Xeon Silver March

Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 10 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 2103218-HA-XEONSILVE43
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C/C++ Compiler Tests 4 Tests
CPU Massive 5 Tests
Creator Workloads 5 Tests
Encoding 3 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 2 Tests
Multi-Core 6 Tests
Server CPU Tests 5 Tests
Video Encoding 3 Tests

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March 21 2021
  2 Hours, 50 Minutes
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March 21 2021
  2 Hours, 52 Minutes
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March 21 2021
  2 Hours, 50 Minutes
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Xeon Silver March Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 10 via the Phoronix Test Suite. ,,"1","2","3" Processor,,Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads),Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads),Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads) Motherboard,,TYAN S7100AG2NR (V4.02 BIOS),TYAN S7100AG2NR (V4.02 BIOS),TYAN S7100AG2NR (V4.02 BIOS) Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers Memory,,24GB,24GB,24GB Disk,,240GB Corsair Force MP500,240GB Corsair Force MP500,240GB Corsair Force MP500 Graphics,,ASPEED,ASPEED,ASPEED Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892 Network,,2 x Intel I350,2 x Intel I350,2 x Intel I350 OS,,Debian 10,Debian 10,Debian 10 Kernel,,4.19.0-9-amd64 (x86_64),4.19.0-9-amd64 (x86_64),4.19.0-9-amd64 (x86_64) Desktop,,GNOME Shell 3.30.2,GNOME Shell 3.30.2,GNOME Shell 3.30.2 Display Server,,X Server,X Server,X Server Compiler,,GCC 8.3.0,GCC 8.3.0,GCC 8.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1024x768,1024x768,1024x768 ,,"1","2","3" "Sysbench - Test: CPU (Events/sec)",HIB,22943.61,22942.83,22943.20 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.21,0.20,0.21 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,3.77,3.77,3.76 "AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,11.76,11.68,11.70 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,9.29,9.31,9.31 "AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,30.06,30.00,29.64 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,7.88,7.86,7.89 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,120.65,121.08,120.93 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,258.29,257.29,255.87 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,216.44,218.37,219.08 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,221.50,221.91,222.05 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,169.62,169.81,170.48 "simdjson - Throughput Test: Kostya (GB/s)",HIB,1.13,1.12,1.13 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.38,0.38,0.38 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,1.37,1.37,1.36 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,1.48,1.48,1.48 "LuaRadio - Test: Five Back to Back FIR Filters (MiB/s)",HIB,808.6,807.8,810.2 "LuaRadio - Test: FM Deemphasis Filter (MiB/s)",HIB,254.2,254.0,253.3 "LuaRadio - Test: Hilbert Transform (MiB/s)",HIB,55.4,55.4,55.4 "LuaRadio - Test: Complex Phase (MiB/s)",HIB,434.1,438.2,439.2 "Sysbench - Test: RAM / Memory (MiB/sec)",HIB,15699.71,15632.40,15678.47 "Stockfish - Total Time (Nodes/s)",HIB,31665033,31089824,31357896 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,4.75486,4.74640,4.74045 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.93294,3.85096,3.91852 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.05123,1.04921,1.0489 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.45952,1.42021,1.44027 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,10.5995,10.5877,10.5943 "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.12486,3.12458,3.13052 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,6.57468,6.51645,6.55537 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,11.7592,11.7549,11.7840 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,7.65076,7.64752,7.63646 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.39957,6.21612,6.16607 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.26827,1.27125,1.27234 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.88615,1.88395,1.88619 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,3586.70,3588.58,3592.55 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1859.12,1856.49,1854.28 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3589.87,3589.97,3592.30 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,16.2810,16.2907,16.2782 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,18.4274,18.4257,18.4369 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,21.7683,21.7742,21.7774 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1852.81,1853.80,1852.34 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.61069,1.61866,1.60482 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3589.54,3593.32,3588.05 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1853.05,1853.25,1855.59 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.833192,0.834428,0.830736 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.56301,3.56246,3.56446 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,8.133,8.130,8.236 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,43.656,43.985,44.232 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.038,5.095,5.099 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,3.265,3.227,3.292 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,55.095,54.547,54.090 "Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,16.7026520,16.8470281,16.8595543 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,66.4466426,66.6669617,66.1601740 "Basis Universal - Settings: ETC1S (sec)",LIB,32.705,32.657,32.610 "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,10.084,10.066,10.072 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,31.892,31.871,31.868 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,57.170,57.186,57.064