Core i7 4790K Haswell Intel Linux Intel Core i7-4790K testing with a Gigabyte Z97-HD3P (F4 BIOS) and Gigabyte Intel Haswell Desktop 2GB on Ubuntu 19.10 via the Phoronix Test Suite. ,,"Linux 5.5","Linux 5.8","Linux 5.9" Processor,,Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads),Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads),Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads) Motherboard,,Gigabyte Z97-HD3P (F4 BIOS),Gigabyte Z97-HD3P (F4 BIOS),Gigabyte Z97-HD3P (F4 BIOS) Chipset,,Intel 4th Gen Core DRAM,Intel 4th Gen Core DRAM,Intel 4th Gen Core DRAM Memory,,16GB,16GB,16GB Disk,,120GB OCZ TRION100,120GB OCZ TRION100,120GB OCZ TRION100 Graphics,,Gigabyte Intel Haswell Desktop 2GB (1250MHz),Gigabyte Intel Haswell Desktop 2GB (1250MHz),Gigabyte Intel Haswell Desktop 2GB (1250MHz) Audio,,Intel Xeon E3-1200 v3/4th,Intel Xeon E3-1200 v3/4th,Intel Xeon E3-1200 v3/4th Monitor,,LG Ultra HD,LG Ultra HD,LG Ultra HD Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 19.10,Ubuntu 19.10,Ubuntu 19.10 Kernel,,5.5.0-rc2-patched (x86_64) 20200115,5.8.14-050814-generic (x86_64),5.9.0-050900rc8daily20201009-generic (x86_64) 20201008 Desktop,,GNOME Shell 3.34.1,GNOME Shell 3.34.1,GNOME Shell 3.34.1 Display Server,,X Server 1.20.5,X Server 1.20.5,X Server 1.20.5 Display Driver,,modesetting 1.20.5,modesetting 1.20.5,modesetting 1.20.5 OpenGL,,4.5 Mesa 19.2.1,4.5 Mesa 19.2.8,4.5 Mesa 19.2.8 Compiler,,GCC 9.2.1 20191008,GCC 9.2.1 20191008,GCC 9.2.1 20191008 File-System,,ext4,ext4,ext4 Screen Resolution,,3840x2160,3840x2160,3840x2160 Vulkan,,,1.1.102,1.1.102 ,,"Linux 5.5","Linux 5.8","Linux 5.9" "PostMark - Disk Transaction Performance (TPS)",HIB,5906,6000,5906 "GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,290,320,319 "GLmark2 - Resolution: 1920 x 1200 (Score)",HIB,273,297,297 "GLmark2 - Resolution: 2560 x 1440 (Score)",HIB,194,212,213 "GLmark2 - Resolution: 3840 x 2160 (Score)",HIB,90,105,104 "C-Blosc - Compressor: blosclz (MB/s)",HIB,6589.4,6696.8,6694.1 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,3.56741,3.56919,3.56784 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,19.596,19.739,19.872 "Nebular Empirical Analysis Tool - (sec)",LIB,30.850,30.067,30.340 "lzbench - Test: XZ 0 - Process: Compression (MB/s)",HIB,43,43,43 "lzbench - Test: XZ 0 - Process: Decompression (MB/s)",HIB,122,122,122 "lzbench - Test: Zstd 1 - Process: Compression (MB/s)",HIB,499,501,501 "lzbench - Test: Zstd 1 - Process: Decompression (MB/s)",HIB,1449,1449,1448 "lzbench - Test: Zstd 8 - Process: Compression (MB/s)",HIB,92,92,92 "lzbench - Test: Zstd 8 - Process: Decompression (MB/s)",HIB,1537,1519,1535 "lzbench - Test: Crush 0 - Process: Compression (MB/s)",HIB,99,99,99 "lzbench - Test: Crush 0 - Process: Decompression (MB/s)",HIB,540,539,543 "lzbench - Test: Brotli 0 - Process: Compression (MB/s)",HIB,469,470,470 "lzbench - Test: Brotli 0 - Process: Decompression (MB/s)",HIB,644,643,647 "lzbench - Test: Brotli 2 - Process: Compression (MB/s)",HIB,195,195,195 "lzbench - Test: Brotli 2 - Process: Decompression (MB/s)",HIB,755,755,754 "lzbench - Test: Libdeflate 1 - Process: Compression (MB/s)",HIB,236,236,236 "lzbench - Test: Libdeflate 1 - Process: Decompression (MB/s)",HIB,1248,1249,1248 "SMHasher - Hash: wyhash (MiB/sec)",HIB,14488.96,14512.08,14521.09 "SMHasher - Hash: wyhash (cycles/hash)",LIB,33.488,33.487,33.485 "SMHasher - Hash: MeowHash (MiB/sec)",HIB,27681.00,27426.54,27426.50 "SMHasher - Hash: MeowHash (cycles/hash)",LIB,77.702,77.658,77.647 "SMHasher - Hash: Spooky32 (MiB/sec)",HIB,12487.98,12494.38,12469.32 "SMHasher - Hash: Spooky32 (cycles/hash)",LIB,56.647,56.689,56.661 "SMHasher - Hash: fasthash32 (MiB/sec)",HIB,6189.43,6189.80,6189.94 "SMHasher - Hash: fasthash32 (cycles/hash)",LIB,43.132,43.133,43.132 "SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,13313.72,13145.21,13296.26 "SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,42.983,42.957,42.929 "SMHasher - Hash: t1ha0_aes_avx2 (MiB/sec)",HIB,28665.24,28567.51,29938.88 "SMHasher - Hash: t1ha0_aes_avx2 (cycles/hash)",LIB,43.516,43.516,43.516 "Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,114246.8,114876.5,114720.6 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,18506.136273738,18803.435277645,18462.224953855 "Timed HMMer Search - Pfam Database Search (sec)",LIB,118.474,123.516,123.633 "Incompact3D - Input: Cylinder (sec)",LIB,679.816447,954.656250,952.584574 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,11.472,11.528,11.687 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,274,331,335 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,3.240,2.311,2.430 "LULESH - (z/s)",HIB,902.41152,865.80598,872.44309 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.607,1.595,1.599 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.430,2.426,2.430 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,16.947,16.888,16.892 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,7.297,7.303,7.300 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,39.755,40.022,40.026 "Java Gradle Build - Gradle Build: Reactor (sec)",LIB,220.212,213.865,215.048 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,43087970.3,43342185.3,43235594.2 "Zstd Compression - Compression Level: 3 (MB/s)",HIB,2060.2,2072.1,2037.7 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,22.3,22.4,22.5 "Botan - Test: KASUMI (MiB/s)",HIB,95.538,95.641,95.629 "Botan - Test: AES-256 (MiB/s)",HIB,3896.032,3912.503,3897.735 "Botan - Test: Twofish (MiB/s)",HIB,362.253,362.614,362.562 "Botan - Test: Blowfish (MiB/s)",HIB,435.747,435.150,435.574 "Botan - Test: CAST-256 (MiB/s)",HIB,138.103,138.100,138.038 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,31.62,31.52,31.52 "Crafty - Elapsed Time (Nodes/s)",HIB,7904901,7863882,7835355 "TSCP - AI Chess Performance (Nodes/s)",HIB,1437317,1435819,1436568 "ArrayFire - Test: BLAS CPU (GFLOPS)",HIB,446.786,430.465,417.604 "ArrayFire - Test: Conjugate Gradient CPU (ms)",LIB,34.40,34.61,35.07 "John The Ripper - Test: Blowfish (Real C/S)",HIB,7584,7591,7582 "John The Ripper - Test: MD5 (Real C/S)",HIB,486246,485299,486050 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,8.89071,9.16530,11.0422 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,108.991,114.148,115.237 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,26.9135,26.6321,27.0384 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,8.43106,8.41321,11.8026 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,15.1563,15.1270,22.1519 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,812.081,976.123,997.295 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,383.616,370.098,365.466 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,6.84953,7.84553,8.25877 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,299.36,304.51,308.60 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,76.13,79.61,79.30 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,284.75,286.93,285.45 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,69.14,69.83,69.53 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,14.88,14.90,14.86 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,3.02,3.00,2.99 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,37.27,37.35,37.60 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,4.7469,4.7257,4.7315 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,5.2976,5.3319,5.3615 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,5.5231,5.5370,5.5551 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,5.1991,5.2095,5.2218 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,6.5711,6.5432,6.6306 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,5.8697,5.8932,5.8980 "SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.083,0.075,0.076 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,1.442,1.414,1.423 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,11.787,11.663,11.685 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,79.49,81.94,80.64 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,81.34,83.58,83.12 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,65.84,66.19,66.72 "x264 - H.264 Video Encoding (FPS)",HIB,40.84,40.49,40.21 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,3.90,3.90,3.90 "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,56.39,56.36,55.92 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,0.72,0.73,0.73 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,0.78,0.77,0.78 "7-Zip Compression - Compress Speed Test (MIPS)",HIB,24772,23888,24843 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,181.596,182.536,183.769 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,107.370,108.132,107.967 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,7.836,7.875,7.900 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,7.213,7.265,7.301 "Timed Apache Compilation - Time To Compile (sec)",LIB,28.707,29.373,29.806 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,128.769,128.887,127.984 "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,146.419,153.153,153.951 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,176.908,176.110,177.527 "Timed LLVM Compilation - Time To Compile (sec)",LIB,1322.135,1329.613,1332.617 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,84.925,84.500,84.875 "Timed PHP Compilation - Time To Compile (sec)",LIB,103.124,102.955,103.757 "Build2 - Time To Compile (sec)",LIB,219.121,224.729,224.411 "YafaRay - Total Time For Sample Scene (sec)",LIB,364.332,364.626,364.311 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,55.724,58.328,60.828 "Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,85.809,86.222,85.176 "RNNoise - (sec)",LIB,23.502,23.254,23.176 "System GZIP Decompression - (sec)",LIB,2.896,2.899,2.900 "Tachyon - Total Time (sec)",LIB,242.2099,242.5570,242.6636 "LevelDB - Benchmark: Hot Read (us/Op)",LIB,3.262,3.333,3.325 "LevelDB - Benchmark: Fill Sync (MB/s)",HIB,0.2,0.2,0.2 "LevelDB - Benchmark: Fill Sync (us/Op)",LIB,4734.247,4386.739,3999.048 "LevelDB - Benchmark: Overwrite (MB/s)",HIB,24.9,21.5,22.5 "LevelDB - Benchmark: Overwrite (us/Op)",LIB,36.930,42.414,40.464 "LevelDB - Benchmark: Random Fill (MB/s)",HIB,25.1,22.7,23.4 "LevelDB - Benchmark: Random Fill (us/Op)",LIB,36.615,40.098,38.554 "LevelDB - Benchmark: Random Read (us/Op)",LIB,3.269,3.350,3.325 "LevelDB - Benchmark: Seek Random (us/Op)",LIB,4.498,4.516,4.472 "LevelDB - Benchmark: Random Delete (us/Op)",LIB,29.916,35.942,36.331 "LevelDB - Benchmark: Sequential Fill (MB/s)",HIB,27.4,22.8,23.1 "LevelDB - Benchmark: Sequential Fill (us/Op)",LIB,32.397,38.856,38.402 "KeyDB - (Ops/sec)",HIB,406172.88,402813.03,406734.84 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.407,0.407,0.406 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,478990,479932,480001 "TensorFlow Lite - Model: Inception V4 (us)",LIB,6912373,6929577,6930130 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,347219,347818,347722 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,324779,325562,325294 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,312183,312621,312321 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,6252180,6265000,6259830 "Tensorflow - Build: Cifar10 (sec)",LIB,113.83,114.69,114.39 "ASTC Encoder - Preset: Fast (sec)",LIB,7.64,7.69,7.66 "ASTC Encoder - Preset: Medium (sec)",LIB,10.39,10.39,10.40 "ASTC Encoder - Preset: Thorough (sec)",LIB,69.46,69.56,69.50 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,567.08,567.82,567.17 "Basis Universal - Settings: ETC1S (sec)",LIB,71.708,72.334,72.317 "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,10.670,10.531,10.667 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,74.240,74.284,74.463 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,145.422,146.172,145.365 "Basis Universal - Settings: UASTC Level 2 + RDO Post-Processing (sec)",LIB,828.986,961.402,979.594 "G'MIC - Test: 2D Function Plotting, 1000 Times (sec)",LIB,100.327,101.346,100.807 "G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,19.251,19.201,19.201 "G'MIC - Test: 3D Elevated Function In Random Colors, 100 Times (sec)",LIB,65.406,65.463,65.430 "Hugin - Panorama Photo Assistant + Stitching Time (sec)",LIB,74.887,74.378,74.014 "OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,51.400,50.983,50.967 "GNU Octave Benchmark - (sec)",LIB,8.857,8.851,8.946 "RawTherapee - Total Benchmark Time (sec)",LIB,90.533,91.005,90.916 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,57059,57084,56949 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,114292,114038,115045 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,134039,134543,134327 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,268283,269547,269249 "GPAW - Input: Carbon Nanotube (sec)",LIB,712.537,833.146,834.861 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,28.23,28.29,27.27 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,31.94,31.69,31.53 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,9.00,8.47,8.40 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,7.29,7.09,7.11 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.80,4.77,4.78 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,7.04,6.75,6.81 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,11.75,11.29,11.41 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.94,1.88,1.93 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,25.02,24.44,24.14 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,112.61,112.10,112.08 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,25.78,26.36,25.49 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,24.32,25.29,24.35 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,52.66,51.72,52.11 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,46.58,45.5,44.75 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,264.923,266.529,264.087 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,250.742,250.232,250.699 "PyPerformance - Benchmark: go (Milliseconds)",LIB,235,235,235 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,324,324,325 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,104,104,104 "PyPerformance - Benchmark: float (Milliseconds)",LIB,114,114,113 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,112,112,112 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,20.1,19.5,19.5 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,461,461,461 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,21.9,21.9,22.0 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,98.8,98.9,98.9 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,178,179,178 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,7.86,7.96,8.43 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,54.6,55.1,54.7 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,440,441,441 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,402761427.93405,403395535.75480,402298795.12647 "Git - Time To Complete Common Git Commands (sec)",LIB,50.198,50.459,50.759 "Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,55.32,55.25,55.29 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,97.55,97.00,97.52 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,11.67,11.67,11.68 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,4.61,4.52,4.55 "Tesseract OCR - Time To OCR 7 Images (sec)",LIB,24.057,24.614,24.593 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,48610,48451,48631 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,724681.1,702128.1,730564.0 "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,846581.0,832295.9,854943.7 "InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1047518.7,1014695.5,1032595.4