Core i3 10100 Okt

Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 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 2010035-FI-COREI310132
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Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C/C++ Compiler Tests 9 Tests
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Fortran Tests 4 Tests
HPC - High Performance Computing 17 Tests
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Linux 5.9-rc1
October 02 2020
  11 Hours, 2 Minutes
Linux 5.9-rc7
October 02 2020
  11 Hours, 26 Minutes
Linux 5.9-rc7 + mitigations=off
October 03 2020
  11 Hours, 31 Minutes
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  11 Hours, 20 Minutes

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Core i3 10100 Okt Suite 1.0.0 System Test suite extracted from Core i3 10100 Okt. pts/vkfft-1.0.0 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=0 --limit=10 Encoder Mode: Speed 0 Two-Pass pts/aom-av1-2.1.2 --cpu-used=4 --limit=40 Encoder Mode: Speed 4 Two-Pass 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/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/ffte-1.2.1 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/kripke-1.0.0 pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 1 Scaling Factor: 1 - Clients: 1 - Mode: Read Write pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 100 -S Scaling Factor: 1 - Clients: 100 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write pts/pgbench-1.10.1 -s 100 -c 1 -S Scaling Factor: 100 - Clients: 1 - Mode: Read Only pts/pgbench-1.10.1 -s 1 -c 100 Scaling Factor: 1 - Clients: 100 - Mode: Read Write pts/pgbench-1.10.1 -s 100 -c 1 Scaling Factor: 100 - Clients: 1 - Mode: Read Write pts/pgbench-1.10.1 -s 100 -c 50 -S Scaling Factor: 100 - Clients: 50 - Mode: Read Only pts/pgbench-1.10.1 -s 100 -c 100 -S Scaling Factor: 100 - Clients: 100 - Mode: Read Only pts/pgbench-1.10.1 -s 100 -c 50 Scaling Factor: 100 - Clients: 50 - Mode: Read Write pts/pgbench-1.10.1 -s 100 -c 100 Scaling Factor: 100 - Clients: 100 - Mode: Read Write 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/influxdb-1.0.0 -c 1024 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 1024 - 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_alexnet/deploy.prototxt -iterations 200 Model: AlexNet - Acceleration: CPU - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 200 Model: GoogleNet - Acceleration: CPU - Iterations: 200 pts/pgbench-1.10.1 -s 1 -c 1 -S Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 1 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 1 -c 50 -S Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 100 -S Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 50 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 100 -c 1 -S Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 1 -c 100 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 100 -c 1 Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 100 -c 50 -S Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 100 -c 100 -S Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency pts/pgbench-1.10.1 -s 100 -c 50 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency pts/pgbench-1.10.1 -s 100 -c 100 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency 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/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/mafft-1.6.1 Multiple Sequence Alignment - LSU RNA pts/mocassin-1.0.0 Input: Dust 2D tau100.0 pts/build-llvm-1.2.1 Time To Compile pts/espeak-1.6.0 Text-To-Speech Synthesis pts/rnnoise-1.0.2 pts/system-decompress-gzip-1.1.1 pts/couchdb-1.0.1 100 1000 24 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 pts/gpaw-1.0.0 carbon-nanotube Input: Carbon Nanotube 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