Core i3 7100 Xmas Eve Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.10 via the Phoronix Test Suite. ,,"1","2","3" Processor,,Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads),Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads),Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads) Motherboard,,Gigabyte B250M-DS3H-CF (F9 BIOS),Gigabyte B250M-DS3H-CF (F9 BIOS),Gigabyte B250M-DS3H-CF (F9 BIOS) Chipset,,Intel Xeon E3-1200 v6/7th + B250,Intel Xeon E3-1200 v6/7th + B250,Intel Xeon E3-1200 v6/7th + B250 Memory,,8GB,8GB,8GB Disk,,250GB Western Digital WDS250G1B0A-,250GB Western Digital WDS250G1B0A-,250GB Western Digital WDS250G1B0A- Graphics,,Gigabyte Intel HD 630 3GB (1100MHz),Gigabyte Intel HD 630 3GB (1100MHz),Gigabyte Intel HD 630 3GB (1100MHz) Audio,,Realtek ALC887-VD,Realtek ALC887-VD,Realtek ALC887-VD Monitor,,VA2431,VA2431,VA2431 Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 20.10,Ubuntu 20.10,Ubuntu 20.10 Kernel,,5.8.0-28-generic (x86_64),5.8.0-28-generic (x86_64),5.8.0-28-generic (x86_64) Desktop,,GNOME Shell 3.38.1,GNOME Shell 3.38.1,GNOME Shell 3.38.1 Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9 Display Driver,,modesetting 1.20.9,modesetting 1.20.9,modesetting 1.20.9 OpenGL,,4.6 Mesa 20.2.1,4.6 Mesa 20.2.1,4.6 Mesa 20.2.1 Vulkan,,1.2.145,1.2.145,1.2.145 Compiler,,GCC 10.2.0,GCC 10.2.0,GCC 10.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"1","2","3" "SQLite - Threads / Copies: 1 (sec)",LIB,30.315,31.916,31.702 "VkFFT - (Benchmark Score)",HIB,1332,1335,1332 "VkResample - Upscale: 2x - Precision: Double (ms)",LIB,1011.320,1010.740,1006.890 "VkResample - Upscale: 2x - Precision: Single (ms)",LIB,523.034,532.957,538.286 "VKMark - Resolution: 1280 x 1024 (VKMark Score)",HIB,905,906,881 "VKMark - Resolution: 1920 x 1080 (VKMark Score)",HIB,614,614,606 "HPC Challenge - Test / Class: G-HPL (GFLOPS)",HIB,86.83917,85.29487,86.81380 "HPC Challenge - Test / Class: G-Ffte (GFLOPS)",HIB,1.75523,1.76210,1.75386 "HPC Challenge - Test / Class: EP-DGEMM (GFLOPS)",HIB,47.15443,47.50403,47.69460 "HPC Challenge - Test / Class: G-Ptrans (GB/s)",HIB,1.31124,1.46076,1.46079 "HPC Challenge - Test / Class: EP-STREAM Triad (GB/s)",HIB,9.87479,9.88819,9.82052 "HPC Challenge - Test / Class: G-Random Access (GUP/s)",HIB,0.01270,0.01267,0.01277 "HPC Challenge - Test / Class: Random Ring Latency (usecs)",LIB,0.21035,0.20996,0.20908 "HPC Challenge - Test / Class: Random Ring Bandwidth (GB/s)",HIB,5.14701,5.18462,4.90255 "HPC Challenge - Test / Class: Max Ping Pong Bandwidth (MB/s)",HIB,8711.352,8813.097,8644.793 "CLOMP - Static OMP Speedup (Speedup)",HIB,1.4,1.4,1.4 "Timed HMMer Search - Pfam Database Search (sec)",LIB,114.826,114.834,114.826 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,14.000,13.867,14.004 "simdjson - Throughput Test: Kostya (GB/s)",HIB,0.49,0.49,0.49 "simdjson - Throughput Test: LargeRandom (GB/s)",HIB,0.37,0.37,0.37 "simdjson - Throughput Test: PartialTweets (GB/s)",HIB,0.6,0.6,0.60 "simdjson - Throughput Test: DistinctUserID (GB/s)",HIB,0.62,0.62,0.62 "Crafty - Elapsed Time (Nodes/s)",HIB,7332207,7369776,7347021 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,15.7995,15.6580,15.7434 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,15.5361,14.8365,16.1817 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.97730,6.97030,7.01559 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.69411,4.81695,4.70981 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,20.7537,20.6337,20.7444 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,20.0429,19.9684,19.8612 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,24.5757,24.6236,24.6031 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,24.0199,23.9439,24.0531 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,20.0642,20.0247,19.9289 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,13.3641,13.3447,13.3239 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,12994.0,13403.5,13012.2 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,7188.49,7424.10,7201.09 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,13022.3,13494.4,13017.5 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7192.68,7437.08,7207.99 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,6.03889,6.03112,6.05271 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,12989.9,13484.9,13005.4 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7184.04,7447.30,7201.51 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,12.3520,12.3525,12.3401 "rav1e - Speed: 1 (FPS)",HIB,0.253,0.248,0.251 "rav1e - Speed: 5 (FPS)",HIB,0.779,0.779,0.776 "rav1e - Speed: 6 (FPS)",HIB,1.035,1.038,1.036 "rav1e - Speed: 10 (FPS)",HIB,2.404,2.406,2.406 "Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,77661.557996,77631.826919,78242.226116 "Stockfish - Total Time (Nodes/s)",HIB,4232953,4043871,4101980 "asmFish - 1024 Hash Memory, 26 Depth (Nodes/s)",HIB,6144009,6257439,6240412 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,232.085,232.002,231.806 "Build2 - Time To Compile (sec)",LIB,644.789,648.380,645.349 "Timed Eigen Compilation - Time To Compile (sec)",LIB,92.847,92.730,92.920 "Monkey Audio Encoding - WAV To APE (sec)",LIB,12.781,12.752,12.768 "Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,9.593,9.597,9.599 "Node.js V8 Web Tooling Benchmark - (runs/s)",HIB,9.44,9.34,9.34 "ASTC Encoder - Preset: Fast (sec)",LIB,7.97,7.97,7.96 "ASTC Encoder - Preset: Medium (sec)",LIB,20.42,20.42,20.42 "ASTC Encoder - Preset: Thorough (sec)",LIB,135.29,135.42,135.31 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,1087.58,1104.70,1088.46 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,43.12,43.24,43.24 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,10.63,10.65,10.67 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,9.18,9.18,9.19 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,15.31,15.33,15.31 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,9.86,9.91,9.86 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,15.44,15.41,15.36 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.88,3.87,3.88 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,31.51,31.51,31.52 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,111.37,111.63,111.59 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,30.82,30.75,30.74 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,24.95,24.96,24.94 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,68.5,68.42,68.42 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,57.17,57.23,57.26 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,47.11,47.28,47.15 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,18.60,18.62,18.60 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,43.07,43.20,43.26 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,10.62,10.64,10.66 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,9.19,9.15,9.15 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,15.33,15.32,15.32 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,9.84,9.87,9.86 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,15.32,15.36,15.37 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,3.86,3.87,3.87 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,31.55,31.53,31.48 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,111.29,111.32,111.09 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,30.75,30.76,30.72 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,24.93,24.93,24.90 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,68.43,68.36,68.42 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,57.15,57.18,57.19 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,47.19,47.24,47.26 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,18.60,18.67,18.58 "PHPBench - PHP Benchmark Suite (Score)",HIB,657887,658126,656295 "WavPack Audio Encoding - WAV To WavPack (sec)",LIB,16.693,16.696,16.709