Xeon E5 1680 v3 Xmas Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS X99-A (3902 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 16GB, Disk: PNY CS900 240GB, Graphics: eVGA NVIDIA NVE7 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Intel I218-V OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS X99-A (3902 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 16GB, Disk: PNY CS900 240GB, Graphics: eVGA NVIDIA NVE7 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Intel I218-V OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS X99-A (3902 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 16GB, Disk: PNY CS900 240GB, Graphics: eVGA NVIDIA NVE7 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Intel I218-V OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Compile Bench 0.6 Test: Compile MB/s > Higher Is Better 1 . 760.84 |================================================================== 2 . 773.58 |=================================================================== 3 . 653.68 |========================================================= Compile Bench 0.6 Test: Initial Create MB/s > Higher Is Better 1 . 357.55 |================================================================ 2 . 339.32 |============================================================ 3 . 376.15 |=================================================================== Compile Bench 0.6 Test: Read Compiled Tree MB/s > Higher Is Better 1 . 2243.77 |================================================================ 2 . 2297.29 |================================================================== 3 . 2286.43 |================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 75.4 |===================================================================== 2 . 73.6 |=================================================================== 3 . 74.8 |==================================================================== Sockperf 3.4 Test: Throughput Messages Per Second > Higher Is Better 1 . 265543 |=================================================================== 2 . 266097 |=================================================================== 3 . 265622 |=================================================================== Sockperf 3.4 Test: Latency Ping Pong usec < Lower Is Better 1 . 4.499 |==================================================================== 2 . 4.487 |==================================================================== 3 . 4.510 |==================================================================== Sockperf 3.4 Test: Latency Under Load usec < Lower Is Better 1 . 25.47 |=================================================================== 2 . 25.96 |==================================================================== 3 . 24.48 |================================================================ LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 1105 |===================================================================== 2 . 1104 |===================================================================== 3 . 1091 |==================================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 1046 |===================================================================== 2 . 1050 |===================================================================== 3 . 1038 |==================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better 1 . 9.9 |=================================================================== 2 . 10.2 |===================================================================== 3 . 10.2 |===================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 23.21 |=================================================================== 2 . 23.40 |==================================================================== 3 . 23.32 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 30109.61 |================================================================ 2 . 30542.46 |================================================================= 3 . 30708.45 |================================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 162.58 |=================================================================== 2 . 163.45 |=================================================================== 3 . 163.31 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 11.36 |==================================================================== 2 . 11.32 |==================================================================== 3 . 11.26 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 5.055 |==================================================================== 2 . 5.026 |=================================================================== 3 . 5.072 |==================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 37390438.7 |=============================================================== 2 . 37461981.3 |=============================================================== 3 . 37177008.1 |=============================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 6098.31 |================================================================= 2 . 6163.86 |================================================================== 3 . 6152.72 |================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 7499.0 |=================================================================== 2 . 7494.0 |=================================================================== 3 . 7503.5 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 42.97 |==================================================================== 2 . 42.99 |==================================================================== 3 . 43.04 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 7267.3 |=================================================================== 2 . 7256.9 |=================================================================== 3 . 7267.9 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 42.06 |==================================================================== 2 . 42.11 |==================================================================== 3 . 41.60 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 7283.6 |=================================================================== 2 . 7259.4 |=================================================================== 3 . 7278.7 |=================================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 7002968 |================================================================== 2 . 6926721 |================================================================= 3 . 7021270 |================================================================== GraphicsMagick 1.3.33 Operation: Swirl Iterations Per Minute > Higher Is Better 1 . 262 |===================================================================== 2 . 264 |====================================================================== 3 . 264 |====================================================================== GraphicsMagick 1.3.33 Operation: Rotate Iterations Per Minute > Higher Is Better 1 . 598 |==================================================================== 2 . 612 |====================================================================== 3 . 613 |====================================================================== GraphicsMagick 1.3.33 Operation: Sharpen Iterations Per Minute > Higher Is Better 1 . 90 |======================================================================= 2 . 90 |======================================================================= 3 . 90 |======================================================================= GraphicsMagick 1.3.33 Operation: Enhanced Iterations Per Minute > Higher Is Better 1 . 101 |====================================================================== 2 . 101 |====================================================================== 3 . 101 |====================================================================== GraphicsMagick 1.3.33 Operation: Resizing Iterations Per Minute > Higher Is Better 1 . 648 |===================================================================== 2 . 651 |===================================================================== 3 . 656 |====================================================================== GraphicsMagick 1.3.33 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better 1 . 175 |====================================================================== 2 . 176 |====================================================================== 3 . 176 |====================================================================== GraphicsMagick 1.3.33 Operation: HWB Color Space Iterations Per Minute > Higher Is Better 1 . 565 |==================================================================== 2 . 575 |====================================================================== 3 . 578 |====================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.53012 |================================================================= 2 . 4.58350 |================================================================== 3 . 4.55778 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.87752 |================================================================== 2 . 6.78791 |================================================================= 3 . 6.81139 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.13341 |================================================================= 2 . 3.15874 |================================================================== 3 . 3.14475 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.55204 |================================================================== 2 . 2.53457 |================================================================== 3 . 2.52494 |================================================================= oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 12.55 |==================================================================== 2 . 12.50 |==================================================================== 3 . 12.48 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.33479 |================================================================= 2 . 6.40014 |================================================================== 3 . 6.37270 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 9.17727 |================================================================== 2 . 9.23463 |================================================================== 3 . 9.19921 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 10.82 |==================================================================== 2 . 10.75 |==================================================================== 3 . 10.81 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 7.87695 |================================================================== 2 . 7.90354 |================================================================== 3 . 7.66474 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 6.20319 |================================================================== 2 . 6.21295 |================================================================== 3 . 6.21070 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4531.11 |================================================================== 2 . 4525.42 |================================================================== 3 . 4533.64 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2474.88 |================================================================== 2 . 2468.97 |================================================================== 3 . 2468.80 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4529.12 |================================================================== 2 . 4523.86 |================================================================== 3 . 4536.47 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2472.67 |================================================================== 2 . 2470.37 |================================================================== 3 . 2468.25 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.01373 |================================================================== 2 . 2.98814 |================================================================= 3 . 2.97447 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4533.01 |================================================================== 2 . 4523.92 |================================================================== 3 . 4526.33 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 2480.10 |================================================================== 2 . 2469.55 |================================================================== 3 . 2466.09 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.50993 |================================================================== 2 . 3.49680 |================================================================== 3 . 3.46034 |================================================================= Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 1 . 8.6804 |=================================================================== 2 . 8.6170 |=================================================================== 3 . 8.6675 |=================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 1 . 9.6807 |================================================================== 2 . 9.7353 |=================================================================== 3 . 9.7629 |=================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 10.01 |==================================================================== 2 . 10.05 |==================================================================== 3 . 10.05 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 9.4002 |=================================================================== 2 . 9.4191 |=================================================================== 3 . 9.3499 |=================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 12.03 |=================================================================== 2 . 12.14 |==================================================================== 3 . 12.10 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 10.81 |==================================================================== 2 . 10.80 |==================================================================== 3 . 10.79 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 3.62 |===================================================================== 2 . 3.61 |===================================================================== 3 . 3.55 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 15.65 |==================================================================== 2 . 15.67 |==================================================================== 3 . 15.43 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 10.28 |==================================================================== 2 . 10.28 |==================================================================== 3 . 10.10 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 18.56 |==================================================================== 2 . 18.52 |==================================================================== 3 . 18.29 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 36.78 |==================================================================== 2 . 36.78 |==================================================================== 3 . 36.02 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 69.70 |==================================================================== 2 . 69.21 |==================================================================== 3 . 68.68 |=================================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 . 0.272 |==================================================================== 2 . 0.272 |==================================================================== 3 . 0.272 |==================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 0.815 |==================================================================== 2 . 0.816 |==================================================================== 3 . 0.818 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 1.088 |==================================================================== 2 . 1.093 |==================================================================== 3 . 1.086 |==================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 2.415 |==================================================================== 2 . 2.425 |==================================================================== 3 . 2.419 |==================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 8.85 |===================================================================== 2 . 8.75 |==================================================================== 3 . 8.87 |===================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 35.51 |=================================================================== 2 . 36.22 |==================================================================== 3 . 35.60 |=================================================================== Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better 1 . 270945.86 |=============================================================== 2 . 273924.34 |================================================================ 3 . 273946.97 |================================================================ Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 14124404 |================================================================= 2 . 14141342 |================================================================= 3 . 13900575 |================================================================ asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 21707918 |================================================================= 2 . 21577603 |================================================================ 3 . 21768662 |================================================================= Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 81.84 |==================================================================== 2 . 81.86 |==================================================================== 3 . 81.74 |==================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 173.72 |================================================================= 2 . 172.59 |================================================================= 3 . 178.60 |=================================================================== Numpy Benchmark Score > Higher Is Better 1 . 285.15 |================================================================== 2 . 289.20 |=================================================================== 3 . 283.88 |================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 97.32 |==================================================================== 2 . 97.18 |==================================================================== 3 . 97.81 |==================================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 14.16 |==================================================================== 2 . 14.17 |==================================================================== 3 . 14.14 |==================================================================== Ogg Audio Encoding 1.3.4 WAV To Ogg Seconds < Lower Is Better 1 . 24.76 |==================================================================== 2 . 24.75 |==================================================================== 3 . 24.78 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 9.678 |==================================================================== 2 . 9.643 |==================================================================== 3 . 9.616 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 35.72 |=============================================================== 2 . 37.48 |================================================================== 3 . 38.50 |==================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 25.71 |==================================================================== 2 . 25.67 |==================================================================== 3 . 25.52 |=================================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better 1 . 9.77 |===================================================================== 2 . 9.71 |===================================================================== 3 . 9.50 |=================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 134.60 |=================================================================== 2 . 134.09 |================================================================== 3 . 135.30 |=================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 470540.93 |=============================================================== 2 . 475933.28 |================================================================ 3 . 475766.15 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.754 |==================================================================== 2 . 0.753 |==================================================================== 3 . 0.755 |==================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 7.00 |==================================================================== 2 . 7.11 |===================================================================== 3 . 7.04 |==================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 6.59 |===================================================================== 2 . 6.58 |===================================================================== 3 . 6.59 |===================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 41.52 |==================================================================== 2 . 41.51 |==================================================================== 3 . 41.50 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 334.10 |=================================================================== 2 . 334.17 |=================================================================== 3 . 334.21 |=================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 65.82 |==================================================================== 2 . 66.20 |==================================================================== 3 . 66.22 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 10.24 |==================================================================== 2 . 10.20 |==================================================================== 3 . 10.20 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 47.38 |==================================================================== 2 . 47.42 |==================================================================== 3 . 47.51 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 88.87 |==================================================================== 2 . 88.99 |==================================================================== 3 . 88.93 |==================================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better 1 . 79.02 |=================================================================== 2 . 79.66 |==================================================================== 3 . 79.32 |==================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 2000353.86 |=============================================================== 2 . 1685556.72 |===================================================== 3 . 1279010.17 |======================================== Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 1639601.21 |=============================================================== 2 . 1625787.13 |============================================================== 3 . 1635637.53 |=============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 1289264.92 |============================================================== 2 . 1306966.33 |=============================================================== 3 . 1243644.16 |============================================================ Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 1834428.00 |============================================================== 2 . 1750688.54 |============================================================ 3 . 1852979.38 |=============================================================== Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 1481853.31 |=============================================================== 2 . 1456546.48 |============================================================== 3 . 1464928.24 |============================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 59307 |==================================================================== 2 . 59205 |==================================================================== 3 . 59221 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 118086 |=================================================================== 2 . 118507 |=================================================================== 3 . 118149 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 150994 |=================================================================== 2 . 150853 |=================================================================== 3 . 151020 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 301960 |=================================================================== 2 . 301686 |=================================================================== 3 . 301760 |=================================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 20.50 |==================================================================== 2 . 20.23 |=================================================================== 3 . 20.44 |==================================================================== NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 6.19 |==================================================================== 2 . 6.23 |==================================================================== 3 . 6.32 |===================================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 5.40 |==================================================================== 2 . 5.42 |===================================================================== 3 . 5.45 |===================================================================== NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 6.88 |==================================================================== 2 . 6.95 |===================================================================== 3 . 6.97 |===================================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 5.45 |=================================================================== 2 . 5.63 |===================================================================== 3 . 5.60 |===================================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 8.17 |================================================================= 2 . 8.34 |================================================================== 3 . 8.67 |===================================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.55 |=================================================================== 2 . 2.55 |=================================================================== 3 . 2.61 |===================================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 15.39 |=================================================================== 2 . 15.58 |==================================================================== 3 . 15.47 |==================================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 47.95 |==================================================================== 2 . 48.14 |==================================================================== 3 . 48.18 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 14.02 |==================================================================== 2 . 14.07 |==================================================================== 3 . 14.00 |==================================================================== NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 11.16 |==================================================================== 2 . 11.19 |==================================================================== 3 . 11.19 |==================================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 27.37 |==================================================================== 2 . 27.46 |==================================================================== 3 . 27.47 |==================================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 29.91 |==================================================================== 2 . 28.20 |================================================================ 3 . 28.92 |================================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 24.81 |==================================================================== 2 . 24.72 |==================================================================== 3 . 24.73 |==================================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 20.68 |=================================================================== 2 . 20.87 |==================================================================== 3 . 20.95 |==================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 1.88 |===================================================================== 2 . 1.88 |===================================================================== 3 . 1.88 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 2114.40 |================================================================== 2 . 2115.29 |================================================================== 3 . 2116.99 |================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 1.88 |===================================================================== 2 . 1.88 |===================================================================== 3 . 1.88 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 2113.87 |================================================================== 2 . 2115.31 |================================================================== 3 . 2116.84 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 1.30 |===================================================================== 2 . 1.27 |=================================================================== 3 . 1.30 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 3070.21 |================================================================== 2 . 3078.70 |================================================================== 3 . 3073.95 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 1.3 |====================================================================== 2 . 1.3 |====================================================================== 3 . 1.3 |====================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 3074.79 |================================================================== 2 . 3069.32 |================================================================== 3 . 3073.87 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better 1 . 5069.47 |================================================================== 2 . 5044.33 |================================================================== 3 . 5066.61 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better 1 . 0.77 |===================================================================== 2 . 0.77 |===================================================================== 3 . 0.77 |===================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better 1 . 5077.11 |================================================================== 2 . 5066.12 |================================================================== 3 . 5060.17 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better 1 . 0.77 |===================================================================== 2 . 0.77 |===================================================================== 3 . 0.77 |===================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 1.297 |==================================================================== 2 . 1.291 |==================================================================== 3 . 1.298 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 2.966 |==================================================================== 2 . 2.963 |==================================================================== 3 . 2.946 |==================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 348188152.87 |============================================================= 2 . 349172823.11 |============================================================= 3 . 348871675.90 |============================================================= AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better 1 . 1019 |===================================================================== 2 . 1022 |===================================================================== 3 . 1022 |===================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better 1 . 1060 |===================================================================== 2 . 1060 |===================================================================== 3 . 1065 |===================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better 1 . 2079 |===================================================================== 2 . 2082 |===================================================================== 3 . 2087 |===================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 626480 |=================================================================== 2 . 626218 |=================================================================== 3 . 624167 |=================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 15.98 |==================================================================== 2 . 15.98 |==================================================================== 3 . 16.01 |==================================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 67.17 |================================================================ 2 . 67.93 |================================================================= 3 . 71.22 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 61.46 |============================================================== 2 . 63.56 |================================================================ 3 . 67.82 |==================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 22.30 |==================================================================== 2 . 22.33 |==================================================================== 3 . 22.33 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 3.18 |===================================================================== 2 . 3.19 |===================================================================== 3 . 3.19 |===================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better 1 . 23.16 |==================================================================== 2 . 22.84 |=================================================================== 3 . 23.22 |==================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 88817 |==================================================================== 2 . 88995 |==================================================================== 3 . 88885 |====================================================================