Intel Core i9-9900K testing with a ASRock Z390M Pro4 (P4.20 BIOS) and Intel UHD 630 3GB 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 2101060-HA-9900KMNN716
9900k-mnn
Intel Core i9-9900K testing with a ASRock Z390M Pro4 (P4.20 BIOS) and Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"1","2","3"
Processor,,Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads),Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads),Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads)
Motherboard,,ASRock Z390M Pro4 (P4.20 BIOS),ASRock Z390M Pro4 (P4.20 BIOS),ASRock Z390M Pro4 (P4.20 BIOS)
Chipset,,Intel Cannon Lake PCH,Intel Cannon Lake PCH,Intel Cannon Lake PCH
Memory,,16GB,16GB,16GB
Disk,,240GB Corsair Force MP510,240GB Corsair Force MP510,240GB Corsair Force MP510
Graphics,,Intel UHD 630 3GB (1200MHz),Intel UHD 630 3GB (1200MHz),Intel UHD 630 3GB (1200MHz)
Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892
Monitor,,G237HL,G237HL,G237HL
Network,,Intel I219-V,Intel I219-V,Intel I219-V
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818,5.9.0-050900rc1daily20200819-generic (x86_64) 20200818
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4
Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8
Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8
OpenGL,,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4
OpenCL,,OpenCL 2.1,OpenCL 2.1,OpenCL 2.1
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"1","2","3"
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,31.965,31.851,31.940
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.665,2.615,2.660
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,2.801,2.922,2.819
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,27.495,27.863,27.545
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,4.990,4.959,4.945