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.
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Timed FFmpeg Compilation
Time To Compile
Timed Godot Game Engine Compilation
Time To Compile
Timed Node.js Compilation
Time To Compile
Timed Gem5 Compilation
Time To Compile
Timed LLVM Compilation
Build System: Ninja
Timed LLVM Compilation
Build System: Unix Makefiles
Timed PHP Compilation
Time To Compile
Timed Wasmer Compilation
Time To Compile
Timed Mesa Compilation
Time To Compile
Timed CPython Compilation
Build Configuration: Default
Timed CPython Compilation
Build Configuration: Released Build, PGO + LTO Optimized
nginx
Connections: 200
nginx
Connections: 500
nginx
Connections: 1000
Apache HTTP Server
Concurrent Requests: 500
Apache HTTP Server
Concurrent Requests: 1000
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: ChaCha20-Poly1305
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
Node.js V8 Web Tooling Benchmark
ScyllaDB
Test: Writes
DuckDB
Benchmark: IMDB
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
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
Apache Hadoop
Operation: Create - Threads: 100 - Files: 100000
Apache Hadoop
Operation: Create - Threads: 500 - Files: 100000
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
ClickHouse
100M Rows Hits Dataset, Second Run
ClickHouse
100M Rows Hits Dataset, Third Run
MariaDB mariadb-slap
Clients: 64
MariaDB mariadb-slap
Clients: 128
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: 32
MariaDB
Test: oltp_update_index - Threads: 64
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
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:100
Dragonflydb
Clients Per Thread: 10 - Set To Get Ratio: 1:10
CockroachDB
Workload: KV, 95% Reads - Concurrency: 128
CockroachDB
Workload: KV, 50% Reads - Concurrency: 128
CockroachDB
Workload: KV, 60% Reads - Concurrency: 128
Redis
Test: SET - Parallel Connections: 500
Memcached
Set To Get Ratio: 1:100
Memcached
Set To Get Ratio: 1:10
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
Speedb
Test: Random Fill
Speedb
Test: Random Fill Sync
Speedb
Test: Random Read
Speedb
Test: Read While Writing
Speedb
Test: Read Random Write Random
Speedb
Test: Update Random
SecureMark
Benchmark: SecureMark-TLS
Coremark
CoreMark Size 666 - Iterations Per Second
Algebraic Multi-Grid Benchmark
ACES DGEMM
Sustained Floating-Point Rate
LULESH
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
LAMMPS Molecular Dynamics Simulator
Model: Rhodopsin Protein
LAMMPS Molecular Dynamics Simulator
Model: 20k Atoms
m-queens
Time To Solve
SPECFEM3D
Model: Layered Halfspace
SPECFEM3D
Model: Water-layered Halfspace
SPECFEM3D
Model: Homogeneous Halfspace
SPECFEM3D
Model: Mount St. Helens
SPECFEM3D
Model: Tomographic Model
Dolfyn
Computational Fluid Dynamics
miniFE
Problem Size: Small
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
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
NAMD
Input: ATPase with 327,506 Atoms
NAMD
Input: STMV with 1,066,628 Atoms
CloverLeaf
Input: clover_bm
CloverLeaf
Input: clover_bm64_short
QuantLib
Configuration: Single-Threaded
QuantLib
Configuration: Multi-Threaded
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
PETSc
Test: Streams
QMCPACK
Input: simple-H2O
GPAW
Input: Carbon Nanotube
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
Pennant
Test: leblancbig
Pennant
Test: sedovbig
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
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
BRL-CAD
VGR Performance Metric
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
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
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
Chaos Group V-RAY
Mode: CPU
Appleseed
Scene: Emily
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
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
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
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
Parallel BZIP2 Compression
FreeBSD-13.0-RELEASE-amd64-memstick.img Compression
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
PyBench
Total For Average Test Times
Numpy Benchmark
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
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
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
x265
Video Input: Bosphorus 1080p
x265
Video Input: Bosphorus 4K
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
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
FFmpeg
Encoder: libx265 - Scenario: Live
FFmpeg
Encoder: libx265 - Scenario: Upload
FFmpeg
Encoder: libx265 - Scenario: Platform
FFmpeg
Encoder: libx265 - Scenario: Video On Demand
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
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
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
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
GraphicsMagick
Operation: HWB Color Space
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Swirl
JPEG-XL libjxl
Input: JPEG - Quality: 90
JPEG-XL libjxl
Input: JPEG - Quality: 100
JPEG-XL libjxl
Input: PNG - Quality: 90
JPEG-XL libjxl
Input: PNG - Quality: 100
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
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
PyTorch
Device: CPU - Batch Size: 1 - Model: ResNet-50
PyTorch
Device: CPU - Batch Size: 64 - Model: ResNet-50
RNNoise
Input: 26 Minute Long Talking Sample
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
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
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Standard
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Standard
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: yolov4 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: fcn-resnet101-11 - 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: super-resolution-10 - Device: CPU - Executor: Parallel
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Standard
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Standard
ONNX Runtime
Model: bertsquad-12 - Device: CPU - Executor: Parallel
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: Standard
ONNX Runtime
Model: GPT-2 - 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: 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: Standard
ONNX Runtime
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
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: Standard
ONNX Runtime
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
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: Standard
ONNX Runtime
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
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: Standard
ONNX Runtime
Model: T5 Encoder - Device: CPU - Executor: Parallel
ONNX Runtime
Model: T5 Encoder - Device: CPU - Executor: Parallel
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
GNU Octave Benchmark
RawTherapee
Total Benchmark Time
Z3 Theorem Prover
SMT File: 1.smt2
Z3 Theorem Prover
SMT File: 2.smt2
Xmrig
Variant: GhostRider - Hash Count: 1M
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
Helsing
Digit Range: 12 digit
Helsing
Digit Range: 14 digit
Stockfish
Chess Benchmark
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
Primesieve
Length: 1e12
Primesieve
Length: 1e13
Y-Cruncher
Pi Digits To Calculate: 500M
Y-Cruncher
Pi Digits To Calculate: 1B
Aircrack-ng
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
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
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 JMH
Throughput
Phoronix Test Suite v10.8.4