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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.

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C++ Boost Tests 3 Tests
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October 31 2023
  1 Hour, 48 Minutes
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October 31 2023
  1 Hour, 47 Minutes
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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" "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,111.23,110.31 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,461.84,485.89 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,432.58,441.39 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,2528.2,2154.43 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,324.39,320.18 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,11244.03,11084.65 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,1146.17,1114.41 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,5009.99,4915.16 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,16277.65,16076.48 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,16074.67,15816.99 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,1497.11,1487.31 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,275.1,261.98 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,25636.44,25515.81 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,6106.89,6061.06 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,3570.4,3563.39 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,76079.37,77488.89 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,2378.91,2387.67 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,113019.68,111459.35 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,118.069,127.051 "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: c2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,153.009,160.125 "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: float - X Y Z: 256 (GFLOP/s)",HIB,333.309,306.553 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,314.76,307.2 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,81.6107,77.9418 "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: c2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,82.7703,84.1653 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,107.218,105.962 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256 (GFLOP/s)",HIB,178.871,181.545 "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: r2c - Backend: FFTW - Precision: double - X Y Z: 128 (GFLOP/s)",HIB,107.367,106.777 "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: r2c - Backend: FFTW - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,152.226,143.878 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128 (GFLOP/s)",HIB,139.874,144.928 "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: Stock - Precision: float - X Y Z: 512 (GFLOP/s)",HIB,281.35,268.915 "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 - X Y Z: 256 (GFLOP/s)",HIB,93.0989,92.1398 "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: 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 - X Y Z: 256 (GFLOP/s)",HIB,180.517,174.894 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double - X Y Z: 512 (GFLOP/s)",HIB,138.996,137.713 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128 (GFLOP/s)",HIB,127.501,132.462 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,172.216,177.195 "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: 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: FFTW - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,295.486,336.543 "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: double-long - X Y Z: 128 (GFLOP/s)",HIB,69.5656,79.9377 "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: 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-long - X Y Z: 128 (GFLOP/s)",HIB,108.79,103.742 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,189.416,173.051 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,156.61,125.233 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 (GFLOP/s)",HIB,112.175,107.579 "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: double-long - X Y Z: 512 (GFLOP/s)",HIB,143.889,159.639 "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: r2c - Backend: Stock - Precision: float-long - X Y Z: 256 (GFLOP/s)",HIB,344.022,358.685 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512 (GFLOP/s)",HIB,282.967,283.078 "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-long - X Y Z: 256 (GFLOP/s)",HIB,85.7117,90.1166 "HeFFTe - Highly Efficient FFT for Exascale - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,70.9057,71.425 "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: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 (GFLOP/s)",HIB,160.38,201.743 "HeFFTe - Highly Efficient FFT for Exascale - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 (GFLOP/s)",HIB,131.835,140.671 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,1943.59,1953.44 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,864.21,826.56 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,24960,23870 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,1521.29,17510 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,385610,381310 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,21770,21290 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,98770,98550 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,34040,33810 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,44560,45400 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,205870,202620 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,293830,289590 "QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,254351.8,251353.6 "QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,3374.9,3380.5 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1672,1753 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1856,1697 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,1995,2043 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,32679,32018 "OSPRay Studio - Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,59552,57371 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,32908,35051 "OSPRay Studio - Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,66307,58605 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,36981,37359 "OSPRay Studio - Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,68616,69170 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,435,444 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,461,472 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,539,562 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,6558,6797 "OSPRay Studio - Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,13423,12752 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7000,6968 "OSPRay Studio - Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,14526,14526 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,7954,8287 "OSPRay Studio - Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU (ms)",LIB,16130,16884 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,331.96,334.67 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,79.98,76.05 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,85.38,83.7 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,14.59,17.12 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,344.53,348.63 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.94,10.08 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,32.21,33.15 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,22.32,22.74 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,6.77,6.85 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,6.93,7.02 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,74.75,75.2 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,134.38,141.13 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,4.24,4.25 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,18.3,18.45 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,31.34,31.4 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.58,0.54 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,47.04,46.87 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.34,0.34 "CloverLeaf - Input: clover_bm (sec)",LIB,38.11,36.59 "CloverLeaf - Input: clover_bm16 (sec)",LIB,540.77,553.98 "CloverLeaf - Input: clover_bm64_short (sec)",LIB,69.07,61.86 "Timed Gem5 Compilation - Time To Compile (sec)",LIB,271.371,268.693 "QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,17.03,17.62 "QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,135.63,135.73 "QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,118.27,121 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,36.365,36.561 "QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,313.48,300.34 "QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,150.81,157.11