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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AMD FX-8370 2021, "Stress-NG 0.11.07 - Test: MMAP", Higher Results Are Better "Vet 1",18.06,10.37,11.2,8.66,8.59,18.3,9.73,9.29,17.49,10.3,8.06,17.43,9.83,7.36,16.76 "Vet 2",11.93,9.13,10.4,8.74,3.17,9.46,11.06,11.76,10.56,11.77,10.36,9.99 "Stress-NG 0.11.07 - Test: NUMA", Higher Results Are Better "Vet 1",84.39,83.64,84.55 "Vet 2",83.3,83.62,85.31 "Stress-NG 0.11.07 - Test: MEMFD", Higher Results Are Better "Vet 1",126.14,129.27,128.55 "Vet 2",127.92,126.34,124.73 "Stress-NG 0.11.07 - Test: Atomic", Higher Results Are Better "Vet 1",54493.1,54585.36,54481.15 "Vet 2",54501.82,54737.55,54895.46 "Stress-NG 0.11.07 - Test: Crypto", Higher Results Are Better "Vet 1",873.95,870.52,874.19 "Vet 2",869.21,869.02,869.16 "Stress-NG 0.11.07 - Test: Malloc", Higher Results Are Better "Vet 1",21880964.91,22142372.63,22440319.1 "Vet 2",21489115.28,21918898.68,22440064.63 "Stress-NG 0.11.07 - Test: Forking", Higher Results Are Better "Vet 1",18526.45,18472.22,18360.08 "Vet 2",18433.3,18818.48,18353.9 "Stress-NG 0.11.07 - Test: SENDFILE", Higher Results Are Better "Vet 1",50931.82,50991.82,50850.62 "Vet 2",50789.37,50855.7,50809.8 "Stress-NG 0.11.07 - Test: CPU Cache", Higher Results Are Better "Vet 1",16,15.93,13.47,13.33,14.47,15.23,15.47,14.47,15.67,13.43,14.4,12.37,16.23,15.13,15.87 "Vet 2",15.73,14.63,14.43,16,14.83,15.1,14.27,15.63,14.67,16.16,15.73,16,16.07,15.37,14.97 "Stress-NG 0.11.07 - Test: CPU Stress", Higher Results Are Better "Vet 1",1811.39,1829.42,1830.43 "Vet 2",1828.74,1862.17,1805.04 "Stress-NG 0.11.07 - Test: Semaphores", Higher Results Are Better "Vet 1",505606.22,505600.96,505623.39 "Vet 2",506036.8,505967.4,505551.61 "Stress-NG 0.11.07 - Test: Matrix Math", Higher Results Are Better "Vet 1",15064.65,15076.36,15079.01 "Vet 2",15089.4,15081.94,15087.54 "Stress-NG 0.11.07 - Test: Vector Math", Higher Results Are Better "Vet 1",23916.55,23888.22,23889.55 "Vet 2",23910.3,23909.1,23928.07 "Stress-NG 0.11.07 - Test: Memory Copying", Higher Results Are Better "Vet 1",1005.94,1003.85,996.4 "Vet 2",999.91,1003.9,1007.37 "Stress-NG 0.11.07 - Test: Socket Activity", Higher Results Are Better "Vet 1",1786.48,1779.61,1762.4 "Vet 2",1786.75,1792.91,1770.07 "Stress-NG 0.11.07 - Test: Context Switching", Higher Results Are Better "Vet 1",947811.21,950087.59,976667.21 "Vet 2",928507.71,917756.41,907460.11 "Stress-NG 0.11.07 - Test: Glibc C String Functions", Higher Results Are Better "Vet 1",267630.59,266946.35,267161.65 "Vet 2",267111.8,265725.34,266965.7 "Stress-NG 0.11.07 - Test: Glibc Qsort Data Sorting", Higher Results Are Better "Vet 1",55.67,55.27,54.33 "Vet 2",55.37,55.73,55.5 "Stress-NG 0.11.07 - Test: System V Message Passing", Higher Results Are Better "Vet 1",2202423.38,2212636.69,2221401.3 "Vet 2",2197517.28,2202613.12,2218013.55 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Medium", Higher Results Are Better "Vet 1",0.45,0.45,0.45 "Vet 2",0.45,0.45,0.45 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Medium", Higher Results Are Better "Vet 1",2.09,2.09,2.09 "Vet 2",2.09,2.1,2.09 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Very Fast", Higher Results Are Better "Vet 1",1.35,1.35,1.35 "Vet 2",1.35,1.35,1.35 "Kvazaar 2.0 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast", Higher Results Are Better "Vet 1",2.99,2.99,2.84,2.98 "Vet 2",2.98,2.98,2.99 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Very Fast", Higher Results Are Better "Vet 1",5.55,5.56,5.55 "Vet 2",5.55,5.55,5.56 "Kvazaar 2.0 - Video Input: Bosphorus 1080p - Video Preset: Ultra Fast", Higher Results Are Better "Vet 1",11.87,11.84,11.81 "Vet 2",11.84,11.85,11.86 "rav1e 0.4 Alpha - Speed: 1", Higher Results Are Better "Vet 1",0.115,0.115,0.115 "Vet 2",0.115,0.115,0.115 "rav1e 0.4 Alpha - Speed: 5", Higher Results Are Better "Vet 1",0.321,0.322,0.322 "Vet 2",0.322,0.32,0.322 "rav1e 0.4 Alpha - Speed: 6", Higher Results Are Better "Vet 1",0.416,0.416,0.416 "Vet 2",0.416,0.414,0.414 "rav1e 0.4 Alpha - Speed: 10", Higher Results Are Better "Vet 1",1.164,1.169,1.176 "Vet 2",1.168,1.174,1.171 "x264 2019-12-17 - H.264 Video Encoding", Higher Results Are Better "Vet 1",28.67,28.99,30.53,30.61,30.5,30.64,30.62,30.66,30.7,30.63,30.67 "Vet 2",28.67,30.73,30.61,30.53,30.5,30.11,30.34 "x265 3.4 - Video Input: Bosphorus 4K", Higher Results Are Better "Vet 1",4.53,4.55,4.58 "Vet 2",4.55,4.55,4.56 "x265 3.4 - Video Input: Bosphorus 1080p", Higher Results Are Better "Vet 1",19.44,19.55,19.57 "Vet 2",19.36,19.17,19.44 "Warsow 2.5 Beta - Resolution: 1920 x 1080", Higher Results Are Better "Vet 1",139.9,145.5,145.8 "Vet 2",145.7,145,145.7 "simdjson 0.7.1 - Throughput Test: Kostya", Higher Results Are Better "Vet 1",0.29,0.29,0.3 "Vet 2",0.3,0.3,0.3 "simdjson 0.7.1 - Throughput Test: LargeRandom", Higher Results Are Better "Vet 1",0.24,0.24,0.24 "Vet 2",0.24,0.24,0.24 "simdjson 0.7.1 - Throughput Test: PartialTweets", Higher Results Are Better "Vet 1",0.37,0.37,0.37 "Vet 2",0.37,0.37,0.37 "simdjson 0.7.1 - Throughput Test: DistinctUserID", Higher Results Are Better "Vet 1",0.38,0.38,0.38 "Vet 2",0.38,0.38,0.38 "Intel Open Image Denoise 1.2.0 - Scene: Memorial", Higher Results Are Better "Vet 1",0.86949716978671,0.86890031975532,0.86917975506514 "Vet 2",0.87057205289596,0.86690419841703,0.87136857147836 "OpenVKL 0.9 - Benchmark: vklBenchmark", Higher Results Are Better "Vet 1",32.272727272727,32.454545454545,32.090909090909 "Vet 2",32.636363636364,32.818181818182,32.545454545455 "Cryptsetup - PBKDF2-sha512", Higher Results Are Better "Vet 1",1275639,1278751,1266396 "Vet 2",1255779,1272543,1288176 "Cryptsetup - PBKDF2-whirlpool", Higher Results Are Better "Vet 1",395987,397187,393019 "Vet 2",397790,391844,393609 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "Vet 1",122969.718707,121562.072633,123437.741089 "Vet 2",122448.979592,121895.474631,122724.483534 "IndigoBench 4.4 - Acceleration: CPU - Scene: Bedroom", Higher Results Are Better "Vet 1",0.486,0.491,0.492 "Vet 2",0.479,0.489,0.488 "IndigoBench 4.4 - Acceleration: CPU - Scene: Supercar", Higher Results Are Better "Vet 1",1.204,1.213,1.213 "Vet 2",1.194,1.217,1.211 "LuxCoreRender 2.3 - Scene: DLSC", Higher Results Are Better "Vet 1",0.49833333333333,0.47879310344828,0.51610169491525,0.51983050847458,0.51966101694915,0.45983333333333,0.51116666666667,0.49762711864407,0.48866666666667,0.44916666666667,0.449,0.51,0.5175,0.51457627118644,0.46881355932203 "Vet 2",0.51983050847458,0.5198275862069,0.51983050847458 "LuxCoreRender 2.3 - Scene: Rainbow Colors and Prism", Higher Results Are Better "Vet 1",0.50637931034483,0.52070175438596,0.52491228070175 "Vet 2",0.51775862068966,0.50034482758621,0.52491228070175 "LZ4 Compression 1.9.3 - Compression Level: 1 - Compression Speed", Higher Results Are Better "Vet 1",3381.87,3396.27,3383.73 "Vet 2",3351.85,3363.77,3371.35 "LZ4 Compression 1.9.3 - Compression Level: 1 - Decompression Speed", Higher Results Are Better "Vet 1",3689,3696.5,3705.8 "Vet 2",3641.8,3656.6,3673.3 "LZ4 Compression 1.9.3 - Compression Level: 3 - Compression Speed", Higher Results Are Better "Vet 1",30.92,30.98,30.97 "Vet 2",30.82,31.06,30.94 "LZ4 Compression 1.9.3 - Compression Level: 3 - Decompression Speed", Higher Results Are Better "Vet 1",3646.6,3655.9,3665.5 "Vet 2",3615.1,3624,3636.9 "LZ4 Compression 1.9.3 - Compression Level: 9 - Compression Speed", Higher Results Are Better "Vet 1",29.78,29.92,29.73 "Vet 2",29.87,29.79,29.93 "LZ4 Compression 1.9.3 - Compression Level: 9 - Decompression Speed", Higher Results Are Better "Vet 1",3651.9,3654.3,3655.6 "Vet 2",3625.7,3621.9,3620.6 "Zstd Compression 1.4.5 - Compression Level: 3", Higher Results Are Better "Vet 1",1745.4,1747.6,1743.4 "Vet 2",1746.6,1744.4,1745.9 "Zstd Compression 1.4.5 - Compression Level: 19", Higher Results Are Better "Vet 1",16.5,17.2,17.8,17.7,17.2,16.5,16.5,16.1,16.5,16.7,17.1,17.5 "Vet 2",16.4,16.9,17.1 "Cryptsetup - AES-XTS 256b Encryption", Higher Results Are Better "Vet 1",1061,1085.9,1098.2 "Vet 2",1092.7,1096.7,1083.9 "Cryptsetup - AES-XTS 256b Decryption", Higher Results Are Better "Vet 1",1082.6,1100.9,1097.4 "Vet 2",1090.7,1096,1082.3 "Cryptsetup - Serpent-XTS 256b Encryption", Higher Results Are Better "Vet 1",309.5,313.5,312.9 "Vet 2",308.1,317.2,307.3 "Cryptsetup - Serpent-XTS 256b Decryption", Higher Results Are Better "Vet 1",319.2,320.8,320.6 "Vet 2",318.2,323.5,315.2 "Cryptsetup - Twofish-XTS 256b Encryption", Higher Results Are Better "Vet 1",237.9,247.2,247.1 "Vet 2",245.9,245.5,240.3 "Cryptsetup - Twofish-XTS 256b Decryption", Higher Results Are Better "Vet 1",234,247.5,246.7 "Vet 2",245.2,242.5,248.8 "Cryptsetup - AES-XTS 512b Encryption", Higher Results Are Better "Vet 1",946.5,938.9,946.1 "Vet 2",950.5,948.9,933.9 "Cryptsetup - AES-XTS 512b Decryption", Higher Results Are Better "Vet 1",944.5,954.3,935.6 "Vet 2",950,950.2,950 "Cryptsetup - Serpent-XTS 512b Encryption", Higher Results Are Better "Vet 1",315.3,315.3,315.1 "Vet 2",316.3,312,316.5 "Cryptsetup - Serpent-XTS 512b Decryption", Higher Results Are Better "Vet 1",309.7,323.1 "Vet 2",322.3,316,313.3 "Cryptsetup - Twofish-XTS 512b Encryption", Higher Results Are Better "Vet 1",247.7,245.3,248.5 "Vet 2",247.1,245.8,242.9 "Cryptsetup - Twofish-XTS 512b Decryption", Higher Results Are Better "Vet 1",249.2,245.2,249.2 "Vet 2",248.9,246.3,244.1 "7-Zip Compression 16.02 - Compress Speed Test", Higher Results Are Better "Vet 1",21208,21226,21258 "Vet 2",21142,21184,21259 "LibRaw 0.20 - Post-Processing Benchmark", Higher Results Are Better "Vet 1",18.02,18.01,17.95 "Vet 2",18.01,18.02,17.94 "rays1bench 2020-01-09 - Large Scene", Higher Results Are Better "Vet 1",9.06,9.05,9.06 "Vet 2",9.05,9.03,9.06 "LeelaChessZero 0.26 - Backend: BLAS", Higher Results Are Better "Vet 1",159,160,161 "Vet 2",159,157,157 "LeelaChessZero 0.26 - Backend: Eigen", Higher Results Are Better "Vet 1", "Vet 2",136,139,140 "Crafty 25.2 - Elapsed Time", Higher Results Are Better "Vet 1",5195519,5194267,5196026 "Vet 2",5221781,5184967,5189340 "Stockfish 12 - Total Time", Higher Results Are Better "Vet 1",6834715,6933125,7146613 "Vet 2",6817797,6383562,7156152,6885591,6821901,6819942,6895210,6835165,6883973,6637352,6564338,6994817,6893921 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "Vet 1",10546170,10611529,10614386 "Vet 2",10755001,10282427,10543597 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "Vet 1",0.074,0.074,0.074 "Vet 2",0.074,0.074,0.075 "LAMMPS Molecular Dynamics Simulator 29Oct2020 - Model: Rhodopsin Protein", Higher Results Are Better "Vet 1",1.425,1.513,1.47,1.555,1.573,1.533,1.549,1.482,1.562,1.525,1.508,1.541,1.368,1.564,1.536 "Vet 2",1.504,1.502,1.524 "John The Ripper 1.9.0-jumbo-1 - Test: Blowfish", Higher Results Are Better "Vet 1",6410,6417,6405 "Vet 2",6408,6412,6408 "John The Ripper 1.9.0-jumbo-1 - Test: MD5", Higher Results Are Better "Vet 1",256153,256366,256145 "Vet 2",256674,256247,256221 "Redis 6.0.9 - Test: LPOP", Higher Results Are Better "Vet 1",1499442.25,1466369.5,1483727 "Vet 2",832106.5,813190.25,826107.38 "Redis 6.0.9 - Test: SADD", Higher Results Are Better "Vet 1",1233321.88,1204819.25,1197988 "Vet 2",1224146.88,1204819.25,1187838.5 "Redis 6.0.9 - Test: LPUSH", Higher Results Are Better "Vet 1",802568.19,794687.88,822060.81 "Vet 2",772522.06,819210.5,797856.5,795141.5 "Redis 6.0.9 - Test: GET", Higher Results Are Better "Vet 1",1406514.75,1430661,1424729.25 "Vet 2",1269035.5,1283697.12,1322836 "Redis 6.0.9 - Test: SET", Higher Results Are Better "Vet 1",1063829.75,1087060.88,1081115.62 "Vet 2",1091738,1128921,1097835.38 "Node.js V8 Web Tooling Benchmark - ", Higher Results Are Better "Vet 1",5.28,5.31,5.34 "Vet 2",5.27,5.04,5.13 "GLmark2 2020.04 - Resolution: 1920 x 1080", Higher Results Are Better "Vet 1", "Vet 2", "Numpy Benchmark - ", Higher Results Are Better "Vet 1",150.19,150.16,150.34 "Vet 2",150.38,149.73,150.87 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "Vet 1",421604,418723,372118,416443,420124,421576,419450,425210,422243,417425,417073,418164 "Vet 2",418182,420733,423228 "CLOMP 1.2 - Static OMP Speedup", Higher Results Are Better "Vet 1",2.8,2.9,2.8 "Vet 2",3.1,2.9,3,3.1,2.9,3.1,2.9,2.9,2.8,2.9,2.9,3.1 "InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "Vet 1",601424.6,595124.6,586130 "Vet 2",649880.6,599251.7,588696.3,565965.6,569137.9,593042.8,581029.7,543824.5,582159.3,521129.2,574558.9,586766.4 "InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "Vet 1",732240,740913.4,699306.9,709013.7,725267.1 "Vet 2",719173.8,726298.8,684286.5,706005.5,703668 "WebP Image Encode 1.1 - Encode Settings: Default", Lower Results Are Better "Vet 1",2.443,2.453,2.436 "Vet 2",2.421,2.443,2.436 "WebP Image Encode 1.1 - Encode Settings: Quality 100", Lower Results Are Better "Vet 1",3.593,3.568,3.558 "Vet 2",3.568,3.54,3.553 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless", Lower Results Are Better "Vet 1",30.664,30.576,30.705 "Vet 2",30.245,29.66,30.174 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression", Lower Results Are Better "Vet 1",11.393,11.329,11.501 "Vet 2",11.456,11.404,11.327 "WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression", Lower Results Are Better "Vet 1",66.694,66.808,66.165 "Vet 2",66.822,66.849,66.656 "TensorFlow Lite 2020-08-23 - Model: SqueezeNet", Lower Results Are Better "Vet 1",512174,512361,512440 "Vet 2",511901,513392,513206 "TensorFlow Lite 2020-08-23 - Model: Inception V4", Lower Results Are Better "Vet 1",7341160,7335760,7354050 "Vet 2",7345090,7350250,7350830 "TensorFlow Lite 2020-08-23 - Model: NASNet Mobile", Lower Results Are Better "Vet 1",383259,383104,384150 "Vet 2",383815,383626,383662 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Float", Lower Results Are Better "Vet 1",351103,350998,351412 "Vet 2",351861,351358,351052 "TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant", Lower Results Are Better "Vet 1",356567,357340,357525 "Vet 2",357413,357269,357255 "TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2", Lower Results Are Better "Vet 1",6618510,6617850,6619240 "Vet 2",6619550,6623320,6616830 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "Vet 1",71414,70725,70923 "Vet 2",70753,70704,70945 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "Vet 1",177911,177504,177851 "Vet 2",178049,178029,178333 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",32.6883,32.4988,32.6739 "Vet 2",32.9799,33.036,32.7727 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",23.8045,24.1728,24.2358 "Vet 2",24.6006,24.5938,24.8314 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",10.2176,10.2223,10.2337 "Vet 2",10.1885,10.1942,10.211 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",5.72656,5.75274,5.7473 "Vet 2",5.94046,5.89629,5.94955 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",48.2909,48.0868,48.0774 "Vet 2",49.7562,49.7012,49.8883 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",71.4413,71.0321,71.1365 "Vet 2",71.3121,71.0418,71.0408 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",113.922,113.716,113.941 "Vet 2",113.7,114.513,114.276 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",39.0091,39.0399,38.692 "Vet 2",37.944,38.365,38.3732 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",21.7336,21.6458,21.506 "Vet 2",21.6031,21.5057,21.4959 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",22.2554,22.1928,22.1781 "Vet 2",22.1217,22.1389,22.3403 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",44751.8,44750.6,44717.1 "Vet 2",44775.6,44795.5,44793 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",22739.5,22755.6,22780.7 "Vet 2",22776.4,22772.7,22776.9 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",44740.2,44741.7,44753 "Vet 2",44765.3,44815.6,44772.6 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",22783.5,22758.7,22764.7 "Vet 2",22812.2,22761.1,22795.7 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "Vet 1",13.5931,13.5811,13.5822 "Vet 2",13.6057,13.5781,13.616 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Vet 1",44747,44701.8,44737.9 "Vet 2",44780.2,44783.1,44789.3 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Vet 1",22783.9,22781.5,22750 "Vet 2",22789.2,22789.5,22784.9 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Vet 1",11.674,11.8352,11.7376 "Vet 2",11.7815,11.7829,11.7068 "Mobile Neural Network 2020-09-17 - Model: SqueezeNetV1.0", Lower Results Are Better "Vet 1",163.013,160.342,156.088 "Vet 2",159.137,156.483,157.922 "Mobile Neural Network 2020-09-17 - Model: resnet-v2-50", Lower Results Are Better "Vet 1",1127.559,1133.126,1134.365 "Vet 2",1122.81,1130.819,1131.288 "Mobile Neural Network 2020-09-17 - Model: MobileNetV2_224", Lower Results Are Better "Vet 1",85.118,84.325,85.323 "Vet 2",84.523,87.223,84.902 "Mobile Neural Network 2020-09-17 - Model: mobilenet-v1-1.0", Lower Results Are Better "Vet 1",168.61,169.906,168.494 "Vet 2",168.921,168.007,169.74 "Mobile Neural Network 2020-09-17 - Model: inception-v3", Lower Results Are Better "Vet 1",1328.64,1328.929,1377.11 "Vet 2",1329.504,1324.404,1321.677 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "Vet 1",98.76,98.16,97.96 "Vet 2",97.38,98.08,97.88 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "Vet 1",24.86,25.17,25.11 "Vet 2",24.87,24.91,24.63 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "Vet 1",22.92,23.12,22.96 "Vet 2",23.08,23.04,23.19 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "Vet 1",18.97,18.61,18.82 "Vet 2",18.18,18.64,18.18 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "Vet 1",24.68,24.76,24.62 "Vet 2",24.74,24.84,24.56 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "Vet 1",39.91,39.63,40.11 "Vet 2",39.74,40.33,39.73 "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "Vet 1",4.51,4.6,4.53 "Vet 2",4.53,4.35,4.41 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "Vet 1",99.76,99.56,99.91 "Vet 2",99.38,99.81,99.88 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "Vet 1",766.78,767.56,767.81 "Vet 2",767.17,767.73,766.64 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "Vet 1",90.91,91.43,91.35 "Vet 2",91.29,91.22,91.31 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "Vet 1",49.62,49.66,49.89 "Vet 2",50.05,50.12,49.81 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "Vet 1",211.82,211.99,211.48 "Vet 2",211.18,212.18,211.59 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "Vet 1",202.28,201.74,201.09 "Vet 2",202.67,201.74,202.23 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "Vet 1",103.39,103.92,104.05 "Vet 2",103.77,104.23,103.53 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "Vet 1",40.3,39.68,40.75 "Vet 2",40.01,39.77,40.19 "TNN 0.2.3 - Target: CPU - Model: MobileNet v2", Lower Results Are Better "Vet 1",528.653,526.928,529.46 "Vet 2",528.655,528.72,528.274 "TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1", Lower Results Are Better "Vet 1",513.808,513.322,514.339 "Vet 2",513.228,513.178,514.377 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "Vet 1",191.727,191.901,191.532 "Vet 2",192.013,192.187,190.799 "libavif avifenc 0.7.3 - Encoder Speed: 0", Lower Results Are Better "Vet 1",274.562,276.836,275.154 "Vet 2",276.083,274.338,275.195 "libavif avifenc 0.7.3 - Encoder Speed: 2", Lower Results Are Better "Vet 1",169.349,166.328,170.446 "Vet 2",166.124,165.05,168.932 "libavif avifenc 0.7.3 - Encoder Speed: 8", Lower Results Are Better "Vet 1",12.685,13.073,12.819 "Vet 2",13.017,12.693,12.728 "libavif avifenc 0.7.3 - Encoder Speed: 10", Lower Results Are Better "Vet 1",11.969,11.968,11.765 "Vet 2",11.93,11.869,11.786 "Timed Apache Compilation 2.4.41 - Time To Compile", Lower Results Are Better "Vet 1",48.04,47.738,49.343 "Vet 2",48.168,48.755,48.039 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "Vet 1",156.686,154.74,157.6 "Vet 2",155.049,180.559,155.452,155.585,157.151,156,155.046,156.785,155.817,156.064,153.948,155.786 "Timed GDB GNU Debugger Compilation 9.1 - Time To Compile", Lower Results Are Better "Vet 1",231.566,231.3,230.921 "Vet 2",231.1,230.671,231.142 "Timed Linux Kernel Compilation 5.4 - Time To Compile", Lower Results Are Better "Vet 1",253.742,252.951,250.78 "Vet 2",253.605,249.669,252.604 "Timed MPlayer Compilation 1.4 - Time To Compile", Lower Results Are Better "Vet 1",113.177,112.795,113.146 "Vet 2",113.059,112.872,112.918 "Build2 0.13 - Time To Compile", Lower Results Are Better "Vet 1",391.037,388.579,397.83 "Vet 2",388.531,392.844,395.452 "YafaRay 3.4.1 - Total Time For Sample Scene", Lower Results Are Better "Vet 1",440.079,440.711,437.609 "Vet 2",440.982,437.175,435.818 "Timed Eigen Compilation 3.3.9 - Time To Compile", Lower Results Are Better "Vet 1",134.961,134.627,134.376 "Vet 2",139.861,134.474,134.419 "DeepSpeech 0.6 - Acceleration: CPU", Lower Results Are Better "Vet 1",289.37637,286.20142,285.45955 "Vet 2",288.37109,284.90332,285.11788 "Monkey Audio Encoding 3.99.6 - WAV To APE", Lower Results Are Better "Vet 1",26.718,26.338,26.283,26.294,26.35 "Vet 2",26.625,26.291,26.392,26.296,26.324 "FLAC Audio Encoding 1.3.2 - WAV To FLAC", Lower Results Are Better "Vet 1",16.928,16.817,16.989,16.862,17.045 "Vet 2",17.03,16.863,16.907,17.044,16.691 "LAME MP3 Encoding 3.100 - WAV To MP3", Lower Results Are Better "Vet 1",13.609,13.596,13.695 "Vet 2",13.572,13.618,13.673 "Opus Codec Encoding 1.3.1 - WAV To Opus Encode", Lower Results Are Better "Vet 1",15.818,15.701,15.68,15.653,15.688 "Vet 2",15.835,15.691,15.672,15.794,15.687 "eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis", Lower Results Are Better "Vet 1",55.682,57.346,58.022,58.897 "Vet 2",59.4,57.737,61.302,57.162,57.059,63.437,57.458,65.959,59.066,58.906,69.229,57.889,62.873,59.17,56.174,62.52 "RNNoise 2020-06-28 - ", Lower Results Are Better "Vet 1",49.021,47.452,46.831 "Vet 2",47.289,46.622,48.711 "Basis Universal 1.12 - Settings: ETC1S", Lower Results Are Better "Vet 1",104.225,103.896,104.428 "Vet 2",104.337,104.99,103.655 "Basis Universal 1.12 - Settings: UASTC Level 0", Lower Results Are Better "Vet 1",14.913,14.949,14.851 "Vet 2",14.877,14.936,14.846 "Basis Universal 1.12 - Settings: UASTC Level 2", Lower Results Are Better "Vet 1",88.427,87.984,88.125 "Vet 2",88.089,87.976,87.976 "Basis Universal 1.12 - Settings: UASTC Level 3", Lower Results Are Better "Vet 1",169.741,169.578,180.083,190.294,191.417,169.667,169.452,173.871,192.293 "Vet 2",169.358,169.505,169.687 "Basis Universal 1.12 - Settings: UASTC Level 2 + RDO Post-Processing", Lower Results Are Better "Vet 1",1199.531,1111.714,1112.831,1111.073,1111.155,1111.781,1106.829,1114.13,1110.464 "Vet 2",1133.12,1112.073,1111.584 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "Vet 1",122.694,122.12,121.56 "Vet 2",123.084,121.734,122.087 "Darktable 3.2.1 - Test: Boat - Acceleration: CPU-only", Lower Results Are Better "Vet 1",35.42,35.322,35.369 "Vet 2",36.347,36.339,36.232 "Darktable 3.2.1 - Test: Masskrug - Acceleration: CPU-only", Lower Results Are Better "Vet 1",28.624,28.641,28.656 "Vet 2",28.773,28.741,28.738 "Darktable 3.2.1 - Test: Server Rack - Acceleration: CPU-only", Lower Results Are Better "Vet 1",0.49,0.491,0.493 "Vet 2",0.505,0.502,0.501 "Darktable 3.2.1 - Test: Server Room - Acceleration: CPU-only", Lower Results Are Better "Vet 1",26.734,26.669,26.784 "Vet 2",26.749,26.766,26.686 "GIMP 2.10.18 - Test: resize", Lower Results Are Better "Vet 1",19.266,18.746,18.867 "Vet 2",19.33,18.849,18.803 "GIMP 2.10.18 - Test: rotate", Lower Results Are Better "Vet 1",24.221,24.33,24.162 "Vet 2",24.169,24.203,24.039 "GIMP 2.10.18 - Test: auto-levels", Lower Results Are Better "Vet 1",25.558,25.45,25.399 "Vet 2",25.306,25.325,25.388 "GIMP 2.10.18 - Test: unsharp-mask", Lower Results Are Better "Vet 1",28.919,28.966,29.076 "Vet 2",28.889,28.964,29.653 "Hugin - Panorama Photo Assistant + Stitching Time", Lower Results Are Better "Vet 1",105.901,104.995,106.531 "Vet 2",104.299,107.921,104.723 "OCRMyPDF 10.3.1+dfsg - Processing 60 Page PDF Document", Lower Results Are Better "Vet 1",62.477,62.077,62.55 "Vet 2",63.099,62.246,61.965 "RawTherapee - Total Benchmark Time", Lower Results Are Better "Vet 1",138.976,139.435,138.492 "Vet 2",138.832,139.269,138.915 "librsvg - Operation: SVG Files To PNG", Lower Results Are Better "Vet 1",43.515,43.166,43.291 "Vet 2",43.621,43.183,43.323 "WavPack Audio Encoding 5.3 - WAV To WavPack", Lower Results Are Better "Vet 1",23.135,22.885,22.918,23.046,22.885 "Vet 2",23.296,22.867,22.912,22.865,22.887 "Unpacking Firefox 84.0 - Extracting: firefox-84.0.source.tar.xz", Lower Results Are Better "Vet 1",37.49,33.932,29.751,37.965,28.943,29.383,29.685,32.729,32.768,39.644,29.174,29.042,39.157,29.289,29.659,29.614,45.776,30.01,36.033,29.794 "Vet 2",41.759,47.81,39.03,44.977,41.078,30.047,46.678,28.613,28.75,29.456,30.361,36.584,30.034,54.697,40.798,39.152