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
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