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.

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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 |====================================================================