
   int col_tmp = is_vector_input_ ? fc_param_->col_ : fc_param_->col_8_;
   b_pack_ptr_ = reinterpret_cast<float *>(malloc(col_tmp * fc_param_->deep_ * sizeof(float)));
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32.cc b/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32.cc
index 8934414480..f4637b402f 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp32/matmul_fp32.cc
@@ -66,9 +66,11 @@ int MatmulCPUKernel::MallocMatrixABuffer() {
   }
   params_->batch = batch;
   params_->row_ = params_->a_transpose_ ? a_shape[a_shape.size() - 1] : a_shape[a_shape.size() - 2];
-#ifdef ENABLE_ARM64
+#ifdef ENABLE_ARM
   if (params_->a_init_shape_ && params_->row_ == 1) {
     is_vector_a_ = true;
+  } else {
+    is_vector_a_ = false;
   }
 #endif
   params_->deep_ = params_->a_transpose_ ? a_shape[a_shape.size() - 2] : a_shape[a_shape.size() - 1];
@@ -76,18 +78,10 @@ int MatmulCPUKernel::MallocMatrixABuffer() {
   params_->row_12_ = UP_ROUND(params_->row_, C12NUM);
 
 #if defined(ENABLE_ARM32) || defined(ENABLE_X86_64_SSE)
-  if (params_->a_const_) {
-    a_pack_ptr_ = reinterpret_cast<float *>(malloc(params_->batch * params_->row_4_ * params_->deep_ * sizeof(float)));
-  } else {
-    a_pack_ptr_ = reinterpret_cast<float *>(
-      context_->allocator->Malloc(params_->batch * params_->row_4_ * params_->deep_ * sizeof(float)));
-  }
-  if (a_pack_ptr_ == nullptr) {
-    FreeTmpBuffer();
-    return RET_MEMORY_FAILED;
-  }
+  int row_tmp = is_vector_a_ ? 1 : params_->row_4_;
 #else
   int row_tmp = is_vector_a_ ? 1 : params_->row_12_;
+#endif
   if (params_->a_const_) {
     a_pack_ptr_ = reinterpret_cast<float *>(malloc(params_->batch * row_tmp * params_->deep_ * sizeof(float)));
   } else {
@@ -98,7 +92,7 @@ int MatmulCPUKernel::MallocMatrixABuffer() {
     FreeTmpBuffer();
     return RET_MEMORY_FAILED;
   }
-#endif
+
   return RET_OK;
 }