Skylake Core i5 6500

Intel Core i5-6500 testing with a Gigabyte Z170M-D3H-CF (F22f BIOS) and Gigabyte Intel HD 530 3GB on Ubuntu 20.04 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 2009292-FI-SKYLAKECO34
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Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 6 Tests
CPU Massive 7 Tests
Creator Workloads 4 Tests
Database Test Suite 3 Tests
Fortran Tests 5 Tests
HPC - High Performance Computing 16 Tests
Imaging 2 Tests
Machine Learning 7 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 4 Tests
NVIDIA GPU Compute 5 Tests
OpenMPI Tests 4 Tests
Python Tests 3 Tests
Scientific Computing 9 Tests
Server 3 Tests
Single-Threaded 3 Tests
Vulkan Compute 2 Tests

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Linux 5.4
September 28 2020
  10 Hours, 14 Minutes
Linux 5.8.12
September 29 2020
  8 Hours, 55 Minutes
Linux 5.9-rc7
September 29 2020
  8 Hours, 18 Minutes
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  9 Hours, 9 Minutes

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Skylake Core i5 6500 Intel Core i5-6500 testing with a Gigabyte Z170M-D3H-CF (F22f BIOS) and Gigabyte Intel HD 530 3GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"Linux 5.4","Linux 5.8.12","Linux 5.9-rc7" Processor,,Intel Core i5-6500 @ 3.60GHz (4 Cores),Intel Core i5-6500 @ 3.60GHz (4 Cores),Intel Core i5-6500 @ 3.60GHz (4 Cores) Motherboard,,Gigabyte Z170M-D3H-CF (F22f BIOS),Gigabyte Z170M-D3H-CF (F22f BIOS),Gigabyte Z170M-D3H-CF (F22f BIOS) Chipset,,Intel Xeon E3-1200 v5/E3-1500,Intel Xeon E3-1200 v5/E3-1500,Intel Xeon E3-1200 v5/E3-1500 Memory,,8GB,8GB,8GB Disk,,250GB Samsung SSD 850,250GB Samsung SSD 850,250GB Samsung SSD 850 Graphics,,Gigabyte Intel HD 530 3GB (1050MHz),Gigabyte Intel HD 530 3GB (1050MHz),Gigabyte Intel HD 530 3GB (1050MHz) Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892 Monitor,,G237HL,G237HL,G237HL Network,,Intel I219-V,Intel I219-V,Intel I219-V OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.4.0-45-generic (x86_64),5.8.12-050812-generic (x86_64),5.9.0-050900rc7daily20200929-generic (x86_64) 20200928 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,,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4 OpenCL,,OpenCL 2.1,OpenCL 2.1,OpenCL 2.1 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"Linux 5.4","Linux 5.8.12","Linux 5.9-rc7" "Incompact3D - Input: Cylinder (sec)",LIB,813.295349,815.482341,812.175049 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,810,759,789 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.469,0.466,0.472 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,852,834,827 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,329,329,329 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,361421279.16012,359752768.98517,359707021.11346 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,145.04,81.87,81.88 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,146.09,82.22,82.20 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,106.85,53.67,54.56 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,79.88,34.03,34.04 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,280.10,231.43,232.40 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,91.34,38.51,38.50 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,6.47,3.45,3.19 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,70.82,28.10,28.11 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,34.91,13.91,13.92 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,23.21,9.41,11.23 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,37.84,14.92,14.94 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,33.67,13.51,13.52 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,98.34,41.73,41.18 "NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,106.56,47.62,47.60 "MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,74.83,75.21,75.22 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,4.98990,5.00306,4.98427 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,232.895,209.267,208.272 "RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,17.282,303.112,301.102 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,80.48,80.38,80.15 "Timed HMMer Search - Pfam Database Search (sec)",LIB,130.872,130.644,130.974 "Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,60.22,62.46,60.88 "InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,875726.3,848096.4,847939.2 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,35634715.8,35578653.6,35158099.5 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,50.422,50.436,50.404 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,6.351,6.344,6.348 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.952,4.957,4.951 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,37.345,37.198,37.289 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,8.523,8.523,8.523 "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,899170.0,881495.6,887270.8 "GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,484,498,499 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,46.19,46.33,46.27 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,53.29,53.31,53.32 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,25.85,25.94,25.92 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,28.12,28.13,28.14 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,97.23,98.29,98.00 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,27.20,27.25,27.25 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.96,1.96,1.96 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,11.37,11.40,11.39 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,7.18,7.20,7.18 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.98,5.00,5.00 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,7.04,7.09,7.07 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,7.98,7.99,7.97 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,31.35,31.35,31.34 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,27.13,27.18,27.18 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,93409,93347,93209 "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,38827,23997,23722 "MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,204.04,207.08,206.86 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,5.14,4.57,4.56 "KeyDB - (Ops/sec)",HIB,241149.57,242725.17,244927.94 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,53.058,53.228,53.306 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,23.08,23.05,23.06 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,12.96,12.98,12.95 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,33.998,34.471,33.888 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,38264,38284,38398 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,2.69,2.69,2.68 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,29.53,29.47,29.51 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,377.119,373.414,374.253 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,372.485,375.855,374.335 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,23.366,23.420,23.466 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,21.606,21.834,21.697 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,32.84,32.63,32.72 "System GZIP Decompression - (sec)",LIB,3.577,3.591,3.583 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,12.893,12.743,12.832 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,8.786,8.833,8.823 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,2.533,2.536,2.525 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,17566.367941500,17695.538070112,17854.791823564 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.942,2.957,2.959 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.874,1.893,1.880