diff --git a/src/ImageSharp/Common/Helpers/Numerics.cs b/src/ImageSharp/Common/Helpers/Numerics.cs
index 21883bfb4..e5a6b4549 100644
--- a/src/ImageSharp/Common/Helpers/Numerics.cs
+++ b/src/ImageSharp/Common/Helpers/Numerics.cs
@@ -1,4 +1,4 @@
-// Copyright (c) Six Labors.
+// Copyright (c) Six Labors.
 // Licensed under the Six Labors Split License.
 
 using System.Numerics;
@@ -1033,13 +1033,4 @@ internal static class Numerics
     public static nuint Vector512Count<TVector>(int length)
         where TVector : struct
         => (uint)length / (uint)Vector512<TVector>.Count;
-
-    /// <summary>
-    /// Normalizes the values in a given <see cref="Span{T}"/>.
-    /// </summary>
-    /// <param name="span">The sequence of <see cref="float"/> values to normalize.</param>
-    /// <param name="sum">The sum of the values in <paramref name="span"/>.</param>
-    [MethodImpl(MethodImplOptions.AggressiveInlining)]
-    public static void Normalize(Span<float> span, float sum)
-        => TensorPrimitives.Divide(span, sum, span);
 }
diff --git a/src/ImageSharp/Processing/Processors/Transforms/Resize/ResizeKernelMap.cs b/src/ImageSharp/Processing/Processors/Transforms/Resize/ResizeKernelMap.cs
index 0b8106e0b..b397b9999 100644
--- a/src/ImageSharp/Processing/Processors/Transforms/Resize/ResizeKernelMap.cs
+++ b/src/ImageSharp/Processing/Processors/Transforms/Resize/ResizeKernelMap.cs
@@ -3,6 +3,7 @@
 
 using System.Buffers;
 using System.Diagnostics;
+using System.Numerics.Tensors;
 using System.Runtime.CompilerServices;
 using System.Runtime.InteropServices;
 using SixLabors.ImageSharp.Memory;
@@ -243,7 +244,7 @@ internal partial class ResizeKernelMap : IDisposable
         // Normalize, best to do it here rather than in the pixel loop later on.
         if (sum > 0)
         {
-            Numerics.Normalize(kernelValues, sum);
+            TensorPrimitives.Divide(kernelValues, sum, kernelValues);
         }
 
         kernel.FillOrCopyAndExpand(kernelValues);
diff --git a/tests/ImageSharp.Benchmarks/ImageSharp.Benchmarks.csproj b/tests/ImageSharp.Benchmarks/ImageSharp.Benchmarks.csproj
index e060e1f33..c3733c73c 100644
--- a/tests/ImageSharp.Benchmarks/ImageSharp.Benchmarks.csproj
+++ b/tests/ImageSharp.Benchmarks/ImageSharp.Benchmarks.csproj
@@ -69,7 +69,6 @@
     <PackageReference Include="SharpZipLib" />
     <PackageReference Include="SkiaSharp" />
     <PackageReference Include="System.Drawing.Common" />
-    <PackageReference Include="System.Numerics.Tensors" Version="10.0.0" Condition="'$(TargetFramework)' == 'net10.0'" />
   </ItemGroup>
 
   <!-- Exclude benchmarks using internals, in case of unsigned benchmark execution: -->
diff --git a/tests/ImageSharp.Tests/Common/NumericsTests.cs b/tests/ImageSharp.Tests/Common/NumericsTests.cs
index 4b2ac003a..6f35118e2 100644
--- a/tests/ImageSharp.Tests/Common/NumericsTests.cs
+++ b/tests/ImageSharp.Tests/Common/NumericsTests.cs
@@ -5,42 +5,12 @@ namespace SixLabors.ImageSharp.Tests.Common;
 
 public class NumericsTests
 {
-    private static readonly int[] NormalizeSpanLengthValues =
-    [
-        0,
-        1,
-        3,
-        4,
-        5,
-        7,
-        8,
-        9,
-        15,
-        16,
-        17,
-        31,
-        32,
-        33,
-        63,
-        64,
-        65,
-        127,
-        128,
-        129,
-        2048
-    ];
-
     private ITestOutputHelper Output { get; }
 
     public NumericsTests(ITestOutputHelper output) => this.Output = output;
 
     public static TheoryData<int> IsOutOfRangeTestData = new() { int.MinValue, -1, 0, 1, 6, 7, 8, 91, 92, 93, int.MaxValue };
 
-    /// <summary>
-    /// Gets lengths that exercise scalar execution and the supported SIMD widths.
-    /// </summary>
-    public static TheoryData<int> NormalizeSpanLengths => new(NormalizeSpanLengthValues);
-
     private static uint DivideCeil_ReferenceImplementation(uint value, uint divisor) => (uint)MathF.Ceiling((float)value / divisor);
 
     [Fact]
@@ -84,30 +54,4 @@ public class NumericsTests
         Assert.True(expected == actual, $"IsOutOfRange({value}, {min}, {max})");
     }
 
-    /// <summary>
-    /// Verifies that normalization divides every element by the supplied sum.
-    /// </summary>
-    /// <param name="length">The input length.</param>
-    [Theory]
-    [MemberData(nameof(NormalizeSpanLengths))]
-    public void NormalizeMatchesScalarFormula(int length)
-    {
-        float[] actual = new float[length];
-        float[] expected = new float[length];
-
-        for (int i = 0; i < actual.Length; i++)
-        {
-            actual[i] = (i + 1) * 0.125F;
-            expected[i] = actual[i] / 7.5F;
-        }
-
-        Numerics.Normalize(actual, 7.5F);
-
-        Assert.Equal(expected.Length, actual.Length);
-
-        for (int i = 0; i < expected.Length; i++)
-        {
-            Assert.Equal(BitConverter.SingleToInt32Bits(expected[i]), BitConverter.SingleToInt32Bits(actual[i]));
-        }
-    }
 }