7100 Intel Linux 2020 Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 19.10 via the Phoronix Test Suite. 1: Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc1daily20200822-generic (x86_64) 20200821, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc1daily20200822-generic (x86_64) 20200821, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc1daily20200822-generic (x86_64) 20200821, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 267.25 |=================================================================== 2 . 267.12 |=================================================================== 3 . 266.68 |=================================================================== VkFFT 2020-09-29 Benchmark Score > Higher Is Better 1 . 1044 |===================================================================== 3 . 1038 |===================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 22.19 |==================================================================== 2 . 22.18 |==================================================================== 3 . 22.20 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 11406.70 |================================================================= 2 . 11363.65 |================================================================= 3 . 11324.23 |================================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 116.03 |=================================================================== 2 . 116.10 |=================================================================== 3 . 116.13 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 14.82 |==================================================================== 2 . 14.61 |=================================================================== 3 . 14.65 |=================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 37888403.1 |============================================================== 2 . 38195936.3 |=============================================================== 3 . 38223781.6 |=============================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 175725.28 |================================================================ 2 . 174840.06 |================================================================ 3 . 175860.04 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.307 |=================================================================== 2 . 0.308 |==================================================================== 3 . 0.310 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 72826 |==================================================================== 2 . 73086 |==================================================================== 3 . 73107 |==================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 162388 |=================================================================== 2 . 162360 |=================================================================== 3 . 162397 |=================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 35.82 |==================================================================== 2 . 35.89 |==================================================================== 3 . 35.90 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 42.79 |==================================================================== 2 . 42.79 |==================================================================== 3 . 42.80 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 10.54 |==================================================================== 2 . 10.53 |==================================================================== 3 . 10.54 |==================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 9.16 |===================================================================== 2 . 9.17 |===================================================================== 3 . 9.17 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 6.31 |==================================================================== 2 . 6.35 |===================================================================== 3 . 6.36 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 9.74 |===================================================================== 2 . 9.71 |===================================================================== 3 . 9.69 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 15.12 |==================================================================== 2 . 15.15 |==================================================================== 3 . 15.13 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.66 |===================================================================== 2 . 2.64 |==================================================================== 3 . 2.64 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 31.68 |==================================================================== 2 . 31.65 |==================================================================== 3 . 31.72 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 113.67 |=================================================================== 2 . 113.32 |=================================================================== 3 . 113.42 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 30.88 |==================================================================== 2 . 30.89 |==================================================================== 3 . 30.90 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 26.28 |==================================================================== 2 . 26.44 |==================================================================== 3 . 26.39 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 68.07 |==================================================================== 2 . 68.04 |==================================================================== 3 . 68.14 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 58.11 |==================================================================== 2 . 58.11 |==================================================================== 3 . 58.10 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 46.93 |==================================================================== 2 . 46.82 |==================================================================== 3 . 46.87 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 41.81 |==================================================================== 2 . 41.51 |=================================================================== 3 . 42.04 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 13.05 |==================================================================== 2 . 13.03 |==================================================================== 3 . 13.04 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 14.40 |==================================================================== 2 . 14.33 |==================================================================== 3 . 14.27 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 9.98 |===================================================================== 2 . 9.09 |=============================================================== 3 . 9.10 |=============================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 13.29 |==================================================================== 2 . 13.24 |==================================================================== 3 . 13.25 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 26.91 |==================================================================== 2 . 26.83 |==================================================================== 3 . 26.83 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 3.42 |=================================================================== 2 . 3.50 |===================================================================== 3 . 3.52 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 37.31 |==================================================================== 2 . 37.24 |==================================================================== 3 . 37.24 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 216.40 |=================================================================== 2 . 216.21 |=================================================================== 3 . 216.82 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 32.17 |==================================================================== 2 . 32.10 |==================================================================== 3 . 32.09 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 44.55 |==================================================================== 2 . 44.74 |==================================================================== 3 . 44.51 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 78.21 |==================================================================== 2 . 78.16 |==================================================================== 3 . 78.18 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 87.55 |==================================================================== 2 . 87.53 |==================================================================== 3 . 87.49 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 357.34 |=================================================================== 2 . 356.92 |=================================================================== 3 . 356.87 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 343.96 |=================================================================== 2 . 344.13 |=================================================================== 3 . 343.98 |=================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 385662243.57 |============================================================= 2 . 383181946.27 |============================================================= 3 . 384848414.21 |============================================================= Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 67.81 |==================================================================== 2 . 67.73 |==================================================================== 3 . 68.12 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 112.08 |================================================================== 2 . 112.22 |================================================================== 3 . 113.67 |=================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 17.07 |==================================================================== 2 . 17.09 |==================================================================== 3 . 17.06 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 7.03 |==================================================================== 2 . 7.18 |===================================================================== 3 . 7.07 |==================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 27.78 |==================================================================== 2 . 27.92 |==================================================================== 3 . 27.86 |====================================================================