xeon-8462y-suite
2 x Intel Xeon Platinum 8462Y+ testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2307145-NE-XEON8462Y12&gru&sor.
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
Embree
Binary: Pathtracer - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
x264
Video Input: Bosphorus 4K
x264
Video Input: Bosphorus 1080p
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
TensorFlow
Device: CPU - Batch Size: 64 - Model: VGG-16
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
Coremark
CoreMark Size 666 - Iterations Per Second
SMHasher
Hash: wyhash
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
ASKAP
Test: tConvolve MPI - Degridding
ASKAP
Test: tConvolve MPI - Gridding
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
nginx
Connections: 1000
Apache HTTP Server
Concurrent Requests: 1000
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
SMHasher
Hash: wyhash
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
Monte Carlo Simulations of Ionised Nebulae
Input: Gas HII40
Monte Carlo Simulations of Ionised Nebulae
Input: Dust 2D tau100.0
OpenFOAM
Input: motorBike - Mesh Time
OpenFOAM
Input: motorBike - Execution Time
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
POV-Ray
Trace Time
Blender
Blend File: BMW27 - Compute: CPU-Only
OpenFOAM
Input: drivaerFastback, Large Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Large Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
FFmpeg
Encoder: libx264 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Live
Phoronix Test Suite v10.8.5