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.

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
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June 18 2021
  1 Hour, 11 Minutes
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June 18 2021
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June 18 2021
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June 18 2021
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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","2","3","4","5" Processor,,Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads),Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads),Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads),Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads),Intel Core i9-11900K @ 5.10GHz (8 Cores / 16 Threads) Motherboard,,ASUS ROG MAXIMUS XIII HERO (0707 BIOS),ASUS ROG MAXIMUS XIII HERO (0707 BIOS),ASUS ROG MAXIMUS XIII HERO (0707 BIOS),ASUS ROG MAXIMUS XIII HERO (0707 BIOS),ASUS ROG MAXIMUS XIII HERO (0707 BIOS) Chipset,,Intel Tiger Lake-H,Intel Tiger Lake-H,Intel Tiger Lake-H,Intel Tiger Lake-H,Intel Tiger Lake-H Memory,,32GB,32GB,32GB,32GB,32GB Disk,,2000GB Corsair Force MP600 + 257GB Flash Drive,2000GB Corsair Force MP600 + 257GB Flash Drive,2000GB Corsair Force MP600 + 257GB Flash Drive,2000GB Corsair Force MP600 + 257GB Flash Drive,2000GB Corsair Force MP600 + 257GB Flash Drive Graphics,,AMD Radeon VII 16GB (1801/1000MHz),AMD Radeon VII 16GB (1801/1000MHz),AMD Radeon VII 16GB (1801/1000MHz),AMD Radeon VII 16GB (1801/1000MHz),AMD Radeon VII 16GB (1801/1000MHz) Audio,,Intel Tiger Lake-H HD Audio,Intel Tiger Lake-H HD Audio,Intel Tiger Lake-H HD Audio,Intel Tiger Lake-H HD Audio,Intel Tiger Lake-H HD Audio Monitor,,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U,ASUS MG28U Network,,2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411,2 x Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS,,Fedora 34,Fedora 34,Fedora 34,Fedora 34,Fedora 34 Kernel,,5.12.9-300.fc34.x86_64 (x86_64),5.12.9-300.fc34.x86_64 (x86_64),5.12.9-300.fc34.x86_64 (x86_64),5.12.9-300.fc34.x86_64 (x86_64),5.12.9-300.fc34.x86_64 (x86_64) Desktop,,GNOME Shell 40.1,GNOME Shell 40.1,GNOME Shell 40.1,GNOME Shell 40.1,GNOME Shell 40.1 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 21.1.1 (LLVM 12.0.0),4.6 Mesa 21.1.1 (LLVM 12.0.0),4.6 Mesa 21.1.1 (LLVM 12.0.0),4.6 Mesa 21.1.1 (LLVM 12.0.0),4.6 Mesa 21.1.1 (LLVM 12.0.0) Compiler,,GCC 11.1.1 20210531 + Clang 12.0.0,GCC 11.1.1 20210531 + Clang 12.0.0,GCC 11.1.1 20210531 + Clang 12.0.0,GCC 11.1.1 20210531 + Clang 12.0.0,GCC 11.1.1 20210531 + Clang 12.0.0 File-System,,btrfs,btrfs,btrfs,btrfs,btrfs Screen Resolution,,3840x2160,3840x2160,3840x2160,3840x2160,3840x2160 ,,"1","2","3","4","5" "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.054,1.054,1.052,1.055,1.052 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.309,2.298,2.327,2.326,2.316 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,18.396,18.431,18.482,18.473,18.401 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,3.714,3.692,3.732,3.754,3.699 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,1.920,1.906,1.933,1.929,1.922 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,1.789,1.785,1.786,1.779,1.773 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,25.027,24.935,24.994,25.093,24.973 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,2729.915,2742.152,2732.992,2725.751,2729.318 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,247.946,247.981,247.957,247.968,247.967 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,47.581,47.644,47.541,47.651,47.569 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,236.356,236.412,236.576,236.648,236.689 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,13.01,12.86,13.02,12.88,13.15 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,3.62,3.59,3.68,3.58,3.58 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.83,2.81,2.82,2.81,2.79 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.56,2.55,2.57,2.57,2.55 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,2.58,2.60,2.62,2.6,2.58 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,4.60,4.60,4.61,4.59,4.58 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.10,1.07,1.08,1.08,1.06 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,10.62,10.35,10.37,10.35,10.38 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,55.16,55.09,54.95,54.96,54.92 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,11.55,11.21,11.03,11.03,11.24 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,9.92,9.93,9.93,9.90,9.94 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,19.42,19.18,18.94,19.00,18.94 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,19.85,19.38,19.54,19.08,20.33 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,15.90,15.83,15.80,15.80,15.84 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,6.18,6.12,6.14,6.13,6.08