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
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January 02 2021
  1 Day, 12 Hours, 50 Minutes
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AMD FX-8370 2021 Suite 1.0.0 System Test suite extracted from AMD FX-8370 2021. pts/mnn-1.0.1 Model: inception-v3 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/mnn-1.0.1 Model: MobileNetV2_224 pts/mnn-1.0.1 Model: resnet-v2-50 pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/gromacs-1.4.1 Water Benchmark pts/basis-1.0.2 -uastc -uastc_level 2 -uastc_rdo_q .75 Settings: UASTC Level 2 + RDO Post-Processing pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset medium Video Input: Bosphorus 4K - Video Preset: Medium pts/numpy-1.2.1 pts/ncnn-1.1.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.1.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.1.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.1.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.1.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.1.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.1.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.1.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.1.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.1.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.1.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.1.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.1.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.1.0 -1 Target: CPU - Model: mobilenet pts/influxdb-1.0.0 -c 4 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset veryfast Video Input: Bosphorus 4K - Video Preset: Very Fast pts/yafaray-1.0.0 Total Time For Sample Scene pts/build-ffmpeg-1.0.2 Time To Compile pts/clomp-1.1.1 Static OMP Speedup pts/build2-1.1.0 Time To Compile pts/compress-zstd-1.2.1 -b19 Compression Level: 19 pts/lczero-1.5.1 -b blas Backend: BLAS pts/lczero-1.5.1 -b eigen Backend: Eigen pts/basis-1.0.2 -uastc -uastc_level 3 Settings: UASTC Level 3 pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset medium Video Input: Bosphorus 1080p - Video Preset: Medium pts/avifenc-1.0.0 -s 0 Encoder Speed: 0 pts/stockfish-1.2.0 Total Time pts/asmfish-1.1.2 1024 Hash Memory, 26 Depth pts/build-linux-kernel-1.10.2 Time To Compile pts/influxdb-1.0.0 -c 64 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/deepspeech-1.0.0 CPU Acceleration: CPU pts/kvazaar-1.0.0 -i Bosphorus_3840x2160.y4m --preset ultrafast Video Input: Bosphorus 4K - Video Preset: Ultra Fast pts/oidn-1.2.0 -hdr memorial.pfm Scene: Memorial pts/build-gdb-1.0.1 Time To Compile pts/unpack-firefox-1.0.0 Extracting: firefox-84.0.source.tar.xz pts/openvkl-1.0.0 vklBenchmark Benchmark: vklBenchmark pts/espeak-1.6.1 Text-To-Speech Synthesis pts/hmmer-1.2.2 Pfam Database Search pts/rav1e-1.4.0 -s 5 -l 60 Speed: 5 pts/luxcorerender-1.2.3 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/rav1e-1.4.0 -s 1 -l 20 Speed: 1 pts/avifenc-1.0.0 -s 2 Encoder Speed: 2 pts/node-web-tooling-1.0.0 pts/tensorflow-lite-1.0.0 --graph=inception_v4.tflite Model: Inception V4 pts/tensorflow-lite-1.0.0 --graph=inception_resnet_v2.tflite Model: Inception ResNet V2 pts/stress-ng-1.3.1 --cache 0 Test: CPU Cache pts/rav1e-1.4.0 -s 6 -l 60 Speed: 6 system/rawtherapee-1.0.1 Total Benchmark Time pts/build-eigen-1.1.0 Time To Compile pts/stress-ng-1.3.1 --mmap 0 Test: MMAP pts/x265-1.3.0 Bosphorus_3840x2160.y4m Video Input: Bosphorus 4K pts/sqlite-speedtest-1.0.1 Timed Time - Size 1,000 pts/phpbench-1.1.6 PHP Benchmark Suite pts/build-mplayer-1.4.0 Time To Compile pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Decompression Speed pts/compress-lz4-1.0.0 -b9 -e9 Compression Level: 9 - Compression Speed pts/glmark2-1.2.0 -s 1920x1080 Resolution: 1920 x 1080 pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Decompression Speed pts/compress-lz4-1.0.0 -b3 -e3 Compression Level: 3 - Compression Speed pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset veryfast Video Input: Bosphorus 1080p - Video Preset: Very Fast system/hugin-1.0.0 Panorama Photo Assistant + Stitching Time pts/basis-1.0.2 Settings: ETC1S pts/rays1bench-1.0.0 Large Scene pts/basis-1.0.2 -uastc -uastc_level 2 Settings: UASTC Level 2 pts/warsow-1.6.0 +vid_width 1920 +vid_height 1080 Resolution: 1920 x 1080 pts/rav1e-1.4.0 -s 10 -l 90 Speed: 10 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/libraw-1.0.0 Post-Processing Benchmark pts/simdjson-1.1.1 LargeRandom Throughput Test: LargeRandom pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom system/ocrmypdf-1.0.0 Processing 60 Page PDF Document pts/luxcorerender-1.2.3 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/simdjson-1.1.1 PartialTweets Throughput Test: PartialTweets pts/simdjson-1.1.1 DistinctUserID Throughput Test: DistinctUserID pts/tensorflow-lite-1.0.0 --graph=nasnet_mobile.tflite Model: NASNet Mobile pts/tensorflow-lite-1.0.0 --graph=squeezenet.tflite Model: SqueezeNet pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224.tflite Model: Mobilenet Float pts/tensorflow-lite-1.0.0 --graph=mobilenet_v1_1.0_224_quant.tflite Model: Mobilenet Quant pts/john-the-ripper-1.7.2 --format=md5crypt Test: MD5 pts/x264-2.6.1 H.264 Video Encoding pts/simdjson-1.1.1 Kostya Throughput Test: Kostya pts/kvazaar-1.0.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset ultrafast Video Input: Bosphorus 1080p - Video Preset: Ultra Fast pts/build-apache-1.6.1 Time To Compile pts/rnnoise-1.0.2 pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Decompression Speed pts/compress-lz4-1.0.0 -b1 -e1 Compression Level: 1 - Compression Speed pts/encode-ape-1.4.0 WAV To APE system/rsvg-1.0.0 Operation: SVG Files To PNG pts/compress-zstd-1.2.1 -b3 Compression Level: 3 system/cryptsetup-1.0.1 Twofish-XTS 512b Decryption system/cryptsetup-1.0.1 Twofish-XTS 512b Encryption system/cryptsetup-1.0.1 Serpent-XTS 512b Decryption system/cryptsetup-1.0.1 Serpent-XTS 512b Encryption system/cryptsetup-1.0.1 AES-XTS 512b Decryption system/cryptsetup-1.0.1 AES-XTS 512b Encryption system/cryptsetup-1.0.1 Twofish-XTS 256b Decryption system/cryptsetup-1.0.1 Twofish-XTS 256b Encryption system/cryptsetup-1.0.1 Serpent-XTS 256b Decryption system/cryptsetup-1.0.1 Serpent-XTS 256b Encryption system/cryptsetup-1.0.1 AES-XTS 256b Decryption system/cryptsetup-1.0.1 AES-XTS 256b Encryption system/cryptsetup-1.0.1 PBKDF2-whirlpool system/cryptsetup-1.0.1 PBKDF2-sha512 pts/compress-7zip-1.7.1 Compress Speed Test pts/encode-wavpack-1.4.1 WAV To WavPack pts/crafty-1.4.5 Elapsed Time system/darktable-1.0.5 bench.SRW output.jpg --core -d perf --disable-opencl Test: Boat - Acceleration: CPU-only pts/lammps-1.3.0 in.rhodo Model: Rhodopsin Protein pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/x265-1.3.0 Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m Video Input: Bosphorus 1080p pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless system/darktable-1.0.5 masskrug.NEF output.jpg --core -d perf --disable-opencl Test: Masskrug - Acceleration: CPU-only pts/john-the-ripper-1.7.2 --format=bcrypt Test: Blowfish pts/stress-ng-1.3.1 --cpu 0 --cpu-method all Test: CPU Stress pts/stress-ng-1.3.1 --numa 0 Test: NUMA pts/stress-ng-1.3.1 --malloc 0 Test: Malloc pts/stress-ng-1.3.1 --memfd 0 Test: MEMFD pts/stress-ng-1.3.1 --msg 0 Test: System V Message Passing pts/stress-ng-1.3.1 --crypt 0 Test: Crypto pts/stress-ng-1.3.1 --memcpy 0 Test: Memory Copying pts/stress-ng-1.3.1 --sock 0 Test: Socket Activity pts/stress-ng-1.3.1 --qsort 0 Test: Glibc Qsort Data Sorting pts/stress-ng-1.3.1 --str 0 Test: Glibc C String Functions pts/stress-ng-1.3.1 --switch 0 Test: Context Switching pts/stress-ng-1.3.1 --vecmath 0 Test: Vector Math pts/stress-ng-1.3.1 --matrix 0 Test: Matrix Math pts/stress-ng-1.3.1 --sem 0 Test: Semaphores pts/stress-ng-1.3.1 --sendfile 0 Test: SENDFILE pts/stress-ng-1.3.1 --fork 0 Test: Forking pts/stress-ng-1.3.1 --atomic 0 Test: Atomic system/gimp-1.1.2 unsharp-mask Test: unsharp-mask system/darktable-1.0.5 server_room.NEF output.jpg --core -d perf --disable-opencl Test: Server Room - Acceleration: CPU-only pts/encode-flac-1.6.0 WAV To FLAC pts/encode-opus-1.1.1 WAV To Opus Encode pts/coremark-1.0.1 CoreMark Size 666 - Iterations Per Second system/gimp-1.1.2 auto-levels Test: auto-levels system/gimp-1.1.2 rotate Test: rotate pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU system/gimp-1.1.2 resize Test: resize pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/basis-1.0.2 -uastc -uastc_level 0 Settings: UASTC Level 0 pts/encode-mp3-1.7.4 WAV To MP3 pts/redis-1.3.0 -t lpush Test: LPUSH pts/avifenc-1.0.0 -s 8 Encoder Speed: 8 pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --matmul --batch=inputs/matmul/shapes_transformer --cfg=u8s8f32 --engine=cpu Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU pts/avifenc-1.0.0 -s 10 Encoder Speed: 10 pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/redis-1.3.0 -t lpop Test: LPOP pts/redis-1.3.0 -t set Test: SET pts/redis-1.3.0 -t sadd Test: SADD pts/redis-1.3.0 -t get Test: GET pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-1.6.1 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-1.6.1 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/webp-1.0.0 Encode Settings: Default system/darktable-1.0.5 server-rack.dng output.jpg --core -d perf --disable-opencl Test: Server Rack - Acceleration: CPU-only