7100 july

Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 KBL GT2 3GB on Ubuntu 20.10 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 2107307-IB-7100JULY994
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Creator Workloads 2 Tests
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1
July 30 2021
  3 Hours, 7 Minutes
Gigabyte Intel HD 630 KBL GT2
July 30 2021
  3 Hours, 1 Minute
33
July 30 2021
  3 Hours, 3 Minutes
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7100 july Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 KBL GT2 3GB on Ubuntu 20.10 via the Phoronix Test Suite. ,,"1","Gigabyte Intel HD 630 KBL GT2","33" Processor,,Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads),Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads),Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads) Motherboard,,Gigabyte B250M-DS3H-CF (F9 BIOS),Gigabyte B250M-DS3H-CF (F9 BIOS),Gigabyte B250M-DS3H-CF (F9 BIOS) Chipset,,Intel Xeon E3-1200 v6/7th + B250,Intel Xeon E3-1200 v6/7th + B250,Intel Xeon E3-1200 v6/7th + B250 Memory,,8GB,8GB,8GB Disk,,250GB Western Digital WDS250G1B0A-,250GB Western Digital WDS250G1B0A-,250GB Western Digital WDS250G1B0A- Graphics,,Gigabyte Intel HD 630 KBL GT2 3GB (1100MHz),Gigabyte Intel HD 630 KBL GT2 3GB (1100MHz),Gigabyte Intel HD 630 KBL GT2 3GB (1100MHz) Audio,,Realtek ALC887-VD,Realtek ALC887-VD,Realtek ALC887-VD Monitor,,DELL S2409W,DELL S2409W,DELL S2409W Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 20.10,Ubuntu 20.10,Ubuntu 20.10 Kernel,,5.8.0-55-generic (x86_64),5.8.0-55-generic (x86_64),5.8.0-55-generic (x86_64) Desktop,,GNOME Shell 3.38.1,GNOME Shell 3.38.1,GNOME Shell 3.38.1 Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9 OpenGL,,4.6 Mesa 20.2.1,4.6 Mesa 20.2.1,4.6 Mesa 20.2.1 Vulkan,,1.2.145,1.2.145,1.2.145 Compiler,,GCC 10.2.0,GCC 10.2.0,GCC 10.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"1","Gigabyte Intel HD 630 KBL GT2","33" "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: High (FPS)",HIB,89.1,90.1,90.2 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Ultra (FPS)",HIB,42.9,42.9,42.9 "Unvanquished - Resolution: 1920 x 1080 - Effects Quality: Medium (FPS)",HIB,118.1,117.1,117.7 "C-Blosc - Compressor: blosclz (MB/s)",HIB,6507.3,6498.3,6577.3 "Renaissance - Test: Scala Dotty (ms)",LIB,1625.0,1562.2,1583.2 "Renaissance - Test: Random Forest (ms)",LIB,1049.5,1050.9,1053.7 "Renaissance - Test: ALS Movie Lens (ms)",LIB,9997.0,10004.9,9886.2 "Renaissance - Test: Apache Spark ALS (ms)",LIB,6800.2,6679.7,6728.8 "Renaissance - Test: Apache Spark Bayes (ms)",LIB,12063.6,12161.5,14308.2 "Renaissance - Test: Savina Reactors.IO (ms)",LIB,8160.0,8196.0,8181.0 "Renaissance - Test: Apache Spark PageRank (ms)",LIB,6151.1,5552.3,6041.8 "Renaissance - Test: Finagle HTTP Requests (ms)",LIB,2329.9,2382.2,2373.3 "Renaissance - Test: In-Memory Database Shootout (ms)",LIB,6006.3,6004.7,5986.2 "Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,14319.8,14144.2,14563.3 "Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,1511.2,1453.5,1524.2 "YafaRay - Total Time For Sample Scene (sec)",LIB,679.499,678.271,677.404 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.692,2.692,2.713 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,5.841,5.893,5.901 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,53.967,53.64,54.439 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,10.211,10.285,10.27 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.334,5.38,5.394 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,7.018,7.018,7.05 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,64.633,64.87,64.59 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,35.89,36.32,35.79 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,9.06,9.06,9.1 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,7.89,7.89,7.9 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,6.52,6.52,6.51 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,8.25,8.2,8.22 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,13.33,13.33,13.35 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.61,2.61,2.6 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,29.47,29.46,29.38 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,110.92,110.58,110.79 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,30.48,30.47,30.35 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,24.79,24.77,24.74 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,58.4,58.52,58.39 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,50.92,51.44,50.95 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,46.02,46.23,46.02 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,13.76,13.75,13.75 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,26.46,25.72,25.86 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,9.69,8.73,9.28 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,15.67,15.43,15.38 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,15.39,15.31,15.22 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,9.37,8.89,11.2 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,17.68,17.65,17.61 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,2.61,2.6,2.61 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,24.26,24.23,24.23 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,163.69,163.46,163.29 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,23.9,23.99,24 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,25.12,25.23,25.48 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,51.37,51.31,51.45 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,62.41,65.77,64.71 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,29.72,30.02,29.66 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,15.74,15.8,15.85 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,5833.925,5813.432,5819.581 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,377.85,379.748,387.125 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,79.706,80.437,79.787 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,340.383,340.679,340.361 "Apache Cassandra - Test: Reads (Op/s)",HIB,18100,18084,18104 "Apache Cassandra - Test: Writes (Op/s)",HIB,19033,18929,19242 "Apache Cassandra - Test: Mixed 1:1 (Op/s)",HIB,15310,15449,15125 "Apache Cassandra - Test: Mixed 1:3 (Op/s)",HIB,14819,15577,15884 "Facebook RocksDB - Test: Random Fill (Op/s)",HIB,448856,441688,455908 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,10864759,10792104,10586553 "Facebook RocksDB - Test: Update Random (Op/s)",HIB,170352,173184,168920 "Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,543278,538678,534693 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,1050,1105,1082 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,344861,348257,338919 "Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,459712,463659,458075 "Natron - Input: Spaceship (FPS)",HIB,0.6,0.6,0.5