comparison_benchmark.md

Ruvector Benchmark Results

Generated: 2026-01-18 21:59:06 UTC

ruvector_optimized

Dataset: synthetic (384D, 10000 vectors)

Performance

• QPS: 1215.90
• Latency (p50): 0.78ms
• Latency (p95): 0.78ms
• Latency (p99): 0.78ms
• Latency (p99.9): 0.78ms

Recall

• Recall@1: 100.00%
• Recall@10: 100.00%
• Recall@100: 100.00%

Resources

• Memory: 0.00 MB
• Build Time: 0.00s

ruvector_no_quant

Dataset: synthetic (384D, 10000 vectors)

Performance

• QPS: 1218.00
• Latency (p50): 0.78ms
• Latency (p95): 0.78ms
• Latency (p99): 0.78ms
• Latency (p99.9): 0.78ms

Recall

• Recall@1: 100.00%
• Recall@10: 100.00%
• Recall@100: 100.00%

Resources

• Memory: 0.00 MB
• Build Time: 0.00s

python_baseline

Dataset: synthetic (384D, 10000 vectors)

Performance

• QPS: 77.46
• Latency (p50): 11.88ms
• Latency (p95): 11.88ms
• Latency (p99): 11.88ms
• Latency (p99.9): 11.88ms

Recall

• Recall@1: 100.00%
• Recall@10: 100.00%
• Recall@100: 100.00%

Resources

• Memory: 0.00 MB
• Build Time: 0.00s

brute_force

Dataset: synthetic (384D, 10000 vectors)

Performance

• QPS: 12.17
• Latency (p50): 77.76ms
• Latency (p95): 77.76ms
• Latency (p99): 77.76ms
• Latency (p99.9): 77.76ms

Recall

• Recall@1: 100.00%
• Recall@10: 100.00%
• Recall@100: 100.00%

Resources

• Memory: 0.00 MB
• Build Time: 0.00s