jpountz commented on PR #15039:
URL: https://github.com/apache/lucene/pull/15039#issuecomment-3166506010

   Even though `SimScorer#score` is monomorphic when running luceneutil, this 
change still yields a speedup.
   
   ```
                               TaskQPS baseline      StdDevQPS 
my_modified_version      StdDev                Pct diff p-value
                      TermTitleSort       84.03      (9.4%)       82.36      
(4.7%)   -2.0% ( -14% -   13%) 0.479
                       CombinedTerm       39.33      (0.8%)       39.03      
(0.7%)   -0.8% (  -2% -    0%) 0.005
                FilteredAndHighHigh       78.80      (1.7%)       78.22      
(1.7%)   -0.7% (  -4% -    2%) 0.254
               FilteredAndStopWords       65.21      (1.8%)       64.75      
(2.0%)   -0.7% (  -4% -    3%) 0.328
                         TermDTSort      384.93      (3.0%)      383.03      
(2.8%)   -0.5% (  -6% -    5%) 0.652
                     FilteredPhrase       32.27      (1.1%)       32.17      
(1.2%)   -0.3% (  -2% -    2%) 0.485
                          CountTerm     9292.09      (3.8%)     9271.80      
(2.2%)   -0.2% (  -6% -    6%) 0.853
                  FilteredAnd3Terms      191.13      (0.7%)      190.90      
(0.8%)   -0.1% (  -1% -    1%) 0.649
                    CountAndHighMed      310.74      (1.4%)      310.39      
(1.4%)   -0.1% (  -2% -    2%) 0.832
                   CountAndHighHigh      360.15      (2.1%)      359.87      
(1.9%)   -0.1% (  -3% -    3%) 0.918
                   FilteredOr3Terms      167.20      (1.0%)      167.09      
(0.8%)   -0.1% (  -1% -    1%) 0.843
                        CountPhrase        4.26      (1.2%)        4.26      
(1.6%)   -0.0% (  -2% -    2%) 0.964
            CountFilteredOrHighHigh      137.25      (0.9%)      137.24      
(0.7%)   -0.0% (  -1% -    1%) 0.998
        FilteredAnd2Terms2StopWords      215.45      (0.9%)      215.45      
(0.8%)   -0.0% (  -1% -    1%) 0.999
                CombinedAndHighHigh       23.39      (1.1%)       23.40      
(0.9%)    0.0% (  -1% -    2%) 0.924
                 CombinedOrHighHigh       23.19      (1.4%)       23.21      
(0.9%)    0.1% (  -2% -    2%) 0.883
             CountFilteredOrHighMed      149.14      (0.7%)      149.25      
(0.6%)    0.1% (  -1% -    1%) 0.765
                CountFilteredOrMany       27.26      (1.4%)       27.29      
(1.1%)    0.1% (  -2% -    2%) 0.862
                 FilteredAndHighMed      156.46      (1.0%)      156.63      
(1.0%)    0.1% (  -1% -    2%) 0.790
                  FilteredOrHighMed      153.23      (1.0%)      153.40      
(1.0%)    0.1% (  -1% -    2%) 0.765
                     FilteredOrMany       16.50      (2.4%)       16.53      
(1.6%)    0.2% (  -3% -    4%) 0.843
                  CombinedOrHighMed       88.23      (0.9%)       88.39      
(0.7%)    0.2% (  -1% -    1%) 0.553
                 CombinedAndHighMed       89.40      (0.8%)       89.59      
(0.9%)    0.2% (  -1% -    1%) 0.510
                   AndMedOrHighHigh       88.85      (1.1%)       89.04      
(1.3%)    0.2% (  -2% -    2%) 0.619
                     CountOrHighMed      362.64      (1.4%)      363.48      
(1.3%)    0.2% (  -2% -    3%) 0.653
                CountFilteredPhrase       25.46      (1.7%)       25.52      
(1.5%)    0.3% (  -2% -    3%) 0.669
                             OrMany       23.56      (2.5%)       23.63      
(2.2%)    0.3% (  -4% -    5%) 0.744
                     FilteredIntNRQ      298.55      (0.6%)      299.46      
(0.8%)    0.3% (  -1% -    1%) 0.261
         FilteredOr2Terms2StopWords      147.06      (1.0%)      147.54      
(1.1%)    0.3% (  -1% -    2%) 0.415
                    CountOrHighHigh      343.27      (2.1%)      344.40      
(2.0%)    0.3% (  -3% -    4%) 0.672
                       FilteredTerm      162.14      (2.8%)      162.70      
(2.2%)    0.3% (  -4% -    5%) 0.718
                        CountOrMany       29.15      (1.4%)       29.27      
(1.2%)    0.4% (  -2% -    3%) 0.420
                 FilteredOrHighHigh       66.92      (2.1%)       67.25      
(1.8%)    0.5% (  -3% -    4%) 0.503
                FilteredOrStopWords       45.53      (2.3%)       45.78      
(2.1%)    0.6% (  -3% -    5%) 0.504
                    FilteredPrefix3      151.12      (2.5%)      152.02      
(1.8%)    0.6% (  -3% -    5%) 0.467
                      TermMonthSort     3335.12      (2.1%)     3355.82      
(2.1%)    0.6% (  -3% -    4%) 0.434
                          And3Terms      242.26      (1.1%)      244.68      
(1.0%)    1.0% (  -1% -    3%) 0.012
                    AndHighOrMedMed       50.85      (1.6%)       51.36      
(1.1%)    1.0% (  -1% -    3%) 0.059
                And2Terms2StopWords      205.51      (1.4%)      208.13      
(1.3%)    1.3% (  -1% -    3%) 0.011
                  TermDayOfYearSort      284.17      (2.6%)      288.16      
(1.5%)    1.4% (  -2% -    5%) 0.077
                           Or3Terms      232.40      (1.6%)      235.89      
(1.3%)    1.5% (  -1% -    4%) 0.006
                 Or2Terms2StopWords      205.85      (1.5%)      209.59      
(1.2%)    1.8% (   0% -    4%) 0.000
                         AndHighMed      203.33      (1.5%)      207.11      
(1.5%)    1.9% (  -1% -    4%) 0.001
                       AndStopWords       47.25      (2.3%)       48.13      
(2.0%)    1.9% (  -2% -    6%) 0.022
                               Term      663.37      (5.9%)      675.77      
(5.7%)    1.9% (  -9% -   14%) 0.397
                        AndHighHigh       69.26      (2.4%)       70.92      
(2.0%)    2.4% (  -1% -    6%) 0.004
                          OrHighMed      257.23      (2.2%)      263.59      
(1.8%)    2.5% (  -1% -    6%) 0.001
                        OrStopWords       48.68      (3.1%)       50.25      
(2.1%)    3.2% (  -1% -    8%) 0.001
                         OrHighHigh       77.59      (2.9%)       80.15      
(2.1%)    3.3% (  -1% -    8%) 0.001
                         OrHighRare      285.82      (9.8%)      299.46      
(6.3%)    4.8% ( -10% -   23%) 0.125
   ```
   
   There are still a number of places where score computations are not 
vectorized, specifically:
    - When computing scores from impacts,
    - MaxScore's non-essential clauses,
    - All BlockMaxConjunctionBulkScorer's clauses but the leading clause.


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