AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 22.04 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 2307202-NE-EPYC9684X88
EPYC 9684X 1P
AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
EPYC 9684X:
Processor: AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Vulkan: 1.3.224, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768
AMD 9684X:
Processor: AMD EPYC 9684X 96-Core @ 2.55GHz (96 Cores / 192 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 768GB, Disk: 2 x 1920GB SAMSUNG MZWLJ1T9HBJR-00007, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 22.04, Kernel: 5.19.0-41-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Vulkan: 1.3.224, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1024x768
Stress-NG 0.15.10
Test: CPU Cache
Bogo Ops/s > Higher Is Better
EPYC 9684X . 1373344.98 |====================================================
AMD 9684X .. 1426891.13 |======================================================
Stress-NG 0.15.10
Test: CPU Stress
Bogo Ops/s > Higher Is Better
EPYC 9684X . 213036.81 |=======================================================
AMD 9684X .. 214798.32 |=======================================================
Stress-NG 0.15.10
Test: Matrix Math
Bogo Ops/s > Higher Is Better
EPYC 9684X . 418126.43 |=======================================================
AMD 9684X .. 418120.08 |=======================================================
Stress-NG 0.15.10
Test: Vector Math
Bogo Ops/s > Higher Is Better
EPYC 9684X . 545786.37 |=======================================================
AMD 9684X .. 545747.29 |=======================================================
Stress-NG 0.15.10
Test: Vector Shuffle
Bogo Ops/s > Higher Is Better
EPYC 9684X . 63766.48 |========================================================
AMD 9684X .. 63760.46 |========================================================
Stress-NG 0.15.10
Test: Wide Vector Math
Bogo Ops/s > Higher Is Better
EPYC 9684X . 3480531.79 |======================================================
AMD 9684X .. 3484985.88 |======================================================
Stress-NG 0.15.10
Test: Vector Floating Point
Bogo Ops/s > Higher Is Better
EPYC 9684X . 256936.31 |=======================================================
AMD 9684X .. 254718.10 |=======================================================
ASTC Encoder 4.0
Preset: Fast
MT/s > Higher Is Better
EPYC 9684X . 1019.07 |=========================================================
AMD 9684X .. 1009.89 |========================================================
ASTC Encoder 4.0
Preset: Medium
MT/s > Higher Is Better
EPYC 9684X . 421.44 |==========================================================
AMD 9684X .. 421.97 |==========================================================
ASTC Encoder 4.0
Preset: Thorough
MT/s > Higher Is Better
EPYC 9684X . 56.89 |===========================================================
AMD 9684X .. 56.90 |===========================================================
ASTC Encoder 4.0
Preset: Exhaustive
MT/s > Higher Is Better
EPYC 9684X . 6.1412 |==========================================================
AMD 9684X .. 6.1406 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 68.16 |===========================================================
AMD 9684X .. 68.28 |===========================================================
Xmrig 6.18.1
Variant: Monero - Hash Count: 1M
H/s > Higher Is Better
EPYC 9684X . 69478.2 |=========================================================
AMD 9684X .. 69671.8 |=========================================================
Xmrig 6.18.1
Variant: Wownero - Hash Count: 1M
H/s > Higher Is Better
EPYC 9684X . 74195.0 |=========================================================
AMD 9684X .. 74288.7 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 111.00 |========================================================
AMD 9684X .. 114.31 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 82.56 |=========================================================
AMD 9684X .. 85.15 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 332.91 |==========================================================
AMD 9684X .. 327.73 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 89.80 |===========================================================
AMD 9684X .. 82.39 |======================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 182.81 |==========================================================
AMD 9684X .. 179.54 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 184.35 |=========================================================
AMD 9684X .. 187.19 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 115.82 |==========================================================
AMD 9684X .. 116.29 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 144.62 |==========================================================
AMD 9684X .. 143.31 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 343.72 |==========================================================
AMD 9684X .. 339.17 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 83.89 |===========================================================
AMD 9684X .. 82.85 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 178.48 |==========================================================
AMD 9684X .. 175.82 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 194.02 |==========================================================
AMD 9684X .. 189.44 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 149.98 |==========================================================
AMD 9684X .. 149.16 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 110.02 |=========================================================
AMD 9684X .. 111.54 |==========================================================
GROMACS 2023
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
EPYC 9684X . 11.80 |===========================================================
AMD 9684X .. 11.80 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 170.73 |==========================================================
AMD 9684X .. 167.19 |=========================================================
libxsmm 2-1.17-3645
M N K: 128
GFLOPS/s > Higher Is Better
EPYC 9684X . 3119.7 |==========================================================
AMD 9684X .. 3091.5 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 125.24 |==========================================================
AMD 9684X .. 125.70 |==========================================================
libxsmm 2-1.17-3645
M N K: 256
GFLOPS/s > Higher Is Better
EPYC 9684X . 3177.4 |==========================================================
AMD 9684X .. 3131.5 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 136.46 |==========================================================
AMD 9684X .. 135.56 |==========================================================
libxsmm 2-1.17-3645
M N K: 32
GFLOPS/s > Higher Is Better
EPYC 9684X . 1299.8 |==========================================================
AMD 9684X .. 1300.7 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 331.61 |==========================================================
AMD 9684X .. 321.42 |========================================================
libxsmm 2-1.17-3645
M N K: 64
GFLOPS/s > Higher Is Better
EPYC 9684X . 2479.3 |==========================================================
AMD 9684X .. 2472.2 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 70.12 |===========================================================
AMD 9684X .. 68.87 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 130.75 |==========================================================
AMD 9684X .. 128.61 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 68.82 |===========================================================
AMD 9684X .. 68.37 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 177.71 |==========================================================
AMD 9684X .. 176.30 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 174.00 |=========================================================
AMD 9684X .. 176.45 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 154.31 |==========================================================
AMD 9684X .. 155.39 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 126.30 |========================================================
AMD 9684X .. 130.48 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 186.05 |=========================================================
AMD 9684X .. 188.22 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 155.71 |==========================================================
AMD 9684X .. 155.66 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 315.15 |==========================================================
AMD 9684X .. 312.39 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 318.53 |========================================================
AMD 9684X .. 332.76 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: float - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 336.45 |=========================================================
AMD 9684X .. 340.75 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 84.37 |===========================================================
AMD 9684X .. 76.34 |=====================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 81.85 |===========================================================
AMD 9684X .. 78.49 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 68.45 |===========================================================
AMD 9684X .. 68.63 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 177.12 |==========================================================
AMD 9684X .. 178.56 |==========================================================
High Performance Conjugate Gradient 3.1
X Y Z: 104 104 104 - RT: 60
GFLOP/s > Higher Is Better
EPYC 9684X . 34.36 |===========================================================
AMD 9684X .. 23.14 |========================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 145.50 |==========================================================
AMD 9684X .. 143.53 |=========================================================
High Performance Conjugate Gradient 3.1
X Y Z: 160 160 160 - RT: 60
GFLOP/s > Higher Is Better
EPYC 9684X . 22.82 |===========================================================
AMD 9684X .. 22.78 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 115.34 |==========================================================
AMD 9684X .. 116.26 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 175.59 |========================================================
AMD 9684X .. 182.39 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 83.53 |===========================================================
AMD 9684X .. 82.86 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 68.81 |===========================================================
AMD 9684X .. 68.64 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 341.92 |==========================================================
AMD 9684X .. 336.84 |=========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 68.65 |==========================================================
AMD 9684X .. 70.23 |===========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 176.53 |==========================================================
AMD 9684X .. 176.56 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: Stock - Precision: float-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 327.36 |==========================================================
AMD 9684X .. 328.78 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 135.54 |==========================================================
AMD 9684X .. 136.27 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256
GFLOP/s > Higher Is Better
EPYC 9684X . 184.79 |==========================================================
AMD 9684X .. 184.65 |==========================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128
GFLOP/s > Higher Is Better
EPYC 9684X . 129.28 |==========================================================
AMD 9684X .. 124.93 |========================================================
High Performance Conjugate Gradient 3.1
X Y Z: 144 144 144 - RT: 60
GFLOP/s > Higher Is Better
EPYC 9684X . 23.55 |===========================================================
AMD 9684X .. 22.85 |=========================================================
High Performance Conjugate Gradient 3.1
X Y Z: 192 192 192 - RT: 60
GFLOP/s > Higher Is Better
EPYC 9684X . 22.72 |===========================================================
AMD 9684X .. 22.42 |==========================================================
NAS Parallel Benchmarks 3.4
Test / Class: BT.C
Total Mop/s > Higher Is Better
EPYC 9684X . 305166.40 |=====================================================
AMD 9684X .. 314982.58 |=======================================================
NAS Parallel Benchmarks 3.4
Test / Class: CG.C
Total Mop/s > Higher Is Better
EPYC 9684X . 62397.22 |========================================================
AMD 9684X .. 58099.40 |====================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.C
Total Mop/s > Higher Is Better
EPYC 9684X . 7839.23 |========================================================
AMD 9684X .. 7952.00 |=========================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.D
Total Mop/s > Higher Is Better
EPYC 9684X . 10620.59 |========================================================
AMD 9684X .. 10476.83 |=======================================================
NAS Parallel Benchmarks 3.4
Test / Class: FT.C
Total Mop/s > Higher Is Better
EPYC 9684X . 118915.97 |======================================================
AMD 9684X .. 121389.76 |=======================================================
NAS Parallel Benchmarks 3.4
Test / Class: IS.D
Total Mop/s > Higher Is Better
EPYC 9684X . 5839.25 |=========================================================
AMD 9684X .. 5572.16 |======================================================
NAS Parallel Benchmarks 3.4
Test / Class: LU.C
Total Mop/s > Higher Is Better
EPYC 9684X . 340754.87 |=======================================================
AMD 9684X .. 335538.30 |======================================================
NAS Parallel Benchmarks 3.4
Test / Class: MG.C
Total Mop/s > Higher Is Better
EPYC 9684X . 141081.08 |=======================================================
AMD 9684X .. 132064.96 |===================================================
HeFFTe - Highly Efficient FFT for Exascale 2.3
Test: c2c - Backend: Stock - Precision: float-long - X Y Z: 512
GFLOP/s > Higher Is Better
EPYC 9684X . 148.56 |=========================================================
AMD 9684X .. 149.97 |==========================================================
NAS Parallel Benchmarks 3.4
Test / Class: SP.B
Total Mop/s > Higher Is Better
EPYC 9684X . 170601.48 |=======================================================
AMD 9684X .. 169864.87 |=======================================================
NAS Parallel Benchmarks 3.4
Test / Class: SP.C
Total Mop/s > Higher Is Better
EPYC 9684X . 211454.60 |=======================================================
AMD 9684X .. 208198.13 |======================================================
NAMD 2.14
ATPase Simulation - 327,506 Atoms
days/ns < Lower Is Better
EPYC 9684X . 0.25068 |=========================================================
AMD 9684X .. 0.24623 |========================================================
ASKAP 1.0
Test: tConvolve MT - Gridding
Million Grid Points Per Second > Higher Is Better
EPYC 9684X . 13617.8 |=========================================================
AMD 9684X .. 13606.9 |=========================================================
ASKAP 1.0
Test: tConvolve MT - Degridding
Million Grid Points Per Second > Higher Is Better
EPYC 9684X . 15691 |===========================================================
AMD 9684X .. 15691 |===========================================================
ASKAP 1.0
Test: tConvolve MPI - Degridding
Mpix/sec > Higher Is Better
EPYC 9684X . 59410.3 |=========================================================
AMD 9684X .. 58310.1 |========================================================
ASKAP 1.0
Test: tConvolve MPI - Gridding
Mpix/sec > Higher Is Better
EPYC 9684X . 73226.7 |========================================================
AMD 9684X .. 74970.2 |=========================================================
ASKAP 1.0
Test: tConvolve OpenMP - Gridding
Million Grid Points Per Second > Higher Is Better
EPYC 9684X . 26625.6 |===================================================
AMD 9684X .. 29584.0 |=========================================================
ASKAP 1.0
Test: tConvolve OpenMP - Degridding
Million Grid Points Per Second > Higher Is Better
EPYC 9684X . 66564.0 |=========================================================
AMD 9684X .. 53251.2 |==============================================
ASKAP 1.0
Test: Hogbom Clean OpenMP
Iterations Per Second > Higher Is Better
EPYC 9684X . 1204.82 |=========================================================
AMD 9684X .. 1204.82 |=========================================================
LULESH 2.0.3
z/s > Higher Is Better
EPYC 9684X . 30858.46 |========================================================
AMD 9684X .. 31065.29 |========================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Mesh Time
Seconds < Lower Is Better
EPYC 9684X . 23.30 |===========================================================
AMD 9684X .. 23.17 |===========================================================
OpenFOAM 10
Input: drivaerFastback, Small Mesh Size - Execution Time
Seconds < Lower Is Better
EPYC 9684X . 28.96 |==========================================================
AMD 9684X .. 29.26 |===========================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Mesh Time
Seconds < Lower Is Better
EPYC 9684X . 107.49 |==========================================================
AMD 9684X .. 107.83 |==========================================================
OpenFOAM 10
Input: drivaerFastback, Medium Mesh Size - Execution Time
Seconds < Lower Is Better
EPYC 9684X . 184.45 |==========================================================
AMD 9684X .. 185.15 |==========================================================
miniFE 2.2
Problem Size: Small
CG Mflops > Higher Is Better
EPYC 9684X . 53878.4 |=========================================================
AMD 9684X .. 53906.3 |=========================================================
Xcompact3d Incompact3d 2021-03-11
Input: X3D-benchmarking input.i3d
Seconds < Lower Is Better
EPYC 9684X . 377.59 |========================================================
AMD 9684X .. 388.70 |==========================================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 129 Cells Per Direction
Seconds < Lower Is Better
EPYC 9684X . 2.24493504 |======================================================
AMD 9684X .. 1.96318495 |===============================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 193 Cells Per Direction
Seconds < Lower Is Better
EPYC 9684X . 7.65203524 |======================================================
AMD 9684X .. 7.65393496 |======================================================
Blender 3.6
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
EPYC 9684X . 16.26 |==========================================================
AMD 9684X .. 16.46 |===========================================================
Blender 3.6
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
EPYC 9684X . 40.48 |===========================================================
AMD 9684X .. 40.40 |===========================================================
Blender 3.6
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
EPYC 9684X . 20.61 |===========================================================
AMD 9684X .. 20.44 |===========================================================
Blender 3.6
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
EPYC 9684X . 142.10 |==========================================================
AMD 9684X .. 141.96 |==========================================================
Blender 3.6
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
EPYC 9684X . 49.42 |===========================================================
AMD 9684X .. 49.50 |===========================================================
Embree 4.1
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
EPYC 9684X . 110.69 |==========================================================
AMD 9684X .. 109.65 |=========================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
EPYC 9684X . 117.08 |==========================================================
AMD 9684X .. 117.25 |==========================================================
Embree 4.1
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
EPYC 9684X . 126.25 |==========================================================
AMD 9684X .. 126.41 |==========================================================
Embree 4.1
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
EPYC 9684X . 114.17 |==========================================================
AMD 9684X .. 115.04 |==========================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
EPYC 9684X . 142.28 |==========================================================
AMD 9684X .. 142.30 |==========================================================
Embree 4.1
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
EPYC 9684X . 122.04 |==========================================================
AMD 9684X .. 122.31 |==========================================================