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