E3-1280 v5 16 Jan Intel Xeon E3-1280 v5 testing with a MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) and ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 5: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 202.29 |=================================================================== 2 . 201.81 |=================================================================== 3 . 202.08 |=================================================================== 4 . 202.23 |=================================================================== 5 . 202.34 |=================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 2398.73 |================================================================= 2 . 2409.70 |================================================================== 3 . 2421.37 |================================================================== 4 . 2385.94 |================================================================= 5 . 2393.20 |================================================================= LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 2.869 |=================================================================== 2 . 2.852 |=================================================================== 3 . 2.888 |==================================================================== 4 . 2.899 |==================================================================== 5 . 2.884 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1175.52 |================================================================== 2 . 1177.01 |================================================================== 3 . 1171.03 |================================================================== 4 . 1174.69 |================================================================== 5 . 1175.29 |================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.371 |=================================================================== 2 . 0.373 |==================================================================== 3 . 0.374 |==================================================================== 4 . 0.373 |==================================================================== 5 . 0.374 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.028 |==================================================================== 2 . 1.029 |==================================================================== 3 . 1.020 |=================================================================== 4 . 1.028 |==================================================================== 5 . 1.030 |==================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.337 |==================================================================== 2 . 1.333 |==================================================================== 3 . 1.330 |==================================================================== 4 . 1.327 |=================================================================== 5 . 1.330 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 2.695 |================================================================== 2 . 2.770 |==================================================================== 3 . 2.770 |==================================================================== 4 . 2.745 |=================================================================== 5 . 2.751 |==================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 317.91 |=================================================================== 2 . 317.67 |=================================================================== 3 . 317.61 |=================================================================== 4 . 317.71 |=================================================================== 5 . 318.11 |=================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 602.88 |=================================================================== 2 . 603.90 |=================================================================== 3 . 605.69 |=================================================================== 4 . 606.56 |=================================================================== 5 . 604.67 |=================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.063 |==================================================================== 2 . 7.079 |==================================================================== 3 . 7.063 |==================================================================== 4 . 7.038 |==================================================================== 5 . 7.051 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 48.16 |==================================================================== 2 . 48.17 |==================================================================== 3 . 48.31 |==================================================================== 4 . 48.09 |==================================================================== 5 . 48.20 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.035 |==================================================================== 2 . 4.028 |==================================================================== 3 . 4.029 |==================================================================== 4 . 4.045 |==================================================================== 5 . 4.025 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.561 |==================================================================== 2 . 4.539 |==================================================================== 3 . 4.542 |==================================================================== 4 . 4.554 |==================================================================== 5 . 4.544 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 56.19 |==================================================================== 2 . 55.95 |==================================================================== 3 . 56.20 |==================================================================== 4 . 55.39 |=================================================================== 5 . 55.97 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 364.52 |=================================================================== 2 . 363.17 |=================================================================== 3 . 363.54 |=================================================================== 4 . 363.14 |=================================================================== 5 . 363.24 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 342.87 |=================================================================== 2 . 342.09 |=================================================================== 3 . 342.89 |=================================================================== 4 . 342.71 |=================================================================== 5 . 341.85 |===================================================================