Apple M1 Pre Xmas

VirtualApple testing with a Apple Mac mini and Apple M1 on macOS 11.0.1 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012205-HA-APPLEM1PR91
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Performance Per
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Date
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  Test
  Duration
Apple M1
December 20 2020
  3 Hours, 28 Minutes
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Apple M1

Processor: VirtualApple @ 2.40GHz (8 Cores), Motherboard: Apple Mac mini, Memory: 8GB, Disk: 229GB, Graphics: Apple M1, Monitor: DELL P2415Q

OS: macOS 11.0.1, Kernel: 20.1.0 (x86_64), OpenCL: OpenCL 1.2 (Oct 29 2020 19:50:08), Compiler: GCC 12.0.0 + Clang 12.0.0 + Xcode 12.2, File-System: APFS, Screen Resolution: 3840x2160

Environment Notes: XPC_FLAGS=0x0
Python Notes: Python 2.7.16 + Python 3.9.0

Apple M1 Pre XmasOpenBenchmarking.orgPhoronix Test SuiteVirtualApple @ 2.40GHz (8 Cores)Apple Mac mini8GB229GBApple M1DELL P2415QmacOS 11.0.120.1.0 (x86_64)OpenCL 1.2 (Oct 29 2020 19:50:08)GCC 12.0.0 + Clang 12.0.0 + Xcode 12.2APFS3840x2160ProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelOpenCLCompilerFile-SystemScreen ResolutionApple M1 Pre Xmas PerformanceSystem Logs- XPC_FLAGS=0x0- Python 2.7.16 + Python 3.9.0

Apple M1 Pre Xmassimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDcompilebench: Compilecompilebench: Initial Createcompilebench: Read Compiled Treenode-web-tooling: phpbench: PHP Benchmark Suiteonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUhmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbuild-ffmpeg: Time To Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEsqlite-speedtest: Timed Time - Size 1,000encode-wavpack: WAV To WavPackApple M10.530.360.580.58622.23156.97875.2512.3243191961.529832.211992.981914.160179.8508132.397134.806188.012150.110187.89966741.733946.266744.433991.726.652466775.033968.951.4383117.08636.238113.903247.62152.04416.38074.61025.497OpenBenchmarking.org

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaApple M10.11930.23860.35790.47720.5965SE +/- 0.03, N = 120.531. (CXX) g++ options: -O3 -isysroot

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomApple M10.0810.1620.2430.3240.405SE +/- 0.01, N = 150.361. (CXX) g++ options: -O3 -isysroot

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsApple M10.13050.2610.39150.5220.6525SE +/- 0.01, N = 150.581. (CXX) g++ options: -O3 -isysroot

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDApple M10.13050.2610.39150.5220.6525SE +/- 0.01, N = 150.581. (CXX) g++ options: -O3 -isysroot

Compile Bench

Compilebench tries to age a filesystem by simulating some of the disk IO common in creating, compiling, patching, stating and reading kernel trees. It indirectly measures how well filesystems can maintain directory locality as the disk fills up and directories age. This current test is setup to use the makej mode with 10 initial directories Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: CompileApple M1130260390520650SE +/- 6.51, N = 3622.23

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Initial CreateApple M1306090120150SE +/- 0.93, N = 3156.97

OpenBenchmarking.orgMB/s, More Is BetterCompile Bench 0.6Test: Read Compiled TreeApple M12004006008001000SE +/- 70.83, N = 3875.25

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkApple M13691215SE +/- 0.08, N = 312.321. Nodejs v15.4.0

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteApple M190K180K270K360K450KSE +/- 7279.83, N = 3431919

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUApple M11428425670SE +/- 0.01, N = 361.53MIN: 61.241. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUApple M1714212835SE +/- 0.03, N = 332.21MIN: 30.911. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUApple M120406080100SE +/- 0.60, N = 392.98MIN: 92.221. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUApple M148121620SE +/- 0.01, N = 314.16MIN: 14.091. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUApple M120406080100SE +/- 0.17, N = 379.85MIN: 79.521. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUApple M1306090120150SE +/- 0.09, N = 3132.40MIN: 132.031. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUApple M1306090120150SE +/- 0.08, N = 3134.81MIN: 134.621. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUApple M14080120160200SE +/- 0.03, N = 3188.01MIN: 1871. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUApple M1306090120150SE +/- 0.02, N = 3150.11MIN: 149.911. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUApple M14080120160200SE +/- 0.01, N = 3187.90MIN: 187.61. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUApple M114K28K42K56K70KSE +/- 21.39, N = 366741.7MIN: 66688.81. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUApple M17K14K21K28K35KSE +/- 8.37, N = 333946.2MIN: 33913.11. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUApple M114K28K42K56K70KSE +/- 19.96, N = 366744.4MIN: 66686.81. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUApple M17K14K21K28K35KSE +/- 3.96, N = 333991.7MIN: 33978.71. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUApple M1612182430SE +/- 0.01, N = 326.65MIN: 26.41. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUApple M114K28K42K56K70KSE +/- 3.84, N = 366775.0MIN: 667581. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUApple M17K14K21K28K35KSE +/- 7.00, N = 333968.9MIN: 339551. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUApple M11224364860SE +/- 0.02, N = 351.44MIN: 51.161. (CXX) g++ options: -O3 -std=c++11 -msse4.1 -fPIC -isysroot

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchApple M1306090120150SE +/- 0.24, N = 3117.091. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAApple M1816243240SE +/- 0.50, N = 336.241. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileApple M1306090120150SE +/- 0.04, N = 3113.90

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileApple M150100150200250SE +/- 1.48, N = 3247.62

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileApple M11224364860SE +/- 0.03, N = 352.04

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APEApple M148121620SE +/- 0.04, N = 516.381. (CXX) g++ options: -O3 -pedantic -isysroot

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Apple M120406080100SE +/- 0.19, N = 374.611. (CC) gcc options: -O2 -lz

WavPack Audio Encoding

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackApple M1612182430SE +/- 0.06, N = 525.501. (CXX) g++ options: -isysroot

Apple M1

Processor: VirtualApple @ 2.40GHz (8 Cores), Motherboard: Apple Mac mini, Memory: 8GB, Disk: 229GB, Graphics: Apple M1, Monitor: DELL P2415Q

OS: macOS 11.0.1, Kernel: 20.1.0 (x86_64), OpenCL: OpenCL 1.2 (Oct 29 2020 19:50:08), Compiler: GCC 12.0.0 + Clang 12.0.0 + Xcode 12.2, File-System: APFS, Screen Resolution: 3840x2160

Environment Notes: XPC_FLAGS=0x0
Python Notes: Python 2.7.16 + Python 3.9.0

Testing initiated at 20 December 2020 14:49 by user michaellarabel.