Ubuntu 23.10 Server Benchmarks
2 x Intel Xeon Platinum 8490H testing with a Quanta Cloud S6Q-MB-MPS (3A10.uh BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310301-NE-UBUNTU23169&grw.
TSCP
AI Chess Performance
Stress-NG
Test: NUMA
Stress-NG
Test: CPU Stress
Stress-NG
Test: Matrix Math
Stress-NG
Test: AVX-512 VNNI
SPECFEM3D
Model: Layered Halfspace
Stress-NG
Test: Vector Math
Stress-NG
Test: Floating Point
Stress-NG
Test: Matrix 3D Math
Helsing
Digit Range: 14 digit
Stress-NG
Test: Memory Copying
Stress-NG
Test: Vector Shuffle
Stress-NG
Test: Wide Vector Math
SPECFEM3D
Model: Mount St. Helens
Stress-NG
Test: Fused Multiply-Add
ASTC Encoder
Preset: Medium
SPECFEM3D
Model: Tomographic Model
Stress-NG
Test: IO_uring
SPECFEM3D
Model: Homogeneous Halfspace
Crafty
Elapsed Time
SPECFEM3D
Model: Water-layered Halfspace
Stress-NG
Test: Vector Floating Point
ASTC Encoder
Preset: Thorough
RawTherapee
Total Benchmark Time
libxsmm
M N K: 128
ASTC Encoder
Preset: Exhaustive
libxsmm
M N K: 256
KTX-Software toktx
Settings: Zstd Compression 9
libxsmm
M N K: 64
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
KTX-Software toktx
Settings: Zstd Compression 19
WebP Image Encode
Encode Settings: Default
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Quality 100, Lossless
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
SecureMark
Benchmark: SecureMark-TLS
Xmrig
Variant: Monero - Hash Count: 1M
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
Xmrig
Variant: Wownero - Hash Count: 1M
Graph500
Scale: 26
Graph500
Scale: 26
Graph500
Scale: 26
Graph500
Scale: 26
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: Bumper Beam
OpenRadioss
Model: Chrysler Neon 1M
OpenRadioss
Model: Cell Phone Drop Test
OpenRadioss
Model: Bird Strike on Windshield
OpenRadioss
Model: Rubber O-Ring Seal Installation
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
Timed MAFFT Alignment
Multiple Sequence Alignment - LSU RNA
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 32 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
TensorFlow
Device: CPU - Batch Size: 256 - Model: ResNet-50
CloverLeaf
Input: clover_bm
CloverLeaf
Input: clover_bm16
CloverLeaf
Input: clover_bm64_short
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
High Performance Conjugate Gradient
X Y Z: 144 144 144 - RT: 60
NAS Parallel Benchmarks
Test / Class: BT.C
NAS Parallel Benchmarks
Test / Class: CG.C
NAS Parallel Benchmarks
Test / Class: EP.D
NAS Parallel Benchmarks
Test / Class: FT.C
NAS Parallel Benchmarks
Test / Class: IS.D
NAS Parallel Benchmarks
Test / Class: LU.C
NAS Parallel Benchmarks
Test / Class: MG.C
NAS Parallel Benchmarks
Test / Class: SP.C
Rodinia
Test: OpenMP LavaMD
Rodinia
Test: OpenMP HotSpot3D
Rodinia
Test: OpenMP Leukocyte
Rodinia
Test: OpenMP CFD Solver
Rodinia
Test: OpenMP Streamcluster
NAMD
ATPase Simulation - 327,506 Atoms
oneDNN
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - 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: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
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-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ASKAP
Test: tConvolve MT - Gridding
ASKAP
Test: tConvolve MT - Degridding
ASKAP
Test: tConvolve MPI - Degridding
ASKAP
Test: tConvolve MPI - Gridding
ASKAP
Test: tConvolve OpenMP - Gridding
ASKAP
Test: tConvolve OpenMP - Degridding
ASKAP
Test: Hogbom Clean OpenMP
ACES DGEMM
Sustained Floating-Point Rate
Pennant
Test: sedovbig
Pennant
Test: leblancbig
Algebraic Multi-Grid Benchmark
LULESH
NWChem
Input: C240 Buckyball
QMCPACK
Input: H4_ae
QMCPACK
Input: Li2_STO_ae
QMCPACK
Input: LiH_ae_MSD
QMCPACK
Input: simple-H2O
QMCPACK
Input: O_ae_pyscf_UHF
QMCPACK
Input: FeCO6_b3lyp_gms
miniFE
Problem Size: Small
Xcompact3d Incompact3d
Input: X3D-benchmarking input.i3d
Xcompact3d Incompact3d
Input: input.i3d 129 Cells Per Direction
Xcompact3d Incompact3d
Input: input.i3d 193 Cells Per Direction
Coremark
CoreMark Size 666 - Iterations Per Second
Aircrack-ng
Primesieve
Length: 1e12
Primesieve
Length: 1e13
Timed Apache Compilation
Time To Compile
Stockfish
Total Time
7-Zip Compression
Test: Compression Rating
7-Zip Compression
Test: Decompression Rating
John The Ripper
Test: bcrypt
John The Ripper
Test: WPA PSK
John The Ripper
Test: Blowfish
John The Ripper
Test: HMAC-SHA512
John The Ripper
Test: MD5
Timed LLVM Compilation
Build System: Ninja
asmFish
1024 Hash Memory, 26 Depth
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: scrypt
Cpuminer-Opt
Algorithm: Deepcoin
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Blake-2 S
Cpuminer-Opt
Algorithm: Garlicoin
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: Myriad-Groestl
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
Timed Linux Kernel Compilation
Build: defconfig
Timed Linux Kernel Compilation
Build: allmodconfig
Sysbench
Test: RAM / Memory
Sysbench
Test: CPU
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Slow
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: Swirl
GraphicsMagick
Operation: Rotate
GraphicsMagick
Operation: Sharpen
GraphicsMagick
Operation: Enhanced
GraphicsMagick
Operation: Resizing
GraphicsMagick
Operation: Noise-Gaussian
GraphicsMagick
Operation: HWB Color Space
Tachyon
Total Time
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
x265
Video 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: Barbershop - Compute: CPU-Only
Blender
Blend File: Pabellon Barcelona - Compute: CPU-Only
uvg266
Video Input: Bosphorus 4K - Video Preset: Slow
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 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
Timed Godot Game Engine Compilation
Time To Compile
Embree
Binary: Pathtracer ISPC - Model: Crown
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
OpenVKL
Benchmark: vklBenchmarkCPU ISPC
LuxCoreRender
Scene: DLSC - Acceleration: CPU
LuxCoreRender
Scene: Danish Mood - Acceleration: CPU
LuxCoreRender
Scene: Orange Juice - Acceleration: CPU
LuxCoreRender
Scene: LuxCore Benchmark - Acceleration: CPU
LuxCoreRender
Scene: Rainbow Colors and Prism - Acceleration: CPU
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay
Benchmark: particle_volume/scivis/real_time
OSPRay
Benchmark: particle_volume/pathtracer/real_time
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 Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
rays1bench
Large Scene
Appleseed
Scene: Emily
Appleseed
Scene: Disney Material
Appleseed
Scene: Material Tester
Timed Gem5 Compilation
Time To Compile
Timed Mesa Compilation
Time To Compile
Timed Node.js Compilation
Time To Compile
Liquid-DSP
Threads: 64 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 128 - Buffer Length: 256 - Filter Length: 512
Liquid-DSP
Threads: 240 - Buffer Length: 256 - Filter Length: 512
DuckDB
Benchmark: IMDB
DuckDB
Benchmark: TPC-H Parquet
OpenSSL
Algorithm: SHA256
OpenSSL
Algorithm: SHA512
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: RSA4096
OpenSSL
Algorithm: ChaCha20
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: AES-256-GCM
OpenSSL
Algorithm: ChaCha20-Poly1305
ClickHouse
100M Rows Hits Dataset, First Run / Cold Cache
ClickHouse
100M Rows Hits Dataset, Second Run
ClickHouse
100M Rows Hits Dataset, Third Run
Memcached
Set To Get Ratio: 1:10
Memcached
Set To Get Ratio: 1:100
Redis
Test: GET - Parallel Connections: 500
Redis
Test: SET - Parallel Connections: 500
RocksDB
Test: Random Read
RocksDB
Test: Update Random
RocksDB
Test: Read While Writing
RocksDB
Test: Read Random Write Random
Apache Cassandra
Test: Writes
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
High Performance Conjugate Gradient
CPU Power Consumption Monitor
High Performance Conjugate Gradient
X Y Z: 144 144 144 - RT: 60
High Performance Conjugate Gradient
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: BT.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: CG.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: EP.D
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: FT.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: IS.D
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: LU.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: MG.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
NAS Parallel Benchmarks
Test / Class: SP.C
NAS Parallel Benchmarks
CPU Power Consumption Monitor
miniFE
Problem Size: Small
miniFE
CPU Power Consumption Monitor
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
CPU Power Consumption Monitor
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
CPU Power Consumption Monitor
CloverLeaf
CPU Power Consumption Monitor
CloverLeaf
CPU Power Consumption Monitor
CloverLeaf
CPU Power Consumption Monitor
Rodinia
CPU Power Consumption Monitor
Rodinia
CPU Power Consumption Monitor
Rodinia
CPU Power Consumption Monitor
Rodinia
CPU Power Consumption Monitor
Rodinia
CPU Power Consumption Monitor
NAMD
CPU Power Consumption Monitor
Algebraic Multi-Grid Benchmark
Algebraic Multi-Grid Benchmark
CPU Power Consumption Monitor
libxsmm
M N K: 128
libxsmm
CPU Power Consumption Monitor
libxsmm
M N K: 256
libxsmm
CPU Power Consumption Monitor
libxsmm
M N K: 64
libxsmm
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
CPU Power Consumption Monitor
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
CPU Power Consumption Monitor