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AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.


a: 

	Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 8 x 4 GB DDR4-2133MT/s 9ASF51272PZ-2G6E1, Disk: Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10

	OS: Debian 12, Kernel: 6.1.0-10-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768

b: 

	Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 8 x 4 GB DDR4-2133MT/s 9ASF51272PZ-2G6E1, Disk: Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10

	OS: Debian 12, Kernel: 6.1.0-10-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768

c: 

	Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 8 x 4 GB DDR4-2133MT/s 9ASF51272PZ-2G6E1, Disk: Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10

	OS: Debian 12, Kernel: 6.1.0-10-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768


oneDNN 3.4
Harness: IP Shapes 1D - Engine: CPU
ms < Lower Is Better
a . 3.57375 |==================================================================
b . 3.13394 |==========================================================
c . 3.31873 |=============================================================


oneDNN 3.4
Harness: IP Shapes 3D - Engine: CPU
ms < Lower Is Better
a . 14.03 |====================================================================
b . 14.03 |====================================================================
c . 13.93 |====================================================================


oneDNN 3.4
Harness: Convolution Batch Shapes Auto - Engine: CPU
ms < Lower Is Better
a . 15.60 |========================================================
b . 19.05 |====================================================================
c . 15.60 |========================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_1d - Engine: CPU
ms < Lower Is Better
a . 16.34 |====================================================================
b . 15.29 |================================================================
c . 13.70 |=========================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_3d - Engine: CPU
ms < Lower Is Better
a . 7.77427 |==================================================================
b . 7.77446 |==================================================================
c . 7.76984 |==================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Training - Engine: CPU
ms < Lower Is Better
a . 3472.48 |=================================================================
b . 3448.65 |================================================================
c . 3542.03 |==================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Inference - Engine: CPU
ms < Lower Is Better
a . 2191.23 |=================================================================
b . 2223.68 |==================================================================
c . 2240.44 |==================================================================


WavPack Audio Encoding 5.7
WAV To WavPack
Seconds < Lower Is Better
a . 13.32 |===================================================================
b . 13.55 |====================================================================
c . 13.62 |====================================================================