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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101033-HA-AMDFX837036
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Audio Encoding 5 Tests
AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 2 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 7 Tests
C/C++ Compiler Tests 19 Tests
Compression Tests 3 Tests
CPU Massive 23 Tests
Creator Workloads 29 Tests
Cryptography 2 Tests
Database Test Suite 3 Tests
Encoding 10 Tests
Game Development 3 Tests
HPC - High Performance Computing 13 Tests
Imaging 8 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 10 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 2 Tests
Multi-Core 27 Tests
NVIDIA GPU Compute 6 Tests
Intel oneAPI 3 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 2 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 12 Tests
Python Tests 6 Tests
Raytracing 2 Tests
Renderers 4 Tests
Scientific Computing 3 Tests
Server 6 Tests
Server CPU Tests 14 Tests
Single-Threaded 7 Tests
Speech 3 Tests
Telephony 3 Tests
Video Encoding 5 Tests

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Vet 1
January 01 2021
  1 Day, 14 Hours, 13 Minutes
Vet 2
January 02 2021
  1 Day, 12 Hours, 50 Minutes
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  1 Day, 13 Hours, 32 Minutes
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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 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: GET Requests Per Second > Higher Is Better Vet 1 . 1420635.00 |=========================================================== Vet 2 . 1291856.21 |====================================================== CLOMP 1.2 Static OMP Speedup Speedup > Higher Is Better Vet 1 . 2.8 |============================================================== Vet 2 . 3.0 |================================================================== LuxCoreRender 2.3 Scene: DLSC M samples/sec > Higher Is Better Vet 1 . 0.49 |============================================================= Vet 2 . 0.52 |================================================================= Basis Universal 1.12 Settings: UASTC Level 3 Seconds < Lower Is Better Vet 1 . 178.49 |=============================================================== Vet 2 . 169.52 |============================================================ Stress-NG 0.11.07 Test: Context Switching Bogo Ops/s > Higher Is Better Vet 1 . 958188.67 |============================================================ Vet 2 . 917908.08 |========================================================= simdjson 0.7.1 Throughput Test: Kostya GB/s > Higher Is Better Vet 1 . 0.29 |=============================================================== Vet 2 . 0.30 |================================================================= 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: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 5.74220 |============================================================ Vet 2 . 5.92877 |============================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better Vet 1 . 5.31 |================================================================= Vet 2 . 5.15 |=============================================================== NCNN 20201218 Target: CPU - Model: blazeface ms < Lower Is Better Vet 1 . 4.55 |================================================================= Vet 2 . 4.43 |=============================================================== Redis 6.0.9 Test: SET Requests Per Second > Higher Is Better Vet 1 . 1077335.42 |========================================================= Vet 2 . 1106164.79 |=========================================================== Darktable 3.2.1 Test: Boat - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 35.37 |============================================================== Vet 2 . 36.31 |================================================================ NCNN 20201218 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better Vet 1 . 18.80 |================================================================ Vet 2 . 18.33 |============================================================== 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 |============================================================ oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 24.07 |============================================================== Vet 2 . 24.68 |================================================================ Darktable 3.2.1 Test: Server Rack - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 0.491 |============================================================== Vet 2 . 0.503 |================================================================ Stockfish 12 Total Time Nodes Per Second > Higher Is Better Vet 1 . 6971484 |============================================================== Vet 2 . 6814594 |============================================================= WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better Vet 1 . 30.65 |================================================================ Vet 2 . 30.03 |=============================================================== LuxCoreRender 2.3 Scene: Rainbow Colors and Prism M samples/sec > Higher Is Better Vet 1 . 0.52 |================================================================= Vet 2 . 0.51 |================================================================ 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 |============================================================ 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 |=============================================================== Mobile Neural Network 2020-09-17 Model: inception-v3 ms < Lower Is Better Vet 1 . 1344.89 |============================================================== Vet 2 . 1325.20 |============================================================= Stress-NG 0.11.07 Test: MEMFD Bogo Ops/s > Higher Is Better Vet 1 . 127.99 |=============================================================== Vet 2 . 126.33 |============================================================== Redis 6.0.9 Test: LPUSH Requests Per Second > Higher Is Better Vet 1 . 806438.96 |============================================================ Vet 2 . 796182.64 |=========================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better Vet 1 . 160 |================================================================== Vet 2 . 158 |================================================================= Warsow 2.5 Beta Resolution: 1920 x 1080 Frames Per Second > Higher Is Better Vet 1 . 143.7 |=============================================================== Vet 2 . 145.5 |================================================================ Mobile Neural Network 2020-09-17 Model: SqueezeNetV1.0 ms < Lower Is Better Vet 1 . 159.81 |=============================================================== Vet 2 . 157.85 |============================================================== OpenVKL 0.9 Benchmark: vklBenchmark Items / Sec > Higher Is Better Vet 1 . 32.27 |=============================================================== Vet 2 . 32.67 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 2 Seconds < Lower Is Better Vet 1 . 168.71 |=============================================================== Vet 2 . 166.70 |============================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better Vet 1 . 134.66 |============================================================== Vet 2 . 136.25 |=============================================================== PHPBench 0.8.1 PHP Benchmark Suite Score > Higher Is Better Vet 1 . 415846 |============================================================== Vet 2 . 420714 |=============================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better Vet 1 . 242.7 |=============================================================== Vet 2 . 245.5 |================================================================ LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better Vet 1 . 3697.1 |=============================================================== Vet 2 . 3657.2 |============================================================== x265 3.4 Video Input: Bosphorus 1080p Frames Per Second > Higher Is Better Vet 1 . 19.52 |================================================================ Vet 2 . 19.32 |=============================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Bedroom M samples/s > Higher Is Better Vet 1 . 0.490 |================================================================ Vet 2 . 0.485 |=============================================================== 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 |================================================================= NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better Vet 1 . 25.05 |================================================================ Vet 2 . 24.80 |=============================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 32.62 |=============================================================== Vet 2 . 32.93 |================================================================ Stress-NG 0.11.07 Test: Malloc Bogo Ops/s > Higher Is Better Vet 1 . 22154552.21 |========================================================== Vet 2 . 21949359.53 |========================================================= Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better Vet 1 . 156.34 |============================================================== Vet 2 . 157.77 |=============================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better Vet 1 . 1081.7 |============================================================== Vet 2 . 1091.1 |=============================================================== LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better Vet 1 . 3653.9 |=============================================================== Vet 2 . 3622.7 |============================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better Vet 1 . 3656.0 |=============================================================== Vet 2 . 3625.3 |============================================================== Stress-NG 0.11.07 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better Vet 1 . 55.09 |=============================================================== Vet 2 . 55.53 |================================================================ Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better Vet 1 . 247.2 |================================================================ Vet 2 . 245.3 |================================================================ LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed MB/s > Higher Is Better Vet 1 . 3387.29 |============================================================== Vet 2 . 3362.32 |============================================================== Mobile Neural Network 2020-09-17 Model: MobileNetV2_224 ms < Lower Is Better Vet 1 . 84.92 |================================================================ Vet 2 . 85.55 |================================================================ GIMP 2.10.18 Test: unsharp-mask Seconds < Lower Is Better Vet 1 . 28.99 |================================================================ Vet 2 . 29.17 |================================================================ NCNN 20201218 Target: CPU - Model: regnety_400m ms < Lower Is Better Vet 1 . 40.24 |================================================================ Vet 2 . 39.99 |================================================================ Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better Vet 1 . 247.9 |================================================================ Vet 2 . 246.4 |================================================================ asmFish 2018-07-23 1024 Hash Memory, 26 Depth Nodes/second > Higher Is Better Vet 1 . 10590695 |============================================================= Vet 2 . 10527008 |============================================================= Zstd Compression 1.4.5 Compression Level: 19 MB/s > Higher Is Better Vet 1 . 16.9 |================================================================= Vet 2 . 16.8 |================================================================= Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better Vet 1 . 944.8 |================================================================ Vet 2 . 950.1 |================================================================ NCNN 20201218 Target: CPU - Model: alexnet ms < Lower Is Better Vet 1 . 49.72 |================================================================ Vet 2 . 49.99 |================================================================ WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better Vet 1 . 3.573 |================================================================ Vet 2 . 3.554 |================================================================ Redis 6.0.9 Test: SADD Requests Per Second > Higher Is Better Vet 1 . 1212043.04 |=========================================================== Vet 2 . 1205601.54 |=========================================================== NCNN 20201218 Target: CPU - Model: mobilenet ms < Lower Is Better Vet 1 . 98.29 |================================================================ Vet 2 . 97.78 |================================================================ GIMP 2.10.18 Test: auto-levels Seconds < Lower Is Better Vet 1 . 25.47 |================================================================ Vet 2 . 25.34 |================================================================ RNNoise 2020-06-28 Seconds < Lower Is Better Vet 1 . 47.77 |================================================================ Vet 2 . 47.54 |================================================================ WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better Vet 1 . 2.444 |================================================================ Vet 2 . 2.433 |================================================================ 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: Forking Bogo Ops/s > Higher Is Better Vet 1 . 18452.92 |============================================================= Vet 2 . 18535.23 |============================================================= NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better Vet 1 . 23.00 |================================================================ Vet 2 . 23.10 |================================================================ 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 |================================================================ Stress-NG 0.11.07 Test: Crypto Bogo Ops/s > Higher Is Better Vet 1 . 872.89 |=============================================================== Vet 2 . 869.13 |=============================================================== GIMP 2.10.18 Test: rotate Seconds < Lower Is Better Vet 1 . 24.24 |================================================================ Vet 2 . 24.14 |================================================================ Stress-NG 0.11.07 Test: Socket Activity Bogo Ops/s > Higher Is Better Vet 1 . 1776.16 |============================================================== Vet 2 . 1783.24 |============================================================== Darktable 3.2.1 Test: Masskrug - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 28.64 |================================================================ Vet 2 . 28.75 |================================================================ Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better Vet 1 . 320.2 |================================================================ Vet 2 . 319.0 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 8 Seconds < Lower Is Better Vet 1 . 12.86 |================================================================ Vet 2 . 12.81 |================================================================ 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 |================================================================ Stress-NG 0.11.07 Test: Atomic Bogo Ops/s > Higher Is Better Vet 1 . 54519.87 |============================================================= Vet 2 . 54711.61 |============================================================= YafaRay 3.4.1 Total Time For Sample Scene Seconds < Lower Is Better Vet 1 . 439.47 |=============================================================== Vet 2 . 437.99 |=============================================================== 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 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 10 Seconds < Lower Is Better Vet 1 . 11.90 |================================================================ Vet 2 . 11.86 |================================================================ rav1e 0.4 Alpha Speed: 5 Frames Per Second > Higher Is Better Vet 1 . 0.322 |================================================================ Vet 2 . 0.321 |================================================================ Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better Vet 1 . 71021 |================================================================ Vet 2 . 70801 |================================================================ DeepSpeech 0.6 Acceleration: CPU Seconds < Lower Is Better Vet 1 . 287.01 |=============================================================== Vet 2 . 286.13 |=============================================================== Mobile Neural Network 2020-09-17 Model: resnet-v2-50 ms < Lower Is Better Vet 1 . 1131.68 |============================================================== Vet 2 . 1128.31 |============================================================== Stress-NG 0.11.07 Test: System V Message Passing Bogo Ops/s > Higher Is Better Vet 1 . 2212153.79 |=========================================================== Vet 2 . 2206047.98 |=========================================================== 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 |=============================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better Vet 1 . 1.514 |================================================================ Vet 2 . 1.510 |================================================================ x264 2019-12-17 H.264 Video Encoding Frames Per Second > Higher Is Better Vet 1 . 30.29 |================================================================ Vet 2 . 30.21 |================================================================ oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 10.22 |================================================================ Vet 2 . 10.20 |================================================================ NCNN 20201218 Target: CPU - Model: yolov4-tiny ms < Lower Is Better Vet 1 . 201.70 |=============================================================== Vet 2 . 202.21 |=============================================================== Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better Vet 1 . 316.4 |================================================================ Vet 2 . 317.2 |================================================================ Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better Vet 1 . 395398 |=============================================================== Vet 2 . 394414 |=============================================================== IndigoBench 4.4 Acceleration: CPU - Scene: Supercar M samples/s > Higher Is Better Vet 1 . 1.210 |================================================================ Vet 2 . 1.207 |================================================================ Coremark 1.0 CoreMark Size 666 - Iterations Per Second Iterations/Sec > Higher Is Better Vet 1 . 122656.51 |============================================================ Vet 2 . 122356.31 |============================================================ Stress-NG 0.11.07 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better Vet 1 . 267246.20 |============================================================ Vet 2 . 266600.95 |============================================================ rav1e 0.4 Alpha Speed: 6 Frames Per Second > Higher Is Better Vet 1 . 0.416 |================================================================ Vet 2 . 0.415 |================================================================ Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better Vet 1 . 177755 |=============================================================== Vet 2 . 178137 |=============================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better Vet 1 . 252.49 |=============================================================== Vet 2 . 251.96 |=============================================================== Stress-NG 0.11.07 Test: SENDFILE Bogo Ops/s > Higher Is Better Vet 1 . 50924.75 |============================================================= Vet 2 . 50818.29 |============================================================= Basis Universal 1.12 Settings: UASTC Level 2 + RDO Post-Processing Seconds < Lower Is Better Vet 1 . 1121.06 |============================================================== Vet 2 . 1118.93 |============================================================== Basis Universal 1.12 Settings: UASTC Level 2 Seconds < Lower Is Better Vet 1 . 88.18 |================================================================ Vet 2 . 88.01 |================================================================ GIMP 2.10.18 Test: resize Seconds < Lower Is Better Vet 1 . 18.96 |================================================================ Vet 2 . 18.99 |================================================================ Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better Vet 1 . 15.71 |================================================================ Vet 2 . 15.74 |================================================================ 7-Zip Compression 16.02 Compress Speed Test MIPS > Higher Is Better Vet 1 . 21231 |================================================================ Vet 2 . 21195 |================================================================ LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed MB/s > Higher Is Better Vet 1 . 29.81 |================================================================ Vet 2 . 29.86 |================================================================ Stress-NG 0.11.07 Test: Memory Copying Bogo Ops/s > Higher Is Better Vet 1 . 1002.06 |============================================================== Vet 2 . 1003.73 |============================================================== Hugin Panorama Photo Assistant + Stitching Time Seconds < Lower Is Better Vet 1 . 105.81 |=============================================================== Vet 2 . 105.65 |=============================================================== SQLite Speedtest 3.30 Timed Time - Size 1,000 Seconds < Lower Is Better Vet 1 . 122.13 |=============================================================== Vet 2 . 122.30 |=============================================================== Basis Universal 1.12 Settings: ETC1S Seconds < Lower Is Better Vet 1 . 104.18 |=============================================================== Vet 2 . 104.33 |=============================================================== Stress-NG 0.11.07 Test: NUMA Bogo Ops/s > Higher Is Better Vet 1 . 84.19 |================================================================ Vet 2 . 84.08 |================================================================ Timed GDB GNU Debugger Compilation 9.1 Time To Compile Seconds < Lower Is Better Vet 1 . 231.26 |=============================================================== Vet 2 . 230.97 |=============================================================== NCNN 20201218 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better Vet 1 . 39.88 |================================================================ Vet 2 . 39.93 |================================================================ FLAC Audio Encoding 1.3.2 WAV To FLAC Seconds < Lower Is Better Vet 1 . 16.93 |================================================================ Vet 2 . 16.91 |================================================================ 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 |============================================================== Basis Universal 1.12 Settings: UASTC Level 0 Seconds < Lower Is Better Vet 1 . 14.90 |================================================================ Vet 2 . 14.89 |================================================================ librsvg Operation: SVG Files To PNG Seconds < Lower Is Better Vet 1 . 43.32 |================================================================ Vet 2 . 43.38 |================================================================ libavif avifenc 0.7.3 Encoder Speed: 0 Seconds < Lower Is Better Vet 1 . 275.52 |=============================================================== Vet 2 . 275.21 |=============================================================== Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better Vet 1 . 1273595 |============================================================== Vet 2 . 1272166 |============================================================== OCRMyPDF 10.3.1+dfsg Processing 60 Page PDF Document Seconds < Lower Is Better Vet 1 . 62.37 |================================================================ Vet 2 . 62.44 |================================================================ rays1bench 2020-01-09 Large Scene mrays/s > Higher Is Better Vet 1 . 9.06 |================================================================= Vet 2 . 9.05 |================================================================= Timed Apache Compilation 2.4.41 Time To Compile Seconds < Lower Is Better Vet 1 . 48.37 |================================================================ Vet 2 . 48.32 |================================================================ 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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Vet 1 . 13.59 |================================================================ Vet 2 . 13.60 |================================================================ 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 |================================================================ 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 |================================================================ TensorFlow Lite 2020-08-23 Model: SqueezeNet Microseconds < Lower Is Better Vet 1 . 512325 |=============================================================== Vet 2 . 512833 |=============================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better Vet 1 . 315.2 |================================================================ Vet 2 . 314.9 |================================================================ 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: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Vet 1 . 44745.0 |============================================================== Vet 2 . 44784.5 |============================================================== LAME MP3 Encoding 3.100 WAV To MP3 Seconds < Lower Is Better Vet 1 . 13.63 |================================================================ Vet 2 . 13.62 |================================================================ Stress-NG 0.11.07 Test: Matrix Math Bogo Ops/s > Higher Is Better Vet 1 . 15073.34 |============================================================= Vet 2 . 15086.29 |============================================================= rav1e 0.4 Alpha Speed: 10 Frames Per Second > Higher Is Better Vet 1 . 1.170 |================================================================ Vet 2 . 1.171 |================================================================ 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 |================================================================ Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better Vet 1 . 244.1 |================================================================ Vet 2 . 243.9 |================================================================ NCNN 20201218 Target: CPU - Model: mnasnet ms < Lower Is Better Vet 1 . 24.69 |================================================================ Vet 2 . 24.71 |================================================================ Timed MPlayer Compilation 1.4 Time To Compile Seconds < Lower Is Better Vet 1 . 113.04 |=============================================================== Vet 2 . 112.95 |=============================================================== Stress-NG 0.11.07 Test: Vector Math Bogo Ops/s > Higher Is Better Vet 1 . 23898.11 |============================================================= Vet 2 . 23915.82 |============================================================= 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 |============================================================== TensorFlow Lite 2020-08-23 Model: Mobilenet Float Microseconds < Lower Is Better Vet 1 . 351171 |=============================================================== Vet 2 . 351424 |=============================================================== 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 |================================================================ TensorFlow Lite 2020-08-23 Model: Inception V4 Microseconds < Lower Is Better Vet 1 . 7343657 |============================================================== Vet 2 . 7348723 |============================================================== Mobile Neural Network 2020-09-17 Model: mobilenet-v1-1.0 ms < Lower Is Better Vet 1 . 169.00 |=============================================================== Vet 2 . 168.89 |=============================================================== Numpy Benchmark Score > Higher Is Better Vet 1 . 150.23 |=============================================================== Vet 2 . 150.33 |=============================================================== Crafty 25.2 Elapsed Time Nodes Per Second > Higher Is Better Vet 1 . 5195271 |============================================================== Vet 2 . 5198696 |============================================================== LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed MB/s > Higher Is Better Vet 1 . 30.96 |================================================================ Vet 2 . 30.94 |================================================================ Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better Vet 1 . 943.8 |================================================================ Vet 2 . 944.4 |================================================================ John The Ripper 1.9.0-jumbo-1 Test: MD5 Real C/S > Higher Is Better Vet 1 . 256221 |=============================================================== Vet 2 . 256381 |=============================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better Vet 1 . 392.48 |=============================================================== Vet 2 . 392.28 |=============================================================== NCNN 20201218 Target: CPU - Model: resnet50 ms < Lower Is Better Vet 1 . 211.76 |=============================================================== Vet 2 . 211.65 |=============================================================== TensorFlow Lite 2020-08-23 Model: NASNet Mobile Microseconds < Lower Is Better Vet 1 . 383504 |=============================================================== Vet 2 . 383701 |=============================================================== NCNN 20201218 Target: CPU - Model: googlenet ms < Lower Is Better Vet 1 . 99.74 |================================================================ Vet 2 . 99.69 |================================================================ NCNN 20201218 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better Vet 1 . 103.79 |=============================================================== Vet 2 . 103.84 |=============================================================== Stress-NG 0.11.07 Test: Semaphores Bogo Ops/s > Higher Is Better Vet 1 . 505610.19 |============================================================ Vet 2 . 505851.94 |============================================================ TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Microseconds < Lower Is Better Vet 1 . 357144 |=============================================================== Vet 2 . 357312 |=============================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better Vet 1 . 513.82 |=============================================================== Vet 2 . 513.59 |=============================================================== NCNN 20201218 Target: CPU - Model: resnet18 ms < Lower Is Better Vet 1 . 91.23 |================================================================ Vet 2 . 91.27 |================================================================ Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better Vet 1 . 26.40 |================================================================ Vet 2 . 26.39 |================================================================ WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better Vet 1 . 22.97 |================================================================ Vet 2 . 22.97 |================================================================ TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better Vet 1 . 528.35 |=============================================================== Vet 2 . 528.55 |=============================================================== 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 |================================================================ John The Ripper 1.9.0-jumbo-1 Test: Blowfish Real C/S > Higher Is Better Vet 1 . 6411 |================================================================= Vet 2 . 6409 |================================================================= Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better Vet 1 . 191.72 |=============================================================== Vet 2 . 191.67 |=============================================================== RawTherapee Total Benchmark Time Seconds < Lower Is Better Vet 1 . 138.97 |=============================================================== Vet 2 . 139.01 |=============================================================== NCNN 20201218 Target: CPU - Model: vgg16 ms < Lower Is Better Vet 1 . 767.38 |=============================================================== Vet 2 . 767.18 |=============================================================== TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Microseconds < Lower Is Better Vet 1 . 6618533 |============================================================== Vet 2 . 6619900 |============================================================== Darktable 3.2.1 Test: Server Room - Acceleration: CPU-only Seconds < Lower Is Better Vet 1 . 26.73 |================================================================ Vet 2 . 26.73 |================================================================ Zstd Compression 1.4.5 Compression Level: 3 MB/s > Higher Is Better Vet 1 . 1745.5 |=============================================================== Vet 2 . 1745.6 |=============================================================== GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better Vet 1 . 0.074 |================================================================ Vet 2 . 0.074 |================================================================ Intel Open Image Denoise 1.2.0 Scene: Memorial Images / Sec > Higher Is Better Vet 1 . 0.87 |================================================================= Vet 2 . 0.87 |================================================================= x265 3.4 Video Input: Bosphorus 4K Frames Per Second > Higher Is Better Vet 1 . 4.55 |================================================================= Vet 2 . 4.55 |================================================================= rav1e 0.4 Alpha Speed: 1 Frames Per Second > Higher Is Better Vet 1 . 0.115 |================================================================ Vet 2 . 0.115 |================================================================ 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 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 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: Medium Frames Per Second > Higher Is Better Vet 1 . 0.45 |================================================================= Vet 2 . 0.45 |================================================================= LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better Vet 1 . 17.99 |================================================================ Vet 2 . 17.99 |================================================================ simdjson 0.7.1 Throughput Test: DistinctUserID GB/s > Higher Is Better Vet 1 . 0.38 |================================================================= Vet 2 . 0.38 |================================================================= 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: LargeRandom GB/s > Higher Is Better Vet 1 . 0.24 |================================================================= Vet 2 . 0.24 |================================================================= LeelaChessZero 0.26 Backend: Eigen Nodes Per Second > Higher Is Better Vet 1 . 138 |================================================================== Vet 2 . 138 |================================================================== GLmark2 2020.04 Resolution: 1920 x 1080 Score > Higher Is Better Vet 1 . 1322 |================================================================= Vet 2 . 1322 |================================================================= Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better Vet 1 . 32.99 |======================================================= Vet 2 . 38.11 |================================================================ 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: MMAP Bogo Ops/s > Higher Is Better Vet 1 . 12.10 |================================================================ Vet 2 . 9.86 |==================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better Vet 1 . 57.49 |============================================================= Vet 2 . 60.33 |================================================================