diff --git a/core/src/main/scala/org/apache/spark/memory/MemoryManager.scala b/core/src/main/scala/org/apache/spark/memory/MemoryManager.scala
index c08b47f99dda3..596974f338fd8 100644
--- a/core/src/main/scala/org/apache/spark/memory/MemoryManager.scala
+++ b/core/src/main/scala/org/apache/spark/memory/MemoryManager.scala
@@ -17,8 +17,11 @@
 
 package org.apache.spark.memory
 
+import java.lang.management.{ManagementFactory, PlatformManagedObject}
 import javax.annotation.concurrent.GuardedBy
 
+import scala.util.Try
+
 import org.apache.spark.SparkConf
 import org.apache.spark.internal.Logging
 import org.apache.spark.internal.config._
@@ -27,6 +30,7 @@ import org.apache.spark.storage.memory.MemoryStore
 import org.apache.spark.unsafe.Platform
 import org.apache.spark.unsafe.array.ByteArrayMethods
 import org.apache.spark.unsafe.memory.MemoryAllocator
+import org.apache.spark.util.Utils
 
 /**
  * An abstract memory manager that enforces how memory is shared between execution and storage.
@@ -242,8 +246,12 @@ private[spark] abstract class MemoryManager(
    * If user didn't explicitly set "spark.buffer.pageSize", we figure out the default value
    * by looking at the number of cores available to the process, and the total amount of memory,
    * and then divide it by a factor of safety.
+   *
+   * SPARK-37593 If we are using G1GC, it's better to take the LONG_ARRAY_OFFSET
+   * into consideration so that the requested memory size is power of 2
+   * and can be divided by G1 heap region size to reduce memory waste within one G1 region.
    */
-  val pageSizeBytes: Long = {
+  private lazy val defaultPageSizeBytes = {
     val minPageSize = 1L * 1024 * 1024   // 1MB
     val maxPageSize = 64L * minPageSize  // 64MB
     val cores = if (numCores > 0) numCores else Runtime.getRuntime.availableProcessors()
@@ -254,10 +262,16 @@ private[spark] abstract class MemoryManager(
       case MemoryMode.OFF_HEAP => offHeapExecutionMemoryPool.poolSize
     }
     val size = ByteArrayMethods.nextPowerOf2(maxTungstenMemory / cores / safetyFactor)
-    val default = math.min(maxPageSize, math.max(minPageSize, size))
-    conf.get(BUFFER_PAGESIZE).getOrElse(default)
+    val chosenPageSize = math.min(maxPageSize, math.max(minPageSize, size))
+    if (isG1GC && tungstenMemoryMode == MemoryMode.ON_HEAP) {
+      chosenPageSize - Platform.LONG_ARRAY_OFFSET
+    } else {
+      chosenPageSize
+    }
   }
 
+  val pageSizeBytes: Long = conf.get(BUFFER_PAGESIZE).getOrElse(defaultPageSizeBytes)
+
   /**
    * Allocates memory for use by Unsafe/Tungsten code.
    */
@@ -267,4 +281,22 @@ private[spark] abstract class MemoryManager(
       case MemoryMode.OFF_HEAP => MemoryAllocator.UNSAFE
     }
   }
+
+  /**
+   * Return whether we are using G1GC or not
+   */
+  private lazy val isG1GC: Boolean = {
+    Try {
+      val clazz = Utils.classForName("com.sun.management.HotSpotDiagnosticMXBean")
+        .asInstanceOf[Class[_ <: PlatformManagedObject]]
+      val vmOptionClazz = Utils.classForName("com.sun.management.VMOption")
+      val hotSpotDiagnosticMXBean = ManagementFactory.getPlatformMXBean(clazz)
+      val vmOptionMethod = clazz.getMethod("getVMOption", classOf[String])
+      val valueMethod = vmOptionClazz.getMethod("getValue")
+
+      val useG1GCObject = vmOptionMethod.invoke(hotSpotDiagnosticMXBean, "UseG1GC")
+      val useG1GC = valueMethod.invoke(useG1GCObject).asInstanceOf[String]
+      "true".equals(useG1GC)
+    }.getOrElse(false)
+  }
 }