CompuLab Airtop 3 Intel Xeon E-2288G testing with a Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS) and NVIDIA Quadro RTX 4000 8GB on Ubuntu 20.10 via the Phoronix Test Suite. 1: Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (1005/6500MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210 OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (1005/6500MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210 OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E-2288G @ 5.00GHz (8 Cores / 16 Threads), Motherboard: Compulab SBC-ATCFL v1.2 (ATOP3.PRD.0.29.2 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 64GB, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: NVIDIA Quadro RTX 4000 8GB (300/405MHz), Audio: Intel Cannon Lake PCH cAVS, Monitor: VE228, Network: Intel I219-LM + Intel I210 OS: Ubuntu 20.10, Kernel: 5.8.0-26-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: NVIDIA 455.28, OpenGL: 4.6.0, OpenCL: OpenCL 1.2 CUDA 11.1.96, Vulkan: 1.2.142, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 WireGuard + Linux Networking Stack Stress Test Seconds < Lower Is Better 1 . 160.51 |=================================================================== 2 . 158.36 |================================================================== 3 . 159.75 |=================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 844 |====================================================================== 2 . 837 |===================================================================== 3 . 809 |=================================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 751 |===================================================================== 2 . 762 |====================================================================== 3 . 671 |============================================================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better 1 . 276.22 |============================================================== 2 . 273.16 |============================================================== 3 . 296.27 |=================================================================== Rodinia 3.1 Test: OpenCL Myocyte Seconds < Lower Is Better 1 . 34.79 |================================================================== 2 . 34.51 |================================================================== 3 . 35.76 |==================================================================== Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better 1 . 92.67 |============================= 2 . 89.73 |============================ 3 . 213.52 |=================================================================== Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better 1 . 140.31 |============================================ 2 . 138.39 |=========================================== 3 . 214.31 |=================================================================== Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better 1 . 22.65 |====== 2 . 22.74 |====== 3 . 265.62 |=================================================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better 1 . 19.56 |=================== 2 . 19.63 |=================== 3 . 69.37 |==================================================================== NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 1 . 1.94453 |================================================= 2 . 1.93847 |================================================= 3 . 2.62968 |================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 16.83 |=================================================================== 2 . 16.71 |=================================================================== 3 . 17.03 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 31760.02 |================================================================= 2 . 31509.63 |================================================================ 3 . 19217.72 |======================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 100.12 |=================================================================== 2 . 100.24 |=================================================================== 3 . 100.83 |=================================================================== Incompact3D 2020-09-17 Input: Cylinder Seconds < Lower Is Better 1 . 378.48 |========================================== 2 . 377.56 |========================================== 3 . 605.89 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 5.851 |=================================================================== 2 . 5.909 |==================================================================== 3 . 5.905 |==================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 6.600 |================================================================== 2 . 6.805 |==================================================================== 3 . 6.322 |=============================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 1.313 |==================================================================== 2 . 1.315 |==================================================================== 3 . 1.318 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 2.077 |==================================================================== 2 . 2.076 |==================================================================== 3 . 2.078 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 15.61 |==================================================================== 2 . 15.60 |==================================================================== 3 . 15.69 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 6.385 |==================================================================== 2 . 6.386 |==================================================================== 3 . 6.382 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 34.70 |==================================================================== 2 . 34.84 |==================================================================== 3 . 34.61 |==================================================================== Java Gradle Build Gradle Build: Reactor Seconds < Lower Is Better 1 . 197.76 |================================================================== 2 . 199.45 |=================================================================== 3 . 197.05 |================================================================== DaCapo Benchmark 9.12-MR1 Java Test: H2 msec < Lower Is Better 1 . 2864 |==================================================================== 2 . 2925 |===================================================================== 3 . 2775 |================================================================= DaCapo Benchmark 9.12-MR1 Java Test: Jython msec < Lower Is Better 1 . 3709 |===================================================================== 2 . 3698 |===================================================================== 3 . 3718 |===================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap msec < Lower Is Better 1 . 3652 |==================================================================== 2 . 3550 |================================================================== 3 . 3704 |===================================================================== DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans msec < Lower Is Better 1 . 2690 |================================================================== 2 . 2645 |================================================================= 3 . 2801 |===================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 48134384.7 |============================================================== 2 . 48808319.1 |=============================================================== 3 . 48679363.3 |=============================================================== LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 33.31 |=================================================================== 2 . 33.66 |==================================================================== 3 . 33.87 |==================================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.49627 |================================================================== 2 . 4.13153 |============================================================= 3 . 4.13129 |============================================================= oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 68.05 |=================================================================== 2 . 69.00 |==================================================================== 3 . 68.59 |==================================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.80103 |================================================================ 2 . 1.80571 |================================================================ 3 . 1.86706 |================================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 27.64 |==================================================================== 2 . 27.37 |=================================================================== 3 . 27.35 |=================================================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 17.12 |==================================================================== 2 . 17.14 |==================================================================== 3 . 17.20 |==================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.89651 |================================================================== 2 . 4.67392 |=============================================================== 3 . 4.70756 |=============================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.64261 |================================================================== 2 . 6.47349 |================================================================ 3 . 6.61172 |================================================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 16.44 |=================================================================== 2 . 16.74 |==================================================================== 3 . 16.60 |=================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 5.70594 |================================================================== 2 . 5.59357 |================================================================= 3 . 5.70690 |================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.58701 |================================================================== 2 . 3.24189 |============================================================ 3 . 3.30402 |============================================================= oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 321.80 |================================================================== 2 . 326.96 |=================================================================== 3 . 324.34 |================================================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 149.62 |=================================================================== 2 . 139.87 |=============================================================== 3 . 136.15 |============================================================= oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.99911 |================================================================= 2 . 4.06970 |================================================================== 3 . 3.87614 |=============================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.58081 |================================================================== 2 . 2.57926 |================================================================== 3 . 2.58232 |================================================================== dav1d 0.7.0 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 639.97 |================================================================== 2 . 647.74 |=================================================================== 3 . 641.98 |================================================================== dav1d 0.7.0 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 156.40 |================================================================= 2 . 160.47 |=================================================================== 3 . 156.84 |================================================================= dav1d 0.7.0 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 581.34 |=================================================================== 2 . 582.13 |=================================================================== 3 . 579.67 |=================================================================== dav1d 0.7.0 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 114.55 |================================================================== 2 . 116.36 |=================================================================== 3 . 113.41 |================================================================= AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Frames Per Second > Higher Is Better 1 . 0.33 |===================================================================== 2 . 0.33 |===================================================================== 3 . 0.33 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Frames Per Second > Higher Is Better 1 . 2.72 |===================================================================== 2 . 2.72 |===================================================================== 3 . 2.72 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Frames Per Second > Higher Is Better 1 . 23.54 |==================================================================== 2 . 23.44 |==================================================================== 3 . 23.36 |=================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Frames Per Second > Higher Is Better 1 . 4.30 |===================================================================== 2 . 4.29 |===================================================================== 3 . 4.27 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Frames Per Second > Higher Is Better 1 . 45.92 |==================================================================== 2 . 46.26 |==================================================================== 3 . 45.78 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Slow Frames Per Second > Higher Is Better 1 . 4.15 |===================================================================== 2 . 4.17 |===================================================================== 3 . 4.15 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 4.21 |===================================================================== 2 . 4.23 |===================================================================== 3 . 4.20 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Slow Frames Per Second > Higher Is Better 1 . 18.24 |=================================================================== 2 . 18.58 |==================================================================== 3 . 18.11 |================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 18.69 |=================================================================== 2 . 18.92 |==================================================================== 3 . 18.69 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 11.95 |=================================================================== 2 . 12.05 |==================================================================== 3 . 11.91 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 21.87 |================================================================== 2 . 22.45 |==================================================================== 3 . 21.92 |================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 46.73 |================================================================== 2 . 48.24 |==================================================================== 3 . 46.79 |================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 87.16 |================================================================ 2 . 92.53 |==================================================================== 3 . 87.18 |================================================================ x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 12.37 |==================================================================== 2 . 12.39 |==================================================================== 3 . 12.34 |==================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 54.49 |================================================================== 2 . 56.14 |==================================================================== 3 . 54.42 |================================================================== libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better 1 . 99.67 |==================================================================== 2 . 99.27 |==================================================================== 3 . 99.34 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better 1 . 58.66 |==================================================================== 2 . 58.40 |==================================================================== 3 . 58.66 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better 1 . 5.022 |==================================================================== 2 . 4.995 |==================================================================== 3 . 5.017 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better 1 . 4.757 |==================================================================== 2 . 4.738 |==================================================================== 3 . 4.733 |==================================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better 1 . 98.18 |==================================================================== 2 . 98.15 |==================================================================== Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better 1 . 771.21 |=================================================================== 2 . 762.88 |================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 21.59 |==================================================================== 2 . 21.59 |==================================================================== 3 . 21.60 |==================================================================== OpenSSL 1.1.1 RSA 4096-bit Performance Signs Per Second > Higher Is Better 1 . 2431.8 |================================================================== 2 . 2467.9 |=================================================================== 3 . 2474.6 |=================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 737463.31 |================================================================ 2 . 736916.33 |================================================================ 3 . 734176.59 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.820 |==================================================================== 2 . 0.815 |==================================================================== 3 . 0.821 |==================================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better 1 . 227852 |=================================================================== 2 . 226239 |=================================================================== 3 . 227599 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better 1 . 3269353 |================================================================== 2 . 3260710 |================================================================== 3 . 3270433 |================================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better 1 . 201015 |=================================================================== 2 . 199504 |================================================================== 3 . 201265 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better 1 . 153919 |=================================================================== 2 . 153221 |=================================================================== 3 . 154362 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better 1 . 157250 |=================================================================== 2 . 156299 |================================================================== 3 . 157719 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better 1 . 2954177 |================================================================== 2 . 2946580 |================================================================== 3 . 2957670 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only TPS > Higher Is Better 1 . 33414 |==================================================================== 2 . 33267 |==================================================================== 3 . 32579 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.030 |================================================================== 2 . 0.030 |================================================================== 3 . 0.031 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write TPS > Higher Is Better 1 . 480 |====================================================================== 2 . 429 |=============================================================== 3 . 442 |================================================================ PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 2.084 |=========================================================== 2 . 2.412 |==================================================================== 3 . 2.312 |================================================================= PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only TPS > Higher Is Better 1 . 289401 |================================================================= 2 . 296088 |=================================================================== 3 . 291995 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.173 |==================================================================== 2 . 0.169 |================================================================== 3 . 0.171 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only TPS > Higher Is Better 1 . 274463 |================================================================= 2 . 281291 |=================================================================== 3 . 278019 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.365 |==================================================================== 2 . 0.356 |================================================================== 3 . 0.360 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only TPS > Higher Is Better 1 . 254678 |=================================================================== 2 . 251429 |================================================================== 3 . 249348 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better 1 . 0.982 |=================================================================== 2 . 0.995 |=================================================================== 3 . 1.004 |==================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write TPS > Higher Is Better 1 . 611 |====================================================================== 2 . 596 |==================================================================== 3 . 604 |===================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 81.87 |================================================================== 2 . 83.89 |==================================================================== 3 . 82.73 |=================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write TPS > Higher Is Better 1 . 568 |===================================================================== 2 . 578 |====================================================================== 3 . 578 |====================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 176.13 |=================================================================== 2 . 173.12 |================================================================== 3 . 173.24 |================================================================== PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write TPS > Higher Is Better 1 . 599 |====================================================================== 2 . 591 |===================================================================== 3 . 557 |================================================================= PostgreSQL pgbench 13.0 Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better 1 . 419.73 |=============================================================== 2 . 424.26 |=============================================================== 3 . 449.11 |=================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 5.53 |===================================================================== 2 . 5.52 |===================================================================== 3 . 5.55 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 8.48 |==================================================================== 2 . 8.44 |==================================================================== 3 . 8.55 |===================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 33.33 |==================================================================== 2 . 33.24 |==================================================================== 3 . 33.34 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 274.72 |=================================================================== 2 . 273.46 |================================================================== 3 . 275.59 |=================================================================== OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document Seconds < Lower Is Better 1 . 22.02 |==================================================================== 2 . 21.07 |================================================================= 3 . 22.09 |==================================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better 1 . 61.75 |==================================================================== 2 . 61.85 |==================================================================== 3 . 62.12 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 40095 |==================================================================== 2 . 39759 |=================================================================== 3 . 40315 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 80273 |==================================================================== 2 . 79922 |==================================================================== 3 . 80507 |==================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 103786 |=================================================================== 2 . 103349 |=================================================================== 3 . 103903 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 207902 |=================================================================== 2 . 207889 |=================================================================== 3 . 208264 |=================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 16.10 |=================================================================== 2 . 16.10 |=================================================================== 3 . 16.38 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 19.30 |==================================================================== 2 . 19.22 |==================================================================== 3 . 19.23 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.11 |================================================================== 2 . 5.13 |=================================================================== 3 . 5.31 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.06 |=================================================================== 2 . 4.07 |=================================================================== 3 . 4.20 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 3.21 |==================================================================== 2 . 3.17 |=================================================================== 3 . 3.26 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 3.92 |================================================================= 2 . 3.91 |================================================================= 3 . 4.17 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.69 |=================================================================== 2 . 6.68 |=================================================================== 3 . 6.85 |===================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.46 |=================================================================== 2 . 1.45 |=================================================================== 3 . 1.50 |===================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 14.99 |================================================================== 2 . 15.09 |=================================================================== 3 . 15.38 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 67.22 |=================================================================== 2 . 66.60 |=================================================================== 3 . 67.82 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 15.20 |================================================================== 2 . 15.49 |=================================================================== 3 . 15.61 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 14.38 |================================================================== 2 . 14.33 |================================================================== 3 . 14.72 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 28.80 |=================================================================== 2 . 28.91 |=================================================================== 3 . 29.20 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 28.70 |================================================================== 2 . 29.58 |==================================================================== 3 . 29.07 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 3.66 |===================================================================== 2 . 3.65 |===================================================================== 3 . 3.66 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 4.63 |=================================================================== 2 . 4.58 |================================================================== 3 . 4.77 |===================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 1.45 |===================================================================== 2 . 1.42 |=================================================================== 3 . 1.46 |===================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 1.67 |===================================================================== 2 . 1.68 |===================================================================== 3 . 1.68 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 1.30 |==================================================================== 2 . 1.31 |===================================================================== 3 . 1.31 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 1.48 |==================================================================== 2 . 1.48 |==================================================================== 3 . 1.50 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 2.67 |===================================================================== 2 . 2.65 |==================================================================== 3 . 2.65 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 0.61 |=================================================================== 2 . 0.62 |==================================================================== 3 . 0.63 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 3.53 |===================================================================== 2 . 3.22 |=============================================================== 3 . 3.23 |=============================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 8.36 |===================================================================== 2 . 8.32 |==================================================================== 3 . 8.42 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 1.68 |=================================================================== 2 . 1.72 |===================================================================== 3 . 1.66 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 2.10 |===================================================================== 2 . 2.08 |==================================================================== 3 . 2.09 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 3.77 |===================================================================== 2 . 3.74 |==================================================================== 3 . 3.76 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 8.67 |===================================================================== 2 . 8.32 |================================================================== 3 . 8.70 |===================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 286.04 |=================================================================== 2 . 287.56 |=================================================================== 3 . 284.03 |================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 269.71 |=================================================================== 2 . 269.66 |=================================================================== 3 . 269.44 |=================================================================== Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 1 . 186.64 |=================================================================== 2 . 186.19 |=================================================================== 3 . 186.87 |=================================================================== Blender 2.90 Blend File: BMW27 - Compute: NVIDIA OptiX Seconds < Lower Is Better 1 . 27.90 |==================================================================== 2 . 27.76 |==================================================================== 3 . 27.86 |==================================================================== Blender 2.90 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 1 . 584.98 |=================================================================== 2 . 587.97 |=================================================================== 3 . 584.40 |=================================================================== Blender 2.90 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 1 . 271.16 |=================================================================== 2 . 269.67 |=================================================================== 3 . 270.29 |=================================================================== Blender 2.90 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 1 . 787.85 |=================================================================== 2 . 783.83 |=================================================================== 3 . 787.49 |=================================================================== Blender 2.90 Blend File: Classroom - Compute: NVIDIA OptiX Seconds < Lower Is Better 1 . 104.11 |=================================================================== 2 . 103.42 |================================================================== 3 . 104.69 |=================================================================== Blender 2.90 Blend File: Fishy Cat - Compute: NVIDIA OptiX Seconds < Lower Is Better 1 . 54.93 |==================================================================== 2 . 54.71 |=================================================================== 3 . 55.23 |==================================================================== Blender 2.90 Blend File: Barbershop - Compute: NVIDIA OptiX Seconds < Lower Is Better 1 . 1312.28 |================================================================= 2 . 1264.86 |=============================================================== 3 . 1325.38 |================================================================== Blender 2.90 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 1 . 651.27 |=================================================================== 2 . 650.83 |=================================================================== 3 . 650.06 |=================================================================== Blender 2.90 Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX Seconds < Lower Is Better 1 . 145.47 |=================================================================== 2 . 144.87 |=================================================================== 3 . 145.79 |=================================================================== PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better 1 . 200 |====================================================================== 2 . 199 |====================================================================== 3 . 200 |====================================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better 1 . 264 |====================================================================== 2 . 261 |===================================================================== 3 . 261 |===================================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better 1 . 85.7 |===================================================================== 2 . 85.8 |===================================================================== 3 . 86.1 |===================================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better 1 . 90.0 |===================================================================== 2 . 90.0 |===================================================================== 3 . 90.1 |===================================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better 1 . 103 |====================================================================== 2 . 103 |====================================================================== 3 . 103 |====================================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better 1 . 14.4 |===================================================================== 2 . 14.3 |==================================================================== 3 . 14.5 |===================================================================== PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better 1 . 374 |===================================================================== 2 . 375 |====================================================================== 3 . 377 |====================================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better 1 . 21.3 |===================================================================== 2 . 21.2 |===================================================================== 3 . 21.2 |===================================================================== PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better 1 . 85.8 |===================================================================== 2 . 85.8 |===================================================================== 3 . 85.9 |===================================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better 1 . 138 |===================================================================== 2 . 137 |===================================================================== 3 . 139 |====================================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better 1 . 6.80 |===================================================================== 2 . 6.74 |==================================================================== 3 . 6.75 |==================================================================== PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better 1 . 38.6 |==================================================================== 2 . 38.9 |==================================================================== 3 . 39.2 |===================================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better 1 . 338 |====================================================================== 2 . 339 |====================================================================== 3 . 339 |====================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 472824990.62 |============================================================= 2 . 474322870.49 |============================================================= 3 . 471834576.35 |============================================================= NeatBench 5 Acceleration: CPU FPS > Higher Is Better 1 . 10.9 |===================================================================== 2 . 10.8 |==================================================================== 3 . 10.9 |===================================================================== NeatBench 5 Acceleration: GPU FPS > Higher Is Better 1 . 29.4 |================================================================== 2 . 30.5 |===================================================================== 3 . 30.6 |===================================================================== Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Seconds < Lower Is Better 1 . 1.138 |==================================================================== 2 . 1.132 |==================================================================== 3 . 1.127 |=================================================================== Tesseract OCR 4.1.1 Time To OCR 7 Images Seconds < Lower Is Better 1 . 20.13 |=================================================================== 2 . 20.32 |==================================================================== 3 . 20.22 |==================================================================== BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 99977 |==================================================================== 2 . 99832 |==================================================================== 3 . 99792 |==================================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1507808.8 |=============================================================== 2 . 1526391.3 |================================================================ 3 . 1508093.5 |=============================================================== InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1534293.6 |================================================================ 2 . 1543312.5 |================================================================ 3 . 1530241.0 |=============================================================== InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 1535930.8 |=============================================================== 2 . 1557794.2 |================================================================ 3 . 1539617.5 |===============================================================