Core i7 8700K July

AMD Ryzen 7 3700X 8-Core testing with a ASUS ROG STRIX X570-F GAMING (1405 BIOS) and eVGA NVIDIA GeForce GTX 1070 8GB on Arch rolling via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2007148-NI-2007095NE12
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AV1 4 Tests
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CPU Massive 14 Tests
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HPC - High Performance Computing 6 Tests
Imaging 3 Tests
Java 2 Tests
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Multi-Core 16 Tests
NVIDIA GPU Compute 5 Tests
Programmer / Developer System Benchmarks 7 Tests
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Server CPU Tests 9 Tests
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Core i7 8700K
July 09 2020
  5 Hours, 50 Minutes
bondar-20200713-i7-comparison
July 13 2020
  4 Hours, 30 Minutes
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Core i7 8700K July AMD Ryzen 7 3700X 8-Core testing with a ASUS ROG STRIX X570-F GAMING (1405 BIOS) and eVGA NVIDIA GeForce GTX 1070 8GB on Arch rolling via the Phoronix Test Suite. ,,"Core i7 8700K","bondar-20200713-i7-comparison" Processor,,Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads),AMD Ryzen 7 3700X 8-Core @ 4.05GHz (8 Cores / 16 Threads) Motherboard,,ASUS TUF Z370-PLUS GAMING (2001 BIOS),ASUS ROG STRIX X570-F GAMING (1405 BIOS) Chipset,,Intel 8th Gen Core,AMD Starship/Matisse Memory,,16GB,2 x 32 GB DDR4-2666MT/s Disk,,128GB THNSN5128GPU7 TOSHIBA,Samsung SSD 970 EVO Plus 500GB + 512GB LITEON CV8-8E512 Graphics,,ASUS Intel UHD 630 3GB (1200MHz),eVGA NVIDIA GeForce GTX 1070 8GB (1594/4006MHz) Audio,,Realtek ALC887-VD,NVIDIA GP104 HD Audio Monitor,,DELL S2409W,E4ST4316H Network,,Intel I219-V,Intel I211 OS,,Ubuntu 20.04,Arch rolling Kernel,,5.4.0-21-generic (x86_64),5.7.8-zen2-1-zen (x86_64) Desktop,,GNOME Shell 3.36.0, Display Server,,X Server 1.20.7,X Server 1.20.8 Display Driver,,modesetting 1.20.7,NVIDIA 450.57 OpenGL,,4.6 Mesa 20.0.2,4.6.0 OpenCL,,OpenCL 2.1,OpenCL 1.2 CUDA 11.0.210 + OpenCL 2.1 AMD-APP (3110.6) + OpenCL 1.1 Mesa 20.1.3 Compiler,,GCC 9.3.0,GCC 10.1.0 + Clang 10.0.0 + LLVM 10.0.0 File-System,,ext4,zfs Screen Resolution,,1920x1080,7680x2160 ,,"Core i7 8700K","bondar-20200713-i7-comparison" "Java Gradle Build - Gradle Build: Reactor (sec)",LIB,193.397, "AI Benchmark Alpha - Device AI Score (Score)",HIB,2133,2161 "AI Benchmark Alpha - Device Training Score (Score)",HIB,1063,988 "AI Benchmark Alpha - Device Inference Score (Score)",HIB,1070,1173 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,318.581,238.431 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,88987,122898 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.777,0.843 "WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,142.499,218.600 "YafaRay - Total Time For Sample Scene (sec)",LIB,209.052,143.458 "SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.126,0.114 "Build2 - Time To Compile (sec)",LIB,141.108, "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,135.896,122.504 "DaCapo Benchmark - Java Test: Tradesoap (msec)",LIB,4237,3271 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,97.78,121.27 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,112.645,90.633 "G'MIC - Test: 2D Function Plotting, 1000 Times (sec)",LIB,98.465, "libavif avifenc - Encoder Speed: 0 (sec)",LIB,112.293,83.613 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,97.852,92.699 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,170.556,51.9187 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,97.87,132.77 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,112890.68,2823.79 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,3818913.80,4615216.93 "Zstd Compression - Compression Level: 19 (MB/s)",HIB,27.1,35.5 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,19.914,28.728 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,32695.354392743, "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,385,482 "Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,10876, "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.77,8.31 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,1.29,1.87 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,1.18,1.70 "G'MIC - Test: 3D Elevated Function In Random Colors, 100 Times (sec)",LIB,59.787, "libavif avifenc - Encoder Speed: 2 (sec)",LIB,67.107,49.680 "oneDNN - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,29.7362,36.4694 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,69.4349,58.5507 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,264,300 "Hugin - Panorama Photo Assistant + Stitching Time (sec)",LIB,49.677, "Git - Time To Complete Common Git Commands (sec)",LIB,46.477,49.375 "PyPerformance - Benchmark: go (Milliseconds)",LIB,205,244 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,375.865,238.281 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,39.3,46.1 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.3, "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,145,168 "Stress-NG - Test: RdRand (Bogo Ops/s)",HIB,195282.18, "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,3212.34,3689.48 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,169.84,193.63 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,44173520.94,75107423.16 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,10972817.17,10698174.32 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,1403.40,2248.36 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,1616.92,5640.62 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,690.65,606.69 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,120.84,202.72 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,22.00,26.50 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,235570.65,717698.13 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,866371.21,592309.06 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,7651.41,3084.09 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,49779.10,74240.06 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,33927.37,41319.78 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,1205744.80,1221663.49 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,69034.32,4096.76 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,20.58, "Zstd Compression - Compression Level: 3 (MB/s)",HIB,3036.1,4077.8 "DaCapo Benchmark - Java Test: H2 (msec)",LIB,2940,3064 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,87.8,113 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,2.594,3.995 "PyPerformance - Benchmark: float (Milliseconds)",LIB,91.0,113 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,4.02, "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,89.1,114 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,27.614,24.278 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,15.1,17.3 "Timed Apache Compilation - Time To Compile (sec)",LIB,22.777,26.615 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,137.02,171.79 "C-Blosc - Compressor: blosclz (MB/s)",HIB,10037.9,10216.7 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,353,436 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,821.90, "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,20.5,27.7 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.10225,6.76275 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,5.40304,4.05101 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,523.83,606.91 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,104,117 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,2.53, "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,1149.76, "G'MIC - Test: Plotting Isosurface Of A 3D Volume, 1000 Times (sec)",LIB,18.002, "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,474.49,547.80 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.60904,4.96181 "oneDNN - Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.18323,2.69031 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,43.83, "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,20.448,34.508 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,3.94364,4.61976 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.01224,2.56030 "GNU Octave Benchmark - (sec)",LIB,6.581,6.661 "NeatBench - Acceleration: CPU (FPS)",HIB,12.8,14.3 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,16.0987,17.3996 "DaCapo Benchmark - Java Test: Jython (msec)",LIB,3427,3754 "Rodinia - Test: OpenMP Myocyte (sec)",LIB,4.034,9.479 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.1533,17.3600 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,115.54,124.73 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,5.578,4.520 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,5.226,4.275 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,142.23,146.24 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,145.86,152.29 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.20934,5.51690 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,8.91380,6.16231