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"
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.07,6.73,6.99
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,14.56,12.99,13.09
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,20.27,18.93,20.38
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,7.70,7.26,7.20
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,29.65,28.04,29.24
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,17.77,16.96,17.73
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.56,5.37,5.34
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,24.72,24.40,25.22
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,6.07,5.96,5.89
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,16.73,16.45,16.94
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,5.21,5.14,5.07
"CLOMP - Static OMP Speedup (Speedup)",HIB,26.8,26.2,26.5
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.486440,0.477951,0.479216
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.93,2.88,2.90
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.94,5.97,6.01
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,27.19,27.13,27.41
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.59610,2.58806,2.61350
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.496245,0.491459,0.495733
"Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,10.78,10.69,10.68
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,10.637,10.590,10.549
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,65.363,65.852,65.594
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.867040,0.860663,0.862856
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.14816,3.13707,3.15835
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,43.497,43.236,43.454
"Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,537952.810837,535255.625888,534883.155085
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,164354,163713,
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.974624,0.973874,0.977073
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.24491,1.24781,1.24380
"Timed Eigen Compilation - Time To Compile (sec)",LIB,85.527,85.551,85.784
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.16656,4.16237,4.17445
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,16.731,16.753,16.779
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,921.674,923.438,920.863
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.75497,2.76210,2.75619
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,11.2912,11.2891,11.3162
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1643.22,1645.08,1647.12
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,4.34336,4.34082,4.35080
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.05419,2.05772,2.05675
"Build2 - Time To Compile (sec)",LIB,95.580,95.686,95.528
"Timed HMMer Search - Pfam Database Search (sec)",LIB,174.227,174.169,174.447
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.35358,2.35038,2.34990
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.61346,5.60704,5.60477
"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: f32 - Engine: CPU (ms)",LIB,3.21126,3.20825,3.21278
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1643.59,1645.64,1645.91
"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: bf16bf16bf16 - Engine: CPU (ms)",LIB,1645.61,1643.67,1644.83
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,12.5274,12.5418,12.5335
"Monkey Audio Encoding - WAV To APE (sec)",LIB,17.528,17.535,17.543
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,922.874,923.369,923.336
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.42174,9.42301,9.42277
"simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.58,0.58,0.58
"simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.57,0.57,0.57
"simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.39,0.39,0.39
"simdjson - Throughput Test: Kostya (GB/s)",HIB,0.56,0.56,0.56
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,10.58,9.41,9.49