mccullocht commented on PR #15742:
URL: https://github.com/apache/lucene/pull/15742#issuecomment-3956642283

   x86 benchmarks:
   ```Baseline:
   Benchmark                                                       (size)   
Mode  Cnt   Score   Error   Units
   VectorUtilBenchmark.binaryHalfByteDotProductBothPackedVector      1024  
thrpt   15  23.675 ± 0.031  ops/us
   VectorUtilBenchmark.binaryHalfByteDotProductSinglePackedVector    1024  
thrpt   15  11.855 ± 0.059  ops/us
   VectorUtilBenchmark.binaryHalfByteDotProductVector                1024  
thrpt   15  68.691 ± 0.816  ops/us
   VectorUtilBenchmark.binaryHalfByteSquareBothPackedVector          1024  
thrpt   15  30.269 ± 0.148  ops/us
   VectorUtilBenchmark.binaryHalfByteSquareSinglePackedVector        1024  
thrpt   15  12.770 ± 0.139  ops/us
   VectorUtilBenchmark.binaryHalfByteSquareVector                    1024  
thrpt   15  72.246 ± 0.406  ops/us
   
   Experiment:
   Benchmark                                                       (size)   
Mode  Cnt   Score   Error   Units
   VectorUtilBenchmark.binaryHalfByteDotProductBothPackedVector      1024  
thrpt   15  35.692 ± 0.152  ops/us
   VectorUtilBenchmark.binaryHalfByteDotProductSinglePackedVector    1024  
thrpt   15  42.843 ± 0.523  ops/us
   VectorUtilBenchmark.binaryHalfByteDotProductVector                1024  
thrpt   15  65.359 ± 0.618  ops/us
   VectorUtilBenchmark.binaryHalfByteSquareBothPackedVector          1024  
thrpt   15  34.310 ± 0.105  ops/us
   VectorUtilBenchmark.binaryHalfByteSquareSinglePackedVector        1024  
thrpt   15  42.061 ± 0.312  ops/us
   VectorUtilBenchmark.binaryHalfByteSquareVector                    1024  
thrpt   15  57.315 ± 0.760  ops/us
   ```
   
   VectorUtilBenchmark.binaryHalfByteSquareVector is quite a bit slower, but I 
also don't know under what conditions we'd actually run this. I suspect we 
don't do a ton of distance comparisons using two unpacked int4 vectors.


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