Tests for a future article. 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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2310318-NE-FF806987896
ff
Tests for a future article. 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.
,,"a","b"
Processor,,2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads),2 x Intel Xeon Max 9480 @ 3.50GHz (112 Cores / 224 Threads)
Motherboard,,Supermicro X13DEM v1.10 (1.3 BIOS),Supermicro X13DEM v1.10 (1.3 BIOS)
Chipset,,Intel Device 1bce,Intel Device 1bce
Memory,,512GB,512GB
Disk,,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007,2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007
Graphics,,ASPEED,ASPEED
Monitor,,VE228,VE228
Network,,2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb,2 x Broadcom BCM57508 NetXtreme-E 10Gb/25Gb/40Gb/50Gb/100Gb/200Gb
OS,,Fedora Linux 38,Fedora Linux 38
Kernel,,6.2.15-300.fc38.x86_64 (x86_64),6.2.15-300.fc38.x86_64 (x86_64)
Compiler,,GCC 13.1.1 20230511 + Clang 16.0.3 + LLVM 16.0.3,GCC 13.1.1 20230511 + Clang 16.0.3 + LLVM 16.0.3
File-System,,xfs,xfs
Screen Resolution,,1920x1080,1920x1080
,,"a","b"
"Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,1521.29,17510
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,160.38,201.743
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,156.61,125.233
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,2528.2,2154.43
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,14.59,17.12
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,69.5656,79.9377
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,125.631,143.953
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,295.486,336.543
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,66307,58605
"CloverLeaf - Input: clover_bm64_short (sec)",LIB,69.07,61.86
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,143.889,159.639
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,72.125,79.7728
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,80.6584,72.9901
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,66.9899,73.9725
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,189.416,173.051
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1856,1697
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,74.4546,81.4263
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,333.309,306.553
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,362.6,333.949
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,318.074,345.077
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,178.389,165.2
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,156.914,168.986
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,118.069,127.051
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.58,0.54
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,113.205,105.723
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,131.835,140.671
"OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,32908,35051
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,162.588,152.696
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,152.226,143.878
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,13423,12752
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,461.84,485.89
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,79.98,76.05
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,85.7117,90.1166
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,134.38,141.13
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,275.1,261.98
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,108.79,103.742
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1672,1753
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,81.6107,77.9418
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,16130,16884
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,153.009,160.125
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,77.5444,74.1161
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,281.35,268.915
"Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,24960,23870
"Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,864.21,826.56
"QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,313.48,300.34
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,112.175,107.579
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,539,562
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,344.022,358.685
"OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7954,8287
"QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,150.81,157.11
"CloverLeaf - Input: clover_bm (sec)",LIB,38.11,36.59
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,166.289,159.724
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,127.501,132.462
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,59552,57371
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6558,6797
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,139.874,144.928
"QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,17.03,17.62
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,180.517,174.894
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,32.21,33.15
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,172.216,177.195
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,1146.17,1114.41
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,314.76,307.2
"CloverLeaf - Input: clover_bm16 (sec)",LIB,540.77,553.98
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1995,2043
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,461,472
"QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,118.27,121
"Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,21770,21290
"OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,435,444
"OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,32679,32018
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,432.58,441.39
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,85.38,83.7
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,5009.99,4915.16
"Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,44560,45400
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,22.32,22.74
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,76079.37,77488.89
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,81.8561,83.2926
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,144.988,142.489
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,82.7703,84.1653
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,16074.67,15816.99
"Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,205870,202620
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,108.822,107.145
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,178.871,181.545
"Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,293830,289590
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,11244.03,11084.65
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.94,10.08
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,113019.68,111459.35
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,324.39,320.18
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,6.93,7.02
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,16277.65,16076.48
"QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,254351.8,251353.6
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,344.53,348.63
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,107.218,105.962
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,6.77,6.85
"Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,385610,381310
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double - X Y Z: 256 (GFLOP/s)",HIB,93.0989,92.1398
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,36981,37359
"Timed Gem5 Compilation - Time To Compile (sec)",LIB,271.371,268.693
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,164.452,162.927
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,138.996,137.713
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,111.23,110.31
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,18.3,18.45
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,331.96,334.67
"OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,68616,69170
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,6106.89,6061.06
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,141.025,139.99
"HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,70.9057,71.425
"Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,34040,33810
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1497.11,1487.31
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,74.75,75.2
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,107.367,106.777
"QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,36.365,36.561
"Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,1943.59,1953.44
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,25636.44,25515.81
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7000,6968
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,2378.91,2387.67
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,47.04,46.87
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,4.24,4.25
"Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,98770,98550
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,3570.4,3563.39
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,31.34,31.4
"QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3374.9,3380.5
"QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,135.63,135.73
"HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,282.967,283.078
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.34,0.34
"OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14526,14526