new-sat

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/2311059-NE-NEWSAT27963&grs&sor.

CloverLeaf

Input: clover_bm16

CloverLeaf

Input: clover_bm

CloverLeaf

Input: clover_bm64_short

OpenVINO

Model: Face Detection FP16 - Device: CPU

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128

Cpuminer-Opt

Algorithm: Ringcoin

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

OpenVINO

Model: Face Detection FP16 - Device: CPU

Cpuminer-Opt

Algorithm: Skeincoin

Cpuminer-Opt

Algorithm: Blake-2 S

Cpuminer-Opt

Algorithm: Magi

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128

Cpuminer-Opt

Algorithm: Quad SHA-256, Pyrite

Cpuminer-Opt

Algorithm: Deepcoin

Cpuminer-Opt

Algorithm: Triple SHA-256, Onecoin

Cpuminer-Opt

Algorithm: Myriad-Groestl

Cpuminer-Opt

Algorithm: scrypt

OSPRay Studio

Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OSPRay Studio

Camera: 3 - 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: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU

OpenVINO

Model: Road Segmentation ADAS FP16 - Device: CPU

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 4K - 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: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OSPRay Studio

Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenVINO

Model: Person Detection FP32 - Device: CPU

OSPRay Studio

Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OSPRay Studio

Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16 - Device: 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: 32 - Renderer: Path Tracer - Acceleration: CPU

Cpuminer-Opt

Algorithm: Garlicoin

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128

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 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128

Timed Gem5 Compilation

Time To Compile

OpenVINO

Model: Face Detection Retail FP16 - Device: CPU

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenVINO

Model: Handwritten English Recognition FP16-INT8 - Device: CPU

OpenVINO

Model: Road Segmentation ADAS FP16-INT8 - Device: CPU

OpenVINO

Model: Face Detection Retail FP16-INT8 - Device: CPU

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: Stock - Precision: float - X Y Z: 128

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: Stock - Precision: float - X Y Z: 256

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: Stock - Precision: float - X Y Z: 256

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: Stock - Precision: float - X Y Z: 512

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: Stock - Precision: double - X Y Z: 128

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: float-long - X Y Z: 128

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512

C-Blosc

Test: blosclz bitshuffle - Buffer Size: 128MB

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256

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: 512

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256

C-Blosc

Test: blosclz bitshuffle - Buffer Size: 256MB

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256

QMCPACK

Input: O_ae_pyscf_UHF

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: Stock - Precision: double-long - X Y Z: 128

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: FFTW - Precision: float - X Y Z: 512

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256

C-Blosc

Test: blosclz shuffle - Buffer Size: 16MB

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: FFTW - Precision: double - X Y Z: 1024

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: Stock - Precision: double - X Y Z: 256

C-Blosc

Test: blosclz shuffle - Buffer Size: 64MB

HeFFTe - Highly Efficient FFT for Exascale

Test: c2c - Backend: Stock - Precision: double - X Y Z: 256

C-Blosc

Test: blosclz shuffle - Buffer Size: 8MB

C-Blosc

Test: blosclz shuffle - Buffer Size: 32MB

HeFFTe - Highly Efficient FFT for Exascale

Test: r2c - Backend: Stock - Precision: double - X Y Z: 512

QMCPACK

Input: Li2_STO_ae

C-Blosc

Test: blosclz shuffle - Buffer Size: 128MB

C-Blosc

Test: blosclz noshuffle - Buffer Size: 128MB