7601 2P May 2021 2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and Matrox G200eW3 on Ubuntu 19.10 via the Phoronix Test Suite. ,,"1","2" Processor,,2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads),2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads) Motherboard,,Dell 02MJ3T (1.2.5 BIOS),Dell 02MJ3T (1.2.5 BIOS) Chipset,,AMD 17h,AMD 17h Memory,,504GB,504GB Disk,,280GB INTEL SSDPED1D280GA + 120GB INTEL SSDSCKJB120G7R + 11 x 500GB Samsung SSD 860,280GB INTEL SSDPED1D280GA + 120GB INTEL SSDSCKJB120G7R + 11 x 500GB Samsung SSD 860 Graphics,,Matrox G200eW3,Matrox G200eW3 Monitor,,VE228,VE228 Network,,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe OS,,Ubuntu 19.10,Ubuntu 19.10 Kernel,,5.9.0-050900rc6daily20200922-generic (x86_64) 20200921,5.9.0-050900rc6daily20200922-generic (x86_64) 20200921 Desktop,,GNOME Shell 3.34.1,GNOME Shell 3.34.1 Display Server,,X Server 1.20.5,X Server 1.20.5 Compiler,,GCC 9.2.1 20191008,GCC 9.2.1 20191008 File-System,,ext4,ext4 Screen Resolution,,1600x1200,1600x1200 ,,"1","2" "toyBrot Fractal Generator - Implementation: OpenMP (ms)",LIB,8405,8413 "toyBrot Fractal Generator - Implementation: C++ Tasks (ms)",LIB,8916,8934 "toyBrot Fractal Generator - Implementation: C++ Threads (ms)",LIB,7964,7893 "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,212.313,205.684 "NWChem - Input: C240 Buckyball (sec)",LIB,2570.5,2622.4 "QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,61.65,46.177 "Timed HMMer Search - Pfam Database Search (sec)",LIB,180.449,203.189 "Xcompact3d Incompact3d - Input: X3D-benchmarking input.i3d (sec)",LIB,698.292969,506.602753 "Xcompact3d Incompact3d - Input: input.i3d 129 Cells Per Direction (sec)",LIB,4.32549191,4.33265305 "Xcompact3d Incompact3d - Input: input.i3d 193 Cells Per Direction (sec)",LIB,17.3202019,17.3060284 "libgav1 - Video Input: Chimera 1080p (FPS)",HIB,62.87,62.8 "libgav1 - Video Input: Summer Nature 4K (FPS)",HIB,26.12,26.27 "libgav1 - Video Input: Summer Nature 1080p (FPS)",HIB,75.09,72.97 "libgav1 - Video Input: Chimera 1080p 10-bit (FPS)",HIB,30.05,30.63 "GNU GMP GMPbench - Total Time (GMPbench Score)",HIB,3940.6,3941.6 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,12404.6,13080.6 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,18556.7,18152.4 "Botan - Test: KASUMI (MiB/s)",HIB,73.261,73.244 "Botan - Test: KASUMI - Decrypt (MiB/s)",HIB,70.275,70.255 "Botan - Test: AES-256 (MiB/s)",HIB,4338.48,4348.268 "Botan - Test: AES-256 - Decrypt (MiB/s)",HIB,4397.856,4395.365 "Botan - Test: Twofish (MiB/s)",HIB,282.426,282.679 "Botan - Test: Twofish - Decrypt (MiB/s)",HIB,281.66,281.842 "Botan - Test: Blowfish (MiB/s)",HIB,345.304,345.226 "Botan - Test: Blowfish - Decrypt (MiB/s)",HIB,345.127,345.132 "Botan - Test: CAST-256 (MiB/s)",HIB,113.02,112.975 "Botan - Test: CAST-256 - Decrypt (MiB/s)",HIB,113.001,112.987 "Botan - Test: ChaCha20Poly1305 (MiB/s)",HIB,387.246,387.193 "Botan - Test: ChaCha20Poly1305 - Decrypt (MiB/s)",HIB,386.192,385.652 "LuaRadio - Test: Five Back to Back FIR Filters (MiB/s)",HIB,361,389.3 "LuaRadio - Test: FM Deemphasis Filter (MiB/s)",HIB,314.8,313.5 "LuaRadio - Test: Hilbert Transform (MiB/s)",HIB,75.2,75.2 "LuaRadio - Test: Complex Phase (MiB/s)",HIB,460.2,455.4 "LuxCoreRender - Scene: DLSC - Acceleration: CPU (M samples/sec)",HIB,6.01,5.91 "LuxCoreRender - Scene: Danish Mood - Acceleration: CPU (M samples/sec)",HIB,3.06,3.21 "LuxCoreRender - Scene: Orange Juice - Acceleration: CPU (M samples/sec)",HIB,9.43,9.46 "LuxCoreRender - Scene: LuxCore Benchmark - Acceleration: CPU (M samples/sec)",HIB,3.25,3.03 "LuxCoreRender - Scene: Rainbow Colors and Prism - Acceleration: CPU (M samples/sec)",HIB,10.08,10.89 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,653.19,679.21 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,271.9,266.76 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,652.16,664.94 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,169.63,170.17 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.1,0.1 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,2.55,2.63 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,11.45,10.8 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,5.14,5.15 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,28.07,26.49 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,32.25,32.35 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.25,0.26 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,3.74,3.74 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,17.83,18.42 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,11.9,12.53 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,69.26,67.95 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,77.69,77.3 "SVT-HEVC - Tuning: 1 - Input: Bosphorus 1080p (FPS)",HIB,25.49,25.84 "SVT-HEVC - Tuning: 7 - Input: Bosphorus 1080p (FPS)",HIB,127.31,152.59 "SVT-HEVC - Tuning: 10 - Input: Bosphorus 1080p (FPS)",HIB,169.06,221.73 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,139.64,126.51 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,128.09,125.13 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,119.05,120.33 "Stockfish - Total Time (Nodes/s)",HIB,86531216,91100623 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,85.293,84.099 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,45.845,47.587 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,16.297,16.799 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,5.083,4.766 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,42.884,44.787 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,8.465,8.353 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,32.042,32.312 "Timed LLVM Compilation - Build System: Ninja (sec)",LIB,191.499,189.705 "Timed LLVM Compilation - Build System: Unix Makefiles (sec)",LIB,279.294,277.199 "Timed Node.js Compilation - Time To Compile (sec)",LIB,140.98,137.975 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.85496,3.65351 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,20.0848,20.1276 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.13332,3.93964 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.24893,4.22622 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.4212,20.1934 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,20.5707,20.4634 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,5.76619,5.7534 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,28.8301,28.8711 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.55592,2.60517 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.51847,2.51975 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,4689.43,4517.56 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,4511.26,4492.88 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4508.41,3997.86 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4397.13,4740.63 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,2.41145,2.47377 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4578.78,4552.97 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4108.8,4739.47 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.18907,1.18902 "Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,195.512,196.727 "Helsing - Digit Range: 14 digit (sec)",LIB,119.57,119.177 "Liquid-DSP - Threads: 1 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,45474000,45519000 "Liquid-DSP - Threads: 2 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,90532000,90716000 "Liquid-DSP - Threads: 4 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,180910000,180670000 "Liquid-DSP - Threads: 8 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,360540000,359320000 "Liquid-DSP - Threads: 16 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,701200000,703580000 "Liquid-DSP - Threads: 32 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,1233500000,1251500000 "Liquid-DSP - Threads: 64 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2369000000,2025100000 "Liquid-DSP - Threads: 128 - Buffer Length: 256 - Filter Length: 57 (samples/s)",HIB,2690100000,2694300000 "libjpeg-turbo tjbench - Test: Decompression Throughput (Megapixels/sec)",HIB,134.601511,134.617341 "Basis Universal - Settings: ETC1S (sec)",LIB,38.334,38.388 "Basis Universal - Settings: UASTC Level 0 (sec)",LIB,9.578,9.672 "Basis Universal - Settings: UASTC Level 2 (sec)",LIB,15.125,15.06 "Basis Universal - Settings: UASTC Level 3 (sec)",LIB,20.656,20.688 "KTX-Software toktx - Settings: UASTC 3 (sec)",LIB,6.516,6.444 "KTX-Software toktx - Settings: Zstd Compression 9 (sec)",LIB,3.952,4.05 "KTX-Software toktx - Settings: Zstd Compression 19 (sec)",LIB,29.393,29.326 "KTX-Software toktx - Settings: UASTC 3 + Zstd Compression 19 (sec)",LIB,14.538,14.763 "KTX-Software toktx - Settings: UASTC 4 + Zstd Compression 19 (sec)",LIB,83.442,83.564 "Google Draco - Model: Lion (ms)",LIB,7503,7512 "Google Draco - Model: Church Facade (ms)",LIB,10405,10641 "WRF - Input: conus 2.5km (sec)",LIB,16951.033,14948.409 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,13.831,14.399 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,54.534,51.158 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,9.438,9.605 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,5.784,5.78 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,64.389,65.163 "Sysbench - Test: RAM / Memory (MiB/sec)",HIB,3881.63,3938.35 "Sysbench - Test: CPU (Events/sec)",HIB,89937.71,89945 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,41.62,41.88 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,104.09,104.07 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,66.51,68.26 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,188.88,188.76 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,133.66,133.79 "PJSIP - Method: INVITE (Responses/sec)",HIB,2656,2773 "PJSIP - Method: OPTIONS, Stateful (Responses/sec)",HIB,5209,4544 "PJSIP - Method: OPTIONS, Stateless (Responses/sec)",HIB,20487,20382