aug11 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 d: 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 LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 16 |================================================= b . 18 |======================================================== c . 23 |======================================================================= d . 18 |======================================================== LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 23 |==================================================================== b . 22 |================================================================= c . 24 |======================================================================= d . 24 |======================================================================= simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 2.01 |===================================================================== b . 2.01 |===================================================================== c . 2.01 |===================================================================== d . 2.01 |===================================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 2.56 |==================================================================== b . 2.58 |===================================================================== c . 2.57 |===================================================================== d . 2.57 |===================================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 0.69 |===================================================================== b . 0.69 |===================================================================== c . 0.69 |===================================================================== d . 0.69 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 2.37 |==================================================================== b . 2.36 |==================================================================== c . 2.40 |===================================================================== d . 2.38 |==================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 2.57 |===================================================================== b . 2.56 |===================================================================== c . 2.57 |===================================================================== d . 2.57 |===================================================================== Build2 0.17 Time To Compile Seconds < Lower Is Better a . 174.50 |=================================================================== b . 174.75 |=================================================================== c . 169.64 |================================================================= d . 173.73 |=================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 33.00 |================================================================ b . 34.57 |=================================================================== c . 35.15 |==================================================================== d . 34.08 |================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 26.47 |============================================= b . 39.72 |==================================================================== c . 15.54 |=========================== d . 16.37 |============================ Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 32.95 |================================================================ b . 35.08 |==================================================================== c . 32.36 |=============================================================== d . 30.58 |=========================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 5.106 |================================================================ b . 5.333 |=================================================================== c . 5.435 |==================================================================== d . 4.916 |============================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 8.707 |============================================================= b . 7.908 |======================================================== c . 9.639 |==================================================================== d . 8.674 |============================================================= Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 59.28 |=============================================================== b . 64.04 |==================================================================== c . 59.76 |=============================================================== d . 54.12 |========================================================= Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 14.98 |==================================================================== b . 13.32 |============================================================ c . 13.91 |=============================================================== d . 13.03 |=========================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 8.264 |================================================================= b . 8.659 |==================================================================== c . 8.498 |=================================================================== d . 8.290 |================================================================= Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 11.224 |=================================================================== b . 7.651 |============================================== c . 11.148 |=================================================================== d . 7.729 |============================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 80.48 |==================================================================== b . 59.01 |================================================== c . 65.89 |======================================================== d . 57.66 |================================================= XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 16117 |==================================================================== b . 8307 |=================================== c . 8272 |=================================== d . 7702 |================================ XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 15879 |==================================================================== b . 13739 |=========================================================== c . 8480 |==================================== d . 9094 |======================================= XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 5601 |============================================================== b . 5002 |======================================================== c . 4586 |=================================================== d . 6204 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 6082 |===================================================================== b . 5238 |=========================================================== c . 5348 |============================================================= d . 5271 |============================================================ XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 9166 |================================================================== b . 8114 |=========================================================== c . 7493 |====================================================== d . 9552 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 4361 |======================================================== b . 4357 |======================================================== c . 4252 |======================================================= d . 5351 |===================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 4392 |=========================================== b . 7058 |===================================================================== c . 4762 |=============================================== d . 4598 |============================================= XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 8102 |============================================================ b . 6416 |=============================================== c . 9380 |===================================================================== d . 8360 |============================================================= XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 5452 |===================================================================== b . 4473 |========================================================= c . 4283 |====================================================== d . 4797 |=============================================================