Ryzen 9 5950X oneDNN 2.0

AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS) and AMD SIENNA_CICHLID 16GB on Ubuntu 20.04 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 2012095-HA-RYZEN959559
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Ryzen 9 5950X
December 09 2020
  32 Minutes
5950X
December 09 2020
  47 Minutes
AMD Ryzen 9 5950X
December 09 2020
  31 Minutes
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Ryzen 9 5950X oneDNN 2.0 AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS) and AMD SIENNA_CICHLID 16GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"Ryzen 9 5950X","5950X","AMD Ryzen 9 5950X" Processor,,AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads),AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads),AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) Motherboard,,ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS),ASUS ROG CROSSHAIR VIII HERO (WI-FI) (3003 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,16GB,16GB,16GB Disk,,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB,2000GB Corsair Force MP600 + 2000GB Graphics,,AMD SIENNA_CICHLID 16GB (2475/1000MHz),AMD SIENNA_CICHLID 16GB (2475/1000MHz),AMD SIENNA_CICHLID 16GB (2475/1000MHz) Audio,,AMD Device ab28,AMD Device ab28,AMD Device ab28 Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U Network,,Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200,Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200,Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.10.0-051000rc6daily20201205-generic (x86_64) 20201204,5.10.0-051000rc6daily20201205-generic (x86_64) 20201204,5.10.0-051000rc6daily20201205-generic (x86_64) 20201204 Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8 OpenGL,,4.6 Mesa 21.0.0-devel (git-ab0d6c9 2020-12-08 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 21.0.0-devel (git-ab0d6c9 2020-12-08 focal-oibaf-ppa) (LLVM 11.0.0),4.6 Mesa 21.0.0-devel (git-ab0d6c9 2020-12-08 focal-oibaf-ppa) (LLVM 11.0.0) Vulkan,,1.2.145,1.2.145,1.2.145 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,2560x1440,2560x1440,2560x1440 ,,"Ryzen 9 5950X","5950X","AMD Ryzen 9 5950X" "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.88635,4.94604,3.99001 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,10.7981,10.6396,9.07806 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.923413,0.921791,0.819649 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.590576,0.590725,0.466624 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.2358,17.3880,15.2630 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.76049,2.74784,2.47316 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,3.73727,3.76784,3.56623 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,19.5530,19.1957,17.5362 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.25019,3.24561,2.87312 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.71043,1.70081,1.52908 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3452.89,2837.83,2738.61 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2278.07,1783.44,1792.81 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3470.03,2719.30,2722.05 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2311.85,1792.44,1789.88 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.749824,0.633434,0.639379 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3430.66,2725.67,2722.51 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2301.02,1796.69,1794.41 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.39888,1.25288,1.25478