Ubuntu 22.10 Early Xeon Comparison Benchmarkss
2 x Intel Xeon Platinum 8380 testing of Linux distros by Michael Larabel for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2209058-NE-LINUX488963&sro&grr.
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
Apache Spark
Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe
Apache Spark
Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark
Stockfish
Total Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time
TNN
Target: CPU - Model: DenseNet
Renaissance
Test: Savina Reactors.IO
OSPRay
Benchmark: particle_volume/pathtracer/real_time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Inner Join Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Repartition Test Time
Apache Spark
Row Count: 40000000 - Partitions: 500 - Group By Test Time
Renaissance
Test: In-Memory Database Shootout
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Standard
ONNX Runtime
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
ONNX Runtime
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Renaissance
Test: Finagle HTTP Requests
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Only
OSPRay
Benchmark: particle_volume/scivis/real_time
Renaissance
Test: ALS Movie Lens
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1
Blender
Blend File: Barbershop - Compute: CPU-Only
OSPRay
Benchmark: particle_volume/ao/real_time
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
memtier_benchmark
Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10
Apache HTTP Server
Concurrent Requests: 1000
TensorFlow Lite
Model: Inception V4
TensorFlow Lite
Model: Inception ResNet V2
Mobile Neural Network
Model: inception-v3
Mobile Neural Network
Model: mobilenet-v1-1.0
Mobile Neural Network
Model: MobileNetV2_224
Mobile Neural Network
Model: SqueezeNetV1.0
Mobile Neural Network
Model: resnet-v2-50
Mobile Neural Network
Model: squeezenetv1.1
Mobile Neural Network
Model: mobilenetV3
Mobile Neural Network
Model: nasnet
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Standard
C-Blosc
Test: blosclz bitshuffle
TensorFlow Lite
Model: NASNet Mobile
C-Blosc
Test: blosclz shuffle
TensorFlow Lite
Model: SqueezeNet
ONNX Runtime
Model: super-resolution-10 - Device: CPU - Executor: Standard
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
TensorFlow Lite
Model: Mobilenet Quant
High Performance Conjugate Gradient
GraphicsMagick
Operation: Resizing
KeyDB
VP9 libvpx Encoding
Speed: Speed 0 - Input: Bosphorus 4K
Timed LLVM Compilation
Build System: Ninja
TensorFlow Lite
Model: Mobilenet Float
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: HWB Color Space
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 250 - Mode: Read Write
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
PostgreSQL pgbench
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
Zstd Compression
Compression Level: 8 - Decompression Speed
Zstd Compression
Compression Level: 8 - Compression Speed
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
ClickHouse
100M Rows Web Analytics Dataset, Third Run
ClickHouse
100M Rows Web Analytics Dataset, Second Run
ClickHouse
100M Rows Web Analytics Dataset, First Run / Cold Cache
Redis
Test: SET - Parallel Connections: 500
Stress-NG
Test: Atomic
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
ONNX Runtime
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Standard
Stress-NG
Test: Futex
Stress-NG
Test: Socket Activity
ONNX Runtime
Model: super-resolution-10 - Device: CPU - Executor: Parallel
GraphicsMagick
Operation: Rotate
InfluxDB
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
Timed Linux Kernel Compilation
Build: defconfig
Natron
Input: Spaceship
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer
nginx
Concurrent Requests: 1000
Renaissance
Test: Apache Spark Bayes
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
TNN
Target: CPU - Model: MobileNet v2
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 3 - Decompression Speed
Zstd Compression
Compression Level: 3 - Compression Speed
Redis
Test: GET - Parallel Connections: 500
Redis
Test: SET - Parallel Connections: 1000
Stress-NG
Test: System V Message Passing
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
libavif avifenc
Encoder Speed: 0
Node.js V8 Web Tooling Benchmark
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
Node.js Express HTTP Load Test
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
Zstd Compression
Compression Level: 3, Long Mode - Compression Speed
simdjson
Throughput Test: TopTweet
Renaissance
Test: Random Forest
Dragonflydb
Clients: 50 - Set To Get Ratio: 5:1
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:5
Dragonflydb
Clients: 50 - Set To Get Ratio: 1:1
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
Timed GDB GNU Debugger Compilation
Time To Compile
Blender
Blend File: Classroom - Compute: CPU-Only
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
Redis
Test: GET - Parallel Connections: 1000
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Stress-NG
Test: Context Switching
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Swirl
7-Zip Compression
Test: Decompression Rating
7-Zip Compression
Test: Compression Rating
simdjson
Throughput Test: Kostya
Stress-NG
Test: CPU Cache
simdjson
Throughput Test: LargeRandom
oneDNN
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
x264
Video Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 2
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
Unpacking The Linux Kernel
linux-5.19.tar.xz
Stress-NG
Test: Glibc C String Functions
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
libavif avifenc
Encoder Speed: 6, Lossless
Zstd Compression
Compression Level: 3, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
Blender
Blend File: Fishy Cat - Compute: CPU-Only
DaCapo Benchmark
Java Test: Jython
NAMD
ATPase Simulation - 327,506 Atoms
Stress-NG
Test: NUMA
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: IO_uring
Stress-NG
Test: Forking
Stress-NG
Test: Malloc
Stress-NG
Test: Memory Copying
Stress-NG
Test: MMAP
Stress-NG
Test: SENDFILE
Stress-NG
Test: CPU Stress
Stress-NG
Test: Semaphores
Stress-NG
Test: MEMFD
Stress-NG
Test: Glibc Qsort Data Sorting
Stress-NG
Test: Crypto
Stress-NG
Test: Matrix Math
Stress-NG
Test: Vector Math
libavif avifenc
Encoder Speed: 10, Lossless
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
Redis
Test: SET - Parallel Connections: 50
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
TNN
Target: CPU - Model: SqueezeNet v1.1
Blender
Blend File: BMW27 - Compute: CPU-Only
Redis
Test: GET - Parallel Connections: 50
OpenSSL
OpenSSL
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
ASTC Encoder
Preset: Medium
WebP Image Encode
Encode Settings: Quality 100, Lossless
DaCapo Benchmark
Java Test: H2
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
ASTC Encoder
Preset: Exhaustive
TNN
Target: CPU - Model: SqueezeNet v2
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
WebP Image Encode
Encode Settings: Quality 100
libavif avifenc
Encoder Speed: 6
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 10 - Input: Bosphorus 4K
ASTC Encoder
Preset: Thorough
WebP Image Encode
Encode Settings: Default
ASTC Encoder
Preset: Fast
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
Phoronix Test Suite v10.8.5