9750h sat Intel Core i7-9750H testing with a Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560 OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, 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, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560 OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, 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, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-9750H @ 4.50GHz (6 Cores / 12 Threads), Motherboard: Notebook P95_96_97Ex Rx (1.07.13MIN29 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 32GB, Disk: 1000GB Samsung SSD 970 EVO Plus 1TB, Graphics: Intel UHD 630 3GB (1150MHz), Audio: Realtek ALC1220, Network: Realtek RTL8111/8168/8411 + Intel-AC 9560 OS: Ubuntu 20.04, Kernel: 5.7.0-999-generic (x86_64) 20200530, 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, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 700.95 |=================================================================== 2 . 698.68 |=================================================================== 3 . 700.64 |=================================================================== CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 160.65 |================================================================== 2 . 161.75 |=================================================================== 3 . 162.14 |=================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.241 |==================================================================== 2 . 7.079 |================================================================== 3 . 7.252 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 51.56 |==================================================================== 2 . 51.07 |=================================================================== 3 . 51.77 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.038 |==================================================================== 2 . 3.952 |================================================================== 3 . 4.048 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.927 |==================================================================== 2 . 4.721 |================================================================= 3 . 4.917 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 55.61 |==================================================================== 2 . 55.05 |=================================================================== 3 . 55.72 |==================================================================== ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 282 |====================================================================== 2 . 275 |==================================================================== 3 . 277 |===================================================================== ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 403 |====================================================================== 2 . 401 |====================================================================== 3 . 394 |==================================================================== ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 43 |==================================================================== 2 . 45 |======================================================================= 3 . 45 |======================================================================= ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 10472 |==================================================== 2 . 13665 |=================================================================== 3 . 13803 |==================================================================== ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 2927 |===================================================================== 2 . 2933 |===================================================================== 3 . 2937 |===================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 333.49 |=================================================================== 2 . 329.27 |================================================================== 3 . 332.18 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 302.21 |=================================================================== 2 . 302.29 |=================================================================== 3 . 302.72 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 4.635 |==================================================================== 2 . 4.636 |==================================================================== 3 . 4.624 |==================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 224243800 |================================================================ 2 . 222973933 |================================================================ 3 . 224201967 |================================================================ Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 36528293 |================================================================= 2 . 35900180 |================================================================ 3 . 35381353 |=============================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1384.34 |================================================================== 2 . 1393.29 |================================================================== 3 . 1393.35 |================================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 298.06 |================================================================== 2 . 298.74 |=================================================================== 3 . 300.91 |=================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 1304.49 |================================================================== 2 . 1305.94 |================================================================== 3 . 1304.66 |================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 2253.07 |================================================================= 2 . 2241.91 |================================================================= 3 . 2285.68 |================================================================== CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1308.13 |================================================================== 2 . 1314.20 |================================================================== 3 . 1304.49 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 467.90 |================================================================== 2 . 475.37 |=================================================================== 3 . 475.11 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 114.79 |================================================================== 2 . 116.35 |=================================================================== 3 . 115.39 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 429.98 |================================================================= 2 . 442.08 |=================================================================== 3 . 429.84 |================================================================= dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 85.84 |=================================================================== 2 . 87.08 |==================================================================== 3 . 86.32 |=================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.389 |==================================================================== 2 . 0.388 |==================================================================== 3 . 0.390 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.154 |==================================================================== 2 . 1.143 |=================================================================== 3 . 1.144 |=================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.525 |==================================================================== 2 . 1.511 |=================================================================== 3 . 1.513 |=================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 3.465 |==================================================================== 2 . 3.408 |=================================================================== 3 . 3.472 |==================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 252.57 |=================================================================== 2 . 253.01 |=================================================================== 3 . 254.36 |===================================================================