Xeon E3 1270 v5 Xmas Intel Xeon E3-1270 v5 testing with a ASUS E3 PRO GAMING V5 (2606 BIOS) and ASUS NVIDIA NV84 256MB on Clear Linux OS 31470 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1270 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: ASUS E3 PRO GAMING V5 (2606 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 256GB Samsung SSD 850, Graphics: ASUS NVIDIA NV84 256MB, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-LM OS: Clear Linux OS 31470, Kernel: 5.3.8-854.native (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: nouveau 1.0.16, OpenGL: 3.3 Mesa 19.3.0-devel, Compiler: GCC 9.2.1 20191101 gcc-9-branch@277702 + Clang 9.0.0 + LLVM 9.0.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E3-1270 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: ASUS E3 PRO GAMING V5 (2606 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 256GB Samsung SSD 850, Graphics: ASUS NVIDIA NV84 256MB, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-LM OS: Clear Linux OS 31470, Kernel: 5.3.8-854.native (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: nouveau 1.0.16, OpenGL: 3.3 Mesa 19.3.0-devel, Compiler: GCC 9.2.1 20191101 gcc-9-branch@277702 + Clang 9.0.0 + LLVM 9.0.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E3-1270 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: ASUS E3 PRO GAMING V5 (2606 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 8GB, Disk: 256GB Samsung SSD 850, Graphics: ASUS NVIDIA NV84 256MB, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-LM OS: Clear Linux OS 31470, Kernel: 5.3.8-854.native (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: nouveau 1.0.16, OpenGL: 3.3 Mesa 19.3.0-devel, Compiler: GCC 9.2.1 20191101 gcc-9-branch@277702 + Clang 9.0.0 + LLVM 9.0.0, File-System: ext4, Screen Resolution: 1920x1080 Compile Bench 0.6 Test: Compile MB/s > Higher Is Better 1 . 1046.88 |================================================================== 2 . 1045.42 |================================================================== 3 . 1015.72 |================================================================ Compile Bench 0.6 Test: Initial Create MB/s > Higher Is Better 1 . 491.40 |=================================================================== 2 . 462.79 |=============================================================== 3 . 473.49 |================================================================= Compile Bench 0.6 Test: Read Compiled Tree MB/s > Higher Is Better 1 . 1293.47 |================================================================== 2 . 1298.04 |================================================================== 3 . 993.62 |=================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 1.5 |====================================================================== 2 . 1.5 |====================================================================== 3 . 1.5 |====================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 115.98 |=================================================================== 2 . 116.00 |=================================================================== 3 . 116.04 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 3.057 |==================================================================== 2 . 3.063 |==================================================================== 3 . 3.069 |==================================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 . 2.29 |===================================================================== 2 . 2.29 |===================================================================== 3 . 2.28 |===================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.86 |===================================================================== 2 . 0.85 |==================================================================== 3 . 0.85 |==================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 2.93 |===================================================================== 2 . 2.94 |===================================================================== 3 . 2.94 |===================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 3.03 |===================================================================== 2 . 3.03 |===================================================================== 3 . 3.02 |===================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 7759.31 |================================================================== 2 . 7707.37 |================================================================== 3 . 7687.13 |================================================================= LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 8068.8 |=================================================================== 2 . 8115.1 |=================================================================== 3 . 8101.9 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 48.15 |==================================================================== 2 . 48.10 |==================================================================== 3 . 48.19 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 8035.3 |=================================================================== 2 . 8025.9 |=================================================================== 3 . 8013.1 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 46.87 |=================================================================== 2 . 47.35 |==================================================================== 3 . 47.11 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 8044.5 |=================================================================== 2 . 8040.0 |=================================================================== 3 . 8014.8 |=================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7.49115 |================================================================== 2 . 7.48582 |================================================================== 3 . 7.48015 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.63 |==================================================================== 2 . 10.63 |==================================================================== 3 . 10.63 |==================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.43699 |================================================================== 2 . 3.44124 |================================================================== 3 . 3.43810 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.68414 |================================================================== 2 . 2.69140 |================================================================== 3 . 2.69290 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 22.02 |==================================================================== 2 . 22.00 |==================================================================== 3 . 22.02 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 10.26 |==================================================================== 2 . 10.26 |==================================================================== 3 . 10.19 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 13.36 |==================================================================== 2 . 13.37 |==================================================================== 3 . 13.37 |==================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 20.87 |==================================================================== 2 . 20.84 |==================================================================== 3 . 20.83 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 10.13229 |================================================================= 2 . 9.90766 |================================================================ 3 . 9.99729 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7.17144 |================================================================== 2 . 7.16483 |================================================================== 3 . 7.16964 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6890.24 |================================================================== 2 . 6864.53 |================================================================== 3 . 6877.21 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3674.98 |================================================================== 2 . 3682.67 |================================================================== 3 . 3671.72 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 6906.91 |================================================================== 2 . 6895.93 |================================================================== 3 . 6886.74 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3671.16 |================================================================== 2 . 3660.60 |================================================================== 3 . 3665.02 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 5.69692 |================================================================== 2 . 5.68880 |================================================================== 3 . 5.70303 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 6901.21 |================================================================== 2 . 6913.78 |================================================================== 3 . 6903.02 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3684.40 |================================================================== 2 . 3678.69 |================================================================== 3 . 3683.50 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 5.71226 |================================================================== 2 . 5.70694 |================================================================== 3 . 5.70738 |================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better 1 . 2.44 |===================================================================== 2 . 2.45 |===================================================================== 3 . 2.44 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 2.49 |===================================================================== 2 . 2.49 |===================================================================== 3 . 2.49 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better 1 . 10.61 |==================================================================== 2 . 10.61 |==================================================================== 3 . 10.61 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 10.89 |==================================================================== 2 . 10.91 |==================================================================== 3 . 10.91 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 6.95 |===================================================================== 2 . 6.95 |===================================================================== 3 . 6.95 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 12.76 |==================================================================== 2 . 12.74 |==================================================================== 3 . 12.73 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 28.24 |==================================================================== 2 . 28.32 |==================================================================== 3 . 28.31 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 51.75 |==================================================================== 2 . 51.81 |==================================================================== 3 . 51.84 |==================================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 . 0.366 |==================================================================== 2 . 0.366 |==================================================================== 3 . 0.366 |==================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 1.047 |==================================================================== 2 . 1.048 |==================================================================== 3 . 1.046 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 1.394 |==================================================================== 2 . 1.386 |==================================================================== 3 . 1.389 |==================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 3.005 |==================================================================== 2 . 3.017 |==================================================================== 3 . 3.006 |==================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 7.35 |===================================================================== 2 . 7.39 |===================================================================== 3 . 7.33 |==================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 33.93 |==================================================================== 2 . 33.62 |=================================================================== 3 . 33.77 |==================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 162404.27 |============================================================== 2 . 166523.87 |================================================================ 3 . 164904.36 |=============================================================== Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 8391618 |================================================================== 2 . 8447193 |================================================================== 3 . 8425354 |================================================================== asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 12809865 |================================================================= 2 . 12702982 |================================================================ 3 . 12531518 |================================================================ Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 110.57 |=================================================================== 2 . 110.56 |=================================================================== 3 . 110.55 |=================================================================== Numpy Benchmark Score > Higher Is Better 1 . 353.67 |=================================================================== 2 . 351.80 |=================================================================== 3 . 352.84 |=================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 73.60 |==================================================================== 2 . 73.52 |==================================================================== 3 . 73.49 |==================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 12.41 |==================================================================== 2 . 12.43 |==================================================================== 3 . 12.50 |==================================================================== Ogg Audio Encoding 1.3.4 WAV To Ogg Seconds < Lower Is Better 1 . 20.40 |==================================================================== 2 . 20.42 |==================================================================== 3 . 20.40 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 8.990 |==================================================================== 2 . 8.994 |==================================================================== 3 . 8.986 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 30.49 |==================================================================== 2 . 30.01 |=================================================================== 3 . 30.17 |=================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 11.37 |==================================================================== 2 . 11.36 |==================================================================== 3 . 11.36 |==================================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.523 |==================================================================== 2 . 0.526 |==================================================================== 3 . 0.524 |==================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 7.85 |===================================================================== 2 . 7.85 |===================================================================== 3 . 7.85 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 10.20 |==================================================================== 2 . 10.20 |==================================================================== 3 . 10.20 |==================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 66.84 |==================================================================== 2 . 66.82 |==================================================================== 3 . 66.80 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 541.15 |=================================================================== 2 . 539.89 |=================================================================== 3 . 539.49 |=================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 72.27 |==================================================================== 2 . 72.36 |==================================================================== 3 . 72.36 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 9.616 |==================================================================== 2 . 9.590 |==================================================================== 3 . 9.587 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 68.92 |==================================================================== 2 . 68.94 |==================================================================== 3 . 68.93 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 135.59 |=================================================================== 2 . 135.62 |=================================================================== 3 . 135.63 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better 1 . 795.73 |=================================================================== 2 . 795.49 |=================================================================== 3 . 796.13 |=================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 67.41 |==================================================================== 2 . 66.75 |=================================================================== 3 . 67.53 |==================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 2550048.17 |=============================================================== 2 . 1596414.46 |======================================= 3 . 1587957.58 |======================================= Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 1987429.71 |=============================================================== 2 . 1965680.87 |============================================================== 3 . 1971803.87 |=============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 1555951.75 |=============================================================== 2 . 1553337.42 |=============================================================== 3 . 1562717.17 |=============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 2316062.03 |=============================================================== 2 . 2257650.58 |============================================================= 3 . 2236387.87 |============================================================= Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 1775770.47 |=============================================================== 2 . 1734581.08 |============================================================== 3 . 1771304.37 |=============================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 27.94 |==================================================================== 2 . 27.89 |==================================================================== 3 . 27.94 |==================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 7.71 |===================================================================== 2 . 7.70 |===================================================================== 3 . 7.71 |===================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.13 |===================================================================== 2 . 6.15 |===================================================================== 3 . 6.13 |===================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 8.23 |===================================================================== 2 . 8.24 |===================================================================== 3 . 8.24 |===================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 6.26 |===================================================================== 2 . 6.25 |===================================================================== 3 . 6.26 |===================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 10.35 |==================================================================== 2 . 10.34 |==================================================================== 3 . 10.30 |==================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.36 |===================================================================== 2 . 2.35 |===================================================================== 3 . 2.35 |===================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 19.49 |==================================================================== 2 . 19.46 |==================================================================== 3 . 19.41 |==================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 88.66 |==================================================================== 2 . 88.15 |==================================================================== 3 . 88.33 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 20.10 |==================================================================== 2 . 20.09 |==================================================================== 3 . 20.04 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 17.46 |==================================================================== 2 . 17.43 |==================================================================== 3 . 17.45 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 44.53 |==================================================================== 2 . 44.43 |==================================================================== 3 . 44.44 |==================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 36.75 |==================================================================== 2 . 36.67 |==================================================================== 3 . 36.59 |==================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 28.72 |==================================================================== 2 . 28.68 |==================================================================== 3 . 28.72 |==================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 16.05 |==================================================================== 2 . 16.04 |==================================================================== 3 . 16.05 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 0.787 |==================================================================== 2 . 0.790 |==================================================================== 3 . 0.790 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 1.806 |==================================================================== 2 . 1.816 |==================================================================== 3 . 1.817 |==================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 15.19 |==================================================================== 2 . 15.17 |==================================================================== 3 . 15.16 |====================================================================