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
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NVIDIA GPU Compute 5 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 Suite 1.0.0 System Test suite extracted from Skylake Core i5 6500. system/mpv-1.0.1 bbb_sunflower_2160p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only system/mpv-1.0.1 bbb_sunflower_1080p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only pts/aom-av1-2.1.2 --cpu-used=6 --rt Encoder Mode: Speed 6 Realtime pts/aom-av1-2.1.2 --cpu-used=6 --limit=80 Encoder Mode: Speed 6 Two-Pass pts/aom-av1-2.1.2 --cpu-used=8 --rt Encoder Mode: Speed 8 Realtime pts/byte-1.2.2 TEST_DHRY2 Computational Test: Dhrystone 2 pts/ffte-1.2.0 N=256, 3D Complex FFT Routine pts/libraw-1.0.0 Post-Processing Benchmark pts/lczero-1.5.1 -b blas Backend: BLAS pts/lczero-1.5.1 -b eigen Backend: Eigen pts/gromacs-1.4.0 Water Benchmark pts/lammps-1.2.1 in.rhodo Model: Rhodopsin Protein pts/keydb-1.2.0 pts/hint-1.0.3 FLOAT Test: FLOAT pts/glmark2-1.2.0 -s 1920x1080 Resolution: 1920 x 1080 pts/influxdb-1.0.0 -c 4 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/influxdb-1.0.0 -c 64 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/webp-1.0.0 Encode Settings: Default pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/mnn-1.0.1 Model: resnet-v2-50 pts/mnn-1.0.1 Model: MobileNetV2_224 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/mnn-1.0.1 Model: inception-v3 pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.0.3 Target: Vulkan GPU - Model: squeezenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.0.3 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.0.3 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: yolov4-tiny pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/opencv-1.0.0 dnn Test: DNN - Deep Neural Network pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/dolfyn-1.0.3 Computational Fluid Dynamics pts/hmmer-1.2.0 Pfam Database Search pts/incompact3d-1.0.0 examples/Cylinder/input.i3d Input: Cylinder pts/mafft-1.6.1 Multiple Sequence Alignment - LSU RNA pts/mocassin-1.0.0 Input: Dust 2D tau100.0 pts/espeak-1.6.0 Text-To-Speech Synthesis pts/system-decompress-gzip-1.1.1 pts/couchdb-1.0.1 100 1000 24 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 pts/mlpack-1.0.2 SCIKIT_ICA Benchmark: scikit_ica pts/mlpack-1.0.2 SCIKIT_QDA Benchmark: scikit_qda pts/mlpack-1.0.2 SCIKIT_SVM Benchmark: scikit_svm pts/mlpack-1.0.2 SCIKIT_LINEARRIDGEREGRESSION Benchmark: scikit_linearridgeregression