8100 july

Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel UHD 630 CFL GT2 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 2108016-IB-8100JULY253
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Creator Workloads 2 Tests
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July 31 2021
  2 Hours, 39 Minutes
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August 01 2021
  2 Hours, 33 Minutes
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August 01 2021
  2 Hours, 33 Minutes
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8100 july Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel UHD 630 CFL GT2 3GB on Ubuntu 20.04 via the Phoronix Test Suite. ,,"1","2","3" Processor,,Intel Core i3-8100 @ 3.60GHz (4 Cores),Intel Core i3-8100 @ 3.60GHz (4 Cores),Intel Core i3-8100 @ 3.60GHz (4 Cores) Motherboard,,ASRock Z370M-ITX/ac (P4.10 BIOS),ASRock Z370M-ITX/ac (P4.10 BIOS),ASRock Z370M-ITX/ac (P4.10 BIOS) Chipset,,Intel 8th Gen Core 4-core Desktop,Intel 8th Gen Core 4-core Desktop,Intel 8th Gen Core 4-core Desktop Memory,,8GB,8GB,8GB Disk,,60GB DREVO X1 SSD,60GB DREVO X1 SSD,60GB DREVO X1 SSD Graphics,,Intel UHD 630 CFL GT2 3GB (1100MHz),Intel UHD 630 CFL GT2 3GB (1100MHz),Intel UHD 630 CFL GT2 3GB (1100MHz) Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892 Monitor,,DELL S2409W,DELL S2409W,DELL S2409W Network,,Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW,Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW,Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818 Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4 Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9 OpenGL,,4.6 Mesa 20.0.8,4.6 Mesa 20.0.8,4.6 Mesa 20.0.8 Vulkan,,1.2.131,1.2.131,1.2.131 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"1","2","3" "Renaissance - Test: Scala Dotty (ms)",LIB,1121.8,1131.4,1115.7 "Renaissance - Test: Random Forest (ms)",LIB,830.1,820.9,837.3 "Renaissance - Test: ALS Movie Lens (ms)",LIB,8168.0,8025.9,8047.5 "Renaissance - Test: Apache Spark ALS (ms)",LIB,4600.1,4660.3,4603.9 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,9208.8,9022.7,9316.2 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,7815.1,7849.3,7866.5 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,4042.7,4069.5,4359.1 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,1779.7,1795.0,1856.1 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,4547.9,4527.2,4541.9 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,10732.4,10574.9,10728.6 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,1651.4,1653.9,1655.0 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.731,1.726,1.739 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,3.222,3.238,3.313 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,30.018,30.71,30.562 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.67,5.63,5.628 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.395,3.421,3.438 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,4.136,4.143,4.151 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,36.161,36.761,36.634 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,4879.425,4877.667,4876.77 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,396.957,397.139,397.226 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,89.115,88.965,89.236 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,376.015,376.158,376.06 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,23.89,23.94,23.91 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.08,6.14,6.1 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.39,5.44,5.46 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.86,4.89,4.89 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.42,5.41,5.41 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.01,9,9.04 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.66,1.65,1.67 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,20.36,20.32,20.34 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,86.18,86.11,86.14 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,22.39,22.31,22.37 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,19.32,19.31,19.29 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,40.45,40.43,40.33 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,35.48,35.28,35.49 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,39.78,39.77,39.82 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,9.95,9.93,9.94 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,37.27,37.35,38.4 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,12.79,12.69,12.72 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,16.02,15.08,15.5 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,15.66,16.36,15.62 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,13.03,13.04,13.07 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,25.89,25.85,25.89 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,3.37,3.18,3.45 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,35.04,34.95,34.99 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,196.33,198.23,198.48 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,30.24,30.22,30.23 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,43.69,44,47.9 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,73.74,73.71,73.71 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,76.3,76.19,76.35 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,43.72,43.72,43.72 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,17.6,17.54,17.55 "Natron - Input: Spaceship (FPS)",HIB,0.9,0.8,0.9 "YafaRay - Total Time For Sample Scene (sec)",LIB,437.952,431.793,440.357 "C-Blosc - Compressor: blosclz (MB/s)",HIB,7634.5,7637.4,7623 "Facebook RocksDB - Test: Random Fill (Op/s)",HIB,568223,433007,575703 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,19959469,14590518,19971716 "Facebook RocksDB - Test: Update Random (Op/s)",HIB,252905,192534,254613 "Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,682881,514477,656180 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,908,919,955 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,467675,488190,479233 "Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,624593,621328,624186 "Apache Cassandra - Test: Writes (Op/s)",HIB,23972,22812,23791 "Apache Cassandra - Test: Mixed 1:1 (Op/s)",HIB,20624,15902,20898 "Apache Cassandra - Test: Mixed 1:3 (Op/s)",HIB,21119,15357,20037