AMD Ryzen Threadripper 2970WX 24-Core testing with a Gigabyte X399 AORUS Gaming 7 (F12h BIOS) and Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB 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 2108019-IB-2970WXJUL61
2970WX July
AMD Ryzen Threadripper 2970WX 24-Core testing with a Gigabyte X399 AORUS Gaming 7 (F12h BIOS) and Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"1","2","3","4","5"
Processor,,AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads)
Motherboard,,Gigabyte X399 AORUS Gaming 7 (F12h BIOS),Gigabyte X399 AORUS Gaming 7 (F12h BIOS),Gigabyte X399 AORUS Gaming 7 (F12h BIOS),Gigabyte X399 AORUS Gaming 7 (F12h BIOS),Gigabyte X399 AORUS Gaming 7 (F12h BIOS)
Chipset,,AMD 17h,AMD 17h,AMD 17h,AMD 17h,AMD 17h
Memory,,16GB,16GB,16GB,16GB,16GB
Disk,,120GB Corsair Force MP500,120GB Corsair Force MP500,120GB Corsair Force MP500,120GB Corsair Force MP500,120GB Corsair Force MP500
Graphics,,Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz),Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz),Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz),Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz),Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz)
Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220
Monitor,,VA2431,VA2431,VA2431,VA2431,VA2431
Network,,Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275,Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275,Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275,Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275,Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.9.0-050900rc6daily20200926-generic (x86_64) 20200925,5.9.0-050900rc6daily20200926-generic (x86_64) 20200925,5.9.0-050900rc6daily20200926-generic (x86_64) 20200925,5.9.0-050900rc6daily20200926-generic (x86_64) 20200925,5.9.0-050900rc6daily20200926-generic (x86_64) 20200925
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,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,X Server 1.20.9,X Server 1.20.9
OpenGL,,4.6 Mesa 20.2.6 (LLVM 11.0.0),4.6 Mesa 20.2.6 (LLVM 11.0.0),4.6 Mesa 20.2.6 (LLVM 11.0.0),4.6 Mesa 20.2.6 (LLVM 11.0.0),4.6 Mesa 20.2.6 (LLVM 11.0.0)
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080
,,"1","2","3","4","5"
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,44.83,56.06,47.96,51.53,31.22
"Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,16365,17701,12380,20282,19465
"Apache Cassandra - Test: Reads (Op/s)",HIB,91943,105525,138409,102666,106201
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,24.56,26.93,22.99,27.83,32.93
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,68.54,53.95,50.1,54.6,67.92
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,9.868,8.954,8.024,10.299,9.974
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,97.15,87.61,80.57,98.93,83.42
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,5.165,4.324,5.225,4.359,4.266
"Natron - Input: Spaceship (FPS)",HIB,3.4,3.2,3.3,3.2,2.8
"Renaissance - Test: Apache Spark PageRank (ms)",LIB,5088.7,5443.7,5041.3,4485.8,5102.0
"Facebook RocksDB - Test: Random Fill (Op/s)",HIB,559506,629001,558560,563861,524031
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,42.91,36.43,38.83,41.15,41.54
"Renaissance - Test: Scala Dotty (ms)",LIB,1132.9,1111.5,1038.3,968.0,965.4
"Apache Cassandra - Test: Mixed 1:3 (Op/s)",HIB,97181,105086,112837,96271,111614
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,12.281,11.024,11.363,12.684,12.806
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,35.87,30.9,31.94,33.67,31.59
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,3.11,3.1,2.97,3.03,3.44
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,44.868,50.67,46.243,46.475,46.217
"Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,629253,593316,654095,586679,662215
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,52,47.08,49.51,49.12,48.67
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,7.707,8.046,7.615,7.59,7.292
"Apache Cassandra - Test: Mixed 1:1 (Op/s)",HIB,107795,98990,105033,109065,105682
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,12.19,12.86,11.84,12.29,11.71
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,14,12.78,13.56,13.81,13.53
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,5.79,5.33,5.58,5.61,5.53
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,13.01,13.65,12.74,12.59,13.56
"Renaissance - Test: Savina Reactors.IO (ms)",LIB,12292.6,12326.5,11693.4,12667.5,11704.2
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,29.59,31.08,28.71,28.82,28.75
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,59.53,61.552,59.596,59.249,57.156
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,38.7,36.84,36.1,36.25,36.55
"Renaissance - Test: Apache Spark ALS (ms)",LIB,2359.6,2279.6,2305.2,2202.1,2220.6
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,13.47,13.18,14.09,13.19,13.25
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,17.03,16.06,17.12,16.68,16.52
"Renaissance - Test: Apache Spark Bayes (ms)",LIB,1209.1,1184.2,1180.9,1162.1,1231.9
"Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,3684442,3795875,3593614,3656007,3634278
"Apache Cassandra - Test: Writes (Op/s)",HIB,137190,130153,131113,131846,130920
"Renaissance - Test: In-Memory Database Shootout (ms)",LIB,6178.5,6439.5,6178.3,6142.0,6457.2
"Renaissance - Test: Finagle HTTP Requests (ms)",LIB,4099.4,3906.7,4055.7,4040.6,4006.9
"Facebook RocksDB - Test: Random Read (Op/s)",HIB,105202520,106197835,107926092,110355654,108371044
"Facebook RocksDB - Test: Update Random (Op/s)",HIB,516006,518649,497709,498715,515847
"Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,1929291,2007692,1985772,1986790,1986640
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,13.38,13.53,13.02,13.28,13.5
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,5.114,4.948,5.109,5.011,4.996
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,7.35,7.43,7.59,7.39,7.35
"Renaissance - Test: Random Forest (ms)",LIB,920.0,892.7,902.9,911.1,891.3
"Renaissance - Test: Genetic Algorithm Using Jenetics + Futures (ms)",LIB,2665.9,2700.4,2679.7,2620.0,2660.0
"YafaRay - Total Time For Sample Scene (sec)",LIB,96.086,98.403,98.825,98.453,96.467
"Renaissance - Test: Akka Unbalanced Cobwebbed Tree (ms)",LIB,21703.7,21813.4,21476.3,22068.2,21886.5
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.56,5.6,5.61,5.5,5.46
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,7.05,7.11,6.99,6.92,7.06
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,11.31,11.34,11.58,11.38,11.28
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,10.19,10.37,10.12,10.34,10.15
"TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,72.115,72.513,71.38,71.217,72.72
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,13.12,12.92,13.17,12.98,12.97
"Renaissance - Test: ALS Movie Lens (ms)",LIB,9836.8,9878.2,10001.3,9814.8,9857.0
"C-Blosc - Compressor: blosclz (MB/s)",HIB,15950.7,15733,15895.6,16025.3,15930.8
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,15.48,15.27,15.26,15.21,15.3
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,256.355,256.485,256.321,256.303,260.288
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,5.85,5.83,5.91,5.88,5.86
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,10.29,10.43,10.39,10.33,10.38
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,20,20.24,20,19.98,20.01
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,4.97,4.97,4.97,4.93,4.99
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,15.32,15.16,15.32,15.2,15.23
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,28.93,29.1,28.8,29.06,28.9
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,306.266,305.278,306.189,305.568,304.27
"TNN - Target: CPU - Model: DenseNet (ms)",LIB,3034.7,3023.791,3026.058,3035.013,3035.692
"GravityMark - Resolution: 1920 x 1080 - Renderer: Vulkan (FPS)",HIB,33.2,33.2,33.2,33.2,33.2