new tests
Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and AMD Radeon RX 7900 XTX 24GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310311-PTS-NEWTESTS90&grs&sro.
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128
Rodinia
Test: OpenMP Streamcluster
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only
NAS Parallel Benchmarks
Test / Class: EP.C
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
John The Ripper
Test: Blowfish
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
Cpuminer-Opt
Algorithm: Skeincoin
Cpuminer-Opt
Algorithm: Blake-2 S
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: Stock - Precision: float-long - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
miniBUDE
Implementation: OpenMP - Input Deck: BM1
miniBUDE
Implementation: OpenMP - Input Deck: BM1
Cpuminer-Opt
Algorithm: Magi
Cpuminer-Opt
Algorithm: Ringcoin
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency
Cpuminer-Opt
Algorithm: Deepcoin
Stockfish
Total Time
Rodinia
Test: OpenMP CFD Solver
SPECFEM3D
Model: Tomographic Model
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
SPECFEM3D
Model: Homogeneous Halfspace
Darktable
Test: Server Rack - Acceleration: CPU-only
7-Zip Compression
Test: Decompression Rating
John The Ripper
Test: WPA PSK
Cpuminer-Opt
Algorithm: scrypt
SPECFEM3D
Model: Mount St. Helens
Cpuminer-Opt
Algorithm: Myriad-Groestl
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
OpenSSL
Algorithm: SHA256
John The Ripper
Test: MD5
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
Darktable
Test: Boat - Acceleration: CPU-only
QuantLib
Configuration: Multi-Threaded
ASTC Encoder
Preset: Medium
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
IndigoBench
Acceleration: CPU - Scene: Supercar
OpenSSL
Algorithm: AES-256-GCM
ASTC Encoder
Preset: Thorough
OpenSSL
Algorithm: AES-128-GCM
OpenSSL
Algorithm: SHA512
miniBUDE
Implementation: OpenMP - Input Deck: BM2
miniBUDE
Implementation: OpenMP - Input Deck: BM2
John The Ripper
Test: HMAC-SHA512
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
LuxCoreRender
Scene: Danish Mood - Acceleration: CPU
OpenSSL
Algorithm: ChaCha20
IndigoBench
Acceleration: CPU - Scene: Bedroom
OpenSSL
Algorithm: ChaCha20-Poly1305
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
Embree
Binary: Pathtracer ISPC - Model: Crown
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
Chaos Group V-RAY
Mode: CPU
SPECFEM3D
Model: Layered Halfspace
John The Ripper
Test: bcrypt
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
LuxCoreRender
Scene: LuxCore Benchmark - Acceleration: CPU
OpenRadioss
Model: Rubber O-Ring Seal Installation
NAS Parallel Benchmarks
Test / Class: LU.C
OpenSSL
Algorithm: RSA4096
uvg266
Video Input: Bosphorus 4K - Video Preset: Medium
asmFish
1024 Hash Memory, 26 Depth
nginx
Connections: 500
Rodinia
Test: OpenMP LavaMD
OpenSSL
Algorithm: RSA4096
SPECFEM3D
Model: Water-layered Halfspace
Blender
Blend File: BMW27 - Compute: CPU-Only
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
Timed Linux Kernel Compilation
Build: allmodconfig
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Medium
TensorFlow
Device: CPU - Batch Size: 16 - Model: ResNet-50
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128
nginx
Connections: 1000
LuxCoreRender
Scene: DLSC - Acceleration: CPU
OpenRadioss
Model: Cell Phone Drop Test
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
ASTC Encoder
Preset: Exhaustive
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128
Blender
Blend File: Fishy Cat - Compute: CPU-Only
uvg266
Video Input: Bosphorus 4K - Video Preset: Super Fast
NAS Parallel Benchmarks
Test / Class: BT.C
7-Zip Compression
Test: Compression Rating
Timed Linux Kernel Compilation
Build: defconfig
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
Natron
Input: Spaceship
Darktable
Test: Masskrug - Acceleration: CPU-only
Xmrig
Variant: Wownero - Hash Count: 1M
uvg266
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
Liquid-DSP
Threads: 32 - Buffer Length: 256 - Filter Length: 512
TensorFlow
Device: CPU - Batch Size: 64 - Model: ResNet-50
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
LuxCoreRender
Scene: Rainbow Colors and Prism - Acceleration: CPU
Timed Godot Game Engine Compilation
Time To Compile
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
Cpuminer-Opt
Algorithm: Garlicoin
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
Timed Node.js Compilation
Time To Compile
Timed LLVM Compilation
Build System: Ninja
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay
Benchmark: gravity_spheres_volume/dim_512/ao/real_time
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
LuxCoreRender
Scene: Orange Juice - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
uvg266
Video Input: Bosphorus 4K - Video Preset: Very Fast
OpenVKL
Benchmark: vklBenchmarkCPU ISPC
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
QMCPACK
Input: H4_ae
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenRadioss
Model: Bird Strike on Windshield
OSPRay
Benchmark: gravity_spheres_volume/dim_512/scivis/real_time
QMCPACK
Input: Li2_STO_ae
NAMD
ATPase Simulation - 327,506 Atoms
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Ultra Fast
SVT-HEVC
Tuning: 7 - Input: Bosphorus 4K
NAS Parallel Benchmarks
Test / Class: CG.C
OSPRay
Benchmark: particle_volume/ao/real_time
OSPRay
Benchmark: particle_volume/scivis/real_time
SVT-VP9
Tuning: Visual Quality Optimized - Input: Bosphorus 4K
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Execution Time
CloverLeaf
Input: clover_bm
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
libavif avifenc
Encoder Speed: 6, Lossless
OSPRay
Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time
Timed Mesa Compilation
Time To Compile
simdjson
Throughput Test: PartialTweets
simdjson
Throughput Test: DistinctUserID
NAS Parallel Benchmarks
Test / Class: FT.C
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
Selenium
Benchmark: WASM collisionDetection - Browser: Google Chrome
SVT-VP9
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 2
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Super Fast
NAS Parallel Benchmarks
Test / Class: SP.B
Kvazaar
Video Input: Bosphorus 4K - Video Preset: Very Fast
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
Memcached
Set To Get Ratio: 1:10
OpenRadioss
Model: Bumper Beam
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
SVT-HEVC
Tuning: 10 - Input: Bosphorus 4K
PostgreSQL
Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency
libavif avifenc
Encoder Speed: 6
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Darktable
Test: Server Room - Acceleration: CPU-only
x265
Video Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Memcached
Set To Get Ratio: 1:100
OpenFOAM
Input: drivaerFastback, Small Mesh Size - Mesh Time
NAS Parallel Benchmarks
Test / Class: SP.C
Y-Cruncher
Pi Digits To Calculate: 500M
Xmrig
Variant: Monero - Hash Count: 1M
OSPRay
Benchmark: particle_volume/pathtracer/real_time
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
Liquid-DSP
Threads: 8 - Buffer Length: 256 - Filter Length: 512
VVenC
Video Input: Bosphorus 4K - Video Preset: Fast
Selenium
Benchmark: Octane - Browser: Google Chrome
DuckDB
Benchmark: IMDB
OpenVINO
Model: Face Detection FP16 - Device: CPU
Selenium
Benchmark: WASM imageConvolute - Browser: Google Chrome
High Performance Conjugate Gradient
X Y Z: 104 104 104 - RT: 60
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Rodinia
Test: OpenMP HotSpot3D
OpenFOAM
Input: drivaerFastback, Medium Mesh Size - Execution Time
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128
PyBench
Total For Average Test Times
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
QuantLib
Configuration: Single-Threaded
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256
Liquid-DSP
Threads: 16 - Buffer Length: 256 - Filter Length: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256
RawTherapee
Total Benchmark Time
Ngspice
Circuit: C2670
SVT-VP9
Tuning: VMAF Optimized - Input: Bosphorus 4K
VVenC
Video Input: Bosphorus 4K - Video Preset: Faster
Ngspice
Circuit: C7552
Rodinia
Test: OpenMP Leukocyte
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512
LibRaw
Post-Processing Benchmark
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512
Selenium
Benchmark: WASM imageConvolute - Browser: Firefox
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512
PHPBench
PHP Benchmark Suite
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
simdjson
Throughput Test: TopTweet
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256
PyPerformance
Benchmark: crypto_pyaes
PyPerformance
Benchmark: json_loads
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double - X Y Z: 256
Selenium
Benchmark: Kraken - Browser: Firefox
Selenium
Benchmark: WASM collisionDetection - Browser: Firefox
WebP Image Encode
Encode Settings: Quality 100, Highest Compression
simdjson
Throughput Test: LargeRandom
WebP Image Encode
Encode Settings: Quality 100
WebP Image Encode
Encode Settings: Quality 100, Lossless, Highest Compression
PyPerformance
Benchmark: regex_compile
Selenium
Benchmark: Jetstream 2 - Browser: Firefox
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
Node.js V8 Web Tooling Benchmark
WebP Image Encode
Encode Settings: Quality 100, Lossless
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512
simdjson
Throughput Test: Kostya
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float - X Y Z: 512
Selenium
Benchmark: Octane - Browser: Firefox
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
NAS Parallel Benchmarks
Test / Class: MG.C
Selenium
Benchmark: Jetstream 2 - Browser: Google Chrome
Selenium
Benchmark: Kraken - Browser: Google Chrome
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double - X Y Z: 256
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
DuckDB
Benchmark: TPC-H Parquet
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
GIMP
Test: rotate
Selenium
Benchmark: Speedometer - Browser: Google Chrome
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
Selenium
Benchmark: Speedometer - Browser: Firefox
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
OpenVINO
Model: Person Detection FP32 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double - X Y Z: 512
GIMP
Test: resize
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
PyPerformance
Benchmark: python_startup
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float - X Y Z: 512
CloverLeaf
Input: clover_bm16
GIMP
Test: auto-levels
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double - X Y Z: 512
Selenium
Benchmark: PSPDFKit WASM - Browser: Google Chrome
CloverLeaf
Input: clover_bm64_short
GIMP
Test: unsharp-mask
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512
Selenium
Benchmark: PSPDFKit WASM - Browser: Firefox
QMCPACK
Input: O_ae_pyscf_UHF
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float - X Y Z: 256
QMCPACK
Input: simple-H2O
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256
QMCPACK
Input: FeCO6_b3lyp_gms
QMCPACK
Input: LiH_ae_MSD
GROMACS
Implementation: MPI CPU - Input: water_GMX50_bare
Timed Gem5 Compilation
Time To Compile
Phoronix Test Suite v10.8.5