Core i9 7960X 2021 Intel Core i9-7960X testing with a MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS) and Gigabyte AMD Radeon R7 370 R9 270X/370X 2GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads), Motherboard: MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 256GB INTEL SSDPEKKW256G8, Graphics: Gigabyte AMD Radeon R7 370 R9 270X/370X 2GB, Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V + Intel I211 OS: Ubuntu 20.04, Kernel: 5.4.0-58-generic (x86_64), Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads), Motherboard: MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 256GB INTEL SSDPEKKW256G8, Graphics: Gigabyte AMD Radeon R7 370 R9 270X/370X 2GB, Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V + Intel I211 OS: Ubuntu 20.04, Kernel: 5.4.0-58-generic (x86_64), Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads), Motherboard: MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 256GB INTEL SSDPEKKW256G8, Graphics: Gigabyte AMD Radeon R7 370 R9 270X/370X 2GB, Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V + Intel I211 OS: Ubuntu 20.04, Kernel: 5.4.0-58-generic (x86_64), Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: Intel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads), Motherboard: MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 16GB, Disk: 256GB INTEL SSDPEKKW256G8, Graphics: Gigabyte AMD Radeon R7 370 R9 270X/370X 2GB, Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V + Intel I211 OS: Ubuntu 20.04, Kernel: 5.4.0-58-generic (x86_64), Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1257.88 |================================================================= 2 . 1278.27 |================================================================== 3 . 1260.81 |================================================================= 4 . 1259.58 |================================================================= CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 23.2 |===================================================================== 2 . 23.2 |===================================================================== 3 . 23.2 |===================================================================== 4 . 23.2 |===================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 451046600 |=============================================================== 2 . 454801300 |================================================================ 3 . 455200400 |================================================================ 4 . 455774200 |================================================================ OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 100.83 |=================================================================== 2 . 100.73 |=================================================================== 3 . 100.74 |=================================================================== 4 . 100.57 |=================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 656.35 |=================================================================== 2 . 653.80 |=================================================================== 3 . 653.57 |=================================================================== 4 . 654.47 |=================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 1812.29 |================================================================ 2 . 1833.34 |================================================================= 3 . 1828.94 |================================================================= 4 . 1856.05 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 10.76 |==================================================================== 2 . 10.76 |==================================================================== 3 . 10.77 |==================================================================== 4 . 10.74 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 450.55 |================================================================== 2 . 454.35 |=================================================================== 3 . 454.44 |=================================================================== 4 . 454.05 |=================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.14939 |================================================================== 2 . 2.15213 |================================================================== 3 . 2.15001 |================================================================== 4 . 2.15120 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.14079 |================================================================= 2 . 4.16477 |================================================================= 3 . 4.21074 |================================================================== 4 . 4.17684 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.762049 |================================================================= 2 . 0.763675 |================================================================= 3 . 0.762372 |================================================================= 4 . 0.763387 |================================================================= oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.07587 |================================================================== 2 . 1.08143 |================================================================== 3 . 1.08145 |================================================================== 4 . 1.08081 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4.74363 |================================================================== 2 . 4.74629 |================================================================== 3 . 4.74742 |================================================================== 4 . 4.74848 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2.34004 |================================================================== 2 . 2.33914 |================================================================= 3 . 2.35709 |================================================================== 4 . 2.35504 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 9.31601 |================================================================== 2 . 9.33021 |================================================================== 3 . 9.34375 |================================================================== 4 . 9.33002 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.31268 |================================================================== 2 . 2.32967 |================================================================== 3 . 2.30843 |================================================================= 4 . 2.31694 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.68731 |================================================================= 2 . 2.69347 |================================================================= 3 . 2.72724 |================================================================== 4 . 2.68022 |================================================================= oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 8.84027 |================================================================== 2 . 8.85607 |================================================================== 3 . 8.85744 |================================================================== 4 . 8.83959 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.02346 |================================================================== 2 . 1.02380 |================================================================== 3 . 1.02339 |================================================================== 4 . 1.02349 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.61596 |================================================================== 2 . 1.61541 |================================================================== 3 . 1.62464 |================================================================== 4 . 1.60273 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1428.49 |================================================================= 2 . 1433.27 |================================================================== 3 . 1443.10 |================================================================== 4 . 1429.61 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 831.02 |================================================================== 2 . 837.28 |=================================================================== 3 . 837.39 |=================================================================== 4 . 822.73 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1436.77 |============================================================ 2 . 1426.35 |============================================================ 3 . 1440.06 |============================================================ 4 . 1576.25 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 8.67790 |================================================================== 2 . 8.68640 |================================================================== 3 . 8.67758 |================================================================== 4 . 8.67773 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 10.50 |==================================================================== 2 . 10.50 |==================================================================== 3 . 10.51 |==================================================================== 4 . 10.51 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 11.80 |==================================================================== 2 . 11.80 |==================================================================== 3 . 11.81 |==================================================================== 4 . 11.80 |==================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 836.78 |=================================================================== 2 . 821.69 |================================================================== 3 . 838.85 |=================================================================== 4 . 822.89 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.48423 |================================================================== 2 . 1.48580 |================================================================== 3 . 1.48983 |================================================================== 4 . 1.48589 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 1432.10 |================================================================= 2 . 1434.02 |================================================================= 3 . 1438.52 |================================================================== 4 . 1449.46 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 831.89 |================================================================== 2 . 815.83 |================================================================= 3 . 841.78 |=================================================================== 4 . 819.98 |================================================================= oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.537078 |================================================================ 2 . 0.539013 |================================================================= 3 . 0.542373 |================================================================= 4 . 0.536757 |================================================================ oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 1.91750 |================================================================== 2 . 1.91998 |================================================================== 3 . 1.91412 |================================================================== 4 . 1.92441 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 775.54 |=================================================================== 2 . 774.42 |=================================================================== 3 . 774.33 |=================================================================== 4 . 773.57 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 234.16 |=================================================================== 2 . 233.77 |=================================================================== 3 . 233.81 |=================================================================== 4 . 234.04 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 664.26 |=================================================================== 2 . 660.72 |=================================================================== 3 . 661.89 |=================================================================== 4 . 652.08 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 115.80 |=================================================================== 2 . 115.62 |=================================================================== 3 . 115.80 |=================================================================== 4 . 115.74 |=================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 74.89 |==================================================================== 2 . 74.73 |==================================================================== 3 . 74.89 |==================================================================== 4 . 74.85 |==================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 11.20 |==================================================================== 2 . 11.20 |==================================================================== 3 . 11.20 |==================================================================== 4 . 11.25 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 10.42 |==================================================================== 2 . 10.41 |==================================================================== 3 . 10.42 |==================================================================== 4 . 10.43 |==================================================================== Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better 1 . 1796533 |================================================================== 2 . 1798586 |================================================================== 3 . 1798586 |================================================================== 4 . 1796533 |================================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better 1 . 764640 |=================================================================== 2 . 765011 |=================================================================== 3 . 765011 |=================================================================== 4 . 764640 |=================================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better 1 . 2340.6 |================================================================== 2 . 2368.7 |=================================================================== 3 . 2366.7 |=================================================================== 4 . 2368.0 |=================================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better 1 . 2350.4 |=================================================================== 2 . 2364.8 |=================================================================== 3 . 2364.9 |=================================================================== 4 . 2357.2 |=================================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better 1 . 780.9 |=================================================================== 2 . 789.4 |==================================================================== 3 . 789.1 |==================================================================== 4 . 786.9 |==================================================================== Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better 1 . 808.7 |==================================================================== 2 . 806.0 |==================================================================== 3 . 809.0 |==================================================================== 4 . 809.5 |==================================================================== Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better 1 . 438.2 |==================================================================== 2 . 440.8 |==================================================================== 3 . 441.1 |==================================================================== 4 . 440.2 |==================================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better 1 . 443.3 |==================================================================== 2 . 443.1 |==================================================================== 3 . 437.1 |=================================================================== 4 . 443.1 |==================================================================== Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better 1 . 2168.0 |=================================================================== 2 . 2175.6 |=================================================================== 3 . 2174.6 |=================================================================== 4 . 2176.5 |=================================================================== Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better 1 . 2176.0 |=================================================================== 2 . 2189.4 |=================================================================== 3 . 2182.8 |=================================================================== 4 . 2189.9 |=================================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better 1 . 786.8 |==================================================================== 2 . 788.5 |==================================================================== 3 . 789.4 |==================================================================== 4 . 788.3 |==================================================================== Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better 1 . 808.8 |==================================================================== 2 . 809.0 |==================================================================== 3 . 805.4 |==================================================================== 4 . 806.6 |==================================================================== Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better 1 . 440.2 |==================================================================== 2 . 440.8 |==================================================================== 3 . 440.5 |==================================================================== 4 . 440.6 |==================================================================== Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better 1 . 442.6 |==================================================================== 2 . 443.4 |==================================================================== 3 . 442.9 |==================================================================== 4 . 443.6 |==================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.725 |=================================================================== 2 . 7.870 |==================================================================== 3 . 7.783 |=================================================================== 4 . 7.819 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 40.55 |==================================================================== 2 . 40.80 |==================================================================== 3 . 40.47 |=================================================================== 4 . 40.50 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.531 |=================================================================== 2 . 4.611 |==================================================================== 3 . 4.519 |=================================================================== 4 . 4.582 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 2.753 |==================================================================== 2 . 2.712 |=================================================================== 3 . 2.717 |=================================================================== 4 . 2.727 |=================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 51.72 |=================================================================== 2 . 52.55 |==================================================================== 3 . 51.54 |=================================================================== 4 . 52.12 |=================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 14.79 |==================================================================== 2 . 14.79 |==================================================================== 3 . 14.79 |==================================================================== 4 . 14.79 |==================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better 1 . 19.72 |==================================================================== 2 . 19.77 |==================================================================== 4 . 19.69 |==================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 64854833 |================================================================= 2 . 64827057 |================================================================= 4 . 64370483 |=================================================================