From the description it's an aggregate of the common modern JVM workloads.
The following is the complete list of benchmarks, separated into groups.
actors
akka-uct - Runs the Unbalanced Cobwebbed Tree actor workload in Akka. (default repetitions: 24)
reactors - Runs benchmarks inspired by the Savina microbenchmark workloads in a sequence on Reactors.IO. (default repetitions: 10)
apache-spark
als - Runs the ALS algorithm from the Spark MLlib. (default repetitions: 60)
chi-square - Runs the chi-square test from Spark MLlib. (default repetitions: 60)
dec-tree - Runs the Random Forest algorithm from Spark MLlib. (default repetitions: 40)
gauss-mix - Computes a Gaussian mixture model using expectation-maximization. (default repetitions: 40)
log-regression - Runs the logistic regression workload from the Spark MLlib. (default repetitions: 20)
movie-lens - Recommends movies using the ALS algorithm. (default repetitions: 20)
naive-bayes - Runs the multinomial naive Bayes algorithm from the Spark MLlib. (default repetitions: 30)
page-rank - Runs a number of PageRank iterations, using RDDs. (default repetitions: 20)
core
dummy - A dummy benchmark, which does no work. It is used only to test the harness. (default repetitions: 20)
database
db-shootout - Executes a shootout test using several in-memory databases. (default repetitions: 16)
jdk-concurrent
fj-kmeans - Runs the k-means algorithm using the fork/join framework. (default repetitions: 30)
future-genetic - Runs a genetic algorithm using the Jenetics library and futures. (default repetitions: 50)
jdk-streams
mnemonics - Solves the phone mnemonics problem using JDK streams. (default repetitions: 16)
par-mnemonics - Solves the phone mnemonics problem using parallel JDK streams. (default repetitions: 16)
scrabble - Solves the Scrabble puzzle using JDK Streams. (default repetitions: 50)
neo4j
neo4j-analytics - Executes Neo4J graph queries against a movie database. (default repetitions: 20)
rx
rx-scrabble - Solves the Scrabble puzzle using the Rx streams. (default repetitions: 80)
scala-dotty
dotty - Runs the Dotty compiler on a set of source code files. (default repetitions: 50)
scala-stdlib
scala-kmeans - Runs the K-Means algorithm using Scala collections. (default repetitions: 50)
scala-stm
philosophers - Solves a variant of the dining philosophers problem using ScalaSTM. (default repetitions: 30)
scala-stm-bench7 - Runs the stmbench7 benchmark using ScalaSTM. (default repetitions: 60)
twitter-finagle
finagle-chirper - Simulates a microblogging service using Twitter Finagle. (default repetitions: 90)
finagle-http - Sends many small Finagle HTTP requests to a Finagle HTTP server, and awaits the response. (default repetitions: 12)
The following is the complete list of benchmarks, separated into groups.
actors akka-uct - Runs the Unbalanced Cobwebbed Tree actor workload in Akka. (default repetitions: 24)
reactors - Runs benchmarks inspired by the Savina microbenchmark workloads in a sequence on Reactors.IO. (default repetitions: 10)
apache-spark als - Runs the ALS algorithm from the Spark MLlib. (default repetitions: 60)
chi-square - Runs the chi-square test from Spark MLlib. (default repetitions: 60)
dec-tree - Runs the Random Forest algorithm from Spark MLlib. (default repetitions: 40)
gauss-mix - Computes a Gaussian mixture model using expectation-maximization. (default repetitions: 40)
log-regression - Runs the logistic regression workload from the Spark MLlib. (default repetitions: 20)
movie-lens - Recommends movies using the ALS algorithm. (default repetitions: 20)
naive-bayes - Runs the multinomial naive Bayes algorithm from the Spark MLlib. (default repetitions: 30)
page-rank - Runs a number of PageRank iterations, using RDDs. (default repetitions: 20)
core dummy - A dummy benchmark, which does no work. It is used only to test the harness. (default repetitions: 20) database db-shootout - Executes a shootout test using several in-memory databases. (default repetitions: 16) jdk-concurrent fj-kmeans - Runs the k-means algorithm using the fork/join framework. (default repetitions: 30)
future-genetic - Runs a genetic algorithm using the Jenetics library and futures. (default repetitions: 50)
jdk-streams mnemonics - Solves the phone mnemonics problem using JDK streams. (default repetitions: 16)
par-mnemonics - Solves the phone mnemonics problem using parallel JDK streams. (default repetitions: 16)
scrabble - Solves the Scrabble puzzle using JDK Streams. (default repetitions: 50)
neo4j neo4j-analytics - Executes Neo4J graph queries against a movie database. (default repetitions: 20) rx rx-scrabble - Solves the Scrabble puzzle using the Rx streams. (default repetitions: 80) scala-dotty dotty - Runs the Dotty compiler on a set of source code files. (default repetitions: 50) scala-stdlib scala-kmeans - Runs the K-Means algorithm using Scala collections. (default repetitions: 50) scala-stm philosophers - Solves a variant of the dining philosophers problem using ScalaSTM. (default repetitions: 30)
scala-stm-bench7 - Runs the stmbench7 benchmark using ScalaSTM. (default repetitions: 60)
twitter-finagle finagle-chirper - Simulates a microblogging service using Twitter Finagle. (default repetitions: 90)
finagle-http - Sends many small Finagle HTTP requests to a Finagle HTTP server, and awaits the response. (default repetitions: 12)