I am just going to say: have a try with the LDBC social benchmark <a href="http:&#x2F;&#x2F;ldbcouncil.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;ldbcouncil.org&#x2F;</a> and <a href="http:&#x2F;&#x2F;ldbcouncil.org&#x2F;benchmarks" rel="nofollow">http:&#x2F;&#x2F;ldbcouncil.org&#x2F;benchmarks</a>. Where you can even have audited results.<p>These are also graph database benchmarks that are synthetic, designed to look like real data and are quite hard to do well on.<p>As someone responsible for a public free to use deployment of a graph database with more than 2 billion nodes and 15 billion edges (sparql.uniprot.org) I must say this looks like a SPARQL benchmark from 10 years ago.