clear 2020 Intel Core i7-8086K testing with a ASUS PRIME Z370-A (1802 BIOS) and ASUS Intel UHD 630 3GB on Clear Linux OS 32480 via the Phoronix Test Suite. 1: Processor: Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z370-A (1802 BIOS), Chipset: Intel 8th Gen Core, Memory: 8GB, Disk: 118GB INTEL SSDPEK1W120GA, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V OS: Clear Linux OS 32480, Kernel: 5.5.6-914.native (x86_64), Desktop: GNOME Shell 3.34.3, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.6 Mesa 20.1.0-devel, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.2.1 20200224 gcc_9_2_0_release-659-gf9be6e10c9 + Clang 9.0.1 + LLVM 9.0.1, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z370-A (1802 BIOS), Chipset: Intel 8th Gen Core, Memory: 8GB, Disk: 118GB INTEL SSDPEK1W120GA, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V OS: Clear Linux OS 32480, Kernel: 5.5.6-914.native (x86_64), Desktop: GNOME Shell 3.34.3, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.6 Mesa 20.1.0-devel, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.2.1 20200224 gcc_9_2_0_release-659-gf9be6e10c9 + Clang 9.0.1 + LLVM 9.0.1, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-8086K @ 5.00GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z370-A (1802 BIOS), Chipset: Intel 8th Gen Core, Memory: 8GB, Disk: 118GB INTEL SSDPEK1W120GA, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC1220, Monitor: G237HL, Network: Intel I219-V OS: Clear Linux OS 32480, Kernel: 5.5.6-914.native (x86_64), Desktop: GNOME Shell 3.34.3, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.6 Mesa 20.1.0-devel, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.2.1 20200224 gcc_9_2_0_release-659-gf9be6e10c9 + Clang 9.0.1 + LLVM 9.0.1, File-System: ext4, Screen Resolution: 1920x1080 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 251.39 |================================================================== 2 . 250.23 |================================================================== 3 . 253.56 |=================================================================== GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better 1 . 610 |===================================================================== 2 . 623 |====================================================================== 3 . 615 |===================================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 1 . 2.18175 |================================================================== 2 . 2.18116 |================================================================== 3 . 2.18034 |================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 16.76 |==================================================================== 2 . 16.81 |==================================================================== 3 . 16.71 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 24505.44 |================================================================= 2 . 24309.55 |================================================================ 3 . 24629.73 |================================================================= Incompact3D 2020-09-17 Input: Cylinder Seconds < Lower Is Better 1 . 149.50 |=================================================================== 2 . 148.38 |================================================================== 3 . 149.24 |=================================================================== Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Seconds < Lower Is Better 1 . 210 |===================================================================== 2 . 210 |===================================================================== 3 . 212 |====================================================================== LAMMPS Molecular Dynamics Simulator 24Aug2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 5.081 |=================================================================== 2 . 5.126 |==================================================================== 3 . 5.099 |==================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.225 |==================================================================== 2 . 1.226 |==================================================================== 3 . 1.229 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 1.967 |==================================================================== 2 . 1.963 |==================================================================== 3 . 1.962 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 13.30 |==================================================================== 2 . 13.30 |==================================================================== 3 . 13.31 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 5.858 |==================================================================== 2 . 5.852 |==================================================================== 3 . 5.855 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 29.23 |==================================================================== 2 . 29.33 |==================================================================== 3 . 29.43 |==================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 64062832.1 |=============================================================== 2 . 63797422.5 |=============================================================== 3 . 63681103.0 |=============================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 53.54 |==================================================================== 2 . 53.31 |==================================================================== 3 . 53.58 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 24.39 |==================================================================== 2 . 24.31 |==================================================================== 3 . 24.47 |==================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 20.29 |==================================================================== 2 . 20.30 |==================================================================== 3 . 20.30 |==================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 546805.67 |================================================================ 2 . 546086.82 |=============================================================== 3 . 550939.61 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.798 |==================================================================== 2 . 0.796 |==================================================================== 3 . 0.801 |==================================================================== Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 6.456 |==================================================================== 2 . 6.457 |==================================================================== 3 . 6.483 |==================================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better 1 . 37.47 |=================================================================== 2 . 37.59 |==================================================================== 3 . 37.82 |==================================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.881 |=================================================================== 2 . 3.925 |==================================================================== 3 . 3.929 |==================================================================== Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 6.215 |=================================================================== 2 . 6.277 |==================================================================== 3 . 6.249 |==================================================================== Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better 1 . 42.94 |=================================================================== 2 . 43.45 |==================================================================== 3 . 43.51 |==================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 15.60 |=================================================================== 2 . 15.73 |==================================================================== 3 . 15.73 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 19.89 |==================================================================== 2 . 19.92 |==================================================================== 3 . 19.99 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.66 |==================================================================== 2 . 5.73 |===================================================================== 3 . 5.69 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.47 |=================================================================== 2 . 4.59 |===================================================================== 3 . 4.54 |==================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 3.50 |===================================================================== 2 . 3.49 |===================================================================== 3 . 3.44 |==================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 4.41 |===================================================================== 2 . 4.44 |===================================================================== 3 . 4.43 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 7.39 |==================================================================== 2 . 7.41 |===================================================================== 3 . 7.45 |===================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.42 |===================================================================== 2 . 1.40 |==================================================================== 3 . 1.41 |===================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 15.04 |=================================================================== 2 . 15.11 |==================================================================== 3 . 15.17 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 70.44 |==================================================================== 2 . 70.54 |==================================================================== 3 . 70.71 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 14.77 |==================================================================== 2 . 14.69 |==================================================================== 3 . 14.70 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 16.18 |==================================================================== 2 . 16.24 |==================================================================== 3 . 16.21 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 30.84 |=================================================================== 2 . 30.98 |==================================================================== 3 . 31.15 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 28.20 |==================================================================== 2 . 28.29 |==================================================================== 3 . 28.19 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 15.72 |==================================================================== 2 . 15.67 |==================================================================== 3 . 15.78 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 20.10 |==================================================================== 2 . 19.85 |=================================================================== 3 . 20.05 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.65 |==================================================================== 2 . 5.73 |===================================================================== 3 . 5.68 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.53 |===================================================================== 2 . 4.56 |===================================================================== 3 . 4.50 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 3.45 |==================================================================== 2 . 3.52 |===================================================================== 3 . 3.46 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 4.42 |===================================================================== 2 . 4.43 |===================================================================== 3 . 4.42 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 7.42 |===================================================================== 2 . 7.39 |==================================================================== 3 . 7.45 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 1.41 |==================================================================== 2 . 1.43 |===================================================================== 3 . 1.39 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 15.02 |=================================================================== 2 . 15.15 |==================================================================== 3 . 15.19 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 70.60 |==================================================================== 2 . 70.38 |==================================================================== 3 . 70.90 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 14.73 |==================================================================== 2 . 14.70 |==================================================================== 3 . 14.76 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 16.17 |==================================================================== 2 . 16.20 |==================================================================== 3 . 16.20 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 31.05 |==================================================================== 2 . 31.01 |==================================================================== 3 . 31.07 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 28.18 |==================================================================== 2 . 28.31 |==================================================================== 3 . 28.19 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 283.19 |=================================================================== 2 . 282.24 |=================================================================== 3 . 281.36 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 267.34 |=================================================================== 2 . 267.78 |=================================================================== 3 . 267.73 |=================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 491552123.11 |============================================================= 2 . 491707769.65 |============================================================= 3 . 490960412.30 |============================================================= Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 33.64 |==================================================================== 2 . 33.18 |=================================================================== 3 . 33.18 |=================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 64.62 |==================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 20.78 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 2.46 |=====================================================================