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.
HTML result view exported from: https://openbenchmarking.org/result/2103218-HA-XEONSILVE43&sor&grs.
AOM AV1
Encoder Mode: Speed 0 Two-Pass
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: inception-v3
Stockfish
Total Time
AOM AV1
Encoder Mode: Speed 8 Realtime
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: SqueezeNetV1.0
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
Mobile Neural Network
Model: MobileNetV2_224
LuaRadio
Test: Complex Phase
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
simdjson
Throughput Test: Kostya
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
simdjson
Throughput Test: PartialTweets
AOM AV1
Encoder Mode: Speed 6 Realtime
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
Sysbench
Test: RAM / Memory
SVT-HEVC
Tuning: 1 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
LuaRadio
Test: FM Deemphasis Filter
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
LuaRadio
Test: Five Back to Back FIR Filters
Basis Universal
Settings: ETC1S
AOM AV1
Encoder Mode: Speed 4 Two-Pass
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
AOM AV1
Encoder Mode: Speed 6 Two-Pass
Basis Universal
Settings: UASTC Level 3
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
Basis Universal
Settings: UASTC Level 0
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
Basis Universal
Settings: UASTC Level 2
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
Sysbench
Test: CPU
LuaRadio
Test: Hilbert Transform
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: LargeRandom
Phoronix Test Suite v10.8.5