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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2101121-HA-10885HMON55
10885h-monday1
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.
1:
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, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080
1a:
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 (600/6000MHz), 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, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080
2:
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, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, 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 (600/6000MHz), 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, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1920x1080
LAMMPS Molecular Dynamics Simulator 29Oct2020
Model: 20k Atoms
ns/day > Higher Is Better
1 . 3.972 |====================================================================
2 . 3.964 |====================================================================
3 . 3.980 |====================================================================
LAMMPS Molecular Dynamics Simulator 29Oct2020
Model: Rhodopsin Protein
ns/day > Higher Is Better
1 . 5.155 |====================================================================
2 . 5.135 |====================================================================
3 . 5.140 |====================================================================
Mobile Neural Network 1.1.1
Model: SqueezeNetV1.0
ms < Lower Is Better
1 . 8.277 |================================================================
2 . 8.270 |================================================================
3 . 8.794 |====================================================================
Mobile Neural Network 1.1.1
Model: resnet-v2-50
ms < Lower Is Better
1 . 47.35 |====================================================================
2 . 47.43 |====================================================================
3 . 47.48 |====================================================================
Mobile Neural Network 1.1.1
Model: MobileNetV2_224
ms < Lower Is Better
1 . 4.776 |====================================================================
2 . 4.769 |===================================================================
3 . 4.810 |====================================================================
Mobile Neural Network 1.1.1
Model: mobilenet-v1-1.0
ms < Lower Is Better
1 . 4.227 |====================================================================
2 . 4.216 |====================================================================
3 . 4.236 |====================================================================
Mobile Neural Network 1.1.1
Model: inception-v3
ms < Lower Is Better
1 . 55.95 |====================================================================
2 . 55.84 |====================================================================
3 . 55.69 |====================================================================
LULESH 2.0.3
z/s > Higher Is Better
1a . 4182.76 |=================================================================
2 .. 4142.71 |================================================================
3 .. 4143.70 |================================================================