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
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 7 Tests
Compression Tests 2 Tests
CPU Massive 14 Tests
Creator Workloads 13 Tests
Encoding 5 Tests
HPC - High Performance Computing 6 Tests
Imaging 3 Tests
Java 2 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 2 Tests
Multi-Core 16 Tests
NVIDIA GPU Compute 5 Tests
Programmer / Developer System Benchmarks 7 Tests
Python Tests 3 Tests
Renderers 3 Tests
Scientific Computing 2 Tests
Server CPU Tests 9 Tests
Video Encoding 5 Tests
Common Workstation Benchmarks 3 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 Suite 1.0.0 System Test suite extracted from Core i7 8700K July. pts/java-gradle-perf-1.1.0 TEST_REACTOR Gradle Build: Reactor pts/ai-benchmark-1.0.0 Device AI Score pts/ai-benchmark-1.0.0 Device Training Score pts/ai-benchmark-1.0.0 Device Inference Score pts/brl-cad-1.1.0 VGR Performance Metric pts/gromacs-1.3.0 Water Benchmark system/wireguard-1.0.1 pts/yafaray-1.0.0 Total Time For Sample Scene pts/svt-av1-2.2.1 -enc-mode 0 -n 20 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 0 - Input: 1080p pts/build2-1.0.1 Time To Compile pts/dacapobench-1.0.1 tradesoap Java Test: Tradesoap pts/dav1d-1.6.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/build-linux-kernel-1.10.2 Time To Compile system/gmic-1.0.0 repeat 1000 1000,1,1,2 fill "X=3*(x-500)/500;X^2*sin(3*X^2)+if(c==0,u(0,-1),cos(X*10))" output output.png done Test: 2D Function Plotting, 1000 Times pts/avifenc-1.0.0 -s 0 Encoder Speed: 0 pts/onednn-1.5.0 --rnn --batch=inputs/rnn/rnn_inference --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/stress-ng-1.3.1 --qsort 0 Test: Glibc Qsort Data Sorting pts/stress-ng-1.3.1 --sendfile 0 Test: SENDFILE pts/stress-ng-1.3.1 --switch 0 Test: Context Switching pts/compress-zstd-1.2.0 -b19 Compression Level: 19 pts/daphne-1.0.0 OpenMP points2image Backend: OpenMP - Kernel: Points2Image pts/pyperformance-1.0.2 raytrace Benchmark: raytrace pts/v-ray-1.2.1 -m vray Mode: CPU pts/pyperformance-1.0.2 python_startup Benchmark: python_startup pts/luxcorerender-1.2.3 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/luxcorerender-1.2.3 DLSC/LuxCoreScene/render.cfg Scene: DLSC system/gmic-1.0.0 repeat 100 128,128,1,3,"u(0,255)" plasma 10,3 blur 4 sharpen 10000 elevation3d[-1] "'X=(x-64)/6;Y=(y-64)/6;100*exp(-(X^2+Y^2)/30)*abs(cos(X)*sin(Y))'" done output output.png Test: 3D Elevated Function In Random Colors, 100 Times pts/avifenc-1.0.0 -s 2 Encoder Speed: 2 pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_all --cfg=u8s8f32 --engine=cpu Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_all --cfg=f32 --engine=cpu Harness: IP Batch All - Data Type: f32 - Engine: CPU pts/pyperformance-1.0.2 2to3 Benchmark: 2to3 system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/git-1.1.0 Time To Complete Common Git Commands pts/pyperformance-1.0.2 go Benchmark: go pts/onednn-1.5.0 --rnn --batch=inputs/rnn/rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/pyperformance-1.0.2 django_template Benchmark: django_template pts/aom-av1-2.1.1 --cpu-used=0 --limit=10 Encoder Mode: Speed 0 Two-Pass pts/pyperformance-1.0.2 regex_compile Benchmark: regex_compile pts/stress-ng-1.3.1 --rdrand 0 Test: RdRand pts/stress-ng-1.3.1 --cpu 0 --cpu-method all Test: CPU Stress pts/stress-ng-1.3.1 --numa 0 Test: NUMA pts/stress-ng-1.3.1 --malloc 0 Test: Malloc pts/stress-ng-1.3.1 --msg 0 Test: System V Message Passing pts/stress-ng-1.3.1 --crypt 0 Test: Crypto pts/stress-ng-1.3.1 --memcpy 0 Test: Memory Copying pts/stress-ng-1.3.1 --memfd 0 Test: MEMFD pts/stress-ng-1.3.1 --mmap 0 Test: MMAP pts/stress-ng-1.3.1 --cache 0 Test: CPU Cache pts/stress-ng-1.3.1 --atomic 0 Test: Atomic pts/stress-ng-1.3.1 --str 0 Test: Glibc C String Functions pts/stress-ng-1.3.1 --sock 0 Test: Socket Activity pts/stress-ng-1.3.1 --vecmath 0 Test: Vector Math pts/stress-ng-1.3.1 --matrix 0 Test: Matrix Math pts/stress-ng-1.3.1 --sem 0 Test: Semaphores pts/stress-ng-1.3.1 --fork 0 Test: Forking pts/aom-av1-2.1.1 --cpu-used=6 --rt Encoder Mode: Speed 6 Realtime pts/compress-zstd-1.2.0 -b3 Compression Level: 3 pts/dacapobench-1.0.1 h2 Java Test: H2 pts/pyperformance-1.0.2 chaos Benchmark: chaos pts/svt-av1-2.2.1 -enc-mode 4 -n 80 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 4 - Input: 1080p pts/pyperformance-1.0.2 float Benchmark: float pts/aom-av1-2.1.1 --cpu-used=6 --limit=80 Encoder Mode: Speed 6 Two-Pass pts/pyperformance-1.0.2 crypto_pyaes Benchmark: crypto_pyaes pts/pyperformance-1.0.2 pathlib Benchmark: pathlib pts/build-apache-1.6.1 Time To Compile pts/dav1d-1.6.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/blosc-1.0.0 blosclz Compressor: blosclz pts/pyperformance-1.0.2 pickle_pure_python Benchmark: pickle_pure_python pts/daphne-1.0.0 OpenMP ndt_mapping Backend: OpenMP - Kernel: NDT Mapping pts/pyperformance-1.0.2 json_loads Benchmark: json_loads pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU pts/dav1d-1.6.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/pyperformance-1.0.2 nbody Benchmark: nbody pts/aom-av1-2.1.1 --cpu-used=4 --limit=40 Encoder Mode: Speed 4 Two-Pass pts/daphne-1.0.0 OpenMP euclidean_cluster Backend: OpenMP - Kernel: Euclidean Cluster system/gmic-1.0.0 repeat 1000 mode3d 5 moded3d 5 double3d 0 isosurface3d "'x^2+y^2+abs(z)^abs(4*cos(x*y*z*3))'",3 done output output.png Test: Plotting Isosurface Of A 3D Volume, 1000 Times pts/dav1d-1.6.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_1d --cfg=f32 --engine=cpu Harness: IP Batch 1D - Data Type: f32 - Engine: CPU pts/onednn-1.5.0 --ip --batch=inputs/ip/ip_1d --cfg=u8s8f32 --engine=cpu Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU pts/aom-av1-2.1.1 --cpu-used=8 --rt Encoder Mode: Speed 8 Realtime pts/svt-av1-2.2.1 -enc-mode 8 -n 320 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Enc Mode 8 - Input: 1080p pts/onednn-1.5.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.5.0 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU system/octave-benchmark-1.0.1 pts/neatbench-1.0.4 cpu Acceleration: CPU pts/onednn-1.5.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/dacapobench-1.0.1 jython Java Test: Jython pts/onednn-1.5.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/svt-vp9-1.2.2 -tune 0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p pts/avifenc-1.0.0 -s 8 Encoder Speed: 8 pts/avifenc-1.0.0 -s 10 Encoder Speed: 10 pts/svt-vp9-1.2.2 -tune 2 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: VMAF Optimized - Input: Bosphorus 1080p pts/svt-vp9-1.2.2 -tune 1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.5.0 --deconv --batch=inputs/deconv/deconv_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU