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
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.
a:
Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
c:
Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.04, Kernel: 6.2.0-20-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
Palabos 2.3
Grid Size: 400
Mega Site Updates Per Second > Higher Is Better
a . 110.66 |===================================================================
b . 110.76 |===================================================================
c . 110.74 |===================================================================
Palabos 2.3
Grid Size: 500
Mega Site Updates Per Second > Higher Is Better
a . 114.30 |===================================================================
b . 114.36 |===================================================================
c . 114.31 |===================================================================
Palabos 2.3
Grid Size: 100
Mega Site Updates Per Second > Higher Is Better
a . 154.43 |===================================================================
b . 154.67 |===================================================================
c . 154.35 |===================================================================
Monte Carlo Simulations of Ionised Nebulae 2.02.73.3
Input: Dust 2D tau100.0
Seconds < Lower Is Better
a . 141.94 |===================================================================
b . 136.99 |=================================================================
c . 136.20 |================================================================
GPAW 23.6
Input: Carbon Nanotube
Seconds < Lower Is Better
a . 106.14 |===================================================================
b . 106.63 |===================================================================
c . 106.68 |===================================================================
CP2K Molecular Dynamics 2023.1
Input: Fayalite-FIST
Seconds < Lower Is Better
a . 151.86 |=================================================================
b . 153.86 |==================================================================
c . 156.12 |===================================================================
Kripke 1.2.6
Throughput FoM > Higher Is Better
a . 132875000 |===============================================================
b . 134555700 |================================================================
c . 132703600 |===============================================================
CP2K Molecular Dynamics 2023.1
Input: H2O-DFT-LS
Seconds < Lower Is Better
CP2K Molecular Dynamics 2023.1
Input: H20-64
Seconds < Lower Is Better
a . 40.67 |==================================================================
b . 41.51 |===================================================================
c . 41.82 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 12.53 |====================================================================
b . 12.61 |====================================================================
c . 12.60 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 12.62 |====================================================================
b . 12.59 |====================================================================
c . 12.62 |====================================================================
Monte Carlo Simulations of Ionised Nebulae 2.02.73.3
Input: Gas HII40
Seconds < Lower Is Better
a . 16.91 |===================================================================
b . 17.14 |====================================================================
c . 17.03 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 12.76 |====================================================================
b . 12.76 |====================================================================
c . 12.75 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 12.83 |====================================================================
b . 12.84 |====================================================================
c . 12.78 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 29.70 |====================================================================
b . 29.87 |====================================================================
c . 29.88 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 29.83 |====================================================================
b . 29.82 |====================================================================
c . 29.80 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 34.30 |====================================================================
b . 34.36 |====================================================================
c . 34.51 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
a . 34.22 |====================================================================
b . 34.37 |====================================================================
c . 34.40 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 34.67 |====================================================================
b . 34.37 |===================================================================
c . 34.22 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 34.70 |====================================================================
b . 34.31 |===================================================================
c . 34.13 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 37.35 |===================================================================
b . 37.32 |===================================================================
c . 37.84 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 37.43 |====================================================================
b . 37.47 |====================================================================
c . 37.54 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 86.06 |===================================================================
b . 87.46 |====================================================================
c . 87.20 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 87.46 |====================================================================
b . 87.11 |====================================================================
c . 86.48 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
a . 98.69 |=================================================================
b . 101.59 |===================================================================
c . 100.27 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
a . 101.92 |===================================================================
b . 101.27 |===================================================================
c . 100.40 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 32.05 |====================================================================
b . 31.58 |===================================================================
c . 32.15 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 31.63 |===================================================================
b . 31.62 |===================================================================
c . 31.95 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 33.42 |====================================================================
b . 33.57 |====================================================================
c . 32.80 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 33.08 |===================================================================
b . 33.73 |====================================================================
c . 33.25 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 58.82 |====================================================================
b . 58.51 |====================================================================
c . 58.92 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 60.70 |====================================================================
b . 60.37 |====================================================================
c . 60.34 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
a . 58.59 |====================================================================
b . 58.42 |====================================================================
c . 58.24 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 60.56 |====================================================================
b . 60.11 |===================================================================
c . 60.55 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 59.69 |====================================================================
b . 60.00 |====================================================================
c . 60.10 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 62.04 |==================================================================
b . 61.89 |==================================================================
c . 63.90 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 59.19 |==================================================================
b . 59.60 |==================================================================
c . 61.23 |====================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 61.28 |===================================================================
b . 61.78 |====================================================================
c . 61.29 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 103.58 |==================================================================
b . 104.37 |==================================================================
c . 105.45 |===================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
a . 112.30 |==================================================================
b . 113.57 |===================================================================
c . 112.33 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 105.45 |===================================================================
b . 103.17 |==================================================================
c . 103.77 |==================================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
a . 113.16 |===================================================================
b . 110.95 |==================================================================
c . 110.74 |==================================================================