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
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"
"Natron - Input: Spaceship (FPS)",HIB,0.6,0.6,0.5
"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
"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
"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
"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
"YafaRay - Total Time For Sample Scene (sec)",LIB,679.499,678.271,677.404