diff --git a/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td b/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
index 70d424bae9285..caec229207ea6 100644
--- a/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
+++ b/mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td
@@ -717,7 +717,7 @@ def LowerUnPackOp : Op<Transform_Dialect, "structured.lower_unpack", [
                          ReportTrackingListenerFailuresOpTrait]> {
   let description = [{
     Lower a linalg.unpack into empty + linalg.transpose + tensor.collapse_shape +
-    tensor.extract_slice.
+    tensor.extract_slice + linalg.copy.
 
     #### Return modes
 
@@ -725,7 +725,7 @@ def LowerUnPackOp : Op<Transform_Dialect, "structured.lower_unpack", [
     operation produces a silenceable failure if the rewrite fails for any
     reason. If all the operations referred to by the `target` are rewritten,
     the transform succeeds. Return handles to the newly produced empty,
-    transpose, collapse_shape and extract_slice ops.
+    transpose, collapse_shape, extract_slice and copy ops.
   }];
 
   let arguments = (ins Transform_ConcreteOpType<"linalg.unpack">:$target,
@@ -733,7 +733,8 @@ def LowerUnPackOp : Op<Transform_Dialect, "structured.lower_unpack", [
   let results = (outs Transform_ConcreteOpType<"tensor.empty">:$empty_op,
                       Transform_ConcreteOpType<"linalg.transpose">:$transpose_op,
                       Transform_ConcreteOpType<"tensor.collapse_shape">:$collapse_shape_op,
-                      Transform_ConcreteOpType<"tensor.extract_slice">:$extract_slice_op);
+                      Transform_ConcreteOpType<"tensor.extract_slice">:$extract_slice_op,
+                      Transform_ConcreteOpType<"linalg.copy">:$copy_op);
   let assemblyFormat = [{
     $target attr-dict `:` functional-type(operands, results)
   }];
diff --git a/mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h b/mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h
index d1f313098a2c1..fb9cede670801 100644
--- a/mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h
+++ b/mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h
@@ -1360,9 +1360,10 @@ struct LowerUnPackOpResult {
   linalg::TransposeOp transposeOp;
   tensor::CollapseShapeOp collapseShapeOp;
   tensor::ExtractSliceOp extractSliceOp;
+  linalg::CopyOp copyOp;
 };
 
-/// Rewrite pack as empty + transpose + reshape + extract_slice.
+/// Rewrite pack as empty + transpose + reshape + extract_slice + copy.
 FailureOr<LowerUnPackOpResult>
 lowerUnPack(RewriterBase &rewriter, linalg::UnPackOp unPackOp,
             bool lowerUnpadLikeWithExtractSlice = true);
diff --git a/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp b/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp
index e945a15476b3a..309a4d989465d 100644
--- a/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp
+++ b/mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp
@@ -1556,6 +1556,7 @@ DiagnosedSilenceableFailure transform::LowerUnPackOp::applyToOne(
   transformResults.push_back(res->transposeOp);
   transformResults.push_back(res->collapseShapeOp);
   transformResults.push_back(res->extractSliceOp);
+  transformResults.push_back(res->copyOp);
   return DiagnosedSilenceableFailure::success();
 }
 
diff --git a/mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp b/mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp
index eb3eb48a7fe34..2b4986aeac14f 100644
--- a/mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp
+++ b/mlir/lib/Dialect/Linalg/Transforms/Transforms.cpp
@@ -382,7 +382,8 @@ linalg::lowerUnPack(RewriterBase &rewriter, linalg::UnPackOp unPackOp,
     rewriter.replaceOp(unPackOp, extractSliceOp->getResults());
 
     return LowerUnPackOpResult{/*emptyOp=*/nullptr, /*transposeOp=*/nullptr,
-                               /*reshapeOp=*/nullptr, extractSliceOp};
+                               /*reshapeOp=*/nullptr, extractSliceOp,
+                               /*copyOp=*/nullptr};
   }
 
   // 1. Compute the permutation vector to shuffle packed shape into the shape
@@ -444,7 +445,8 @@ linalg::lowerUnPack(RewriterBase &rewriter, linalg::UnPackOp unPackOp,
   // 7. Replace unPackOp by copyOp.
   rewriter.replaceOp(unPackOp, copyOp->getResults());
 
-  return LowerUnPackOpResult{emptyOp, transposeOp, reshapeOp, extractSliceOp};
+  return LowerUnPackOpResult{emptyOp, transposeOp, reshapeOp, extractSliceOp,
+                             copyOp};
 }
 
 SmallVector<int64_t>
diff --git a/mlir/test/Dialect/Linalg/transform-lower-pack.mlir b/mlir/test/Dialect/Linalg/transform-lower-pack.mlir
index 9e7681d1a1b7d..b6fe67a9ae1f3 100644
--- a/mlir/test/Dialect/Linalg/transform-lower-pack.mlir
+++ b/mlir/test/Dialect/Linalg/transform-lower-pack.mlir
@@ -185,7 +185,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
@@ -220,7 +221,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
@@ -254,7 +256,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
@@ -286,7 +289,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
@@ -554,7 +558,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
@@ -594,7 +599,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
@@ -637,7 +643,8 @@ module attributes {transform.with_named_sequence} {
           -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
       transform.yield
   }
 }
@@ -677,7 +684,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
@@ -711,7 +719,8 @@ module attributes {transform.with_named_sequence} {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
           transform.yield
   }
 }
diff --git a/mlir/test/Dialect/Linalg/transform-tile-and-fuse-pack-unpack.mlir b/mlir/test/Dialect/Linalg/transform-tile-and-fuse-pack-unpack.mlir
index d72ab080f3c5c..dc4d2e434c0db 100644
--- a/mlir/test/Dialect/Linalg/transform-tile-and-fuse-pack-unpack.mlir
+++ b/mlir/test/Dialect/Linalg/transform-tile-and-fuse-pack-unpack.mlir
@@ -159,7 +159,8 @@ module {
         -> (!transform.op<"tensor.empty">,
             !transform.op<"linalg.transpose">,
             !transform.op<"tensor.collapse_shape">,
-            !transform.op<"tensor.extract_slice">)
+            !transform.op<"tensor.extract_slice">,
+            !transform.op<"linalg.copy">)
 
       %root = transform.structured.match ops{["linalg.generic"]} in %arg1
           : (!transform.any_op) -> !transform.any_op
@@ -220,7 +221,8 @@ module {
         -> (!transform.op<"tensor.empty">,
             !transform.op<"linalg.transpose">,
             !transform.op<"tensor.collapse_shape">,
-            !transform.op<"tensor.extract_slice">)
+            !transform.op<"tensor.extract_slice">,
+            !transform.op<"linalg.copy">)
 
       %root = transform.structured.match ops{["linalg.generic"]} in %arg1
           : (!transform.any_op) -> !transform.any_op
diff --git a/mlir/test/Integration/Dialect/Linalg/CPU/pack-unpack-mmt4d.mlir b/mlir/test/Integration/Dialect/Linalg/CPU/pack-unpack-mmt4d.mlir
index a7bb039b04102..08dbe7c0ef345 100644
--- a/mlir/test/Integration/Dialect/Linalg/CPU/pack-unpack-mmt4d.mlir
+++ b/mlir/test/Integration/Dialect/Linalg/CPU/pack-unpack-mmt4d.mlir
@@ -159,7 +159,8 @@ module @transforms attributes { transform.with_named_sequence } {
       -> (!transform.op<"tensor.empty">,
           !transform.op<"linalg.transpose">,
           !transform.op<"tensor.collapse_shape">,
-          !transform.op<"tensor.extract_slice">)
+          !transform.op<"tensor.extract_slice">,
+          !transform.op<"linalg.copy">)
     transform.yield
   }