AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.04 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 2306183-PTS-NEWSUN6339
new sun,
"Palabos 2.3 - Grid Size: 400",
Higher Results Are Better
"a",
"b",110.739,110.692,110.839
"c",
"Palabos 2.3 - Grid Size: 500",
Higher Results Are Better
"a",
"b",114.298,114.235,114.552
"c",
"Palabos 2.3 - Grid Size: 100",
Higher Results Are Better
"a",
"b",154.164,155.041,154.816
"c",
"Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 - Input: Dust 2D tau100.0",
Lower Results Are Better
"a",
"b",136.906,137.361,136.703
"c",
"GPAW 23.6 - Input: Carbon Nanotube",
Lower Results Are Better
"a",
"b",106.38,106.838,106.677
"c",
"CP2K Molecular Dynamics 2023.1 - Input: Fayalite-FIST",
Lower Results Are Better
"a",
"b",
"c",
"Kripke 1.2.6 - ",
Higher Results Are Better
"a",
"b",134341800,132315000,137010300
"c",
"CP2K Molecular Dynamics 2023.1 - Input: H2O-DFT-LS",
Lower Results Are Better
"a",
"b",
"c",
"CP2K Molecular Dynamics 2023.1 - Input: H20-64",
Lower Results Are Better
"a",
"b",
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",
"b",12.5007,12.6657,12.6495
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",12.6327,12.5577,12.5658
"c",
"Monte Carlo Simulations of Ionised Nebulae 2.02.73.3 - Input: Gas HII40",
Lower Results Are Better
"a",
"b",17.059,17.127,17.219
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",12.6731,12.8298,12.7804
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",
"b",12.7531,12.8223,12.9364
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",29.7927,29.9232,29.9057
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",
"b",29.8331,29.8676,29.7672
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",34.4167,34.346,34.3098
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double - X Y Z: 256",
Higher Results Are Better
"a",
"b",34.3141,34.3454,34.4523
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",
"b",34.3101,34.1718,34.6152
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",34.4289,34.3392,34.1619
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",37.4888,37.3532,37.1043
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",
"b",37.4426,37.5237,37.4545
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",
"b",89.1955,86.4827,86.7032
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",87.1235,87.354,86.8641
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float - X Y Z: 256",
Higher Results Are Better
"a",
"b",101.442,101.501,101.831
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256",
Higher Results Are Better
"a",
"b",102.593,102.011,99.1973
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",
"b",31.5461,31.4034,31.8014
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",31.5659,31.6267,31.6745
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",33.4528,33.5407,33.708
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",
"b",34.186,33.7087,33.2969
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",59.1535,58.6116,57.7615
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",
"b",60.7358,60.0787,60.2928
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: double - X Y Z: 128",
Higher Results Are Better
"a",
"b",58.1956,58.793,58.272
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",59.7324,60.4231,60.1729
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",60.2369,59.7518,59.9969
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",
"b",61.4375,62.638,61.6009
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: Stock - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",
"b",59.5171,59.6617,59.6077
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",62.4,60.9691,61.9653
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",
"b",103.271,104.65,105.197
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128",
Higher Results Are Better
"a",
"b",115.176,112.34,113.2
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",100.335,104.757,104.426
"c",
"HeFFTe - Highly Efficient FFT for Exascale 2.3 - Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128",
Higher Results Are Better
"a",
"b",109.871,110.857,112.106
"c",