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" "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,37.84,14.92,14.94 "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-v2-v2 - Model: mobilenet-v2 (ms)",LIB,33.67,13.51,13.52 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,23.21,9.41,11.23 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,98.34,41.73,41.18 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,91.34,38.51,38.50 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,79.88,34.03,34.04 "NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,106.56,47.62,47.60 "RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,17.282,303.112,301.102 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,106.85,53.67,54.56 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,146.09,82.22,82.20 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,145.04,81.87,81.88 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,280.10,231.43,232.40 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,5.14,4.57,4.56 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,232.895,209.267,208.272 "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 "GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,484,498,499 "LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,852,834,827 "InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,899170.0,881495.6,887270.8 "eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,33.998,34.471,33.888 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,17566.367941500,17695.538070112,17854.791823564 "KeyDB - (Ops/sec)",HIB,241149.57,242725.17,244927.94 "MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,204.04,207.08,206.86 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,35634715.8,35578653.6,35158099.5 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.469,0.466,0.472 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,12.893,12.743,12.832 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,97.23,98.29,98.00 "WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,21.606,21.834,21.697 "WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.874,1.893,1.880 "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 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,7.04,7.09,7.07 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,32.84,32.63,32.72 "WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.942,2.957,2.959 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,8.786,8.833,8.823 "MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,74.83,75.21,75.22 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,361421279.16012,359752768.98517,359707021.11346 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,53.058,53.228,53.306 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,2.533,2.536,2.525 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,23.366,23.420,23.466 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,80.48,80.38,80.15 "Incompact3D - Input: Cylinder (sec)",LIB,813.295349,815.482341,812.175049 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.98,5.00,5.00 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,37.345,37.198,37.289 "System GZIP Decompression - (sec)",LIB,3.577,3.591,3.583 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,4.98990,5.00306,4.98427 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,2.69,2.69,2.68 "Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,38264,38284,38398 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,25.85,25.94,25.92 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,46.19,46.33,46.27 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,7.18,7.20,7.18 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,11.37,11.40,11.39 "Timed HMMer Search - Pfam Database Search (sec)",LIB,130.872,130.644,130.974 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,7.98,7.99,7.97 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,12.96,12.98,12.95 "Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,93409,93347,93209 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,29.53,29.47,29.51 "NCNN - Target: CPU - Model: squeezenet (ms)",LIB,27.13,27.18,27.18 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,27.20,27.25,27.25 "LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,23.08,23.05,23.06 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,4.952,4.957,4.951 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,6.351,6.344,6.348 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,28.12,28.13,28.14 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,50.422,50.436,50.404 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,53.29,53.31,53.32 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,31.35,31.35,31.34 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.96,1.96,1.96 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,8.523,8.523,8.523 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,329,329,329 "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,38827,23997,23722 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,6.47,3.45,3.19 "LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,810,759,789