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2 x Intel Xeon Max 9480 testing with a Supermicro X13DEM v1.10 (1.3 BIOS) and ASPEED on Fedora Linux 38 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2310315-NE-FF085987896&sro&grs.
Cpuminer-Opt
Algorithm: Ringcoin
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
CloverLeaf
Input: clover_bm64_short
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float - X Y Z: 256
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: float - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512
OSPRay Studio
Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
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: 512
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
OpenVINO
Model: Person Detection FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
OpenVINO
Model: Machine Translation EN To DE FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float - 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: Stock - Precision: float - X Y Z: 512
Cpuminer-Opt
Algorithm: Deepcoin
Cpuminer-Opt
Algorithm: scrypt
QMCPACK
Input: O_ae_pyscf_UHF
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256
OSPRay Studio
Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
QMCPACK
Input: FeCO6_b3lyp_gms
CloverLeaf
Input: clover_bm
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
QMCPACK
Input: H4_ae
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double - X Y Z: 256
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256
OpenVINO
Model: Road Segmentation ADAS FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
CloverLeaf
Input: clover_bm16
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
QMCPACK
Input: LiH_ae_MSD
Cpuminer-Opt
Algorithm: Garlicoin
OSPRay Studio
Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU
OSPRay Studio
Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Person Detection FP32 - Device: CPU
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
Cpuminer-Opt
Algorithm: LBC, LBRY Credits
OpenVINO
Model: Vehicle Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float - X Y Z: 512
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
Cpuminer-Opt
Algorithm: Quad SHA-256, Pyrite
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float - X Y Z: 256
Cpuminer-Opt
Algorithm: Triple SHA-256, Onecoin
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16 - Device: CPU
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
OpenVINO
Model: Face Detection Retail FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
QuantLib
Configuration: Multi-Threaded
OpenVINO
Model: Face Detection FP16-INT8 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
OpenVINO
Model: Weld Porosity Detection FP16 - Device: CPU
Cpuminer-Opt
Algorithm: Blake-2 S
HeFFTe - Highly Efficient FFT for Exascale
Test: c2c - Backend: Stock - Precision: double - X Y Z: 256
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
Timed Gem5 Compilation
Time To Compile
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: double - X Y Z: 512
OpenVINO
Model: Face Detection FP16 - Device: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
OpenVINO
Model: Face Detection FP16 - Device: CPU
OSPRay Studio
Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Person Vehicle Bike Detection FP16 - Device: CPU
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: Stock - Precision: double-long - X Y Z: 512
Cpuminer-Opt
Algorithm: Myriad-Groestl
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
OpenVINO
Model: Road Segmentation ADAS FP16-INT8 - Device: CPU
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
QMCPACK
Input: simple-H2O
Cpuminer-Opt
Algorithm: Magi
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16-INT8 - Device: CPU
OpenVINO
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
Cpuminer-Opt
Algorithm: Skeincoin
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
OpenVINO
Model: Handwritten English Recognition FP16 - Device: CPU
QuantLib
Configuration: Single-Threaded
QMCPACK
Input: Li2_STO_ae
HeFFTe - Highly Efficient FFT for Exascale
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512
OpenVINO
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
OSPRay Studio
Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU
Phoronix Test Suite v10.8.4