Core i7 3770K 2020 Intel Core i7-3770K testing with a ECS Z77H2-A2X v1.0 (4.6.5 BIOS) and ECS Intel HD 4000 2GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"1","2","3" Processor,,Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-3770K @ 3.90GHz (4 Cores / 8 Threads) Motherboard,,ECS Z77H2-A2X v1.0 (4.6.5 BIOS),ECS Z77H2-A2X v1.0 (4.6.5 BIOS),ECS Z77H2-A2X v1.0 (4.6.5 BIOS) Chipset,,Intel Xeon E3-1200 v2/3rd,Intel Xeon E3-1200 v2/3rd,Intel Xeon E3-1200 v2/3rd Memory,,8GB,8GB,8GB Disk,,160GB INTEL SSDSA2M160,160GB INTEL SSDSA2M160,160GB INTEL SSDSA2M160 Graphics,,ECS Intel HD 4000 2GB (1150MHz),ECS Intel HD 4000 2GB (1150MHz),ECS Intel HD 4000 2GB (1150MHz) Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892 Monitor,,G237HL,G237HL,G237HL Network,,2 x Realtek RTL8111/8168/8411,2 x Realtek RTL8111/8168/8411,2 x Realtek RTL8111/8168/8411 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.4.0-47-generic (x86_64),5.4.0-47-generic (x86_64),5.4.0-47-generic (x86_64) Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8 OpenGL,,4.2 Mesa 20.0.8,4.2 Mesa 20.0.8,4.2 Mesa 20.0.8 Vulkan,,1.2.131,1.2.131,1.2.131 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"1","2","3" "yquake2 - Renderer: OpenGL 3.x - Resolution: 1920 x 1080 (FPS)",HIB,126.9,127.0,127.2 "yquake2 - Renderer: Software CPU - Resolution: 1920 x 1080 (FPS)",HIB,59.5,57.4,59.5 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,193,195,188 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,209,208,213 "CLOMP - Static OMP Speedup (Speedup)",HIB,1,1,1 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,11645.911017621,11646.286673010,11663.711414807 "Timed HMMer Search - Pfam Database Search (sec)",LIB,146.750,146.817,146.720 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,2.452,2.462,2.468 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.803,1.806,1.815 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.781,2.783,2.777 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,20.370,20.310,20.359 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,8.837,8.851,8.903 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,47.542,47.737,47.802 "simdjson - Throughput Test: Kostya (GB/s)",HIB,0.4,0.4,0.4 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.27,0.27,0.27 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.48,0.48,0.48 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.49,0.49,0.49 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,33478112.8,32215518.5,33471923.6 "LZ4 Compression - Compression Level: 1 - Compression Speed (MB/s)",HIB,3281.15,3282.89,3281.43 "LZ4 Compression - Compression Level: 1 - Decompression Speed (MB/s)",HIB,3614.5,3612.4,3618.9 "LZ4 Compression - Compression Level: 3 - Compression Speed (MB/s)",HIB,44.27,44.07,44.22 "LZ4 Compression - Compression Level: 3 - Decompression Speed (MB/s)",HIB,3609.7,3609.8,3609.3 "LZ4 Compression - Compression Level: 9 - Compression Speed (MB/s)",HIB,43.22,43.12,43.17 "LZ4 Compression - Compression Level: 9 - Decompression Speed (MB/s)",HIB,3610.3,3611.0,3606.6 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,23.08,23.04,23.02 "Crafty - Elapsed Time (Nodes/s)",HIB,6695664,6664811,6689788 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,20.1476,20.1369,20.0282 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,30.3668,30.8579,31.1639 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,54.4661,54.4756,54.5185 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,38.9484,39.0554,39.0896 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,55.9816,55.9469,55.9132 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,31666.7,31724.4,31732.6 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,16310.6,16311.4,16394.1 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,13.9982,13.9643,14.0304 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,0.43,0.43,0.43 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,2.03,2.03,2.03 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,1.3,1.31,1.31 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,2.93,2.93,2.93 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,5.41,5.41,5.41 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,11.71,11.70,11.71 "rav1e - Speed: 5 (FPS)",HIB,0.487,0.488,0.487 "rav1e - Speed: 6 (FPS)",HIB,0.616,0.616,0.615 "rav1e - Speed: 10 (FPS)",HIB,1.675,1.684,1.682 "x265 - Video Input: Bosphorus 4K (FPS)",HIB,4.51,4.50,4.51 "x265 - Video Input: Bosphorus 1080p (FPS)",HIB,19.88,19.88,19.71 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,134002.970352,133663.883212,133992.040437 "Stockfish - Total Time (Nodes/s)",HIB,6759841,6765874,6500948 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,10939389,10848162,10758234 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,164.543,164.627,165.045 "Build2 - Time To Compile (sec)",LIB,374.323,372.927,375.871 "Numpy Benchmark - (Score)",HIB,195.86,197.29,195.65 "Timed Eigen Compilation - Time To Compile (sec)",LIB,118.926,118.677,118.895 "Monkey Audio Encoding - WAV To APE (sec)",LIB,15.827,15.816,15.833 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,9.995,9.986,9.999 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,39.735,39.960,40.427 "RNNoise - (sec)",LIB,27.494,27.394,27.270 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,7.75,7.74,7.69 "MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,90.44,90.90,91.18 "MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,188.85,194.35,192.54 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,219.331,219.955,220.687 "KeyDB - (Ops/sec)",HIB,295005.50,293567.70,295573.21 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.165,0.166,0.165 "Basis Universal - Settings: ETC1S (sec)",LIB,87.159,87.598,87.000 "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,12.651,12.717,12.670 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,84.998,84.969,84.936 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,96.925,96.045,96.421 "Redis - Test: GET (Reqs/sec)",HIB,1893285.20,1706310.95,1779019.66 "Redis - Test: SET (Reqs/sec)",HIB,1406039.10,1365839.42,1401862.82 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,93.94,93.38,93.61 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,22.22,22.38,22.26 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,21.34,21.68,21.54 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,15.51,15.5,15.53 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,20.85,20.90,21.08 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,36.41,36.29,36.36 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.45,3.44,3.45 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,94.52,93.96,95.02 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,813.60,813.88,811.91 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,88.66,88.88,88.82 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,55.33,54.97,54.87 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,213.15,212.75,212.94 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,189.30,189.34,189.77 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,95.03,94.93,95.01 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,31.25,30.90,31.30 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,339.027,338.017,338.491 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,315.883,313.956,315.182 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (FPS)",HIB,0.48,0.49,0.49 "OpenVINO - Model: Face Detection 0106 FP16 - Device: CPU (ms)",LIB,8236.15,8234.97,8208.70 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (FPS)",HIB,0.48,0.48,0.48 "OpenVINO - Model: Face Detection 0106 FP32 - Device: CPU (ms)",LIB,8243.27,8225.20,8242.67 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (FPS)",HIB,0.32,0.32,0.32 "OpenVINO - Model: Person Detection 0106 FP16 - Device: CPU (ms)",LIB,12215.58,12287.51,12209.06 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (FPS)",HIB,0.32,0.32,0.32 "OpenVINO - Model: Person Detection 0106 FP32 - Device: CPU (ms)",LIB,12220.62,12184.99,12271.86 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,1171.44,1168.39,1160.60 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,3.39,3.40,3.42 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (FPS)",HIB,1176.69,1162.82,1150.33 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU (ms)",LIB,3.38,3.41,3.46 "IndigoBench - Acceleration: CPU - Scene: Bedroom (M samples/s)",HIB,0.592,0.592,0.594 "IndigoBench - Acceleration: CPU - Scene: Supercar (M samples/s)",HIB,1.309,1.303,1.294 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,325871276.08784,325743883.53671,325951390.45105 "PHPBench - PHP Benchmark Suite (Score)",HIB,524140,523043,525275 "WavPack Audio Encoding - WAV To WavPack (sec)",LIB,16.011,15.888,15.885 "Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,86.09,87.11,86.92 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,182.95,189.61,179.04 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,23.28,23.23,23.25 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,9.48,10.83,10.57 "Sunflow Rendering System - Global Illumination + Image Synthesis (sec)",LIB,2.672,2.678,2.679