diff --git a/Taskfile.yaml b/Taskfile.yaml
index 8c63e54e4..eb8feac92 100644
--- a/Taskfile.yaml
+++ b/Taskfile.yaml
@@ -56,7 +56,7 @@ tasks:
       - venv/bin/python run.py --dataset fashion-mnist-784-euclidean --algorithm elastiknn-l2lsh --runs 3 --count 100 --parallelism 1 --force --local
       - mkdir -p $RESULTS_DIR
       - venv/bin/python plot.py --dataset fashion-mnist-784-euclidean --count 100 --output $RESULTS_DIR/plot.png | venv/bin/python ../parse_results.py > $RESULTS_DIR/results.md
-      - base64 -b 0 -i $RESULTS_DIR/plot.png > $RESULTS_DIR/plot.b64
+      - base64 -w 0 -i $RESULTS_DIR/plot.png > $RESULTS_DIR/plot.b64
       - cat $RESULTS_DIR/results.md
 
   annbRunOfficialFashionMnist:
diff --git a/docs/pages/performance/fashion-mnist/plot.b64 b/docs/pages/performance/fashion-mnist/plot.b64
index dd423d96d..c8562d6d3 100644
--- a/docs/pages/performance/fashion-mnist/plot.b64
+++ b/docs/pages/performance/fashion-mnist/plot.b64
@@ -1 +1 @@
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
\ No newline at end of file
diff --git a/docs/pages/performance/fashion-mnist/plot.png b/docs/pages/performance/fashion-mnist/plot.png
index 62ef9a834..d645724eb 100644
Binary files a/docs/pages/performance/fashion-mnist/plot.png and b/docs/pages/performance/fashion-mnist/plot.png differ
diff --git a/docs/pages/performance/fashion-mnist/results.md b/docs/pages/performance/fashion-mnist/results.md
index e67dbeecf..ec02e82bd 100644
--- a/docs/pages/performance/fashion-mnist/results.md
+++ b/docs/pages/performance/fashion-mnist/results.md
@@ -1,10 +1,10 @@
 |Model|Parameters|Recall|Queries per Second|
 |---|---|---|---|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|346.083|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.446|289.601|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.634|276.494|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|242.322|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|301.259|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|259.373|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|201.386|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|180.637|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|337.457|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.446|281.828|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.634|272.814|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|232.698|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|303.686|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.846|254.121|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|215.233|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|190.689|
diff --git a/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/ArrayHitCounter.java b/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/ArrayHitCounter.java
index c7688a0d1..1802120d1 100644
--- a/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/ArrayHitCounter.java
+++ b/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/ArrayHitCounter.java
@@ -21,6 +21,15 @@ public ArrayHitCounter(int capacity) {
         maxKey = 0;
     }
 
+    @Override
+    public void increment(int key) {
+        if (counts[key]++ == 0) {
+            numHits++;
+            minKey = Math.min(key, minKey);
+            maxKey = Math.max(key, maxKey);
+        }
+    }
+
     @Override
     public void increment(int key, short count) {
         if ((counts[key] += count) == count) {
diff --git a/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/EmptyHitCounter.java b/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/EmptyHitCounter.java
index 7ec9c35e6..f40bc17e3 100644
--- a/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/EmptyHitCounter.java
+++ b/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/EmptyHitCounter.java
@@ -3,6 +3,10 @@
 import org.apache.lucene.search.KthGreatest;
 
 public final class EmptyHitCounter implements HitCounter {
+
+    @Override
+    public void increment(int key) {}
+
     @Override
     public void increment(int key, short count) {}
 
diff --git a/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/HitCounter.java b/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/HitCounter.java
index 35af1f5a8..c895126e0 100644
--- a/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/HitCounter.java
+++ b/elastiknn-lucene/src/main/java/com/klibisz/elastiknn/search/HitCounter.java
@@ -7,6 +7,8 @@
  */
 public interface HitCounter {
 
+    void increment(int key);
+
     void increment(int key, short count);
 
     boolean isEmpty();
diff --git a/elastiknn-lucene/src/main/java/org/apache/lucene/search/MatchHashesAndScoreQuery.java b/elastiknn-lucene/src/main/java/org/apache/lucene/search/MatchHashesAndScoreQuery.java
index 847b6c024..4dabd9f57 100644
--- a/elastiknn-lucene/src/main/java/org/apache/lucene/search/MatchHashesAndScoreQuery.java
+++ b/elastiknn-lucene/src/main/java/org/apache/lucene/search/MatchHashesAndScoreQuery.java
@@ -67,10 +67,23 @@ private HitCounter countHits(LeafReader reader) throws IOException {
                     // TODO: Is this the right place to use the live docs bitset to check for deleted docs?
                     // Bits liveDocs = reader.getLiveDocs();
                     for (HashAndFreq hf : hashAndFrequencies) {
-                        if (termsEnum.seekExact(new BytesRef(hf.hash))) {
-                            docs = termsEnum.postings(docs, PostingsEnum.NONE);
-                            while (docs.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
-                                counter.increment(docs.docID(), (short) min(hf.freq, docs.freq()));
+                        // We take two different paths here, depending on the frequency of the current hash.
+                        // If the frequency is one, we avoid checking the frequency of matching docs when
+                        // incrementing the counter. This yields a ~5% to ~10% speedup.
+                        // See https://github.com/alexklibisz/elastiknn/pull/612 for details.
+                        if (hf.freq == 1) {
+                            if (termsEnum.seekExact(new BytesRef(hf.hash))) {
+                                docs = termsEnum.postings(docs, PostingsEnum.NONE);
+                                while (docs.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
+                                    counter.increment(docs.docID());
+                                }
+                            }
+                        } else {
+                            if (termsEnum.seekExact(new BytesRef(hf.hash))) {
+                                docs = termsEnum.postings(docs, PostingsEnum.NONE);
+                                while (docs.nextDoc() != DocIdSetIterator.NO_MORE_DOCS) {
+                                    counter.increment(docs.docID(), (short) min(hf.freq, docs.freq()));
+                                }
                             }
                         }
                     }