apple m2 more

Apple M2 testing with a Apple MacBook Air (13 h M2 2022) and llvmpipe on Arch rolling via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2208123-NE-APPLEM2MO69.

High Performance Conjugate Gradient

NAS Parallel Benchmarks

Test / Class: BT.C

NAS Parallel Benchmarks

Test / Class: CG.C

NAS Parallel Benchmarks

Test / Class: EP.C

NAS Parallel Benchmarks

Test / Class: EP.D

NAS Parallel Benchmarks

Test / Class: LU.C

NAS Parallel Benchmarks

Test / Class: MG.C

NAS Parallel Benchmarks

Test / Class: SP.B

NAS Parallel Benchmarks

Test / Class: SP.C

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

DaCapo Benchmark

Java Test: H2

DaCapo Benchmark

Java Test: Jython

DaCapo Benchmark

Java Test: Tradesoap

DaCapo Benchmark

Java Test: Tradebeans

Renaissance

Test: Scala Dotty

Renaissance

Test: Random Forest

Renaissance

Test: ALS Movie Lens

Renaissance

Test: Apache Spark ALS

Renaissance

Test: Apache Spark Bayes

Renaissance

Test: Savina Reactors.IO

Renaissance

Test: Apache Spark PageRank

Renaissance

Test: Finagle HTTP Requests

Renaissance

Test: In-Memory Database Shootout

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

Coremark

CoreMark Size 666 - Iterations Per Second

libavif avifenc

Encoder Speed: 0

libavif avifenc

Encoder Speed: 2

libavif avifenc

Encoder Speed: 6

libavif avifenc

Encoder Speed: 6, Lossless

libavif avifenc

Encoder Speed: 10, Lossless

Timed FFmpeg Compilation

Time To Compile

Timed MPlayer Compilation

Time To Compile

Aircrack-ng

OpenSSL

Algorithm: SHA256

OpenSSL

Algorithm: RSA4096

OpenSSL

Algorithm: RSA4096

Apache Spark

Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark

Apache Spark

Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 1000000 - Partitions: 100 - Group By Test Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Repartition Test Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Group By Test Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Repartition Test Time

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time

ASKAP

Test: tConvolve OpenMP - Gridding

ASKAP

Test: tConvolve OpenMP - Degridding

ASKAP

Test: Hogbom Clean OpenMP

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

TensorFlow Lite

Model: SqueezeNet

TensorFlow Lite

Model: Inception V4

TensorFlow Lite

Model: NASNet Mobile

TensorFlow Lite

Model: Mobilenet Float

TensorFlow Lite

Model: Mobilenet Quant

TensorFlow Lite

Model: Inception ResNet V2

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Only

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Write

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Only

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Write

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 1 - Mode: Read Only

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 1 - Mode: Read Write

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 50 - Mode: Read Only

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 50 - Mode: Read Write

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency

Redis

Test: LPOP

Redis

Test: SADD

Redis

Test: LPUSH

Redis

Test: GET

Redis

Test: SET

Stress-NG

Test: MMAP

Stress-NG

Test: NUMA

Stress-NG

Test: Futex

Stress-NG

Test: MEMFD

Stress-NG

Test: Atomic

Stress-NG

Test: Crypto

Stress-NG

Test: Malloc

Stress-NG

Test: Forking

Stress-NG

Test: IO_uring

Stress-NG

Test: SENDFILE

Stress-NG

Test: CPU Cache

Stress-NG

Test: CPU Stress

Stress-NG

Test: Semaphores

Stress-NG

Test: Matrix Math

Stress-NG

Test: Vector Math

Stress-NG

Test: Memory Copying

Stress-NG

Test: Socket Activity

Stress-NG

Test: Context Switching

Stress-NG

Test: Glibc C String Functions

Stress-NG

Test: Glibc Qsort Data Sorting

Stress-NG

Test: System V Message Passing

TNN

Target: CPU - Model: DenseNet

TNN

Target: CPU - Model: MobileNet v2

TNN

Target: CPU - Model: SqueezeNet v2

TNN

Target: CPU - Model: SqueezeNet v1.1

Sysbench

Test: RAM / Memory

Sysbench

Test: CPU

nginx

Concurrent Requests: 1

nginx

Concurrent Requests: 20

nginx

Concurrent Requests: 100

nginx

Concurrent Requests: 200

nginx

Concurrent Requests: 500

nginx

Concurrent Requests: 1000

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State

PyHPC Benchmarks

Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing

SPECjbb 2015

SPECjbb2015-Composite max-jOPS

SPECjbb 2015

SPECjbb2015-Composite critical-jOPS

Apache Spark

Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark

Apache Spark

Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 20000000 - Partitions: 100 - Group By Test Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Repartition Test Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time

Apache Spark

Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark

Apache Spark

Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 40000000 - Partitions: 100 - Group By Test Time

Apache Spark

Row Count: 40000000 - Partitions: 100 - Repartition Test Time

Apache Spark

Row Count: 40000000 - Partitions: 100 - Inner Join Test Time

Apache Spark

Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Group By Test Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Repartition Test Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Group By Test Time

Apache Spark

Row Count: 20000000 - Partitions: 1000 - Repartition Test Time