diff --git a/aten/src/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h b/aten/src/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h
index 705d8436edf..a6a883e53b3 100644
--- a/aten/src/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h
+++ b/aten/src/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h
@@ -478,7 +478,7 @@ class Vectorized<ComplexDbl> {
     this->store(tmp1);
     b.store(tmp2);
 
-    for (const auto i : c10::irange(Vectorized<c10::complex<float>>::size())) {
+    for (const auto i : c10::irange(Vectorized<c10::complex<double>>::size())) {
       out[i] = tmp1[i] / tmp2[i];
     }
     return loadu(out);
diff --git a/aten/src/ATen/native/Blas.cpp b/aten/src/ATen/native/Blas.cpp
index 2ca484f808b..674ccf11cfb 100644
--- a/aten/src/ATen/native/Blas.cpp
+++ b/aten/src/ATen/native/Blas.cpp
@@ -296,7 +296,7 @@ _scaled_mm_out_cpu(const Tensor& mat1, const Tensor& mat2,
           std::optional<c10::ScalarType> out_dtype,
           bool use_fast_accum,
           Tensor& out) {
-#if AT_MKLDNN_ENABLED()
+#if AT_MKLDNN_ENABLED() && !defined(__powerpc__)
   if (at::globalContext().userEnabledMkldnn()) {
     bool mixed_dtype = mat1.scalar_type() != mat2.scalar_type();
     if ((!mixed_dtype && cpuinfo_has_x86_amx_int8()) ||
diff --git a/cmake/Modules/FindMKLDNN.cmake b/cmake/Modules/FindMKLDNN.cmake
index d622261455d..00fd0130d83 100644
--- a/cmake/Modules/FindMKLDNN.cmake
+++ b/cmake/Modules/FindMKLDNN.cmake
@@ -85,8 +85,12 @@ IF(NOT MKLDNN_FOUND)
   ENDIF(NOT APPLE AND NOT WIN32 AND NOT BUILD_LITE_INTERPRETER)
 
   IF(EXISTS "${MKLDNN_ROOT}/include/oneapi/dnnl/dnnl_ukernel.hpp")
-    MESSAGE("-- Will build oneDNN UKERNEL")
-    SET(DNNL_EXPERIMENTAL_UKERNEL ON CACHE BOOL "" FORCE)
+    IF(CPU_POWER)
+      SET(DNNL_EXPERIMENTAL_UKERNEL OFF CACHE BOOL "" FORCE)
+    ELSE()
+      MESSAGE("-- Will build oneDNN UKERNEL")
+      SET(DNNL_EXPERIMENTAL_UKERNEL ON CACHE BOOL "" FORCE)
+    ENDIF()
   ENDIF(EXISTS "${MKLDNN_ROOT}/include/oneapi/dnnl/dnnl_ukernel.hpp")
 
   FIND_PACKAGE(BLAS)