7600k dev Intel Core i5-7600K testing with a Gigabyte Z270M-D3H-CF (F8d BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i5-7600K @ 4.20GHz (4 Cores), Motherboard: Gigabyte Z270M-D3H-CF (F8d BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 630 3GB (1150MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i5-7600K @ 4.20GHz (4 Cores), Motherboard: Gigabyte Z270M-D3H-CF (F8d BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 630 3GB (1150MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i5-7600K @ 4.20GHz (4 Cores), Motherboard: Gigabyte Z270M-D3H-CF (F8d BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 8GB, Disk: 250GB Samsung SSD 850, Graphics: Gigabyte Intel HD 630 3GB (1150MHz), Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest Seconds < Lower Is Better 1 . 11.26 |==================================================================== 2 . 10.93 |================================================================== 3 . 10.54 |================================================================ Betsy GPU Compressor 1.1 Beta Codec: ETC2 RGB - Quality: Highest Seconds < Lower Is Better 1 . 6.846 |==================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.26 |==================================================================== 2 . 10.04 |=================================================================== 3 . 10.09 |=================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 19.33 |==================================================================== 2 . 17.95 |=============================================================== 3 . 18.00 |=============================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 5.16668 |================================================================== 2 . 5.16932 |================================================================== 3 . 5.16474 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4.49482 |================================================================== 2 . 4.44040 |================================================================= 3 . 4.43113 |================================================================= oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 39.49 |==================================================================== 2 . 39.53 |==================================================================== 3 . 39.49 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.84 |==================================================================== 2 . 10.86 |==================================================================== 3 . 10.82 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 14.43 |==================================================================== 2 . 14.46 |==================================================================== 3 . 14.47 |==================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 38.08 |==================================================================== 2 . 38.13 |==================================================================== 3 . 38.17 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 13.07 |==================================================================== 2 . 13.11 |==================================================================== 3 . 13.10 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 11.68 |==================================================================== 2 . 11.59 |=================================================================== 3 . 11.58 |=================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7744.54 |================================================================== 2 . 7741.08 |================================================================== 3 . 7744.31 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4909.21 |================================================================== 2 . 4882.13 |================================================================== 3 . 4879.80 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7717.23 |================================================================== 2 . 7718.79 |================================================================== 3 . 7739.44 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4907.75 |================================================================== 2 . 4874.18 |================================================================== 3 . 4899.04 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8.97996 |================================================================== 2 . 8.97632 |================================================================== 3 . 8.97990 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 7719.41 |================================================================== 2 . 7720.58 |================================================================== 3 . 7757.69 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4895.57 |================================================================== 2 . 4871.47 |================================================================== 3 . 4880.31 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7.02760 |================================================================== 2 . 7.00460 |================================================================== 3 . 7.03497 |================================================================== Timed Clash Compilation Time To Compile Seconds < Lower Is Better 1 . 264.45 |=================================================================== 2 . 263.20 |=================================================================== 3 . 263.25 |=================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 704259 |=================================================================== 2 . 704148 |=================================================================== 3 . 704427 |===================================================================