9750H 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. Laptop 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 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Laptop 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 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Laptop 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 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better Laptop 1 . 3.44922 |========================================================== Laptop 2 . 3.46910 |=========================================================== Laptop 3 . 3.49233 |=========================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better Laptop 1 . 367846 |============================================================ Laptop 2 . 367670 |============================================================ Laptop 3 . 368804 |============================================================ TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better Laptop 1 . 5358583 |=========================================================== Laptop 2 . 5342883 |=========================================================== Laptop 3 . 5355280 |=========================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better Laptop 1 . 321171 |============================================================ Laptop 2 . 321092 |============================================================ Laptop 3 . 320720 |============================================================ TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better Laptop 1 . 253671 |============================================================ Laptop 2 . 254321 |============================================================ Laptop 3 . 255161 |============================================================ TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better Laptop 1 . 257833 |=========================================================== Laptop 2 . 258416 |============================================================ Laptop 3 . 260067 |============================================================ TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better Laptop 1 . 4834603 |=========================================================== Laptop 2 . 4845673 |=========================================================== Laptop 3 . 4840253 |===========================================================