Xeon Plat 8280 March
2 x Intel Xeon Platinum 8280 testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2103251-IB-XEONPLAT810&grs.
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
Mobile Neural Network
Model: MobileNetV2_224
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
Sysbench
Test: RAM / Memory
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 57
Mobile Neural Network
Model: SqueezeNetV1.0
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
JPEG XL
Input: PNG - Encode Speed: 5
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
Basis Universal
Settings: UASTC Level 0
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K
OpenSCAD
Render: Pistol
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 57
Mobile Neural Network
Model: mobilenet-v1-1.0
OpenSCAD
Render: Retro Car
Mobile Neural Network
Model: inception-v3
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ASTC Encoder
Preset: Thorough
OpenSCAD
Render: Mini-ITX Case
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
JPEG XL
Input: JPEG - Encode Speed: 8
JPEG XL Decoding
CPU Threads: All
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 57
OpenSCAD
Render: Leonardo Phone Case Slim
Mobile Neural Network
Model: resnet-v2-50
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 57
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 57
JPEG XL Decoding
CPU Threads: 1
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 1 - Input: Bosphorus 1080p
Stockfish
Total Time
JPEG XL
Input: JPEG - Encode Speed: 7
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
Liquid-DSP
Threads: 112 - Buffer Length: 256 - Filter Length: 57
AOM AV1
Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K
simdjson
Throughput Test: Kostya
ASTC Encoder
Preset: Medium
Timed Node.js Compilation
Time To Compile
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
AOM AV1
Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
simdjson
Throughput Test: PartialTweets
Basis Universal
Settings: UASTC Level 3
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
OpenSCAD
Render: Projector Mount Swivel
Xcompact3d Incompact3d
Input: X3D-benchmarking input.i3d
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
Basis Universal
Settings: ETC1S
Basis Universal
Settings: UASTC Level 2
ASTC Encoder
Preset: Exhaustive
JPEG XL
Input: PNG - Encode Speed: 7
AOM AV1
Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 57
JPEG XL
Input: JPEG - Encode Speed: 5
Sysbench
Test: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 57
AOM AV1
Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K
JPEG XL
Input: PNG - Encode Speed: 8
simdjson
Throughput Test: DistinctUserID
simdjson
Throughput Test: LargeRandom
Phoronix Test Suite v10.8.4