Intel Core i9-11900K testing with a ASUS ROG MAXIMUS XIII HERO (0707 BIOS) and AMD Radeon VII 16GB on Fedora 34 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 2106186-IB-11900KNN693
11900k nn
Intel Core i9-11900K testing with a ASUS ROG MAXIMUS XIII HERO (0707 BIOS) and AMD Radeon VII 16GB on Fedora 34 via the Phoronix Test Suite.
1:
Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0707 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600 + 257GB Flash Drive, Graphics: AMD Radeon VII 16GB (1801/1000MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Fedora 34, Kernel: 5.12.9-300.fc34.x86_64 (x86_64), Desktop: GNOME Shell 40.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.1.1 (LLVM 12.0.0), Compiler: GCC 11.1.1 20210531 + Clang 12.0.0, File-System: btrfs, Screen Resolution: 3840x2160
2:
Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0707 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600 + 257GB Flash Drive, Graphics: AMD Radeon VII 16GB (1801/1000MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Fedora 34, Kernel: 5.12.9-300.fc34.x86_64 (x86_64), Desktop: GNOME Shell 40.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.1.1 (LLVM 12.0.0), Compiler: GCC 11.1.1 20210531 + Clang 12.0.0, File-System: btrfs, Screen Resolution: 3840x2160
3:
Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0707 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600 + 257GB Flash Drive, Graphics: AMD Radeon VII 16GB (1801/1000MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Fedora 34, Kernel: 5.12.9-300.fc34.x86_64 (x86_64), Desktop: GNOME Shell 40.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.1.1 (LLVM 12.0.0), Compiler: GCC 11.1.1 20210531 + Clang 12.0.0, File-System: btrfs, Screen Resolution: 3840x2160
4:
Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0707 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600 + 257GB Flash Drive, Graphics: AMD Radeon VII 16GB (1801/1000MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Fedora 34, Kernel: 5.12.9-300.fc34.x86_64 (x86_64), Desktop: GNOME Shell 40.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.1.1 (LLVM 12.0.0), Compiler: GCC 11.1.1 20210531 + Clang 12.0.0, File-System: btrfs, Screen Resolution: 3840x2160
5:
Processor: Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG MAXIMUS XIII HERO (0707 BIOS), Chipset: Intel Tiger Lake-H, Memory: 32GB, Disk: 2000GB Corsair Force MP600 + 257GB Flash Drive, Graphics: AMD Radeon VII 16GB (1801/1000MHz), Audio: Intel Tiger Lake-H HD Audio, Monitor: ASUS MG28U, Network: 2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Fedora 34, Kernel: 5.12.9-300.fc34.x86_64 (x86_64), Desktop: GNOME Shell 40.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.1.1 (LLVM 12.0.0), Compiler: GCC 11.1.1 20210531 + Clang 12.0.0, File-System: btrfs, Screen Resolution: 3840x2160
TNN 0.3
Target: CPU - Model: DenseNet
ms < Lower Is Better
1 . 2729.92 |==================================================================
2 . 2742.15 |==================================================================
3 . 2732.99 |==================================================================
4 . 2725.75 |==================================================================
5 . 2729.32 |==================================================================
Mobile Neural Network 1.2
Model: inception-v3
ms < Lower Is Better
1 . 25.03 |====================================================================
2 . 24.94 |====================================================================
3 . 24.99 |====================================================================
4 . 25.09 |====================================================================
5 . 24.97 |====================================================================
Mobile Neural Network 1.2
Model: mobilenet-v1-1.0
ms < Lower Is Better
1 . 1.789 |====================================================================
2 . 1.785 |====================================================================
3 . 1.786 |====================================================================
4 . 1.779 |====================================================================
5 . 1.773 |===================================================================
Mobile Neural Network 1.2
Model: MobileNetV2_224
ms < Lower Is Better
1 . 1.920 |====================================================================
2 . 1.906 |===================================================================
3 . 1.933 |====================================================================
4 . 1.929 |====================================================================
5 . 1.922 |====================================================================
Mobile Neural Network 1.2
Model: SqueezeNetV1.0
ms < Lower Is Better
1 . 3.714 |===================================================================
2 . 3.692 |===================================================================
3 . 3.732 |====================================================================
4 . 3.754 |====================================================================
5 . 3.699 |===================================================================
Mobile Neural Network 1.2
Model: resnet-v2-50
ms < Lower Is Better
1 . 18.40 |====================================================================
2 . 18.43 |====================================================================
3 . 18.48 |====================================================================
4 . 18.47 |====================================================================
5 . 18.40 |====================================================================
Mobile Neural Network 1.2
Model: squeezenetv1.1
ms < Lower Is Better
1 . 2.309 |===================================================================
2 . 2.298 |===================================================================
3 . 2.327 |====================================================================
4 . 2.326 |====================================================================
5 . 2.316 |====================================================================
Mobile Neural Network 1.2
Model: mobilenetV3
ms < Lower Is Better
1 . 1.054 |====================================================================
2 . 1.054 |====================================================================
3 . 1.052 |====================================================================
4 . 1.055 |====================================================================
5 . 1.052 |====================================================================
NCNN 20210525
Target: CPU - Model: regnety_400m
ms < Lower Is Better
1 . 6.18 |=====================================================================
2 . 6.12 |====================================================================
3 . 6.14 |=====================================================================
4 . 6.13 |====================================================================
5 . 6.08 |====================================================================
NCNN 20210525
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
1 . 15.90 |====================================================================
2 . 15.83 |====================================================================
3 . 15.80 |====================================================================
4 . 15.80 |====================================================================
5 . 15.84 |====================================================================
NCNN 20210525
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
1 . 19.85 |==================================================================
2 . 19.38 |=================================================================
3 . 19.54 |=================================================================
4 . 19.08 |================================================================
5 . 20.33 |====================================================================
NCNN 20210525
Target: CPU - Model: resnet50
ms < Lower Is Better
1 . 19.42 |====================================================================
2 . 19.18 |===================================================================
3 . 18.94 |==================================================================
4 . 19.00 |===================================================================
5 . 18.94 |==================================================================
NCNN 20210525
Target: CPU - Model: alexnet
ms < Lower Is Better
1 . 9.92 |=====================================================================
2 . 9.93 |=====================================================================
3 . 9.93 |=====================================================================
4 . 9.90 |=====================================================================
5 . 9.94 |=====================================================================
NCNN 20210525
Target: CPU - Model: resnet18
ms < Lower Is Better
1 . 11.55 |====================================================================
2 . 11.21 |==================================================================
3 . 11.03 |=================================================================
4 . 11.03 |=================================================================
5 . 11.24 |==================================================================
NCNN 20210525
Target: CPU - Model: vgg16
ms < Lower Is Better
1 . 55.16 |====================================================================
2 . 55.09 |====================================================================
3 . 54.95 |====================================================================
4 . 54.96 |====================================================================
5 . 54.92 |====================================================================
NCNN 20210525
Target: CPU - Model: googlenet
ms < Lower Is Better
1 . 10.62 |====================================================================
2 . 10.35 |==================================================================
3 . 10.37 |==================================================================
4 . 10.35 |==================================================================
5 . 10.38 |==================================================================
NCNN 20210525
Target: CPU - Model: blazeface
ms < Lower Is Better
1 . 1.10 |=====================================================================
2 . 1.07 |===================================================================
3 . 1.08 |====================================================================
4 . 1.08 |====================================================================
5 . 1.06 |==================================================================
NCNN 20210525
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
1 . 4.60 |=====================================================================
2 . 4.60 |=====================================================================
3 . 4.61 |=====================================================================
4 . 4.59 |=====================================================================
5 . 4.58 |=====================================================================
NCNN 20210525
Target: CPU - Model: mnasnet
ms < Lower Is Better
1 . 2.58 |====================================================================
2 . 2.60 |====================================================================
3 . 2.62 |=====================================================================
4 . 2.60 |====================================================================
5 . 2.58 |====================================================================
NCNN 20210525
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
1 . 2.56 |=====================================================================
2 . 2.55 |====================================================================
3 . 2.57 |=====================================================================
4 . 2.57 |=====================================================================
5 . 2.55 |====================================================================
NCNN 20210525
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
1 . 2.83 |=====================================================================
2 . 2.81 |=====================================================================
3 . 2.82 |=====================================================================
4 . 2.81 |=====================================================================
5 . 2.79 |====================================================================
NCNN 20210525
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
1 . 3.62 |====================================================================
2 . 3.59 |===================================================================
3 . 3.68 |=====================================================================
4 . 3.58 |===================================================================
5 . 3.58 |===================================================================
NCNN 20210525
Target: CPU - Model: mobilenet
ms < Lower Is Better
1 . 13.01 |===================================================================
2 . 12.86 |===================================================================
3 . 13.02 |===================================================================
4 . 12.88 |===================================================================
5 . 13.15 |====================================================================
TNN 0.3
Target: CPU - Model: MobileNet v2
ms < Lower Is Better
1 . 247.95 |===================================================================
2 . 247.98 |===================================================================
3 . 247.96 |===================================================================
4 . 247.97 |===================================================================
5 . 247.97 |===================================================================
TNN 0.3
Target: CPU - Model: SqueezeNet v1.1
ms < Lower Is Better
1 . 236.36 |===================================================================
2 . 236.41 |===================================================================
3 . 236.58 |===================================================================
4 . 236.65 |===================================================================
5 . 236.69 |===================================================================
TNN 0.3
Target: CPU - Model: SqueezeNet v2
ms < Lower Is Better
1 . 47.58 |====================================================================
2 . 47.64 |====================================================================
3 . 47.54 |====================================================================
4 . 47.65 |====================================================================
5 . 47.57 |====================================================================