epyc jan AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite. ,,"a","b","c" Processor,,AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads) Motherboard,,ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,28GB,28GB,28GB Disk,,Samsung SSD 970 EVO Plus 250GB,Samsung SSD 970 EVO Plus 250GB,Samsung SSD 970 EVO Plus 250GB Graphics,,ASPEED,ASPEED,ASPEED Network,,2 x Intel I350,2 x Intel I350,2 x Intel I350 OS,,Debian 11,Debian 11,Debian 11 Kernel,,5.10.0-10-amd64 (x86_64),5.10.0-10-amd64 (x86_64),5.10.0-10-amd64 (x86_64) Desktop,,GNOME Shell 3.38.6,GNOME Shell 3.38.6,GNOME Shell 3.38.6 Display Server,,X Server,X Server,X Server 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","b","c" "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,7.78,7.71,7.75 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,7.94,7.91,7.94 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,37.84,37.5,37.48 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,39.44,39.02,39.14 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,19.31,19.29,19.4 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,23.35,23.43,23.61 "Kvazaar - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,30.6,30.63,30.84 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,77.14,76.57,76.37 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,98.61,97.38,97.74 "Kvazaar - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,126.26,124.83,126.82 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Slow (FPS)",HIB,4.55,4.55,4.55 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Medium (FPS)",HIB,5.15,5.16,5.18 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Slow (FPS)",HIB,23.48,23.59,23.54 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Medium (FPS)",HIB,26.65,26.74,26.73 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Very Fast (FPS)",HIB,15.59,15.55,15.59 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Super Fast (FPS)",HIB,15.39,15.44,15.47 "uvg266 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast (FPS)",HIB,18.11,18.11,18.15 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Very Fast (FPS)",HIB,67.02,66.82,66.64 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Super Fast (FPS)",HIB,67.51,66.94,67.36 "uvg266 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast (FPS)",HIB,78.76,78.79,78.27 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.51894,3.51989,3.52483 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,7.7599,8.20925,7.38921 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.10538,10.6156,9.08264 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.51803,9.71952,9.6741 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.54459,6.54339,6.53883 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,4674.56,4368.14,4112.9 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1852.51,1871.54,1863.2 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.26064,1.26382,1.26462 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,2.49,2.44,2.44 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1592.85,1617.72,1626.1 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,1.55,1.59,1.57 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,2546.47,2491,2520.93 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,1.59,1.59,1.58 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,2509.26,2507.81,2506.42 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,167.99,158.05,160.95 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,23.8,25.29,24.84 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,2.7,2.69,2.7 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1476.13,1478.75,1475.07 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,219.42,219.15,220.74 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,18.22,18.24,18.11 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,214.03,213.76,213.37 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,18.68,18.7,18.73 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,22.33,24.75,23.88 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,178.96,161.51,167.26 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,263.66,264.05,263.42 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,30.33,30.29,30.36 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,237.54,238.39,241.78 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,16.83,16.77,16.53 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,6011.07,6017.55,6036.07 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.32,1.32,1.32 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,6215.72,6156.32,6245.74 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.28,1.29,1.27