3800XT Sat

AMD Ryzen 7 3800XT 8-Core testing with a MSI X370 XPOWER GAMING TITANIUM (MS-7A31) v1.0 (1.MS BIOS) and Sapphire AMD Radeon HD 4650 on Debian 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 2012128-HA-3800XTSAT00
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Bioinformatics 2 Tests
C/C++ Compiler Tests 5 Tests
CPU Massive 6 Tests
Creator Workloads 3 Tests
HPC - High Performance Computing 3 Tests
Multi-Core 4 Tests
Programmer / Developer System Benchmarks 2 Tests
Scientific Computing 2 Tests

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1
December 12 2020
  2 Hours, 1 Minute
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December 12 2020
  1 Hour, 34 Minutes
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December 12 2020
  1 Hour, 9 Minutes
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3800XT Sat, "Compile Bench 0.6 - Test: Compile", Higher Results Are Better "1",742.89,831.21,860.57,848.24,867.27,857.13,858.52,872.05,863 "2",860.88,851.04,849.31 "3",865.14,855.37,860.3 "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "1", "2", "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",98.04,98.82,98.128 "2",98.332,98.292,98.616 "3",98.763,98.597,98.329 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "1",55.418,54.619,54.691 "2",60.067,55.635,55.43,55.858,55.861,55.916,55.528 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",3824.75,3753.48,3731.88 "2",3783.76,3782.54,3738.41 "3",3724.99,3765.07,3766.39 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3796.03,3750.99,3766.04 "2",3776.94,3738.85,3778.7 "3",3722.65,3765.56,3754.12 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",3756.56,3726.03,3827.09 "2",3722.03,3737.05,3759.82 "3",3767.34,3787.16,3705.86 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",2541.25,2531.69,2530.5 "2",2584.84,2587.45,2537.53 "3",2542.11,2549.31,2607.1 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",2536.43,2529.14,2639.56 "2",2568.97,2600.94,2567.43 "3",2563.16,2530.59,2530.94 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2590.48,2590.75,2546.87 "2",2545.44,2555.68,2535.52 "3",2567.26,2579.73,2568.3 "GraphicsMagick 1.3.33 - Operation: Sharpen", Higher Results Are Better "1", "2", "3", "GraphicsMagick 1.3.33 - Operation: Enhanced", Higher Results Are Better "1",214,213,213 "2",214,213,213 "3", "GraphicsMagick 1.3.33 - Operation: Noise-Gaussian", Higher Results Are Better "1", "2", "3", "GraphicsMagick 1.3.33 - Operation: Rotate", Higher Results Are Better "1",843,851,853 "2",842,848,847 "3",849,851,853 "GraphicsMagick 1.3.33 - Operation: Resizing", Higher Results Are Better "1",1166,1164,1159 "2",1166,1166,1164 "3", "GraphicsMagick 1.3.33 - Operation: Swirl", Higher Results Are Better "1",577,575,574 "2",575,574,569 "3",578,572,568 "GraphicsMagick 1.3.33 - Operation: HWB Color Space", Higher Results Are Better "1",1365,1366,1366 "2",1364,1367,1368 "3",1367,1367,1365 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "1",47.293,46.966,49.347 "2",47.288,47.247,47.187 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "1",379146.919431,394363.882841,375586.85446 "2",381179.273377,383585.727414,385852.090032 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6.03085,6.08843,6.3573 "2",6.04935,6.21625,6.11038 "3",6.06364,6.13219,6.16929 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.89856,4.90352,4.92643 "2",5.00231,4.90175,4.91002 "3",4.89832,4.92704,4.93357 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.48537,4.49426,4.48931 "2",4.48763,4.49616,4.49571 "3",4.49236,4.52838,4.49414 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.50909,2.56792,2.51162 "2",2.54885,2.51548,2.5113 "3",2.582,2.50827,2.51629 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.87393,4.87146,4.86094 "2",4.87985,4.87764,4.88439 "3",4.86361,4.87944,4.86218 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.77542,2.83529,2.77572 "2",2.81927,2.77319,2.77134 "3",2.77183,2.77485,2.78048 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",11.657,11.633,11.596 "2",11.534,11.494,11.59 "3",11.464,11.599,11.544 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.21778,2.21621,2.21337 "2",2.21109,2.21088,2.21283 "3",2.21151,2.21369,2.21094 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8.51871,8.555,8.53776 "2",8.5641,8.52182,8.50606 "3",8.81392,8.53319,8.5277 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",20.0749,19.9125,20.0903 "2",20.0465,20.0141,19.9729 "3",20.0439,20.1328,19.937 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",22.3011,22.2663,22.2434 "2",22.2676,22.2386,22.2555 "3",22.239,22.2566,22.295 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",5.08553,5.10778,5.02761 "2",5.05458,5.04804,5.26038 "3",5.02305,5.0256,5.02733 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",6.45434,6.46935,6.46873 "2",6.47596,6.48169,6.47204 "3",6.48626,6.45691,6.47282 "Compile Bench 0.6 - Test: Read Compiled Tree", Higher Results Are Better "1",4169.74,4175.4,4169.74 "2",4104.58,4104.58,4055.72 "3",4110.25,4175.4,4110.25 "Compile Bench 0.6 - Test: Initial Create", Higher Results Are Better "1",732.79,645.72,629.96 "2",746.24,648.8,713.16 "3",742.02,754.12,718.03