AMD FX-8370 2021 AMD FX-8370 Eight-Core testing with a MSI 970 GAMING (MS-7693) v4.0 (V22.3 BIOS) and AMD Radeon HD 5770 1GB on Ubuntu 20.10 via the Phoronix Test Suite. Vet 1: Processor: AMD FX-8370 Eight-Core @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI 970 GAMING (MS-7693) v4.0 (V22.3 BIOS), Chipset: AMD RD9x0/RX980, Memory: 8GB, Disk: 120GB TOSHIBA TR150, Graphics: AMD Radeon HD 5770 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Qualcomm Atheros Killer E220x OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 3.3 Mesa 20.2.1 (LLVM 11.0.0), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 Vet 2: Processor: AMD FX-8370 Eight-Core @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI 970 GAMING (MS-7693) v4.0 (V22.3 BIOS), Chipset: AMD RD9x0/RX980, Memory: 8GB, Disk: 120GB TOSHIBA TR150, Graphics: AMD Radeon HD 5770 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Qualcomm Atheros Killer E220x OS: Ubuntu 20.10, Kernel: 5.8.0-33-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 3.3 Mesa 20.2.1 (LLVM 11.0.0), Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080 GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better Vet 1 . 1322 |================================================================= Vet 2 . 1322 |================================================================= LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better Vet 1 . 160 |================================================================== Vet 2 . 158 |================================================================= LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better Vet 1 . 138 |================================================================== Vet 2 . 138 |================================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better Vet 1 . 2.8 |============================================================== Vet 2 . 3.0 |================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better Vet 1 . 191.72 |=============================================================== Vet 2 . 191.67 |=============================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better Vet 1 . 1.514 |================================================================ Vet 2 . 1.510 |================================================================ WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better Vet 1 . 2.444 |================================================================ Vet 2 . 2.433 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better Vet 1 . 3.573 |================================================================ Vet 2 . 3.554 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better Vet 1 . 30.65 |================================================================ Vet 2 . 30.03 |=============================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better Vet 1 . 11.41 |================================================================ Vet 2 . 11.40 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better Vet 1 . 66.56 |================================================================ Vet 2 . 66.78 |================================================================ simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better Vet 1 . 0.29 |=============================================================== Vet 2 . 0.30 |================================================================= simdjson 0.7.1 Throughput Test: LargeRandom GB/s > Higher Is Better Vet 1 . 0.24 |================================================================= Vet 2 . 0.24 |================================================================= simdjson 0.7.1 Throughput Test: PartialTweets GB/s > Higher Is Better Vet 1 . 0.37 |================================================================= Vet 2 . 0.37 |================================================================= simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better Vet 1 . 0.38 |================================================================= Vet 2 . 0.38 |================================================================= LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better Vet 1 . 3387.29 |============================================================== Vet 2 . 3362.32 |============================================================== LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better Vet 1 . 3697.1 |=============================================================== Vet 2 . 3657.2 |============================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better Vet 1 . 30.96 |================================================================ Vet 2 . 30.94 |================================================================ LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better Vet 1 . 3656.0 |=============================================================== Vet 2 . 3625.3 |============================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better Vet 1 . 29.81 |================================================================ Vet 2 . 29.86 |================================================================ LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better Vet 1 . 3653.9 |=============================================================== Vet 2 . 3622.7 |============================================================== Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better Vet 1 . 1745.5 |=============================================================== Vet 2 . 1745.6 |=============================================================== Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better Vet 1 . 16.9 |================================================================= Vet 2 . 16.8 |================================================================= LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better Vet 1 . 17.99 |================================================================ Vet 2 . 17.99 |================================================================ Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better Vet 1 . 5195271 |============================================================== Vet 2 . 5198696 |============================================================== John The Ripper 1.9.0-jumbo-1 Test: Blowfish Real C/S > Higher Is Better Vet 1 . 6411 |================================================================= Vet 2 . 6409 |================================================================= John The Ripper 1.9.0-jumbo-1 Test: MD5 Real C/S > Higher Is Better Vet 1 . 256221 |=============================================================== Vet 2 . 256381 |=============================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 32.62 |=============================================================== Vet 2 . 32.93 |================================================================ oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 24.07 |============================================================== Vet 2 . 24.68 |================================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 10.22 |================================================================ Vet 2 . 10.20 |================================================================ oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 5.74220 |============================================================ Vet 2 . 5.92877 |============================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 48.15 |============================================================== Vet 2 . 49.78 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 71.20 |================================================================ Vet 2 . 71.13 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 113.86 |=============================================================== Vet 2 . 114.16 |=============================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 38.91 |================================================================ Vet 2 . 38.23 |=============================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 21.63 |================================================================ Vet 2 . 21.53 |================================================================ oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 22.21 |================================================================ Vet 2 . 22.20 |================================================================ oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 44739.8 |============================================================== Vet 2 . 44788.0 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 22758.6 |============================================================== Vet 2 . 22775.3 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 44745.0 |============================================================== Vet 2 . 44784.5 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 22769.0 |============================================================== Vet 2 . 22789.7 |============================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 13.59 |================================================================ Vet 2 . 13.60 |================================================================ oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Vet 1 . 44728.9 |============================================================== Vet 2 . 44784.2 |============================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Vet 1 . 22771.8 |============================================================== Vet 2 . 22787.9 |============================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 11.75 |================================================================ Vet 2 . 11.76 |================================================================ Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Medium Frames Per Second > Higher Is Better Vet 1 . 0.45 |================================================================= Vet 2 . 0.45 |================================================================= Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Medium Frames Per Second > Higher Is Better Vet 1 . 2.09 |================================================================= Vet 2 . 2.09 |================================================================= Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast Frames Per Second > Higher Is Better Vet 1 . 1.35 |================================================================= Vet 2 . 1.35 |================================================================= Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast Frames Per Second > Higher Is Better Vet 1 . 2.95 |================================================================ Vet 2 . 2.98 |================================================================= Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Very Fast Frames Per Second > Higher Is Better Vet 1 . 5.55 |================================================================= Vet 2 . 5.55 |================================================================= Kvazaar 2.0 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast Frames Per Second > Higher Is Better Vet 1 . 11.84 |================================================================ Vet 2 . 11.85 |================================================================ rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better Vet 1 . 0.115 |================================================================ Vet 2 . 0.115 |================================================================ rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better Vet 1 . 0.322 |================================================================ Vet 2 . 0.321 |================================================================ rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better Vet 1 . 0.416 |================================================================ Vet 2 . 0.415 |================================================================ rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better Vet 1 . 1.170 |================================================================ Vet 2 . 1.171 |================================================================ x264 2019-12-17 H.264 Video Encoding Frames Per Second > Higher Is Better Vet 1 . 30.29 |================================================================ Vet 2 . 30.21 |================================================================ x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better Vet 1 . 4.55 |================================================================= Vet 2 . 4.55 |================================================================= x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better Vet 1 . 19.52 |================================================================ Vet 2 . 19.32 |=============================================================== Intel Open Image Denoise 1.2.0 Scene: Memorial Images / Sec > Higher Is Better Vet 1 . 0.87 |================================================================= Vet 2 . 0.87 |================================================================= OpenVKL 0.9 Benchmark: vklBenchmark Items / Sec > Higher Is Better Vet 1 . 32.27 |=============================================================== Vet 2 . 32.67 |================================================================ Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better Vet 1 . 122656.51 |============================================================ Vet 2 . 122356.31 |============================================================ LuxCoreRender 2.3 Scene: DLSC M samples/sec > Higher Is Better Vet 1 . 0.49 |============================================================= Vet 2 . 0.52 |================================================================= LuxCoreRender 2.3 Scene: Rainbow Colors and Prism M samples/sec > Higher Is Better Vet 1 . 0.52 |================================================================= Vet 2 . 0.51 |================================================================ 7-Zip Compression 16.02 Compress Speed Test MIPS > Higher Is Better Vet 1 . 21231 |================================================================ Vet 2 . 21195 |================================================================ Stockfish 12 Total Time Nodes Per Second > Higher Is Better Vet 1 . 6971484 |============================================================== Vet 2 . 6814594 |============================================================= asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better Vet 1 . 10590695 |============================================================= Vet 2 . 10527008 |============================================================= libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better Vet 1 . 275.52 |=============================================================== Vet 2 . 275.21 |=============================================================== libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better Vet 1 . 168.71 |=============================================================== Vet 2 . 166.70 |============================================================== libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better Vet 1 . 12.86 |================================================================ Vet 2 . 12.81 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better Vet 1 . 11.90 |================================================================ Vet 2 . 11.86 |================================================================ Timed Apache Compilation 2.4.41 Time To Compile Seconds < Lower Is Better Vet 1 . 48.37 |================================================================ Vet 2 . 48.32 |================================================================ Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better Vet 1 . 156.34 |============================================================== Vet 2 . 157.77 |=============================================================== Timed GDB GNU Debugger Compilation 9.1 Time To Compile Seconds < Lower Is Better Vet 1 . 231.26 |=============================================================== Vet 2 . 230.97 |=============================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better Vet 1 . 252.49 |=============================================================== Vet 2 . 251.96 |=============================================================== Timed MPlayer Compilation 1.4 Time To Compile Seconds < Lower Is Better Vet 1 . 113.04 |=============================================================== Vet 2 . 112.95 |=============================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better Vet 1 . 392.48 |=============================================================== Vet 2 . 392.28 |=============================================================== YafaRay 3.4.1 Total Time For Sample Scene Seconds < Lower Is Better Vet 1 . 439.47 |=============================================================== Vet 2 . 437.99 |=============================================================== rays1bench 2020-01-09 Large Scene mrays/s > Higher Is Better Vet 1 . 9.06 |================================================================= Vet 2 . 9.05 |================================================================= Numpy Benchmark Score > Higher Is Better Vet 1 . 150.23 |=============================================================== Vet 2 . 150.33 |=============================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better Vet 1 . 134.66 |============================================================== Vet 2 . 136.25 |=============================================================== DeepSpeech 0.6 Acceleration: CPU Seconds < Lower Is Better Vet 1 . 287.01 |=============================================================== Vet 2 . 286.13 |=============================================================== Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better Vet 1 . 26.40 |================================================================ Vet 2 . 26.39 |================================================================ FLAC Audio Encoding 1.3.2 WAV To FLAC Seconds < Lower Is Better Vet 1 . 16.93 |================================================================ Vet 2 . 16.91 |================================================================ LAME MP3 Encoding 3.100 WAV To MP3 Seconds < Lower Is Better Vet 1 . 13.63 |================================================================ Vet 2 . 13.62 |================================================================ Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better Vet 1 . 15.71 |================================================================ Vet 2 . 15.74 |================================================================ eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better Vet 1 . 57.49 |============================================================= Vet 2 . 60.33 |================================================================ RNNoise 2020-06-28 Seconds < Lower Is Better Vet 1 . 47.77 |================================================================ Vet 2 . 47.54 |================================================================ Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better Vet 1 . 5.31 |================================================================= Vet 2 . 5.15 |=============================================================== Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better Vet 1 . 1273595 |============================================================== Vet 2 . 1272166 |============================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better Vet 1 . 395398 |=============================================================== Vet 2 . 394414 |=============================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better Vet 1 . 1081.7 |============================================================== Vet 2 . 1091.1 |=============================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better Vet 1 . 1093.6 |=============================================================== Vet 2 . 1089.7 |=============================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better Vet 1 . 312.0 |================================================================ Vet 2 . 310.9 |================================================================ Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better Vet 1 . 320.2 |================================================================ Vet 2 . 319.0 |================================================================ Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better Vet 1 . 244.1 |================================================================ Vet 2 . 243.9 |================================================================ Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better Vet 1 . 242.7 |=============================================================== Vet 2 . 245.5 |================================================================ Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better Vet 1 . 943.8 |================================================================ Vet 2 . 944.4 |================================================================ Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better Vet 1 . 944.8 |================================================================ Vet 2 . 950.1 |================================================================ Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better Vet 1 . 315.2 |================================================================ Vet 2 . 314.9 |================================================================ Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better Vet 1 . 316.4 |================================================================ Vet 2 . 317.2 |================================================================ Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better Vet 1 . 247.2 |================================================================ Vet 2 . 245.3 |================================================================ Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better Vet 1 . 247.9 |================================================================ Vet 2 . 246.4 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better Vet 1 . 0.074 |================================================================ Vet 2 . 0.074 |================================================================ TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better Vet 1 . 512325 |=============================================================== Vet 2 . 512833 |=============================================================== TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better Vet 1 . 7343657 |============================================================== Vet 2 . 7348723 |============================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better Vet 1 . 383504 |=============================================================== Vet 2 . 383701 |=============================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better Vet 1 . 351171 |=============================================================== Vet 2 . 351424 |=============================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better Vet 1 . 357144 |=============================================================== Vet 2 . 357312 |=============================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better Vet 1 . 6618533 |============================================================== Vet 2 . 6619900 |============================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better Vet 1 . 104.18 |=============================================================== Vet 2 . 104.33 |=============================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better Vet 1 . 14.90 |================================================================ Vet 2 . 14.89 |================================================================ Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better Vet 1 . 88.18 |================================================================ Vet 2 . 88.01 |================================================================ Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better Vet 1 . 178.49 |=============================================================== Vet 2 . 169.52 |============================================================ Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better Vet 1 . 1121.06 |============================================================== Vet 2 . 1118.93 |============================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better Vet 1 . 122.13 |=============================================================== Vet 2 . 122.30 |=============================================================== Darktable 3.2.1 Test: Boat - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 35.37 |============================================================== Vet 2 . 36.31 |================================================================ Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 28.64 |================================================================ Vet 2 . 28.75 |================================================================ Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 0.491 |============================================================== Vet 2 . 0.503 |================================================================ Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 26.73 |================================================================ Vet 2 . 26.73 |================================================================ GIMP 2.10.18 Test: resize Seconds < Lower Is Better Vet 1 . 18.96 |================================================================ Vet 2 . 18.99 |================================================================ GIMP 2.10.18 Test: rotate Seconds < Lower Is Better Vet 1 . 24.24 |================================================================ Vet 2 . 24.14 |================================================================ GIMP 2.10.18 Test: auto-levels Seconds < Lower Is Better Vet 1 . 25.47 |================================================================ Vet 2 . 25.34 |================================================================ GIMP 2.10.18 Test: unsharp-mask Seconds < Lower Is Better Vet 1 . 28.99 |================================================================ Vet 2 . 29.17 |================================================================ Hugin Panorama Photo Assistant + Stitching Time Seconds < Lower Is Better Vet 1 . 105.81 |=============================================================== Vet 2 . 105.65 |=============================================================== OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document Seconds < Lower Is Better Vet 1 . 62.37 |================================================================ Vet 2 . 62.44 |================================================================ RawTherapee Total Benchmark Time Seconds < Lower Is Better Vet 1 . 138.97 |=============================================================== Vet 2 . 139.01 |=============================================================== librsvg Operation: SVG Files To PNG Seconds < Lower Is Better Vet 1 . 43.32 |================================================================ Vet 2 . 43.38 |================================================================ Redis 6.0.9 Test: LPOP Requests Per Second > Higher Is Better Vet 1 . 1483179.58 |=========================================================== Vet 2 . 823801.38 |================================= Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better Vet 1 . 1212043.04 |=========================================================== Vet 2 . 1205601.54 |=========================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better Vet 1 . 806438.96 |============================================================ Vet 2 . 796182.64 |=========================================================== Redis 6.0.9 Test: GET Requests Per Second > Higher Is Better Vet 1 . 1420635.00 |=========================================================== Vet 2 . 1291856.21 |====================================================== Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better Vet 1 . 1077335.42 |========================================================= Vet 2 . 1106164.79 |=========================================================== Stress-NG 0.11.07 Test: MMAP Bogo Ops/s > Higher Is Better Vet 1 . 12.10 |================================================================ Vet 2 . 9.86 |==================================================== Stress-NG 0.11.07 Test: NUMA Bogo Ops/s > Higher Is Better Vet 1 . 84.19 |================================================================ Vet 2 . 84.08 |================================================================ Stress-NG 0.11.07 Test: MEMFD Bogo Ops/s > Higher Is Better Vet 1 . 127.99 |=============================================================== Vet 2 . 126.33 |============================================================== Stress-NG 0.11.07 Test: Atomic Bogo Ops/s > Higher Is Better Vet 1 . 54519.87 |============================================================= Vet 2 . 54711.61 |============================================================= Stress-NG 0.11.07 Test: Crypto Bogo Ops/s > Higher Is Better Vet 1 . 872.89 |=============================================================== Vet 2 . 869.13 |=============================================================== Stress-NG 0.11.07 Test: Malloc Bogo Ops/s > Higher Is Better Vet 1 . 22154552.21 |========================================================== Vet 2 . 21949359.53 |========================================================= Stress-NG 0.11.07 Test: Forking Bogo Ops/s > Higher Is Better Vet 1 . 18452.92 |============================================================= Vet 2 . 18535.23 |============================================================= Stress-NG 0.11.07 Test: SENDFILE Bogo Ops/s > Higher Is Better Vet 1 . 50924.75 |============================================================= Vet 2 . 50818.29 |============================================================= Stress-NG 0.11.07 Test: CPU Cache Bogo Ops/s > Higher Is Better Vet 1 . 14.76 |============================================================== Vet 2 . 15.31 |================================================================ Stress-NG 0.11.07 Test: CPU Stress Bogo Ops/s > Higher Is Better Vet 1 . 1823.75 |============================================================== Vet 2 . 1831.98 |============================================================== Stress-NG 0.11.07 Test: Semaphores Bogo Ops/s > Higher Is Better Vet 1 . 505610.19 |============================================================ Vet 2 . 505851.94 |============================================================ Stress-NG 0.11.07 Test: Matrix Math Bogo Ops/s > Higher Is Better Vet 1 . 15073.34 |============================================================= Vet 2 . 15086.29 |============================================================= Stress-NG 0.11.07 Test: Vector Math Bogo Ops/s > Higher Is Better Vet 1 . 23898.11 |============================================================= Vet 2 . 23915.82 |============================================================= Stress-NG 0.11.07 Test: Memory Copying Bogo Ops/s > Higher Is Better Vet 1 . 1002.06 |============================================================== Vet 2 . 1003.73 |============================================================== Stress-NG 0.11.07 Test: Socket Activity Bogo Ops/s > Higher Is Better Vet 1 . 1776.16 |============================================================== Vet 2 . 1783.24 |============================================================== Stress-NG 0.11.07 Test: Context Switching Bogo Ops/s > Higher Is Better Vet 1 . 958188.67 |============================================================ Vet 2 . 917908.08 |========================================================= Stress-NG 0.11.07 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better Vet 1 . 267246.20 |============================================================ Vet 2 . 266600.95 |============================================================ Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better Vet 1 . 55.09 |=============================================================== Vet 2 . 55.53 |================================================================ Stress-NG 0.11.07 Test: System V Message Passing Bogo Ops/s > Higher Is Better Vet 1 . 2212153.79 |=========================================================== Vet 2 . 2206047.98 |=========================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better Vet 1 . 71021 |================================================================ Vet 2 . 70801 |================================================================ Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better Vet 1 . 177755 |=============================================================== Vet 2 . 178137 |=============================================================== Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better Vet 1 . 159.81 |=============================================================== Vet 2 . 157.85 |============================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better Vet 1 . 1131.68 |============================================================== Vet 2 . 1128.31 |============================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better Vet 1 . 84.92 |================================================================ Vet 2 . 85.55 |================================================================ Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better Vet 1 . 169.00 |=============================================================== Vet 2 . 168.89 |=============================================================== Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better Vet 1 . 1344.89 |============================================================== Vet 2 . 1325.20 |============================================================= NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better Vet 1 . 98.29 |================================================================ Vet 2 . 97.78 |================================================================ NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better Vet 1 . 25.05 |================================================================ Vet 2 . 24.80 |=============================================================== NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better Vet 1 . 23.00 |================================================================ Vet 2 . 23.10 |================================================================ NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better Vet 1 . 18.80 |================================================================ Vet 2 . 18.33 |============================================================== NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better Vet 1 . 24.69 |================================================================ Vet 2 . 24.71 |================================================================ NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better Vet 1 . 39.88 |================================================================ Vet 2 . 39.93 |================================================================ NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better Vet 1 . 4.55 |================================================================= Vet 2 . 4.43 |=============================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better Vet 1 . 99.74 |================================================================ Vet 2 . 99.69 |================================================================ NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better Vet 1 . 767.38 |=============================================================== Vet 2 . 767.18 |=============================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better Vet 1 . 91.23 |================================================================ Vet 2 . 91.27 |================================================================ NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better Vet 1 . 49.72 |================================================================ Vet 2 . 49.99 |================================================================ NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better Vet 1 . 211.76 |=============================================================== Vet 2 . 211.65 |=============================================================== NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better Vet 1 . 201.70 |=============================================================== Vet 2 . 202.21 |=============================================================== NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better Vet 1 . 103.79 |=============================================================== Vet 2 . 103.84 |=============================================================== NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better Vet 1 . 40.24 |================================================================ Vet 2 . 39.99 |================================================================ TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better Vet 1 . 528.35 |=============================================================== Vet 2 . 528.55 |=============================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better Vet 1 . 513.82 |=============================================================== Vet 2 . 513.59 |=============================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better Vet 1 . 0.490 |================================================================ Vet 2 . 0.485 |=============================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better Vet 1 . 1.210 |================================================================ Vet 2 . 1.207 |================================================================ PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better Vet 1 . 415846 |============================================================== Vet 2 . 420714 |=============================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better Vet 1 . 22.97 |================================================================ Vet 2 . 22.97 |================================================================ Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better Vet 1 . 32.99 |======================================================= Vet 2 . 38.11 |================================================================ InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Vet 1 . 594226.4 |============================================================= Vet 2 . 579620.2 |============================================================ InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better Vet 1 . 721348.2 |============================================================= Vet 2 . 707886.5 |============================================================ Warsow 2.5 Beta Resolution: 1920 x 1080 Frames Per Second > Higher Is Better Vet 1 . 143.7 |=============================================================== Vet 2 . 145.5 |================================================================