xeon platinum 8280 2023

Tests for a future article. 2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED on Ubuntu 21.04 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 2301061-NE-XEONPLATI67
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C/C++ Compiler Tests 2 Tests
CPU Massive 3 Tests
Creator Workloads 6 Tests
Database Test Suite 2 Tests
Encoding 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 6 Tests
Intel oneAPI 3 Tests
Server 2 Tests
Video Encoding 2 Tests

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January 06 2023
  3 Hours, 31 Minutes
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January 06 2023
  3 Hours, 33 Minutes
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xeon platinum 8280 2023 Tests for a future article. 2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED on Ubuntu 21.04 via the Phoronix Test Suite. ,,"a","b" Processor,,2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads),2 x Intel Xeon Platinum 8280 @ 4.00GHz (56 Cores / 112 Threads) Motherboard,,GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS),GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers Memory,,384GB,384GB Disk,,280GB INTEL SSDPED1D280GA,280GB INTEL SSDPED1D280GA Graphics,,ASPEED,ASPEED Monitor,,VE228,VE228 Network,,2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE,2 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE OS,,Ubuntu 21.04,Ubuntu 21.04 Kernel,,5.11.0-49-generic (x86_64),5.11.0-49-generic (x86_64) Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4 Display Server,,X Server,X Server Compiler,,GCC 10.3.0,GCC 10.3.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,8.82,8.87 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,9.06,9.08 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,33.06,33.25 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,34.2,33.56 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,17.02,16.99 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,22.36,22.48 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,25.91,25.98 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,73.05,69.55 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,97.08,94.9 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,119.74,118.28 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,7.71,7.69 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,8.4,8.46 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,23.33,23.69 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,25.25,25.28 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,18.86,18.75 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,22.08,22.03 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,21.65,21.03 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,59.51,59.8 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,68.3,67.77 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,79.04,79.21 "OpenVKL - Benchmark: vklBenchmark ISPC (Items / Sec)",HIB,520,522 "OpenVKL - Benchmark: vklBenchmark Scalar (Items / Sec)",HIB,255,253 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.30989,1.29942 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.00282,3.02197 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.39001,1.40389 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.08776,1.13263 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.71301,3.69864 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.10746,2.11619 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,3.93265,3.88472 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,18.6138,18.5701 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,1.21248,1.21791 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.64132,3.62224 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.434424,0.43882 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.331943,0.336858 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,876.576,877.97 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,457.84,458.51 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,875.659,878.287 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.14259,3.13757 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4.84062,4.8545 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4.43676,4.4349 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,463.667,453.862 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.327524,0.329008 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,876.443,890.453 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,467.099,460.988 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.194345,0.199945 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.45477,2.27592 "CockroachDB - Workload: MoVR - Concurrency: 128 (ops/s)",HIB,380,358.2 "CockroachDB - Workload: MoVR - Concurrency: 256 (ops/s)",HIB,400.6,365.6 "CockroachDB - Workload: MoVR - Concurrency: 512 (ops/s)",HIB,381.8,391.7 "CockroachDB - Workload: MoVR - Concurrency: 1024 (ops/s)",HIB,360,366.9 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 128 (ops/s)",HIB,65449.2,66632.8 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 256 (ops/s)",HIB,67990,68326.9 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 512 (ops/s)",HIB,67125.8,66853.5 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 128 (ops/s)",HIB,80437.3,85022.7 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 256 (ops/s)",HIB,81102.6,89629.3 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 512 (ops/s)",HIB,76437.2,84220 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 128 (ops/s)",HIB,85674,91688.8 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 256 (ops/s)",HIB,86044.5,84529.4 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 512 (ops/s)",HIB,90837.1,89886.1 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 128 (ops/s)",HIB,110812.8,99710 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 256 (ops/s)",HIB,98761.4,99967.9 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 512 (ops/s)",HIB,101544,91775.4 "CockroachDB - Workload: KV, 10% Reads - Concurrency: 1024 (ops/s)",HIB,65744.1,63330.8 "CockroachDB - Workload: KV, 50% Reads - Concurrency: 1024 (ops/s)",HIB,82225.7,73573.9 "CockroachDB - Workload: KV, 60% Reads - Concurrency: 1024 (ops/s)",HIB,86582.7,85611.1 "CockroachDB - Workload: KV, 95% Reads - Concurrency: 1024 (ops/s)",HIB,101568.6,94955.4 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only (TPS)",HIB,1564863,1584160 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.064,0.063 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only (TPS)",HIB,1690140,1795519 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.148,0.139 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only (TPS)",HIB,1759394,1809420 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.284,0.276 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only (TPS)",HIB,1787570,1715536 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.448,0.466 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Write (TPS)",HIB,1365,1363 "PostgreSQL - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,73.247,73.369 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Only (TPS)",HIB,1785534,1651399 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.56,0.606 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Write (TPS)",HIB,752,714 "PostgreSQL - Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,332.488,350.08 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write (TPS)",HIB,366,239 "PostgreSQL - Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,1366.382,2089.942 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Write (TPS)",HIB,279,260 "PostgreSQL - Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,2868.828,3073.441 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Write (TPS)",HIB,236,234 "PostgreSQL - Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,4233.601,4274.622 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only (TPS)",HIB,1499937,1509915 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency (ms)",LIB,0.067,0.066 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only (TPS)",HIB,1785647,1793551 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency (ms)",LIB,0.14,0.139 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only (TPS)",HIB,1802196,1805423 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency (ms)",LIB,0.277,0.277 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only (TPS)",HIB,1783440,1707442 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency (ms)",LIB,0.449,0.469 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write (TPS)",HIB,58725,58760 "PostgreSQL - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency (ms)",LIB,1.703,1.702 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only (TPS)",HIB,1638286,1745701 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency (ms)",LIB,0.61,0.573 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write (TPS)",HIB,64820,65615 "PostgreSQL - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency (ms)",LIB,3.857,3.81 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write (TPS)",HIB,62985,62982 "PostgreSQL - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency (ms)",LIB,7.938,7.939 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write (TPS)",HIB,55873,55920 "PostgreSQL - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency (ms)",LIB,14.318,14.306 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write (TPS)",HIB,50653,50366 "PostgreSQL - Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency (ms)",LIB,19.742,19.855 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,18.52,18.46 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,753.02,754.14 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,9.85,9.89 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1407.71,1404.1 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,9.73,9.7 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1429.13,1430.6 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,682.54,672.12 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,20.45,20.78 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,69.52,69.6 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,201.21,200.93 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,2888.87,2889.46 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.82,4.82 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,1819.1,1824.35 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,30.67,30.59 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,187.05,186.77 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,74.75,74.85 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,6929.07,6948.2 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,8.07,8.05 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,1289.59,1286.83 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,10.81,10.83 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,48267.15,48001.2 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.15,1.15 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,53593.95,53495.65 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.03,1.03 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,405341,401379