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:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600
2:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600
3:
Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.30 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 32GB, Disk: Samsung SSD 970 PRO 512GB, Graphics: NVIDIA NV132 11GB, Audio: Realtek ALC1220, Monitor: ASUS VP28U, Network: Intel I219-V + Intel I211
OS: Ubuntu 21.04, Kernel: 5.11.0-17-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 21.0.1, Vulkan: 1.0.2, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 2560x1600
TNN 0.3
Target: CPU - Model: DenseNet
ms < Lower Is Better
1 . 3444.75 |==================================================================
2 . 3444.95 |==================================================================
3 . 3456.84 |==================================================================
Mobile Neural Network 1.2
Model: inception-v3
ms < Lower Is Better
1 . 33.09 |====================================================================
2 . 33.31 |====================================================================
3 . 32.75 |===================================================================
Mobile Neural Network 1.2
Model: mobilenet-v1-1.0
ms < Lower Is Better
1 . 2.757 |====================================================================
2 . 2.721 |===================================================================
3 . 2.716 |===================================================================
Mobile Neural Network 1.2
Model: MobileNetV2_224
ms < Lower Is Better
1 . 3.939 |===================================================================
2 . 3.988 |====================================================================
3 . 3.846 |==================================================================
Mobile Neural Network 1.2
Model: SqueezeNetV1.0
ms < Lower Is Better
1 . 6.124 |====================================================================
2 . 6.157 |====================================================================
3 . 5.886 |=================================================================
Mobile Neural Network 1.2
Model: resnet-v2-50
ms < Lower Is Better
1 . 31.04 |====================================================================
2 . 31.11 |====================================================================
3 . 28.96 |===============================================================
Mobile Neural Network 1.2
Model: squeezenetv1.1
ms < Lower Is Better
1 . 4.890 |====================================================================
2 . 4.763 |==================================================================
3 . 4.465 |==============================================================
Mobile Neural Network 1.2
Model: mobilenetV3
ms < Lower Is Better
1 . 2.445 |===================================================================
2 . 2.467 |====================================================================
3 . 2.271 |===============================================================
NCNN 20210525
Target: CPU - Model: regnety_400m
ms < Lower Is Better
1 . 14.28 |===================================================================
2 . 14.42 |====================================================================
3 . 14.34 |====================================================================
NCNN 20210525
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
1 . 15.97 |===================================================================
2 . 16.22 |====================================================================
3 . 15.86 |==================================================================
NCNN 20210525
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
1 . 23.63 |===================================================================
2 . 23.73 |====================================================================
3 . 23.83 |====================================================================
NCNN 20210525
Target: CPU - Model: resnet50
ms < Lower Is Better
1 . 18.23 |=================================================================
2 . 19.15 |====================================================================
3 . 17.94 |================================================================
NCNN 20210525
Target: CPU - Model: alexnet
ms < Lower Is Better
1 . 9.52 |===================================================================
2 . 9.77 |=====================================================================
3 . 9.43 |===================================================================
NCNN 20210525
Target: CPU - Model: resnet18
ms < Lower Is Better
1 . 11.31 |=================================================================
2 . 11.78 |====================================================================
3 . 11.08 |================================================================
NCNN 20210525
Target: CPU - Model: vgg16
ms < Lower Is Better
1 . 36.66 |===================================================================
2 . 37.21 |====================================================================
3 . 36.33 |==================================================================
NCNN 20210525
Target: CPU - Model: googlenet
ms < Lower Is Better
1 . 12.64 |===============================================================
2 . 13.58 |====================================================================
3 . 12.73 |================================================================
NCNN 20210525
Target: CPU - Model: blazeface
ms < Lower Is Better
1 . 2.50 |====================================================================
2 . 2.52 |=====================================================================
3 . 2.50 |====================================================================
NCNN 20210525
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
1 . 6.46 |====================================================================
2 . 6.53 |====================================================================
3 . 6.58 |=====================================================================
NCNN 20210525
Target: CPU - Model: mnasnet
ms < Lower Is Better
1 . 4.89 |====================================================================
2 . 4.82 |===================================================================
3 . 4.98 |=====================================================================
NCNN 20210525
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
1 . 5.08 |=====================================================================
2 . 5.09 |=====================================================================
3 . 5.10 |=====================================================================
NCNN 20210525
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
1 . 4.67 |===================================================================
2 . 4.73 |====================================================================
3 . 4.79 |=====================================================================
NCNN 20210525
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
1 . 5.27 |=====================================================================
2 . 5.21 |====================================================================
3 . 5.14 |===================================================================
NCNN 20210525
Target: CPU - Model: mobilenet
ms < Lower Is Better
1 . 15.00 |===================================================================
2 . 15.12 |====================================================================
3 . 14.78 |==================================================================
C-Blosc 2.0
Compressor: blosclz
MB/s > Higher Is Better
1 . 12212.2 |==================================================================
2 . 11989.0 |=================================================================
3 . 12033.6 |=================================================================
TNN 0.3
Target: CPU - Model: MobileNet v2
ms < Lower Is Better
1 . 313.38 |===================================================================
2 . 313.43 |===================================================================
3 . 313.30 |===================================================================
TNN 0.3
Target: CPU - Model: SqueezeNet v1.1
ms < Lower Is Better
1 . 278.34 |===================================================================
2 . 278.42 |===================================================================
3 . 278.44 |===================================================================
TNN 0.3
Target: CPU - Model: SqueezeNet v2
ms < Lower Is Better
1 . 67.69 |====================================================================
2 . 67.59 |====================================================================
3 . 67.66 |====================================================================