[pytx] Update benchmarks with PDQ Faiss results (#1755)

python-threatexchange/benchmarks/README.MD

@@ -1,45 +1,81 @@
-# pytx-vpdq
-Benchmark vPDQ implementation in threatexchange library
+# pytx-vPDQ
+Benchmark vPDQ implementation & PDQ Faiss matchers in the threatexchange library.
 
 
 # Observed Performance
-MacBook Pro (16-inch, 2021), Apple M1 Pro, 32 GB Ram
+- Model: MacBook Air
+- Memory: 16 GB
+- Operating System: macOS 15.2
+- Chip: Apple M2
+- Core Configuration: 8 cores total
 
-Results:
+
+Results (vPDQ):
 -------
 ```
-python3 benchmark_vpdq_index.py brute_force -f 500 -v 20  -q 1000
+% python3 benchmark_vpdq_index.py brute_force -f 500 -v 20  -q 1000
 build: 0.0000s
-query: 7.1112s
-  Per query: 7.1112ms
+query: 684.5324s
+  Per query: 684.5324ms
+
 
 % python3 benchmark_vpdq_index.py flat -f 500 -v 20 -q 1000
-build: 0.0130s
-query: 0.0157s
-  Per query: 0.0157ms
+build: 0.0048s
+query: 0.0051s
+  Per query: 0.0051ms
 
 
 % python3 benchmark_vpdq_index.py signal_type -f 500 -v 2000 -q 10000
 Generating data...
-Generating data: 8.7703s
-build: 16.8385s
-query: 5.8271s
-  Per query: 0.5827ms
+Generating data: 1.2398s
+build: 3.2970s
+query: 2.8439s
+  Per query: 0.2844ms
+
 
 % python3 benchmark_vpdq_index.py flat -f 500 -v 2000 -q 10000
 Generating data...
-Generating data: 9.0299s
-build: 1.1329s
-query: 5.4447s
-  Per query: 0.5445ms
+Generating data: 1.2237s
+build: 0.4786s
+query: 2.5248s
+  Per query: 0.2525ms
 
 
 % python3 benchmark_vpdq_index.py flat -f 500 -v 2000 -q 100000
 Generating data...
-Generating data: 8.9390s
-build: 1.1269s
+Generating data: 1.2195s
+build: 0.4800s
 Generating queries...
-Generating queries: 1.2121s
-query: 56.0504s
-  Per query: 0.5605ms
+Generating queries: 0.1017s
+query: 26.0294s
+  Per query: 0.2603ms
+```
+
+Results (PDQ Faiss):
+-------
+```
+% python3 benchmarks/benchmark_pdq_faiss_matchers.py --dataset-size 10000 --num-queries 1000 --thresholds 31
+Benchmark: PDQ Faiss Matcher Comparison
+
+Options:
+	 faiss_threads :  1
+	 dataset_size :  10000
+	 num_queries :  1000
+	 thresholds :  [31]
+	 seed :  None
+
+using random seed of  1739236966565067000
+use --seed  1739236966565067000  to rerun with same random values
+
+Building Stats:
+	PDQFlatHashIndex: time to build (s):  0.015399932861328125
+	PDQFlatHashIndex: approximate size: 390KB
+	PDQMultiHashIndex: time to build (s):  0.030457258224487305
+	PDQMultiHashIndex: approximate size: 1,207KB
+
+Benchmarks for threshold:  31
+	PDQFlatHashIndex - Total Time to search  (s):  0.012083053588867188
+	PDQMultiHashIndex - Total Time to search  (s):  0.01529383659362793
+	PDQFlatHashIndex - Precent of targets found:  100.0
+	PDQMultiHashIndex - Precent of targets found:  100.0
 ```

python-threatexchange/benchmarks/benchmark_pdq_faiss_matchers.py

@@ -2,7 +2,6 @@
 
 import argparse
 import binascii
-import os
 import time
 import pickle