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.

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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" "Apache Cassandra - Test: Mixed 1:3 (Op/s)",HIB,21119,15357,20037 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,19959469,14590518,19971716 "Facebook RocksDB - Test: Random Fill (Op/s)",HIB,568223,433007,575703 "Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,682881,514477,656180 "Facebook RocksDB - Test: Update Random (Op/s)",HIB,252905,192534,254613 "Apache Cassandra - Test: Mixed 1:1 (Op/s)",HIB,20624,15902,20898 "Natron - Input: Spaceship (FPS)",HIB,0.9,0.8,0.9 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,43.69,44,47.9 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,3.37,3.18,3.45 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,4042.7,4069.5,4359.1 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,16.02,15.08,15.5 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,908,919,955 "Apache Cassandra - Test: Writes (Op/s)",HIB,23972,22812,23791 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,15.66,16.36,15.62 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,467675,488190,479233 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,1779.7,1795.0,1856.1 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,9208.8,9022.7,9316.2 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,37.27,37.35,38.4 "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 "Renaissance - Test: Random Forest (ms)",LIB,830.1,820.9,837.3 "YafaRay - Total Time For Sample Scene (sec)",LIB,437.952,431.793,440.357 "Renaissance - Test: ALS Movie Lens (ms)",LIB,8168.0,8025.9,8047.5 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,36.161,36.761,36.634 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,10732.4,10574.9,10728.6 "Renaissance - Test: Scala Dotty (ms)",LIB,1121.8,1131.4,1115.7 "Renaissance - Test: Apache Spark ALS (ms)",LIB,4600.1,4660.3,4603.9 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.39,5.44,5.46 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.395,3.421,3.438 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.66,1.65,1.67 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,196.33,198.23,198.48 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.08,6.14,6.1 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,12.79,12.69,12.72 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.731,1.726,1.739 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.67,5.63,5.628 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,7815.1,7849.3,7866.5 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.86,4.89,4.89 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,35.48,35.28,35.49 "Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,624593,621328,624186 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,4547.9,4527.2,4541.9 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,9.01,9,9.04 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,4.136,4.143,4.151 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,22.39,22.31,22.37 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,17.6,17.54,17.55 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,13.03,13.04,13.07 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,89.115,88.965,89.236 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,40.45,40.43,40.33 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,35.04,34.95,34.99 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,1651.4,1653.9,1655.0 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,76.3,76.19,76.35 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,23.89,23.94,23.91 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,9.95,9.93,9.94 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,20.36,20.32,20.34 "C-Blosc - Compressor: blosclz (MB/s)",HIB,7634.5,7637.4,7623 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.42,5.41,5.41 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,19.32,19.31,19.29 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,25.89,25.85,25.89 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,39.78,39.77,39.82 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,86.18,86.11,86.14 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,396.957,397.139,397.226 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,30.24,30.22,30.23 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,4879.425,4877.667,4876.77 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,73.74,73.71,73.71 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,376.015,376.158,376.06 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,43.72,43.72,43.72