AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 11 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 2205193-HA-RENAISSAN17
renaissance-tensorflow-epyc-1
AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.
,,"A","AA","B"
Processor,,AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads),AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads),AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads)
Motherboard,,GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS),GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS),GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS)
Chipset,,AMD 17h,AMD 17h,AMD 17h
Memory,,8 x 4 GB DDR4-2667MT/s 9ASF51272PZ-2G6E1,8 x 4 GB DDR4-2667MT/s 9ASF51272PZ-2G6E1,8 x 4 GB DDR4-2667MT/s 9ASF51272PZ-2G6E1
Disk,,Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1,Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1,Samsung SSD 960 EVO 500GB + 31GB SanDisk 3.2Gen1
Graphics,,ASPEED,ASPEED,ASPEED
Network,,Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10,Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10,Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10
OS,,Debian 11,Debian 11,Debian 11
Kernel,,5.10.0-9-amd64 (x86_64),5.10.0-9-amd64 (x86_64),5.10.0-9-amd64 (x86_64)
Compiler,,GCC 10.2.1 20210110,GCC 10.2.1 20210110,GCC 10.2.1 20210110
File-System,,ext4,ext4,ext4
Screen Resolution,,1024x768,1024x768,1024x768
,,"A","AA","B"
"Renaissance - Test: Scala Dotty (ms)",LIB,1441.3,1328.5,1462.9
"Renaissance - Test: Random Forest (ms)",LIB,1414.3,1387.9,1397.7
"Renaissance - Test: ALS Movie Lens (ms)",LIB,,58423.5,57933.2
"Renaissance - Test: Apache Spark ALS (ms)",LIB,,103098.4,102444.4
"Renaissance - Test: Apache Spark Bayes (ms)",LIB,,1275.2,1289.3
"Renaissance - Test: Savina Reactors.IO (ms)",LIB,,17612.6,17685.9
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,,5726.94,5839.22
"TensorFlow Lite - Model: Inception V4 (us)",LIB,,71861.8,71667.3
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,,51438.5,57310.2
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,,5309.11,4620.06
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,,6179.21,6141.14
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,,77564.4,76295.1