8100 Intel Core i3 Linux Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel 8th Gen Core Gaussian Mixture Model 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i3-8100 @ 3.60GHz (4 Cores), Motherboard: ASRock Z370M-ITX/ac (P4.10 BIOS), Chipset: Intel 8th Gen Core 4-core Desktop, Memory: 8GB, Disk: 60GB DREVO X1 SSD, Graphics: Intel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz), Audio: Realtek ALC892, Monitor: VA2431, Network: Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i3-8100 @ 3.60GHz (4 Cores), Motherboard: ASRock Z370M-ITX/ac (P4.10 BIOS), Chipset: Intel 8th Gen Core 4-core Desktop, Memory: 8GB, Disk: 60GB DREVO X1 SSD, Graphics: Intel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz), Audio: Realtek ALC892, Monitor: VA2431, Network: Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i3-8100 @ 3.60GHz (4 Cores), Motherboard: ASRock Z370M-ITX/ac (P4.10 BIOS), Chipset: Intel 8th Gen Core 4-core Desktop, Memory: 8GB, Disk: 60GB DREVO X1 SSD, Graphics: Intel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz), Audio: Realtek ALC892, Monitor: VA2431, Network: Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGW OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200819-generic (x86_64) 20200818, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 250.64 |=================================================================== 2 . 250.42 |=================================================================== 3 . 250.58 |=================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 939 |===================================================================== 2 . 944 |===================================================================== 3 . 959 |====================================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 902 |===================================================================== 2 . 893 |===================================================================== 3 . 911 |====================================================================== LeelaChessZero 0.26 Backend: Random Nodes Per Second > Higher Is Better 1 . 240816 |=================================================================== 2 . 241071 |=================================================================== 3 . 240592 |=================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 22.80 |==================================================================== 2 . 22.73 |==================================================================== 3 . 22.74 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 19448.14 |================================================================= 2 . 19239.68 |================================================================ 3 . 19206.93 |================================================================ Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 126.14 |=================================================================== 2 . 126.14 |=================================================================== 3 . 126.19 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 12.06 |==================================================================== 2 . 12.14 |==================================================================== 3 . 12.04 |=================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.867 |==================================================================== 2 . 1.865 |==================================================================== 3 . 1.866 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 2.935 |==================================================================== 2 . 2.930 |==================================================================== 3 . 2.933 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 21.53 |==================================================================== 2 . 21.46 |==================================================================== 3 . 21.44 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 8.783 |==================================================================== 2 . 8.750 |==================================================================== 3 . 8.754 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 50.98 |==================================================================== 2 . 51.10 |==================================================================== 3 . 51.21 |==================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 35583808.2 |=============================================================== 2 . 35652755.4 |=============================================================== 3 . 35085353.6 |============================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 24.48 |==================================================================== 2 . 24.44 |==================================================================== 3 . 24.43 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 34.78 |============================================== 2 . 35.51 |============================================== 3 . 51.93 |==================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 188.83 |================================================================ 2 . 192.70 |================================================================= 3 . 198.55 |=================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 273760.53 |================================================================ 2 . 270281.26 |=============================================================== 3 . 270228.34 |=============================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.509 |=================================================================== 2 . 0.520 |==================================================================== 3 . 0.515 |=================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 34832 |==================================================================== 2 . 34817 |==================================================================== 3 . 34817 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 69577 |==================================================================== 2 . 69582 |==================================================================== 3 . 69483 |==================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 85352 |==================================================================== 2 . 85366 |==================================================================== 3 . 85438 |==================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 173170 |=================================================================== 2 . 170836 |================================================================== 3 . 171312 |================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 24.75 |==================================================================== 2 . 24.71 |==================================================================== 3 . 24.72 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 28.36 |==================================================================== 2 . 28.32 |==================================================================== 3 . 28.38 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 7.15 |===================================================================== 2 . 7.15 |===================================================================== 3 . 7.15 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.35 |===================================================================== 2 . 6.35 |===================================================================== 3 . 6.36 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.47 |===================================================================== 2 . 4.47 |===================================================================== 3 . 4.48 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 6.50 |===================================================================== 2 . 6.50 |===================================================================== 3 . 6.50 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 10.30 |==================================================================== 2 . 10.33 |==================================================================== 3 . 10.31 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.77 |===================================================================== 2 . 1.76 |===================================================================== 3 . 1.76 |===================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 24.72 |==================================================================== 2 . 24.73 |==================================================================== 3 . 24.79 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 90.48 |==================================================================== 2 . 88.71 |=================================================================== 3 . 88.76 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 25.69 |==================================================================== 2 . 25.67 |==================================================================== 3 . 25.58 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 23.84 |==================================================================== 2 . 23.82 |=================================================================== 3 . 24.00 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 48.51 |==================================================================== 2 . 48.48 |==================================================================== 3 . 48.54 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 42.21 |==================================================================== 2 . 42.16 |==================================================================== 3 . 42.25 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 43.34 |==================================================================== 2 . 43.27 |==================================================================== 3 . 43.23 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 38.00 |==================================================================== 2 . 37.75 |==================================================================== 3 . 37.71 |=================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 12.36 |==================================================================== 2 . 12.36 |==================================================================== 3 . 12.36 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 13.65 |==================================================================== 2 . 13.64 |==================================================================== 3 . 13.62 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 8.63 |===================================================================== 2 . 8.61 |===================================================================== 3 . 8.61 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 12.60 |==================================================================== 2 . 12.58 |==================================================================== 3 . 12.58 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 25.49 |==================================================================== 2 . 25.46 |==================================================================== 3 . 25.46 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 2.95 |===================================================================== 2 . 2.77 |================================================================= 3 . 2.78 |================================================================= NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 34.66 |==================================================================== 2 . 34.64 |==================================================================== 3 . 34.64 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 197.87 |=================================================================== 2 . 198.06 |=================================================================== 3 . 197.78 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 29.92 |==================================================================== 2 . 29.92 |==================================================================== 3 . 29.93 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 45.28 |==================================================================== 2 . 45.27 |==================================================================== 3 . 45.16 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 73.36 |==================================================================== 2 . 73.37 |==================================================================== 3 . 73.36 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 76.05 |==================================================================== 2 . 76.09 |==================================================================== 3 . 76.10 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 360.91 |=================================================================== 2 . 361.40 |=================================================================== 3 . 361.82 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 372.02 |=================================================================== 2 . 371.82 |=================================================================== 3 . 371.85 |=================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 362585787.02 |============================================================= 2 . 361612815.49 |============================================================= 3 . 362494358.44 |============================================================= Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 58.73 |=================================================================== 2 . 59.29 |==================================================================== 3 . 59.60 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 75.66 |=================================================================== 2 . 76.53 |==================================================================== 3 . 75.90 |=================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 29.09 |==================================================================== 2 . 29.07 |==================================================================== 3 . 29.06 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 4.27 |===================================================================== 2 . 4.19 |=================================================================== 3 . 4.29 |===================================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 843649.2 |================================================================= 2 . 827692.2 |================================================================ 3 . 342313.8 |========================== InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 953921.4 |================================================================= 2 . 793797.4 |====================================================== 3 . 684847.8 |===============================================