Intel Xeon Gold 6226R testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and llvmpipe 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 2012200-HA-XEONGOLD615
Xeon Gold 6226R December
Intel Xeon Gold 6226R testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.
,,"1","2","3"
Processor,,Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads),Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads),Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads)
Motherboard,,Supermicro X11SPL-F v1.02 (3.1 BIOS),Supermicro X11SPL-F v1.02 (3.1 BIOS),Supermicro X11SPL-F v1.02 (3.1 BIOS)
Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers
Memory,,188GB,188GB,188GB
Disk,,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP,3841GB Micron_9300_MTFDHAL3T8TDP
Graphics,,llvmpipe,llvmpipe,llvmpipe
Monitor,,VE228,VE228,VE228
Network,,2 x Intel I210,2 x Intel I210,2 x Intel I210
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.9.0-050900rc6daily20200921-generic (x86_64) 20200920,5.9.0-050900rc6daily20200921-generic (x86_64) 20200920,5.9.0-050900rc6daily20200921-generic (x86_64) 20200920
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,,3.3 Mesa 20.0.8 (LLVM 10.0.0 256 bits),3.3 Mesa 20.0.8 (LLVM 10.0.0 256 bits),3.3 Mesa 20.0.8 (LLVM 10.0.0 256 bits)
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"
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,164354,163713,
"Build2 - Time To Compile (sec)",LIB,95.580,95.686,95.528
"CLOMP - Static OMP Speedup (Speedup)",HIB,26.8,26.2,26.5
"Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,537952.810837,535255.625888,534883.155085
"Monkey Audio Encoding - WAV To APE (sec)",LIB,17.528,17.535,17.543
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,17.77,16.96,17.73
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.07,5.96,5.89
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.21,5.14,5.07
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.94,5.97,6.01
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.56,5.37,5.34
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,7.70,7.26,7.20
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.93,2.88,2.90
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,14.56,12.99,13.09
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,29.65,28.04,29.24
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,10.58,9.41,9.49
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.07,6.73,6.99
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,20.27,18.93,20.38
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,24.72,24.40,25.22
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,16.73,16.45,16.94
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,27.19,27.13,27.41
"Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,10.78,10.69,10.68
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.35358,2.35038,2.34990
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.14816,3.13707,3.15835
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.496245,0.491459,0.495733
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.24491,1.24781,1.24380
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.61346,5.60704,5.60477
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.59610,2.58806,2.61350
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,4.34336,4.34082,4.35080
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.75497,2.76210,2.75619
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,3.21126,3.20825,3.21278
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.16656,4.16237,4.17445
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.526692,0.527252,0.526437
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.867040,0.860663,0.862856
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1643.22,1645.08,1647.12
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,922.992,923.536,922.270
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1643.59,1645.64,1645.91
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.42174,9.42301,9.42277
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,11.2912,11.2891,11.3162
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,12.5274,12.5418,12.5335
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,922.874,923.369,923.336
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.974624,0.973874,0.977073
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1645.61,1643.67,1644.83
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,921.674,923.438,920.863
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.486440,0.477951,0.479216
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.05419,2.05772,2.05675
"simdjson - Throughput Test: Kostya (GB/s)",HIB,0.56,0.56,0.56
"simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.39,0.39,0.39
"simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.57,0.57,0.57
"simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.58,0.58,0.58
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,65.363,65.852,65.594
"Timed Eigen Compilation - Time To Compile (sec)",LIB,85.527,85.551,85.784
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,43.497,43.236,43.454
"Timed HMMer Search - Pfam Database Search (sec)",LIB,174.227,174.169,174.447
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,10.637,10.590,10.549
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,16.731,16.753,16.779