10885H rav1e 0.4 Intel Core i9-10885H testing with a HP 8736 (S91 Ver. 01.02.01 BIOS) and NVIDIA Quadro RTX 5000 with Max-Q Design 16GB on Ubuntu 20.04 via the Phoronix Test Suite. r1: Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (300/405MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080 r2: Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (300/405MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i9-10885H @ 5.30GHz (8 Cores / 16 Threads), Motherboard: HP 8736 (S91 Ver. 01.02.01 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: 2048GB KXG50PNV2T04 KIOXIA, Graphics: NVIDIA Quadro RTX 5000 with Max-Q Design 16GB (300/405MHz), Audio: Intel Comet Lake PCH cAVS, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 20.04, Kernel: 5.6.0-1034-oem (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.80.02, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080 rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better r1 . 0.375 |=================================================================== r2 . 0.374 |=================================================================== 3 .. 0.374 |=================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better r1 . 1.120 |=================================================================== r2 . 1.124 |=================================================================== 3 .. 1.122 |=================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better r1 . 1.499 |=================================================================== r2 . 1.503 |=================================================================== 3 .. 1.500 |=================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better r1 . 3.577 |=================================================================== r2 . 3.566 |=================================================================== 3 .. 3.588 |=================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better r1 . 8.339 |=================================================================== r2 . 8.306 |=================================================================== 3 .. 8.256 |================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better r1 . 47.47 |=================================================================== r2 . 47.67 |=================================================================== 3 .. 47.54 |=================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better r1 . 4.781 |=================================================================== r2 . 4.805 |=================================================================== 3 .. 4.805 |=================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better r1 . 4.240 |=================================================================== r2 . 4.242 |=================================================================== 3 .. 4.253 |=================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better r1 . 55.94 |=================================================================== r2 . 55.90 |=================================================================== 3 .. 55.90 |===================================================================