2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 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 2310151-NE-9684XNE6190
9684x ne
2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
,,"a","b"
Processor,,2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads),2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads)
Motherboard,,AMD Titanite_4G (RTI1007B BIOS),AMD Titanite_4G (RTI1007B BIOS)
Chipset,,AMD Device 14a4,AMD Device 14a4
Memory,,1520GB,1520GB
Disk,,3201GB Micron_7450_MTFDKCC3T2TFS,3201GB Micron_7450_MTFDKCC3T2TFS
Graphics,,ASPEED,ASPEED
Network,,Broadcom NetXtreme BCM5720 PCIe,Broadcom NetXtreme BCM5720 PCIe
OS,,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.6.0-060600rc1-generic (x86_64),6.6.0-060600rc1-generic (x86_64)
Desktop,,GNOME Shell,GNOME Shell
Display Server,,X Server 1.21.1.7,X Server 1.21.1.7
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1200,1920x1200
,,"a","b"
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,3.574,3.079
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,40.483,39.752
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,97.678,97.448
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,192.4860,192.1728
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,200.4923,199.7125
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,212.4785,212.0222
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,188.6699,189.7142
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,234.8068,233.9207
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,201.5342,200.7999
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,3.78,3.80
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,3.80,3.78
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,1.89,1.90
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,8.24195,6.89651
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,4.40651,4.19777
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,11.45807,16.9496
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.851887,0.818265
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,32.1485,33.9112
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.44728,3.55742
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,0.480803,0.509185
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,30.3653,30.5588
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,0.948793,0.969145
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.319810,0.326161
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.777316,0.7716
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.275663,0.278455
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1862.61,1852.73
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,2131.26,2062.29
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1817.58,1798.18
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.372487,0.386826
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1.56883,1.54248
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,0.625811,0.617057
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2070.84,2104.98
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1860.35,1831.26
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2036.88,2096.03
"OpenVKL - Benchmark: vklBenchmarkCPU ISPC (Items / Sec)",HIB,3530,3529
"OpenVKL - Benchmark: vklBenchmarkCPU Scalar (Items / Sec)",HIB,1494,1494