Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 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 2209028-PTS-CXLESEP292
cxle sep 2022
Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.
,,"A","B","C"
Processor,,Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)
Motherboard,,ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS),ASRock X299 Steel Legend (P1.30 BIOS)
Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers
Memory,,32GB,32GB,32GB
Disk,,Samsung SSD 970 PRO 512GB,Samsung SSD 970 PRO 512GB,Samsung SSD 970 PRO 512GB
Graphics,,llvmpipe,llvmpipe,llvmpipe
Audio,,Realtek ALC1220,Realtek ALC1220,Realtek ALC1220
Network,,Intel I219-V + Intel I211,Intel I219-V + Intel I211,Intel I219-V + Intel I211
OS,,Ubuntu 22.04,Ubuntu 22.04,Ubuntu 22.04
Kernel,,5.19.0-051900rc7-generic (x86_64),5.19.0-051900rc7-generic (x86_64),5.19.0-051900rc7-generic (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3
OpenGL,,4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits),4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits),4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits)
Vulkan,,1.2.204,1.2.204,1.2.204
Compiler,,GCC 11.2.0,GCC 11.2.0,GCC 11.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1024x768,1024x768,1024x768
,,"A","B","C"
"Mobile Neural Network - Model: nasnet (ms)",LIB,14.957,14.512,
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.984,2.01,
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.671,2.388,
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,9.821,9.525,
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.127,4.606,
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.849,3.688,
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.792,2.585,
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,22.495,22.42,
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,6.18,6.41,
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1443.73,1400.04,
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,3.39,3.48,
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2626.86,2555.32,
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,3.49,3.49,
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2542.39,2545.61,
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,155.6,155.26,
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,57.78,57.91,
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,23.29,23.29,
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,385.68,385.95,
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,1020.4,1039.07,
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,8.8,8.64,
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,753.52,757.32,
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,23.84,23.72,
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,64.55,64.54,
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,139.31,139.34,
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,2474.62,2476.8,
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,7.26,7.25,
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,532.75,497.47,
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,16.86,18.06,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,17825.32,17723.69,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.99,1,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,32619.64,32100.57,
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.5,0.52,
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,116952,118795,117179
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,102464,101358,101803
"Timed PHP Compilation - Time To Compile (sec)",LIB,57.561,57.32,
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,677,672,672
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,771,795,794
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,212,212,212
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,350,349,349
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1480,1472,1479
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,386,383,378
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,891,866,878
"Natron - Input: Spaceship (FPS)",HIB,3.8,4.1,
"Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,7.475,7.527,7.426
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,17.664,17.699,
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,276.266,276.312,
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,103.484,102.901,
"Timed Node.js Compilation - Time To Compile (sec)",LIB,376.628,377.2,
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,55.762,55.598,