AMD EPYC 4364P EPYC 4564P Intel Xeon E-2488 Benchmarks
Benchmarks preparing for a future article by Michael Larabel.
HTML result view exported from: https://openbenchmarking.org/result/2405241-NE-EPYC4004428&grw.
Stress-NG
Test: System V Message Passing
Stress-NG
Test: CPU Cache
Stress-NG
Test: x86_64 RdRand
Stress-NG
Test: Floating Point
Stress-NG
Test: Fused Multiply-Add
Stress-NG
Test: Matrix 3D Math
Stress-NG
Test: Vector Floating Point
Stress-NG
Test: Vector Shuffle
Stress-NG
Test: Wide Vector Math
Stress-NG
Test: AVX-512 VNNI
DaCapo Benchmark
Java Test: Eclipse
DaCapo Benchmark
Java Test: Avrora AVR Simulation Framework
DaCapo Benchmark
Java Test: Batik SVG Toolkit
DaCapo Benchmark
Java Test: FOP Print Formatter
DaCapo Benchmark
Java Test: PMD Source Code Analyzer
DaCapo Benchmark
Java Test: Apache Tomcat
DaCapo Benchmark
Java Test: Apache Xalan XSLT
DaCapo Benchmark
Java Test: Apache Lucene Search Index
DaCapo Benchmark
Java Test: Apache Lucene Search Engine
SPECFEM3D
Model: Mount St. Helens
DaCapo Benchmark
Java Test: H2 Database Engine
DaCapo Benchmark
Java Test: Jython
DaCapo Benchmark
Java Test: Tradebeans
DaCapo Benchmark
Java Test: Tradesoap
DaCapo Benchmark
Java Test: BioJava Biological Data Framework
DaCapo Benchmark
Java Test: GraphChi
DaCapo Benchmark
Java Test: jMonkeyEngine
DaCapo Benchmark
Java Test: Apache Kafka
DaCapo Benchmark
Java Test: Spring Boot
DaCapo Benchmark
Java Test: Zxing 1D/2D Barcode Image Processing
Renaissance
Test: Savina Reactors.IO
Renaissance
Test: Finagle HTTP Requests
Renaissance
Test: Genetic Algorithm Using Jenetics + Futures
Java SciMark
Computational Test: Composite
Java SciMark
Computational Test: Fast Fourier Transform
Java SciMark
Computational Test: Jacobi Successive Over-Relaxation
Java SciMark
Computational Test: Monte Carlo
Java SciMark
Computational Test: Dense LU Matrix Factorization
BRL-CAD
VGR Performance Metric
ASTC Encoder
Preset: Fast
ASTC Encoder
Preset: Medium
ASTC Encoder
Preset: Thorough
ASTC Encoder
Preset: Very Thorough
ASTC Encoder
Preset: Exhaustive
Google Draco
Model: Church Facade
Google Draco
Model: Lion
JPEG-XL libjxl
Input: JPEG - Quality: 90
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
JPEG-XL libjxl
Input: JPEG - Quality: 100
JPEG-XL libjxl
Input: PNG - Quality: 90
JPEG-XL libjxl
Input: PNG - Quality: 100
RawTherapee
Total Benchmark Time
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
WebP Image Encode
Encode Settings: Quality 100, Lossless
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
SecureMark
Benchmark: SecureMark-TLS
Xmrig
Variant: GhostRider - Hash Count: 1M
QuantLib
Configuration: Single-Threaded
QuantLib
Configuration: Multi-Threaded
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
OpenRadioss
Model: Bird Strike on Windshield
OpenRadioss
Model: Rubber O-Ring Seal Installation
OpenRadioss
Model: Cell Phone Drop Test
OpenRadioss
Model: Bumper Beam
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
OpenRadioss
Model: Chrysler Neon 1M
TensorFlow
Device: CPU - Batch Size: 1 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 1 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 1 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 32 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 32 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 64 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 64 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 256 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 256 - Model: GoogLeNet
TensorFlow
Device: CPU - Batch Size: 512 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 512 - Model: AlexNet
TensorFlow
Device: CPU - Batch Size: 512 - Model: GoogLeNet
Numpy Benchmark
CloverLeaf
Input: clover_bm
CloverLeaf
Input: clover_bm64_short
Dolfyn
Computational Fluid Dynamics
GNU Octave Benchmark
RNNoise
Input: 26 Minute Long Talking Sample
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Standard
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: super-resolution-10 - Device: CPU - Executor: Parallel
SPECFEM3D
Model: Water-layered Halfspace
SPECFEM3D
Model: Tomographic Model
SPECFEM3D
Model: Homogeneous Halfspace
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Standard
SPECFEM3D
Model: Layered Halfspace
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Standard
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
ONNX Runtime
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
PETSc
Test: Streams
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
ONNX Runtime
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
ONNX Runtime
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
ONNX Runtime
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: T5 Encoder - Device: CPU - Executor: Standard
ONNX Runtime
Model: T5 Encoder - Device: CPU - Executor: Parallel
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 64 - Model: ResNet-50
Llama.cpp
Model: llama-2-7b.Q4_0.gguf
Llama.cpp
Model: llama-2-13b.Q4_0.gguf
Llama.cpp
Model: llama-2-70b-chat.Q5_0.gguf
Llamafile
Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU
Llamafile
Test: llava-v1.5-7b-q4 - Acceleration: CPU
Llamafile
Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
NAS Parallel Benchmarks
Test / Class: BT.C
NAS Parallel Benchmarks
Test / Class: EP.C
NAS Parallel Benchmarks
Test / Class: LU.C
NAS Parallel Benchmarks
Test / Class: SP.B
NAS Parallel Benchmarks
Test / Class: SP.C
NAS Parallel Benchmarks
Test / Class: IS.D
NAS Parallel Benchmarks
Test / Class: MG.C
NAS Parallel Benchmarks
Test / Class: CG.C
NAMD
Input: ATPase with 327,506 Atoms
NAMD
Input: STMV with 1,066,628 Atoms
oneDNN
Harness: Convolution Batch Shapes Auto - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Engine: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
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: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Person Re-Identification Retail FP16 - Device: CPU
OpenVINO
Model: Person Re-Identification Retail FP16 - Device: CPU
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
OpenVINO
Model: Noise Suppression Poconet-Like FP16 - Device: CPU
ASKAP
Test: tConvolve MPI - Degridding
ASKAP
Test: tConvolve MPI - Gridding
ASKAP
Test: tConvolve OpenMP - Gridding
ASKAP
Test: tConvolve OpenMP - Degridding
ASKAP
Test: tConvolve MT - Gridding
ASKAP
Test: tConvolve MT - Degridding
ACES DGEMM
Sustained Floating-Point Rate
Pennant
Test: leblancbig
Pennant
Test: sedovbig
Algebraic Multi-Grid Benchmark
LULESH
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
QMCPACK
Input: simple-H2O
miniFE
Problem Size: Small
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
GPAW
Input: Carbon Nanotube
Java JMH
Throughput
Coremark
CoreMark Size 666 - Iterations Per Second
Aircrack-ng
Timed FFmpeg Compilation
Time To Compile
Primesieve
Length: 1e12
Primesieve
Length: 1e13
Stockfish
Chess Benchmark
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
John The Ripper
Test: MD5
John The Ripper
Test: Blowfish
John The Ripper
Test: HMAC-SHA512
John The Ripper
Test: bcrypt
John The Ripper
Test: WPA PSK
Timed LLVM Compilation
Build System: Ninja
Timed LLVM Compilation
Build System: Unix Makefiles
Timed PHP Compilation
Time To Compile
Zstd Compression
Compression Level: 8 - Compression Speed
Zstd Compression
Compression Level: 8 - Decompression Speed
Zstd Compression
Compression Level: 8, Long Mode - Compression Speed
Zstd Compression
Compression Level: 8, Long Mode - Decompression Speed
Zstd Compression
Compression Level: 12 - Compression Speed
Zstd Compression
Compression Level: 12 - Decompression Speed
Zstd Compression
Compression Level: 19 - Compression Speed
Zstd Compression
Compression Level: 19 - Decompression Speed
Zstd Compression
Compression Level: 19, Long Mode - Compression Speed
Zstd Compression
Compression Level: 19, Long Mode - Decompression Speed
Parallel BZIP2 Compression
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
m-queens
Time To Solve
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Cpuminer-Opt
Algorithm: Myriad-Groestl
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Blake-2 S
Cpuminer-Opt
Algorithm: Garlicoin
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Deepcoin
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Super Fast
Kvazaar
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Super Fast
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
GraphicsMagick
Operation: HWB Color Space
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Swirl
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 1080p
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
x265
Video Input: Bosphorus 1080p
x265
Video Input: Bosphorus 4K
Chaos Group V-RAY
Mode: CPU
SVT-HEVC
Tuning: 1 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 1 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 7 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 10 - Input: Bosphorus 1080p
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
Blender
Blend File: BMW27 - Compute: CPU-Only
Blender
Blend File: Classroom - Compute: CPU-Only
Blender
Blend File: Fishy Cat - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
Blender
Blend File: Barbershop - Compute: CPU-Only
Blender
Blend File: Junkshop - Compute: CPU-Only
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
uvg266
Video Input: Bosphorus 1080p - Video Preset: Medium
uvg266
Video Input: Bosphorus 1080p - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 1080p - Video Preset: Ultra Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
VVenC
Video Input: Bosphorus 1080p - Video Preset: Fast
VVenC
Video Input: Bosphorus 1080p - Video Preset: Faster
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
libavif avifenc
Encoder Speed: 0
libavif avifenc
Encoder Speed: 2
libavif avifenc
Encoder Speed: 6
libavif avifenc
Encoder Speed: 6, Lossless
libavif avifenc
Encoder Speed: 10, Lossless
Timed Godot Game Engine Compilation
Time To Compile
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Embree
Binary: Pathtracer ISPC - Model: Crown
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
OpenVKL
Benchmark: vklBenchmarkCPU ISPC
LuxCoreRender
Scene: DLSC - Acceleration: CPU
LuxCoreRender
Scene: Rainbow Colors and Prism - Acceleration: CPU
LuxCoreRender
Scene: LuxCore Benchmark - Acceleration: CPU
LuxCoreRender
Scene: Orange Juice - Acceleration: CPU
LuxCoreRender
Scene: Danish Mood - Acceleration: CPU
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay
Benchmark: particle_volume/scivis/real_time
OSPRay
Benchmark: particle_volume/pathtracer/real_time
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
Appleseed
Scene: Emily
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
Timed CPython Compilation
Build Configuration: Default
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
Timed Gem5 Compilation
Time To Compile
Timed Mesa Compilation
Time To Compile
Timed Node.js Compilation
Time To Compile
Timed Wasmer Compilation
Time To Compile
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 1 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 2 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 4 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 32
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 512
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Total
srsRAN Project
Test: PUSCH Processor Benchmark, Throughput Thread
srsRAN Project
Test: PDSCH Processor Benchmark, Throughput Total
srsRAN Project
Test: PDSCH Processor Benchmark, Throughput Thread
DuckDB
Benchmark: IMDB
MariaDB
Test: oltp_read_write - Threads: 32
MariaDB
Test: oltp_read_write - Threads: 64
MariaDB
Test: oltp_write_only - Threads: 32
MariaDB
Test: oltp_write_only - Threads: 64
MariaDB
Test: oltp_update_non_index - Threads: 32
MariaDB
Test: oltp_update_non_index - Threads: 64
MariaDB
Test: oltp_update_index - Threads: 64
Speedb
Test: Random Fill
Speedb
Test: Random Fill Sync
Speedb
Test: Random Read
Speedb
Test: Read While Writing
Speedb
Test: Read Random Write Random
Z3 Theorem Prover
SMT File: 2.smt2
ScyllaDB
Test: Writes
Speedb
Test: Update Random
nginx
Connections: 200
nginx
Connections: 500
nginx
Connections: 1000
Apache HTTP Server
Concurrent Requests: 500
Apache HTTP Server
Concurrent Requests: 1000
OpenSSL
Algorithm: RSA4096
Z3 Theorem Prover
SMT File: 1.smt2
MariaDB
Test: oltp_update_index - Threads: 32
OpenSSL
Algorithm: RSA4096
Helsing
Digit Range: 14 digit
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: ChaCha20-Poly1305
Apache Hadoop
Operation: Create - Threads: 100 - Files: 100000
Apache Hadoop
Operation: Create - Threads: 500 - Files: 100000
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Helsing
Digit Range: 12 digit
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Apache IoTDB
Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
Apache IoTDB
Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
ClickHouse
100M Rows Hits Dataset, Second Run
Y-Cruncher
Pi Digits To Calculate: 1B
ClickHouse
100M Rows Hits Dataset, Third Run
CockroachDB
Workload: KV, 95% Reads - Concurrency: 128
CockroachDB
Workload: KV, 50% Reads - Concurrency: 128
CockroachDB
Workload: KV, 60% Reads - Concurrency: 128
Y-Cruncher
Pi Digits To Calculate: 500M
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:10
Memcached
Set To Get Ratio: 1:100
Memcached
Set To Get Ratio: 1:10
Redis
Test: SET - Parallel Connections: 500
RocksDB
Test: Random Fill
RocksDB
Test: Random Fill Sync
RocksDB
Test: Random Read
RocksDB
Test: Read While Writing
RocksDB
Test: Read Random Write Random
RocksDB
Test: Update Random
RocksDB
Test: Overwrite
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency
MariaDB mariadb-slap
Clients: 64
MariaDB mariadb-slap
Clients: 128
Node.js V8 Web Tooling Benchmark
PyBench
Total For Average Test Times
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Standard
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: super-resolution-10 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Standard
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Standard
ONNX Runtime
Model: GPT-2 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
ONNX Runtime
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
ONNX Runtime
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
ONNX Runtime
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: T5 Encoder - Device: CPU - Executor: Standard
ONNX Runtime
Model: T5 Encoder - Device: CPU - Executor: Parallel
Phoronix Test Suite v10.8.4