Sandy Bridge Core i7 2700K 2020 Intel Core i7-2700K testing with a BIOSTAR B75MU3B v5.0 (4.6.5 BIOS) and Intel Sandybridge Desktop 2GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-2700K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: BIOSTAR B75MU3B v5.0 (4.6.5 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 8GB, Disk: 525GB Crucial CT525MX3, Graphics: Intel Sandybridge Desktop 2GB (1350MHz), Audio: Realtek ALC662 rev1, Monitor: G237HL, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.4, Compiler: GCC 9.2.1 20191130, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-2700K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: BIOSTAR B75MU3B v5.0 (4.6.5 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 8GB, Disk: 525GB Crucial CT525MX3, Graphics: Intel Sandybridge Desktop 2GB (1350MHz), Audio: Realtek ALC662 rev1, Monitor: G237HL, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.4, Compiler: GCC 9.2.1 20191130, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-2700K @ 3.90GHz (4 Cores / 8 Threads), Motherboard: BIOSTAR B75MU3B v5.0 (4.6.5 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 8GB, Disk: 525GB Crucial CT525MX3, Graphics: Intel Sandybridge Desktop 2GB (1350MHz), Audio: Realtek ALC662 rev1, Monitor: G237HL, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.1-050901-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.4, Compiler: GCC 9.2.1 20191130, File-System: ext4, Screen Resolution: 1920x1080 yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 126.2 |==================================================================== 2 . 126.7 |==================================================================== 3 . 126.8 |==================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 71.5 |===================================================================== 2 . 71.4 |===================================================================== 3 . 71.7 |===================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 0.5 |====================================================================== 2 . 0.5 |====================================================================== 3 . 0.5 |====================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 168.52 |=================================================================== 2 . 168.53 |=================================================================== 3 . 168.33 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 0.635 |==================================================================== 2 . 0.633 |==================================================================== 3 . 0.635 |==================================================================== simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better 1 . 0.37 |===================================================================== 2 . 0.37 |===================================================================== 3 . 0.37 |===================================================================== simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better 1 . 0.25 |===================================================================== 2 . 0.25 |===================================================================== 3 . 0.25 |===================================================================== simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better 1 . 0.46 |===================================================================== 2 . 0.46 |===================================================================== 3 . 0.46 |===================================================================== simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better 1 . 0.47 |===================================================================== 2 . 0.47 |===================================================================== 3 . 0.47 |===================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 4575.59 |================================================================= 2 . 4560.28 |================================================================= 3 . 4625.18 |================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 5308.7 |================================================================== 2 . 5336.1 |=================================================================== 3 . 5350.8 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 41.43 |==================================================================== 2 . 41.40 |==================================================================== 3 . 41.27 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 5248.3 |=================================================================== 2 . 5245.8 |=================================================================== 3 . 5249.9 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 40.48 |==================================================================== 2 . 40.55 |==================================================================== 3 . 40.52 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 5265.9 |=================================================================== 2 . 5264.8 |=================================================================== 3 . 5262.0 |=================================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 6067801 |================================================================== 2 . 6026564 |================================================================= 3 . 6076401 |================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 73.82 |==================================================================== 2 . 72.99 |=================================================================== 3 . 73.33 |==================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 52.05 |=================================================================== 2 . 51.33 |=================================================================== 3 . 52.45 |==================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 49.80 |=================================================================== 2 . 50.10 |==================================================================== 3 . 50.27 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 123.02 |================================================================== 2 . 124.71 |=================================================================== 3 . 124.66 |=================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 165.83 |=================================================================== 2 . 165.54 |=================================================================== 3 . 165.35 |=================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 73543.5 |================================================================== 2 . 73497.2 |================================================================== 3 . 73544.5 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 47198.8 |================================================================== 2 . 47263.6 |================================================================== 3 . 47362.7 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 28.66 |=================================================================== 2 . 29.25 |==================================================================== 3 . 28.09 |================================================================= rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 0.347 |==================================================================== 2 . 0.347 |==================================================================== 3 . 0.341 |=================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 0.428 |==================================================================== 2 . 0.429 |==================================================================== 3 . 0.421 |=================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 1.213 |==================================================================== 2 . 1.216 |==================================================================== 3 . 1.200 |=================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 96383.59 |================================================================= 2 . 96541.52 |================================================================= 3 . 97061.08 |================================================================= Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 5214148 |================================================================== 2 . 5142642 |================================================================= 3 . 5226186 |================================================================== asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 8120257 |================================================================= 2 . 8185214 |================================================================== 3 . 8126559 |================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 183.95 |=================================================================== 2 . 184.36 |=================================================================== 3 . 184.19 |=================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 398.95 |================================================================= 2 . 407.77 |=================================================================== 3 . 408.91 |=================================================================== Numpy Benchmark Score > Higher Is Better 1 . 186.41 |=================================================================== 2 . 187.47 |=================================================================== 3 . 187.35 |=================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 105.70 |=================================================================== 2 . 105.73 |=================================================================== 3 . 105.83 |=================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 16.78 |==================================================================== 2 . 16.77 |==================================================================== 3 . 16.79 |==================================================================== Ogg Audio Encoding 1.3.4 WAV To Ogg Seconds < Lower Is Better 1 . 29.31 |==================================================================== 2 . 29.24 |==================================================================== 3 . 29.23 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 11.13 |==================================================================== 2 . 11.14 |==================================================================== 3 . 11.14 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 43.37 |=================================================================== 2 . 43.88 |=================================================================== 3 . 44.32 |==================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 6.85 |==================================================================== 2 . 6.94 |===================================================================== 3 . 6.99 |===================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 107.83 |=================================================================== 2 . 108.59 |=================================================================== 3 . 108.24 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 14.67 |==================================================================== 2 . 14.66 |==================================================================== 3 . 14.68 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 109.61 |=================================================================== 2 . 109.31 |=================================================================== 3 . 109.46 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 217.15 |=================================================================== 2 . 217.13 |=================================================================== 3 . 217.64 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better 1 . 1449.79 |================================================================== 2 . 1436.41 |================================================================= 3 . 1453.82 |================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 103.80 |=================================================================== 2 . 103.89 |=================================================================== 3 . 103.86 |=================================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 507.19 |=================================================================== 2 . 507.28 |=================================================================== 3 . 506.67 |=================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 337.62 |=================================================================== 2 . 337.46 |=================================================================== 3 . 336.88 |=================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 565.43 |=================================================================== 2 . 565.11 |=================================================================== 3 . 564.69 |=================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 587.63 |=================================================================== 2 . 587.43 |=================================================================== 3 . 587.60 |=================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 333.24 |=================================================================== 2 . 332.54 |=================================================================== 3 . 333.20 |=================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 803.76 |=================================================================== 2 . 803.79 |=================================================================== 3 . 803.04 |=================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 377.67 |=================================================================== 2 . 377.74 |=================================================================== 3 . 377.99 |=================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 662.54 |=================================================================== 2 . 662.58 |=================================================================== 3 . 661.60 |=================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 1390.52 |================================================================== 2 . 1390.46 |================================================================== 3 . 1387.77 |================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 379.00 |=================================================================== 2 . 378.51 |=================================================================== 3 . 378.76 |=================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 193.42 |=================================================================== 2 . 193.58 |=================================================================== 3 . 193.38 |=================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 757.34 |=================================================================== 2 . 757.34 |=================================================================== 3 . 756.91 |=================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 499.14 |=================================================================== 2 . 499.41 |=================================================================== 3 . 498.20 |=================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 654.87 |=================================================================== 2 . 652.30 |=================================================================== 3 . 652.52 |=================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 2554.10 |================================================================== 2 . 2553.41 |================================================================== 3 . 2547.28 |================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 0.443 |==================================================================== 2 . 0.445 |==================================================================== 3 . 0.443 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 0.959 |==================================================================== 2 . 0.954 |==================================================================== 3 . 0.958 |==================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 476448 |================================================================== 2 . 480760 |=================================================================== 3 . 478630 |=================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 16.95 |==================================================================== 2 . 16.96 |==================================================================== 3 . 16.95 |====================================================================