3100 compare AMD Ryzen 3 3100 4-Core testing with a ASUS ROG CROSSHAIR VIII HERO (2702 BIOS) and AMD Radeon RX 56/64 8GB on Ubuntu 20.10 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 3 3100 4-Core @ 3.60GHz (4 Cores / 8 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (2702 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: AMD Radeon RX 56/64 8GB (1590/800MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: LG Ultra HD, Network: Realtek RTL8125 2.5GbE + Intel I211 OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen 3 3100 4-Core @ 3.60GHz (4 Cores / 8 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (2702 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: AMD Radeon RX 56/64 8GB (1590/800MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: LG Ultra HD, Network: Realtek RTL8125 2.5GbE + Intel I211 OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen 3 3100 4-Core @ 3.60GHz (4 Cores / 8 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (2702 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: AMD Radeon RX 56/64 8GB (1590/800MHz), Audio: AMD Vega 10 HDMI Audio, Monitor: LG Ultra HD, Network: Realtek RTL8125 2.5GbE + Intel I211 OS: Ubuntu 20.10, Kernel: 5.8.0-29-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.2.1 (LLVM 11.0.0), Vulkan: 1.2.131, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 Betsy GPU Compressor 1.1 Beta Codec: ETC1 - Quality: Highest Seconds < Lower Is Better 1 . 5.799 |==================================================================== 2 . 5.608 |================================================================== 3 . 5.602 |================================================================== Betsy GPU Compressor 1.1 Beta Codec: ETC2 RGB - Quality: Highest Seconds < Lower Is Better 1 . 6.688 |==================================================================== 2 . 6.476 |================================================================== 3 . 6.470 |================================================================== Waifu2x-NCNN Vulkan 20200818 Scale: 2x - Denoise: 3 - TAA: Yes Seconds < Lower Is Better 1 . 7.158 |==================================================================== 2 . 7.184 |==================================================================== 3 . 7.183 |==================================================================== VkFFT 2020-09-29 Benchmark Score > Higher Is Better 1 . 18432 |==================================================================== 2 . 18479 |==================================================================== 3 . 18478 |==================================================================== DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: RaiNyMore2 Frames Per Second > Higher Is Better 1 . 236.14 |=================================================================== 2 . 214.08 |============================================================= 3 . 203.50 |========================================================== DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap Frames Per Second > Higher Is Better 1 . 334.97 |=================================================================== 2 . 331.87 |================================================================== 3 . 333.51 |=================================================================== DDraceNetwork 15.2.3 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL 3.3 - Zoom: Default - Demo: Multeasymap - Total Frame Time Milliseconds < Lower Is Better 1 . MIN: 2.1 AVG: 3.0 MAX: 7.5 2 . MIN: 2.1 AVG: 3.0 MAX: 7.2 3 . MIN: 2.0 AVG: 3.0 MAX: 10.7 yquake2 7.45 Renderer: OpenGL 1.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 737.4 |=================================================================== 2 . 747.0 |==================================================================== 3 . 730.4 |================================================================== yquake2 7.45 Renderer: OpenGL 3.x - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 977.8 |==================================================================== 2 . 977.8 |==================================================================== 3 . 975.8 |==================================================================== yquake2 7.45 Renderer: Software CPU - Resolution: 1920 x 1080 Frames Per Second > Higher Is Better 1 . 110.9 |==================================================================== 2 . 109.5 |=================================================================== 3 . 110.4 |==================================================================== GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better 1 . 6530 |===================================================================== 2 . 6547 |===================================================================== 3 . 6559 |===================================================================== HPC Challenge 1.5.0 Test / Class: G-HPL GFLOPS > Higher Is Better 1 . 120.91 |=================================================================== HPC Challenge 1.5.0 Test / Class: G-Ffte GFLOPS > Higher Is Better 1 . 3.30686 |================================================================== HPC Challenge 1.5.0 Test / Class: EP-DGEMM GFLOPS > Higher Is Better 1 . 55.51 |==================================================================== HPC Challenge 1.5.0 Test / Class: G-Ptrans GB/s > Higher Is Better 1 . 0.65366 |================================================================== HPC Challenge 1.5.0 Test / Class: EP-STREAM Triad GB/s > Higher Is Better 1 . 6.74179 |================================================================== HPC Challenge 1.5.0 Test / Class: G-Random Access GUP/s > Higher Is Better 1 . 0.02004 |================================================================== HPC Challenge 1.5.0 Test / Class: Random Ring Latency usecs < Lower Is Better 1 . 0.39400 |================================================================== HPC Challenge 1.5.0 Test / Class: Random Ring Bandwidth GB/s > Higher Is Better 1 . 4.96131 |================================================================== HPC Challenge 1.5.0 Test / Class: Max Ping Pong Bandwidth MB/s > Higher Is Better 1 . 14400.77 |================================================================= LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 775 |====================================================================== 2 . 730 |================================================================== 3 . 649 |=========================================================== LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better 1 . 730 |====================================================================== 2 . 688 |================================================================== 3 . 638 |============================================================= NAMD 2.14 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 1 . 4.49500 |================================================================== 2 . 4.48209 |================================================================== 3 . 4.48308 |================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 17.76 |==================================================================== 2 . 17.70 |==================================================================== 3 . 17.68 |==================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 25405.99 |================================================================ 2 . 25808.66 |================================================================= 3 . 25835.65 |================================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 111.35 |=================================================================== 2 . 111.30 |=================================================================== 3 . 111.49 |=================================================================== Monte Carlo Simulations of Ionised Nebulae 2019-03-24 Input: Dust 2D tau100.0 Seconds < Lower Is Better 1 . 288 |====================================================================== 2 . 288 |====================================================================== 3 . 288 |====================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 3.249 |================================================================== 2 . 3.329 |==================================================================== 3 . 3.340 |==================================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better 1 . 9763.10 |=============================================================== 2 . 10001.81 |================================================================= 3 . 9959.06 |================================================================= LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better 1 . 11116.3 |================================================================= 2 . 11146.3 |================================================================== 3 . 11202.6 |================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better 1 . 53.56 |==================================================================== 2 . 53.60 |==================================================================== 3 . 52.55 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better 1 . 10496.6 |================================================================= 2 . 10635.3 |================================================================== 3 . 10588.0 |================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better 1 . 52.50 |==================================================================== 2 . 51.20 |================================================================== 3 . 51.45 |=================================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better 1 . 10575.6 |================================================================= 2 . 10711.5 |================================================================== 3 . 10653.0 |================================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better 1 . 3687.7 |=================================================================== 2 . 3632.0 |================================================================== 3 . 3687.7 |=================================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better 1 . 21.1 |===================================================================== 2 . 21.2 |===================================================================== 3 . 21.2 |===================================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better 1 . 7738146 |================================================================== 2 . 7573497 |================================================================= 3 . 7394699 |=============================================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7.43267 |======================================================== 2 . 8.42072 |=============================================================== 3 . 8.81065 |================================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 96.74 |================================================================== 2 . 99.74 |==================================================================== 3 . 99.97 |==================================================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 20.65 |==================================================================== 2 . 19.20 |=============================================================== 3 . 19.41 |================================================================ oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 8.05221 |====================================================== 2 . 9.74749 |================================================================= 3 . 9.82517 |================================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 12.03 |============================================================== 2 . 13.18 |==================================================================== 3 . 12.89 |=================================================================== oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 503.70 |=================================================================== 2 . 491.11 |================================================================= 3 . 462.80 |============================================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 249.37 |================================================================ 2 . 262.37 |=================================================================== 3 . 247.16 |=============================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4.73057 |================================================================== 2 . 4.03910 |======================================================== 3 . 4.06739 |========================================================= AOM AV1 2.0 Encoder Mode: Speed 0 Two-Pass Frames Per Second > Higher Is Better 1 . 0.26 |===================================================================== 2 . 0.25 |================================================================== 3 . 0.25 |================================================================== AOM AV1 2.0 Encoder Mode: Speed 4 Two-Pass Frames Per Second > Higher Is Better 1 . 2.18 |===================================================================== 2 . 2.17 |===================================================================== 3 . 2.18 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Realtime Frames Per Second > Higher Is Better 1 . 16.93 |==================================================================== 2 . 16.66 |=================================================================== 3 . 16.91 |==================================================================== AOM AV1 2.0 Encoder Mode: Speed 6 Two-Pass Frames Per Second > Higher Is Better 1 . 3.43 |===================================================================== 2 . 3.42 |===================================================================== 3 . 3.43 |===================================================================== AOM AV1 2.0 Encoder Mode: Speed 8 Realtime Frames Per Second > Higher Is Better 1 . 37.09 |==================================================================== 2 . 36.18 |================================================================== 3 . 37.07 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 1 . 5.3673 |=================================================================== 2 . 5.3310 |=================================================================== 3 . 5.3162 |================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 1 . 5.1754 |=================================================================== 2 . 5.1563 |=================================================================== 3 . 5.1464 |=================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 6.2294 |================================================================== 2 . 6.1430 |================================================================== 3 . 6.2800 |=================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 6.1185 |=================================================================== 2 . 6.1354 |=================================================================== 3 . 6.1401 |=================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 2.91 |===================================================================== 2 . 2.92 |===================================================================== 3 . 2.92 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better 1 . 12.72 |==================================================================== 2 . 12.75 |==================================================================== 3 . 12.76 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 8.03 |===================================================================== 2 . 8.03 |===================================================================== 3 . 8.01 |===================================================================== Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 14.55 |==================================================================== 2 . 14.63 |==================================================================== 3 . 14.60 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better 1 . 32.34 |==================================================================== 2 . 32.38 |==================================================================== 3 . 32.38 |==================================================================== Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better 1 . 57.37 |==================================================================== 2 . 57.57 |==================================================================== 3 . 57.47 |==================================================================== rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better 1 . 0.372 |==================================================================== 2 . 0.365 |=================================================================== 3 . 0.361 |================================================================== rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better 1 . 1.050 |=================================================================== 2 . 1.047 |=================================================================== 3 . 1.058 |==================================================================== rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better 1 . 1.404 |==================================================================== 2 . 1.370 |================================================================== 3 . 1.393 |=================================================================== rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better 1 . 3.041 |=================================================================== 2 . 3.068 |==================================================================== 3 . 3.087 |==================================================================== x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better 1 . 7.77 |===================================================================== 2 . 7.78 |===================================================================== 3 . 7.75 |===================================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better 1 . 34.71 |=================================================================== 2 . 35.12 |==================================================================== 3 . 34.66 |=================================================================== Stockfish 12 Total Time Nodes Per Second > Higher Is Better 1 . 9840561 |================================================================ 2 . 10050125 |================================================================= 3 . 9864045 |================================================================ asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better 1 . 13797562 |================================================================= 2 . 13866946 |================================================================= 3 . 13730556 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better 1 . 146.26 |================================================================== 2 . 149.26 |=================================================================== 3 . 145.65 |================================================================= libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better 1 . 86.46 |=================================================================== 2 . 88.21 |==================================================================== 3 . 86.29 |=================================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better 1 . 6.631 |==================================================================== 2 . 6.575 |=================================================================== 3 . 6.584 |==================================================================== libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better 1 . 6.100 |==================================================================== 2 . 6.037 |=================================================================== 3 . 6.064 |==================================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better 1 . 159.30 |================================================================== 2 . 160.56 |=================================================================== 3 . 160.15 |=================================================================== Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better 1 . 1215.50 |================================================================== 2 . 1214.94 |================================================================== 3 . 1216.09 |================================================================== Numpy Benchmark Score > Higher Is Better 1 . 321.42 |=================================================================== 2 . 320.60 |=================================================================== 3 . 321.61 |=================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 30.99 |==================================================================== 2 . 30.94 |==================================================================== 3 . 30.96 |==================================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 20.02 |==================================================================== 2 . 20.02 |==================================================================== 3 . 20.03 |==================================================================== OpenSSL 1.1.1 RSA 4096-bit Performance Signs Per Second > Higher Is Better 1 . 1145.0 |=================================================================== 2 . 1144.3 |=================================================================== 3 . 1144.7 |=================================================================== MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better 1 . 454.91 |=================================================================== 2 . 457.51 |=================================================================== 3 . 456.91 |=================================================================== MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better 1 . 1300.12 |================================================================== 2 . 1305.29 |================================================================== 3 . 1304.01 |================================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 0.542 |=================================================================== 2 . 0.550 |==================================================================== 3 . 0.552 |==================================================================== TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better 1 . 387017 |=================================================================== 2 . 386977 |=================================================================== 3 . 387009 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better 1 . 5572917 |================================================================== 2 . 5574923 |================================================================== 3 . 5571717 |================================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better 1 . 280959 |=================================================================== 2 . 279167 |=================================================================== 3 . 279158 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better 1 . 259621 |=================================================================== 2 . 259600 |=================================================================== 3 . 259575 |=================================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better 1 . 266426 |=================================================================== 2 . 266319 |=================================================================== 3 . 266346 |=================================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better 1 . 5048647 |================================================================== 2 . 5046933 |================================================================== 3 . 5048433 |================================================================== ASTC Encoder 2.0 Preset: Fast Seconds < Lower Is Better 1 . 7.39 |===================================================================== 2 . 7.39 |===================================================================== 3 . 7.37 |===================================================================== ASTC Encoder 2.0 Preset: Medium Seconds < Lower Is Better 1 . 8.30 |===================================================================== 2 . 8.30 |===================================================================== 3 . 8.30 |===================================================================== ASTC Encoder 2.0 Preset: Thorough Seconds < Lower Is Better 1 . 52.39 |==================================================================== 2 . 52.46 |==================================================================== 3 . 52.40 |==================================================================== ASTC Encoder 2.0 Preset: Exhaustive Seconds < Lower Is Better 1 . 425.23 |=================================================================== 2 . 425.58 |=================================================================== 3 . 425.39 |=================================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better 1 . 62.80 |==================================================================== 2 . 62.69 |==================================================================== 3 . 62.77 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better 1 . 9.297 |==================================================================== 2 . 9.267 |==================================================================== 3 . 9.267 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better 1 . 58.59 |==================================================================== 2 . 58.63 |==================================================================== 3 . 58.62 |==================================================================== Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better 1 . 114.27 |=================================================================== 2 . 114.19 |=================================================================== 3 . 114.26 |=================================================================== Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better 1 . 702.91 |=================================================================== 2 . 701.85 |=================================================================== 3 . 704.13 |=================================================================== Darktable 3.2.1 Test: Boat - Acceleration: CPU-only Seconds < Lower Is Better 1 . 12.62 |==================================================================== 2 . 12.48 |=================================================================== 3 . 12.51 |=================================================================== Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only Seconds < Lower Is Better 1 . 8.019 |==================================================================== 2 . 7.963 |=================================================================== 3 . 8.026 |==================================================================== Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only Seconds < Lower Is Better 1 . 0.230 |=================================================================== 2 . 0.229 |=================================================================== 3 . 0.234 |==================================================================== Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only Seconds < Lower Is Better 1 . 6.318 |==================================================================== 2 . 6.274 |==================================================================== 3 . 6.292 |==================================================================== Hugin Panorama Photo Assistant + Stitching Time Seconds < Lower Is Better 1 . 62.00 |=================================================================== 2 . 61.97 |=================================================================== 3 . 62.71 |==================================================================== OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document Seconds < Lower Is Better 1 . 32.16 |==================================================================== 2 . 32.23 |==================================================================== 3 . 32.26 |==================================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better 1 . 79.96 |==================================================================== 2 . 79.42 |=================================================================== 3 . 80.35 |==================================================================== Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better 1 . 2624535.48 |=============================================================== 2 . 2159676.18 |==================================================== 3 . 1559670.96 |===================================== Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better 1 . 1951987.09 |============================================================= 2 . 1947660.53 |============================================================= 3 . 2004338.25 |=============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better 1 . 1437805.00 |============================================================== 2 . 1413366.45 |============================================================= 3 . 1459398.53 |=============================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better 1 . 2310604.62 |=============================================================== 2 . 2095708.19 |========================================================= 3 . 2135888.90 |========================================================== Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better 1 . 1725875.75 |============================================================== 2 . 1754885.38 |=============================================================== 3 . 1695298.03 |============================================================= Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 49082 |==================================================================== 2 . 49047 |==================================================================== 3 . 48962 |==================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 120634 |=================================================================== 2 . 120679 |=================================================================== 3 . 120291 |=================================================================== Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 8.853 |==================================================================== 2 . 8.848 |==================================================================== 3 . 8.874 |==================================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better 1 . 34.93 |==================================================================== 2 . 35.00 |==================================================================== 3 . 35.17 |==================================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.937 |==================================================================== 2 . 4.936 |==================================================================== 3 . 4.910 |==================================================================== Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 5.819 |==================================================================== 2 . 5.824 |==================================================================== 3 . 5.811 |==================================================================== Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better 1 . 42.57 |==================================================================== 2 . 42.44 |==================================================================== 3 . 42.55 |==================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 21.87 |==================================================================== 2 . 21.67 |=================================================================== 3 . 21.83 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 23.82 |==================================================================== 2 . 23.71 |==================================================================== 3 . 23.71 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 6.66 |===================================================================== 2 . 6.64 |===================================================================== 3 . 6.68 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.18 |==================================================================== 2 . 6.11 |=================================================================== 3 . 6.25 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.79 |==================================================================== 2 . 4.82 |===================================================================== 3 . 4.84 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 6.32 |===================================================================== 2 . 6.27 |==================================================================== 3 . 6.30 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 9.21 |===================================================================== 2 . 9.10 |==================================================================== 3 . 9.16 |===================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.95 |===================================================================== 2 . 1.92 |==================================================================== 3 . 1.92 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 19.42 |==================================================================== 2 . 19.30 |=================================================================== 3 . 19.51 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 72.57 |==================================================================== 2 . 72.10 |=================================================================== 3 . 72.72 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 17.83 |=================================================================== 2 . 17.75 |=================================================================== 3 . 18.00 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 18.95 |==================================================================== 2 . 18.57 |=================================================================== 3 . 18.81 |=================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 37.32 |==================================================================== 2 . 37.05 |==================================================================== 3 . 37.31 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 32.96 |==================================================================== 2 . 32.84 |=================================================================== 3 . 33.20 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 4.84 |===================================================================== 2 . 4.85 |===================================================================== 3 . 4.85 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 8.28 |===================================================================== 2 . 8.25 |===================================================================== 3 . 8.27 |===================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 2.57 |===================================================================== 2 . 2.58 |===================================================================== 3 . 2.58 |===================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 3.57 |===================================================================== 2 . 3.58 |===================================================================== 3 . 3.58 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 2.32 |===================================================================== 2 . 2.33 |===================================================================== 3 . 2.32 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 2.78 |===================================================================== 2 . 2.76 |===================================================================== 3 . 2.76 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 9.33 |===================================================================== 2 . 9.34 |===================================================================== 3 . 9.36 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 0.91 |===================================================================== 2 . 0.88 |=================================================================== 3 . 0.87 |================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 5.74 |===================================================================== 2 . 5.70 |===================================================================== 3 . 5.69 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 10.82 |==================================================================== 2 . 10.71 |=================================================================== 3 . 10.61 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 2.16 |===================================================================== 2 . 2.17 |===================================================================== 3 . 2.17 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 4.09 |===================================================================== 2 . 4.10 |===================================================================== 3 . 4.09 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 6.10 |===================================================================== 2 . 6.13 |===================================================================== 3 . 6.09 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 11.26 |==================================================================== 2 . 11.29 |==================================================================== 3 . 11.30 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 263.82 |=================================================================== 2 . 264.30 |=================================================================== 3 . 264.12 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 260.26 |=================================================================== 2 . 260.45 |=================================================================== 3 . 260.44 |=================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better 1 . 0.930 |==================================================================== 2 . 0.935 |==================================================================== 3 . 0.931 |==================================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better 1 . 1.954 |==================================================================== 2 . 1.958 |==================================================================== 3 . 1.958 |==================================================================== Blender 2.90 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 1 . 323.46 |=================================================================== 2 . 324.80 |=================================================================== 3 . 325.17 |=================================================================== PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better 1 . 1020 |===================================================================== 2 . 1017 |===================================================================== 3 . 1021 |===================================================================== PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better 1 . 249 |====================================================================== 2 . 248 |====================================================================== 3 . 248 |====================================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better 1 . 320 |====================================================================== 2 . 321 |====================================================================== 3 . 321 |====================================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better 1 . 111 |====================================================================== 2 . 111 |====================================================================== 3 . 111 |====================================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better 1 . 117 |====================================================================== 2 . 116 |===================================================================== 3 . 117 |====================================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better 1 . 117 |====================================================================== 2 . 117 |====================================================================== 3 . 117 |====================================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better 1 . 17.7 |===================================================================== 2 . 17.7 |===================================================================== 3 . 17.8 |===================================================================== PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better 1 . 480 |====================================================================== 2 . 477 |====================================================================== 3 . 476 |===================================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better 1 . 27.2 |===================================================================== 2 . 27.3 |===================================================================== 3 . 27.3 |===================================================================== PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better 1 . 116 |====================================================================== 2 . 116 |====================================================================== 3 . 116 |====================================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better 1 . 169 |====================================================================== 2 . 170 |====================================================================== 3 . 168 |===================================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better 1 . 8.02 |==================================================================== 2 . 8.08 |===================================================================== 3 . 8.13 |===================================================================== PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better 1 . 46.9 |===================================================================== 2 . 46.7 |===================================================================== 3 . 46.8 |===================================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better 1 . 440 |====================================================================== 2 . 439 |====================================================================== 3 . 438 |====================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 340004918.54 |============================================================= 2 . 339696862.30 |============================================================= 3 . 339643088.46 |============================================================= AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better 1 . 755 |===================================================================== 2 . 761 |====================================================================== 3 . 763 |====================================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better 1 . 788 |====================================================================== 2 . 788 |====================================================================== 3 . 790 |====================================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better 1 . 1543 |===================================================================== 2 . 1549 |===================================================================== 3 . 1553 |===================================================================== Geekbench 5 Test: GPU Vulkan Score > Higher Is Better 1 . 36246 |=================================================================== 2 . 36793 |==================================================================== 3 . 36985 |==================================================================== Geekbench 5 Test: CPU Multi Core Score > Higher Is Better 1 . 5227 |===================================================================== 2 . 5248 |===================================================================== 3 . 5256 |===================================================================== Geekbench 5 Test: CPU Single Core Score > Higher Is Better 1 . 1223 |===================================================================== 2 . 1228 |===================================================================== 3 . 1228 |===================================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better 1 . 604079 |=================================================================== 2 . 604512 |=================================================================== 3 . 604322 |=================================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 49.12 |==================================================================== 2 . 49.12 |==================================================================== 3 . 49.14 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 74.11 |================================================================== 2 . 76.91 |==================================================================== 3 . 75.29 |=================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 21.43 |==================================================================== 2 . 21.44 |==================================================================== 3 . 21.52 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 3.19 |==================================================================== 2 . 3.20 |===================================================================== 3 . 3.22 |===================================================================== Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis Seconds < Lower Is Better 1 . 1.948 |================================================================== 2 . 1.965 |=================================================================== 3 . 1.996 |==================================================================== Tesseract OCR 4.1.1 Time To OCR 7 Images Seconds < Lower Is Better 1 . 24.57 |==================================================================== 2 . 24.51 |==================================================================== 3 . 24.51 |==================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 6926419 |================================================================== 2 . 6434795 |============================================================= BRL-CAD 7.30.8 VGR Performance Metric VGR Performance Metric > Higher Is Better 1 . 57419 |==================================================================== 2 . 56730 |=================================================================== 3 . 56960 |===================================================================