8565U Monday Intel Core i7-8565U testing with a Dell 0KTW76 (1.0.0 BIOS) and Intel UHD 620 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.0.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: PC401 NVMe SK hynix 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.0.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: PC401 NVMe SK hynix 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-8565U @ 4.60GHz (4 Cores / 8 Threads), Motherboard: Dell 0KTW76 (1.0.0 BIOS), Chipset: Intel Cannon Point-LP, Memory: 16GB, Disk: PC401 NVMe SK hynix 256GB, Graphics: Intel UHD 620 3GB (1150MHz), Audio: Realtek ALC3271, Network: Qualcomm Atheros QCA6174 802.11ac OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, 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 . 16.83 |=================================================================== 2 . 16.86 |=================================================================== 3 . 17.01 |==================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 402 |====================================================================== 2 . 375 |================================================================= 3 . 376 |================================================================= LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 393 |====================================================================== 2 . 359 |================================================================ 3 . 358 |================================================================ LeelaChessZero 0.26 Backend: Random Nodes Per Second > Higher Is Better 1 . 162558 |=================================================================== 2 . 155574 |================================================================ 3 . 155116 |================================================================ Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 19.86 |================================================================= 2 . 20.44 |=================================================================== 3 . 20.76 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 14955.25 |================================================================= 2 . 13669.48 |=========================================================== 3 . 13988.36 |============================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 115.83 |================================================================ 2 . 119.82 |================================================================== 3 . 121.43 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 14.23 |================================================================ 2 . 15.01 |==================================================================== 3 . 14.90 |==================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 41388503.2 |=============================================================== 2 . 41285586.6 |=============================================================== 3 . 41275405.5 |=============================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 219.60 |=============================================================== 2 . 232.58 |================================================================== 3 . 235.27 |=================================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.350 |==================================================================== 2 . 0.349 |==================================================================== 3 . 0.346 |=================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 104649 |=================================================================== 2 . 104160 |=================================================================== 3 . 104862 |=================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 209370 |=================================================================== 2 . 210394 |=================================================================== 3 . 210101 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 258236 |=================================================================== 2 . 259823 |=================================================================== 3 . 258993 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 516263 |=================================================================== 2 . 517125 |=================================================================== 3 . 519953 |=================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 33.77 |==================================================================== 2 . 33.68 |==================================================================== 3 . 33.70 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 39.88 |==================================================================== 2 . 39.88 |==================================================================== 3 . 39.96 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 9.66 |===================================================================== 2 . 9.67 |===================================================================== 3 . 9.65 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 8.75 |===================================================================== 2 . 8.74 |===================================================================== 3 . 8.72 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 6.44 |==================================================================== 2 . 6.45 |==================================================================== 3 . 6.50 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 9.30 |===================================================================== 2 . 9.30 |===================================================================== 3 . 9.27 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 14.42 |==================================================================== 2 . 14.48 |==================================================================== 3 . 14.34 |=================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 3.01 |===================================================================== 2 . 3.02 |===================================================================== 3 . 2.97 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 31.98 |==================================================================== 2 . 32.05 |==================================================================== 3 . 32.04 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 112.25 |=================================================================== 2 . 112.74 |=================================================================== 3 . 112.26 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 29.91 |==================================================================== 2 . 30.13 |==================================================================== 3 . 29.92 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 32.37 |==================================================================== 2 . 32.56 |==================================================================== 3 . 31.70 |================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 58.20 |==================================================================== 2 . 58.07 |==================================================================== 3 . 58.22 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 52.38 |==================================================================== 2 . 52.34 |==================================================================== 3 . 52.39 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 113.17 |=================================================================== 2 . 113.23 |=================================================================== 3 . 112.73 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 109.79 |=================================================================== 2 . 109.95 |=================================================================== 3 . 109.75 |=================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 39.98 |==================================================================== 2 . 39.69 |==================================================================== 3 . 39.53 |=================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 44.16 |==================================================================== 2 . 43.77 |=================================================================== 3 . 44.12 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 27.27 |==================================================================== 2 . 27.22 |==================================================================== 3 . 26.95 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 41.05 |==================================================================== 2 . 41.11 |==================================================================== 3 . 41.01 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 79.43 |=================================================================== 2 . 80.51 |==================================================================== 3 . 80.43 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 7.24 |===================================================================== 2 . 7.26 |===================================================================== 3 . 7.26 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 100.19 |=================================================================== 2 . 99.97 |=================================================================== 3 . 99.97 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 264.91 |=================================================================== 2 . 266.39 |=================================================================== 3 . 264.49 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 93.52 |==================================================================== 2 . 93.48 |==================================================================== 3 . 93.58 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 111.97 |=================================================================== 2 . 110.69 |================================================================== 3 . 111.37 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 145.94 |=================================================================== 2 . 146.21 |=================================================================== 3 . 145.98 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 152.72 |=================================================================== 2 . 152.19 |=================================================================== 3 . 152.35 |=================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 354.31 |================================================================== 2 . 354.24 |================================================================== 3 . 358.29 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 321.30 |=================================================================== 2 . 321.59 |=================================================================== 3 . 321.34 |=================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 413697236.17 |============================================================= 2 . 413895480.90 |============================================================= 3 . 415027165.81 |============================================================= Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 105.60 |=================================================================== 2 . 102.04 |================================================================= 3 . 102.85 |================================================================= Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 128.63 |================================================================== 2 . 130.89 |=================================================================== 3 . 129.82 |================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 27.01 |==================================================================== 2 . 26.85 |==================================================================== 3 . 26.77 |=================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 4.91 |================================================================== 2 . 5.12 |===================================================================== 3 . 5.11 |=====================================================================