EPYC 7502 Xmas Week AMD EPYC 7502 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe on Ubuntu 20.10 via the Phoronix Test Suite. AMD EPYC 7502: Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350 OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350 OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads), Motherboard: ASRockRack EPYCD8 (P2.10 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 280GB INTEL SSDPED1D280GA, Graphics: llvmpipe, Audio: AMD Starship/Matisse, Monitor: VE228, Network: 2 x Intel I350 OS: Ubuntu 20.10, Kernel: 5.8.0-31-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better AMD EPYC 7502 . 64.4 |====================================================== 2 ............. 67.8 |========================================================= 3 ............. 65.3 |======================================================= Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better AMD EPYC 7502 . 14.46 |======================================================== 2 ............. 14.48 |======================================================== 3 ............. 14.42 |======================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better AMD EPYC 7502 . 16.07 |======================================================== 2 ............. 16.08 |======================================================== 3 ............. 16.07 |======================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better AMD EPYC 7502 . 26.00 |======================================================== 2 ............. 24.96 |====================================================== 3 ............. 25.14 |====================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better AMD EPYC 7502 . 11.51 |======================================================= 2 ............. 11.58 |======================================================= 3 ............. 11.75 |======================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better AMD EPYC 7502 . 10.64 |======================================================= 2 ............. 10.72 |======================================================== 3 ............. 10.77 |======================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better AMD EPYC 7502 . 11.24 |======================================================= 2 ............. 11.36 |======================================================== 3 ............. 11.32 |======================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better AMD EPYC 7502 . 10.57 |======================================================= 2 ............. 10.64 |======================================================= 3 ............. 10.86 |======================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better AMD EPYC 7502 . 14.48 |===================================================== 2 ............. 15.18 |======================================================== 3 ............. 15.15 |======================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better AMD EPYC 7502 . 5.35 |========================================================= 2 ............. 5.29 |======================================================== 3 ............. 5.27 |======================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better AMD EPYC 7502 . 24.48 |===================================================== 2 ............. 25.84 |======================================================== 3 ............. 25.43 |======================================================= NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better AMD EPYC 7502 . 39.83 |======================================================== 2 ............. 39.78 |======================================================== 3 ............. 40.10 |======================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better AMD EPYC 7502 . 16.65 |====================================================== 2 ............. 17.37 |======================================================== 3 ............. 17.20 |======================================================= NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better AMD EPYC 7502 . 10.47 |===================================================== 2 ............. 11.11 |======================================================== 3 ............. 11.09 |======================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better AMD EPYC 7502 . 31.14 |======================================================== 2 ............. 31.42 |======================================================== 3 ............. 31.19 |======================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better AMD EPYC 7502 . 33.53 |======================================================= 2 ............. 34.14 |======================================================== 3 ............. 34.06 |======================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better AMD EPYC 7502 . 28.32 |======================================================== 2 ............. 28.08 |======================================================== 3 ............. 27.62 |======================================================= NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better AMD EPYC 7502 . 71.11 |======================================================== 2 ............. 71.07 |======================================================== 3 ............. 70.45 |======================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 1.78500 |===================================================== 2 ............. 1.80169 |====================================================== 3 ............. 1.78068 |===================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 3.29278 |===================================================== 2 ............. 3.36961 |====================================================== 3 ............. 3.28483 |===================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 1.27891 |====================================================== 2 ............. 1.28102 |====================================================== 3 ............. 1.27493 |====================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 1.10806 |====================================================== 2 ............. 1.11520 |====================================================== 3 ............. 1.07767 |==================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 4.11624 |====================================================== 2 ............. 4.07311 |===================================================== 3 ............. 4.11194 |====================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 2.35955 |====================================================== 2 ............. 2.33718 |===================================================== 3 ............. 2.33627 |===================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 3.83294 |====================================================== 2 ............. 3.84209 |====================================================== 3 ............. 3.79006 |===================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 4.35880 |====================================================== 2 ............. 4.39428 |====================================================== 3 ............. 4.39119 |====================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 2.37348 |====================================================== 2 ............. 2.37025 |====================================================== 3 ............. 2.37818 |====================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 2.07652 |====================================================== 2 ............. 2.07463 |====================================================== 3 ............. 2.06908 |====================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 3205.71 |====================================================== 2 ............. 3182.89 |====================================================== 3 ............. 3210.61 |====================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 1136.51 |==================================================== 2 ............. 1152.55 |===================================================== 3 ............. 1172.01 |====================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 3227.05 |====================================================== 2 ............. 3242.45 |====================================================== 3 ............. 3208.36 |===================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 1155.99 |===================================================== 2 ............. 1153.35 |===================================================== 3 ............. 1176.18 |====================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 0.589531 |===================================================== 2 ............. 0.591016 |===================================================== 3 ............. 0.585362 |==================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 3223.81 |====================================================== 2 ............. 3201.10 |====================================================== 3 ............. 3216.21 |====================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 1160.03 |===================================================== 2 ............. 1178.84 |====================================================== 3 ............. 1167.55 |===================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better AMD EPYC 7502 . 1.25802 |====================================================== 2 ............. 1.26159 |====================================================== 3 ............. 1.26651 |====================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better AMD EPYC 7502 . 86.08 |======================================================== 2 ............. 86.15 |======================================================== 3 ............. 86.37 |======================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better AMD EPYC 7502 . 99.85 |======================================================== 2 ............. 99.08 |======================================================== 3 ............. 99.12 |======================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better AMD EPYC 7502 . 7.69 |======================================================== 2 ............. 7.70 |======================================================== 3 ............. 7.77 |========================================================= simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better AMD EPYC 7502 . 0.51 |========================================================= 2 ............. 0.51 |========================================================= 3 ............. 0.51 |========================================================= simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better AMD EPYC 7502 . 0.34 |========================================================= 2 ............. 0.33 |======================================================= 3 ............. 0.33 |======================================================= simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better AMD EPYC 7502 . 0.57 |========================================================= 2 ............. 0.57 |========================================================= 3 ............. 0.57 |========================================================= simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better AMD EPYC 7502 . 0.58 |========================================================= 2 ............. 0.58 |========================================================= 3 ............. 0.58 |=========================================================