10980xe eo june

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 21.04 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 2106288-IB-10980XEEO77
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June 28 2021
  1 Hour, 35 Minutes
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June 28 2021
  1 Hour, 35 Minutes
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June 28 2021
  31 Minutes
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10980xe eo june Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 21.04 via the Phoronix Test Suite. ,,"1","2","3" Processor,,Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads) Motherboard,,ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS) Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers Memory,,32GB,32GB,32GB Disk,,Samsung SSD 970 PRO 512GB,Samsung SSD 970 PRO 512GB,Samsung SSD 970 PRO 512GB Graphics,,NVIDIA NV132 11GB,NVIDIA NV132 11GB,NVIDIA NV132 11GB Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220 Monitor,,ASUS VP28U,ASUS VP28U,ASUS VP28U Network,,Intel I219-V + Intel I211,Intel I219-V + Intel I211,Intel I219-V + Intel I211 OS,,Ubuntu 21.04,Ubuntu 21.04,Ubuntu 21.04 Kernel,,5.11.0-17-generic (x86_64),5.11.0-17-generic (x86_64),5.11.0-17-generic (x86_64) Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4,GNOME Shell 3.38.4 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland Display Driver,,nouveau,nouveau,nouveau OpenGL,,4.3 Mesa 21.0.1,4.3 Mesa 21.0.1,4.3 Mesa 21.0.1 Vulkan,,1.0.2,1.0.2,1.0.2 Compiler,,GCC 10.3.0,GCC 10.3.0,GCC 10.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,2560x1600,2560x1600,2560x1600 ,,"1","2","3" "C-Blosc - Compressor: blosclz (MB/s)",HIB,12212.2,11989.0,12033.6 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,2.445,2.467,2.271 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,4.890,4.763,4.465 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,31.035,31.108,28.955 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,6.124,6.157,5.886 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.939,3.988,3.846 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.757,2.721,2.716 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,33.086,33.308,32.749 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,15.00,15.12,14.78 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,5.27,5.21,5.14 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.67,4.73,4.79 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.08,5.09,5.1 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,4.89,4.82,4.98 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,6.46,6.53,6.58 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.50,2.52,2.5 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,12.64,13.58,12.73 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,36.66,37.21,36.33 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,11.31,11.78,11.08 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,9.52,9.77,9.43 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,18.23,19.15,17.94 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,23.63,23.73,23.83 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,15.97,16.22,15.86 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,14.28,14.42,14.34 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,3444.748,3444.946,3456.844 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,313.376,313.433,313.303 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,67.685,67.592,67.656 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,278.338,278.419,278.437