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


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


Compile Bench 0.6
Test: Compile
MB/s > Higher Is Better
Apple M1 . 622.23 |============================================================


Compile Bench 0.6
Test: Initial Create
MB/s > Higher Is Better
Apple M1 . 156.97 |============================================================


Compile Bench 0.6
Test: Read Compiled Tree
MB/s > Higher Is Better
Apple M1 . 875.25 |============================================================


Monkey Audio Encoding 3.99.6
WAV To APE
Seconds < Lower Is Better
Apple M1 . 16.38 |=============================================================


WavPack Audio Encoding 5.3
WAV To WavPack
Seconds < Lower Is Better
Apple M1 . 25.50 |=============================================================


Timed HMMer Search 3.3.1
Pfam Database Search
Seconds < Lower Is Better
Apple M1 . 117.09 |============================================================


Timed MAFFT Alignment 7.471
Multiple Sequence Alignment - LSU RNA
Seconds < Lower Is Better
Apple M1 . 36.24 |=============================================================


oneDNN 2.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 61.53 |=============================================================


oneDNN 2.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 32.21 |=============================================================


oneDNN 2.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 92.98 |=============================================================


oneDNN 2.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 14.16 |=============================================================


oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 79.85 |=============================================================


oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 132.40 |============================================================


oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 134.81 |============================================================


oneDNN 2.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 188.01 |============================================================


oneDNN 2.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 150.11 |============================================================


oneDNN 2.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 187.90 |============================================================


oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 66741.7 |===========================================================


oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 33946.2 |===========================================================


oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 66744.4 |===========================================================


oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 33991.7 |===========================================================


oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 26.65 |=============================================================


oneDNN 2.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Apple M1 . 66775.0 |===========================================================


oneDNN 2.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
Apple M1 . 33968.9 |===========================================================


oneDNN 2.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
Apple M1 . 51.44 |=============================================================


Timed FFmpeg Compilation 4.2.2
Time To Compile
Seconds < Lower Is Better
Apple M1 . 113.90 |============================================================


Build2 0.13
Time To Compile
Seconds < Lower Is Better
Apple M1 . 247.62 |============================================================


Timed Eigen Compilation 3.3.9
Time To Compile
Seconds < Lower Is Better
Apple M1 . 52.04 |=============================================================


PHPBench 0.8.1
PHP Benchmark Suite
Score > Higher Is Better
Apple M1 . 431919 |============================================================


SQLite Speedtest 3.30
Timed Time - Size 1,000
Seconds < Lower Is Better
Apple M1 . 74.61 |=============================================================


Node.js V8 Web Tooling Benchmark

runs/s > Higher Is Better
Apple M1 . 12.32 |=============================================================


simdjson 0.7.1
Throughput Test: Kostya
GB/s > Higher Is Better
Apple M1 . 0.53 |==============================================================


simdjson 0.7.1
Throughput Test: LargeRandom
GB/s > Higher Is Better
Apple M1 . 0.36 |==============================================================


simdjson 0.7.1
Throughput Test: PartialTweets
GB/s > Higher Is Better
Apple M1 . 0.58 |==============================================================


simdjson 0.7.1
Throughput Test: DistinctUserID
GB/s > Higher Is Better
Apple M1 . 0.58 |==============================================================