8550u new Intel Core i7-8550U testing with a Dell 0H0VG3 (1.10.0 BIOS) and Intel UHD 620 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-8550U @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0H0VG3 (1.10.0 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 8GB, Disk: PM961 NVMe SAMSUNG 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac 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 i7-8550U @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0H0VG3 (1.10.0 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 8GB, Disk: PM961 NVMe SAMSUNG 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac 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 i7-8550U @ 4.00GHz (4 Cores / 8 Threads), Motherboard: Dell 0H0VG3 (1.10.0 BIOS), Chipset: Intel Xeon E3-1200 v6/7th, Memory: 8GB, Disk: PM961 NVMe SAMSUNG 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac 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 Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 218.72 |=================================================================== 2 . 217.25 |================================================================== 3 . 219.93 |=================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 38990263.8 |=============================================================== 2 . 38895934.1 |=============================================================== 3 . 39014677.5 |=============================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 93380 |==================================================================== 2 . 93729 |==================================================================== 3 . 93695 |==================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 235909 |=================================================================== 2 . 236015 |=================================================================== 3 . 235896 |=================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 20.64 |==================================================================== 2 . 20.78 |==================================================================== 3 . 20.78 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 14778.47 |================================================================= 2 . 14655.77 |================================================================ 3 . 14548.17 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.346 |==================================================================== 2 . 0.346 |==================================================================== 3 . 0.347 |==================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 392696659.10 |============================================================= 2 . 393046249.21 |============================================================= 3 . 393911190.14 |============================================================= KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 264963.59 |================================================================ 2 . 265054.99 |================================================================ 3 . 264744.78 |================================================================ LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 420 |====================================================================== 2 . 418 |====================================================================== 3 . 414 |===================================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 381 |=================================================================== 2 . 396 |====================================================================== 3 . 394 |====================================================================== LeelaChessZero 0.26 Backend: Random Nodes Per Second > Higher Is Better 1 . 159268 |=================================================================== 2 . 158555 |=================================================================== 3 . 158929 |=================================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 102.15 |=================================================================== 2 . 102.04 |=================================================================== 3 . 100.52 |================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 132.47 |=========================================================== 2 . 135.07 |============================================================= 3 . 149.17 |=================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 29.04 |==================================================================== 2 . 28.92 |==================================================================== 3 . 28.98 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 4.98 |==================================================================== 2 . 4.88 |=================================================================== 3 . 5.02 |===================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 32.37 |==================================================================== 2 . 32.26 |==================================================================== 3 . 32.29 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 39.89 |==================================================================== 2 . 39.61 |==================================================================== 3 . 39.61 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 10.07 |==================================================================== 2 . 10.09 |==================================================================== 3 . 10.05 |==================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 8.46 |===================================================================== 2 . 8.51 |===================================================================== 3 . 8.45 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 6.61 |===================================================================== 2 . 6.57 |===================================================================== 3 . 6.53 |==================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 9.34 |===================================================================== 2 . 9.33 |===================================================================== 3 . 9.33 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 14.52 |==================================================================== 2 . 14.59 |==================================================================== 3 . 14.50 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 3.01 |===================================================================== 2 . 3.03 |===================================================================== 3 . 3.00 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 32.41 |==================================================================== 2 . 32.18 |==================================================================== 3 . 32.15 |=================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 123.98 |=================================================================== 2 . 124.02 |=================================================================== 3 . 124.04 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 30.42 |==================================================================== 2 . 30.45 |==================================================================== 3 . 30.41 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 32.72 |=================================================================== 2 . 32.98 |==================================================================== 3 . 32.78 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 58.85 |==================================================================== 2 . 58.86 |==================================================================== 3 . 58.93 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 52.86 |==================================================================== 2 . 52.87 |==================================================================== 3 . 52.59 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 44.47 |==================================================================== 2 . 44.53 |==================================================================== 3 . 44.53 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 37.95 |==================================================================== 2 . 38.01 |==================================================================== 3 . 37.80 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 12.27 |==================================================================== 2 . 12.27 |==================================================================== 3 . 12.26 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 13.88 |==================================================================== 2 . 13.79 |=================================================================== 3 . 13.93 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 11.30 |================================================================== 2 . 11.69 |==================================================================== 3 . 11.24 |================================================================= NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 12.53 |==================================================================== 2 . 12.56 |==================================================================== 3 . 12.56 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 25.26 |==================================================================== 2 . 25.29 |==================================================================== 3 . 25.27 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 2.65 |===================================================================== 2 . 2.52 |================================================================== 3 . 2.55 |================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 34.33 |==================================================================== 2 . 34.35 |==================================================================== 3 . 34.34 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 200.64 |=================================================================== 2 . 201.17 |=================================================================== 3 . 201.27 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 30.26 |==================================================================== 2 . 30.31 |==================================================================== 3 . 30.29 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 48.87 |=================================================================== 2 . 49.60 |==================================================================== 3 . 48.96 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 73.46 |==================================================================== 2 . 73.63 |==================================================================== 3 . 73.59 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 76.27 |==================================================================== 2 . 76.16 |==================================================================== 3 . 76.41 |==================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 123.03 |=================================================================== 2 . 123.55 |=================================================================== 3 . 123.58 |=================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 368.74 |================================================================== 2 . 373.91 |=================================================================== 3 . 370.16 |================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 336.45 |=================================================================== 2 . 336.31 |=================================================================== 3 . 335.93 |===================================================================