Xeon Platinum 8280 2P EOY 2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS: Ubuntu 20.04, Kernel: 5.4.0-18-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 3.3 Mesa 20.0.2 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS: Ubuntu 20.04, Kernel: 5.4.0-18-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 3.3 Mesa 20.0.2 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: 2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads), Motherboard: GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 378GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS: Ubuntu 20.04, Kernel: 5.4.0-18-generic (x86_64), Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 3.3 Mesa 20.0.2 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.35021 |================================================================= 2 . 1.36079 |================================================================== 3 . 1.36411 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.21806 |================================================================== 2 . 3.12170 |================================================================ 3 . 3.12760 |================================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.44762 |================================================================== 2 . 1.42314 |================================================================= 3 . 1.42534 |================================================================= oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.08803 |================================================================== 2 . 1.09268 |================================================================== 3 . 1.08252 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3.66921 |================================================================== 2 . 3.66258 |================================================================== 3 . 3.66979 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 9.26663 |================================================================== 2 . 2.50111 |================== 3 . 2.54079 |================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.93713 |================================================================== 2 . 3.94047 |================================================================== 3 . 3.93649 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.46948 |================================================================== 2 . 1.43581 |================================================================ 3 . 1.44924 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.21611 |================================================================== 2 . 1.21178 |================================================================== 3 . 1.21188 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.71296 |================================================================== 2 . 3.69371 |================================================================== 3 . 3.69725 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.427050 |================================================================= 2 . 0.426136 |================================================================= 3 . 0.428711 |================================================================= oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.353281 |================================================================= 2 . 0.348490 |================================================================ 3 . 0.352476 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 999.69 |=================================================================== 2 . 990.20 |================================================================== 3 . 985.39 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 561.23 |=================================================================== 2 . 563.21 |=================================================================== 3 . 563.79 |=================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 990.28 |=================================================================== 2 . 981.39 |================================================================== 3 . 989.19 |=================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3.19164 |================================================================== 2 . 3.19709 |================================================================== 3 . 3.20837 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4.37983 |================================================================== 2 . 4.38927 |================================================================== 3 . 4.38088 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4.46931 |================================================================== 2 . 4.44543 |================================================================== 3 . 4.44128 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 559.52 |================================================================== 2 . 566.15 |=================================================================== 3 . 569.10 |=================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 0.340963 |================================================================= 2 . 0.331019 |=============================================================== 3 . 0.332505 |=============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 985.15 |================================================================= 2 . 1001.73 |================================================================== 3 . 987.13 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 571.47 |=================================================================== 2 . 572.12 |=================================================================== 3 . 563.41 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.268342 |================================================================ 2 . 0.271561 |================================================================= 3 . 0.270761 |================================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 0.819691 |================================================================= 2 . 0.821168 |================================================================= 3 . 0.819624 |================================================================= Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 12.67 |==================================================================== 2 . 12.70 |==================================================================== 3 . 12.68 |==================================================================== Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better 1 . 1619839 |================================================================== 2 . 1612408 |================================================================== 3 . 1619839 |================================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better 1 . 687741 |=================================================================== 2 . 687440 |=================================================================== 3 . 688042 |=================================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better 1 . 3268.7 |=================================================================== 2 . 3224.4 |================================================================== 3 . 3239.9 |================================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better 1 . 3290.5 |=================================================================== 2 . 3226.9 |================================================================== 3 . 3234.2 |================================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better 1 . 746.7 |=================================================================== 2 . 757.0 |==================================================================== 3 . 758.0 |==================================================================== Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better 1 . 741.8 |==================================================================== 2 . 741.9 |==================================================================== 3 . 743.9 |==================================================================== Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better 1 . 409.2 |==================================================================== 2 . 412.0 |==================================================================== 3 . 412.0 |==================================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better 1 . 414.2 |==================================================================== 2 . 414.8 |==================================================================== 3 . 414.3 |==================================================================== Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better 1 . 2762.0 |=================================================================== 2 . 2738.7 |================================================================== 3 . 2751.7 |=================================================================== Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better 1 . 2768.3 |=================================================================== 2 . 2749.1 |=================================================================== 3 . 2756.8 |=================================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better 1 . 755.3 |==================================================================== 2 . 757.0 |==================================================================== 3 . 757.5 |==================================================================== Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better 1 . 741.9 |==================================================================== 2 . 741.3 |==================================================================== 3 . 742.9 |==================================================================== Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better 1 . 411.7 |==================================================================== 2 . 411.7 |==================================================================== 3 . 412.1 |==================================================================== Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better 1 . 414.5 |==================================================================== 2 . 414.5 |==================================================================== 3 . 414.9 |==================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 16.34 |==================================================================== 2 . 16.33 |==================================================================== 3 . 16.36 |==================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better 1 . 21.97 |==================================================================== 2 . 21.99 |==================================================================== 3 . 21.90 |====================================================================