diff --git a/tensorflow/compiler/mlir/lite/stablehlo/BUILD b/tensorflow/compiler/mlir/lite/stablehlo/BUILD
index b8c261533fe477..b6471728f947f9 100644
--- a/tensorflow/compiler/mlir/lite/stablehlo/BUILD
+++ b/tensorflow/compiler/mlir/lite/stablehlo/BUILD
@@ -265,12 +265,14 @@ cc_library(
         "//tensorflow/compiler/mlir/lite:tensorflow_lite",
         "//tensorflow/compiler/mlir/quantization/common/quantization_lib",
         "@com_google_absl//absl/container:flat_hash_map",
+        "@com_google_absl//absl/log",
         "@com_google_absl//absl/strings",
         "@com_google_absl//absl/strings:str_format",
         "@llvm-project//llvm:Support",
         "@llvm-project//mlir:IR",
         "@llvm-project//mlir:Pass",
         "@llvm-project//mlir:QuantOps",
+        "@llvm-project//mlir:Support",
         "@llvm-project//mlir:Transforms",
     ],
 )
diff --git a/tensorflow/compiler/mlir/lite/stablehlo/transforms/op_stat_pass.cc b/tensorflow/compiler/mlir/lite/stablehlo/transforms/op_stat_pass.cc
index 91a633745b8834..f7a136f2259ad2 100644
--- a/tensorflow/compiler/mlir/lite/stablehlo/transforms/op_stat_pass.cc
+++ b/tensorflow/compiler/mlir/lite/stablehlo/transforms/op_stat_pass.cc
@@ -22,18 +22,27 @@ limitations under the License.
 #include <vector>
 
 #include "absl/container/flat_hash_map.h"
+#include "absl/log/log.h"
+#include "absl/strings/ascii.h"
 #include "absl/strings/match.h"
+#include "absl/strings/str_cat.h"
 #include "absl/strings/str_format.h"
 #include "absl/strings/str_split.h"
 #include "absl/strings/string_view.h"
+#include "llvm/ADT/STLExtras.h"
+#include "llvm/ADT/StringMap.h"
 #include "llvm/ADT/StringRef.h"
 #include "llvm/ADT/TypeSwitch.h"
 #include "llvm/Support/raw_ostream.h"
 #include "mlir/Dialect/Quant/QuantTypes.h"  // from @llvm-project
+#include "mlir/IR/BuiltinTypeInterfaces.h"  // from @llvm-project
 #include "mlir/IR/BuiltinTypes.h"  // from @llvm-project
 #include "mlir/IR/Dialect.h"  // from @llvm-project
+#include "mlir/IR/Value.h"  // from @llvm-project
 #include "mlir/Pass/Pass.h"  // from @llvm-project
 #include "mlir/Pass/PassRegistry.h"  // from @llvm-project
+#include "mlir/Support/LLVM.h"  // from @llvm-project
+#include "mlir/Support/TypeID.h"  // from @llvm-project
 #include "mlir/Transforms/Passes.h"  // from @llvm-project
 #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
 #include "tensorflow/compiler/mlir/lite/stablehlo/transforms/stablehlo_util.h"
@@ -89,29 +98,39 @@ void PrintOpStatsPass::runOnOperation() {
     auto op_name = op->getName().stripDialect();
     auto dialect_name = op->getDialect()->getNamespace();
 
-    if (op->getNumResults() > 0) {
-      if (auto shaped_type =
-              op->getResult(0).getType().dyn_cast_or_null<ShapedType>()) {
-        auto result = shaped_type.getElementType();
+    if (op->getNumResults() > 0 &&
+        isa<ShapedType>(op->getResult(0).getType())) {
+      // Use rhs operand to detect types for dynamic range quantizable ops.
+      Value value_for_deducing_op_type =
+          (dyn_cast_or_null<DynamicRangeQuantizedOpInterface>(op))
+              ? op->getOperand(1)
+              : op->getResult(0);
+      ShapedType value_shaped_type =
+          value_for_deducing_op_type.getType().dyn_cast_or_null<ShapedType>();
+      if (value_shaped_type != nullptr) {
+        auto operand_or_result = value_shaped_type.getElementType();
         std::string dtype;
 
-        TypeSwitch<Type>(result)
+        TypeSwitch<Type>(operand_or_result)
             .Case<IntegerType>([&](Type) {
-              dtype = absl::StrCat("i", result.getIntOrFloatBitWidth());
+              dtype =
+                  absl::StrCat("i", operand_or_result.getIntOrFloatBitWidth());
             })
             .Case<FloatType>([&](Type) {
-              dtype = absl::StrCat("f", result.getIntOrFloatBitWidth());
+              dtype =
+                  absl::StrCat("f", operand_or_result.getIntOrFloatBitWidth());
             })
             .Case<UniformQuantizedType>([&](Type) {
               auto uniform_quantized_dtype =
-                  result.dyn_cast_or_null<UniformQuantizedType>()
+                  operand_or_result.dyn_cast_or_null<UniformQuantizedType>()
                       .getStorageType();
               dtype = absl::StrCat(
                   "uq_", uniform_quantized_dtype.getIntOrFloatBitWidth());
             })
             .Case<quant::UniformQuantizedPerAxisType>([&](Type) {
               auto uniform_quantized_dtype =
-                  result.dyn_cast_or_null<quant::UniformQuantizedPerAxisType>()
+                  operand_or_result
+                      .dyn_cast_or_null<quant::UniformQuantizedPerAxisType>()
                       .getStorageType();
               dtype = absl::StrCat(
                   "uq_", uniform_quantized_dtype.getIntOrFloatBitWidth());