ss4

Intel Core i9-7980XE testing with a ASRock X299E-ITX/ac (P1.60 BIOS) and llvmpipe on Ubuntu 20.04 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 2107054-IB-SS443734552
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C/C++ Compiler Tests 2 Tests
CPU Massive 6 Tests
Creator Workloads 2 Tests
HPC - High Performance Computing 3 Tests
Memory Test Suite 2 Tests
Multi-Core 4 Tests
OpenMPI Tests 2 Tests
Server CPU Tests 4 Tests
Single-Threaded 2 Tests

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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
sysbench-i9Ph10
July 05 2021
  7 Minutes
graphics-magick-i9Ph10
July 05 2021
  24 Minutes
ipc-benchmark-i9Ph10
July 05 2021
  4 Minutes
amg-i9Ph10
July 05 2021
  2 Minutes
ramspeed-i9Ph10
July 05 2021
  9 Minutes
ramspeed-i9Ph10-2
July 05 2021
  20 Minutes
npb-i9Ph10
July 05 2021
  5 Minutes
onednn-i9Ph10
July 05 2021
  39 Minutes
scimark-i9Ph10
July 05 2021
  2 Minutes
cachebench-19Ph10
July 05 2021
  19 Minutes
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  13 Minutes

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ss4, "Sysbench 1.0.20 - Test: RAM / Memory", Higher Results Are Better "sysbench-i9Ph10",12656.23,12676.9,12538.08 "Sysbench 1.0.20 - Test: CPU", Higher Results Are Better "sysbench-i9Ph10",12522.27,12514.62,12525.22 "GraphicsMagick 1.3.33 - Operation: Swirl", Higher Results Are Better "graphics-magick-i9Ph10", "GraphicsMagick 1.3.33 - Operation: Rotate", Higher Results Are Better "graphics-magick-i9Ph10",777,743,736,775,760 "GraphicsMagick 1.3.33 - Operation: Sharpen", Higher Results Are Better "graphics-magick-i9Ph10",78,77,77 "GraphicsMagick 1.3.33 - Operation: Enhanced", Higher Results Are Better "graphics-magick-i9Ph10", "GraphicsMagick 1.3.33 - Operation: Resizing", Higher Results Are Better "graphics-magick-i9Ph10",580,581,582 "GraphicsMagick 1.3.33 - Operation: Noise-Gaussian", Higher Results Are Better "graphics-magick-i9Ph10", "GraphicsMagick 1.3.33 - Operation: HWB Color Space", Higher Results Are Better "graphics-magick-i9Ph10",712,713,709 "IPC_benchmark - Type: TCP Socket - Message Bytes: 128", Higher Results Are Better "ipc-benchmark-i9Ph10",1618183,1617094,1620884 "IPC_benchmark - Type: TCP Socket - Message Bytes: 1024", Higher Results Are Better "ipc-benchmark-i9Ph10",1245117,1220630,1228537 "IPC_benchmark - Type: Unnamed Pipe - Message Bytes: 128", Higher Results Are Better "ipc-benchmark-i9Ph10",1724964,1850190,1637523,1547907,1898709,1534196,1637015,1671495,1676561,1863363,1796564,1793380,1838453,1754632,1827490 "IPC_benchmark - Type: Unnamed Pipe - Message Bytes: 1024", Higher Results Are Better "ipc-benchmark-i9Ph10",1486417,1552686,1548035 "IPC_benchmark - Type: FIFO Named Pipe - Message Bytes: 128", Higher Results Are Better "ipc-benchmark-i9Ph10",1849017,1762684,1788624 "IPC_benchmark - Type: FIFO Named Pipe - Message Bytes: 1024", Higher Results Are Better "ipc-benchmark-i9Ph10",1535599,1551572,1554146 "IPC_benchmark - Type: Unnamed Unix Domain Socket - Message Bytes: 128", Higher Results Are Better "ipc-benchmark-i9Ph10",1102082,1098594,1102750 "IPC_benchmark - Type: Unnamed Unix Domain Socket - Message Bytes: 1024", Higher Results Are Better "ipc-benchmark-i9Ph10",983249,980993,981798 "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "amg-i9Ph10",421861800,421917700,421211800 "RAMspeed SMP 3.5.0 - Type: Add - Benchmark: Integer", Higher Results Are Better "ramspeed-i9Ph10",29872.01,29900.92,29869.58 "ramspeed-i9Ph10-2",29836.78,29726.13,29810.3 "RAMspeed SMP 3.5.0 - Type: Scale - Benchmark: Integer", Higher Results Are Better "ramspeed-i9Ph10",28940.62,28987.67,28920.24 "ramspeed-i9Ph10-2",28965.22,28956.76,28926.83 "RAMspeed SMP 3.5.0 - Type: Average - Benchmark: Integer", Higher Results Are Better "ramspeed-i9Ph10",29412.51,29402.97,29411.77 "ramspeed-i9Ph10-2",28997.38,28973.6,29024.07 "RAMspeed SMP 3.5.0 - Type: Add - Benchmark: Floating Point", Higher Results Are Better "ramspeed-i9Ph10-2",28905.51,29429.09,29285.6 "RAMspeed SMP 3.5.0 - Type: Scale - Benchmark: Floating Point", Higher Results Are Better "ramspeed-i9Ph10-2",28576.82,28452.41,28448.53 "RAMspeed SMP 3.5.0 - Type: Average - Benchmark: Floating Point", Higher Results Are Better "ramspeed-i9Ph10-2",28935.9,28914.27,28867.15 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.C", Higher Results Are Better "npb-i9Ph10",1487.84,1503.72,1602.22,1525.21,1668.09,1475.55,1480.65,1488.96,1498.82,1486.25,1434.01,1458.69,1507.41,1503.81,1474.82 "NAS Parallel Benchmarks 3.4 - Test / Class: EP.D", Higher Results Are Better "npb-i9Ph10",2072.48,2091.28,2052.37 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",29.8589,29.3837,30.4403 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",60.4494,60.9975,59.095 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",3.19931,3.20196,3.1934 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",30.4318,29.1115,28.2683,28.3932,30.05,29.089,30.2237,30.6145,30.9888,29.8043,28.6108,29.1037,27.9142,30.3301,29.7526 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",15.3223,15.3373,15.3475 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",22.1269,20.91,21.5627,23.1321,22.4194,21.6011,22.9318,21.0941,22.0195,22.6241,23.075,22.4175,22.8003,21.345,21.0487 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",9.38673,9.38234,9.38605 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",10.2695,10.3352,10.2047 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",6.22164,6.23688,6.21412 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",8.69152,8.6917,8.69368 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",3.32931,3.32776,3.32574 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",3.75238,3.79999,3.71616 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",4018.79,4015.95,4015.98 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",2531.15,2525.49,2529.06 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",4018.99,4014.66,4014.56 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",22.1685,22.1807,22.2005 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",31.2269,31.2126,31.2369 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",26.6797,26.7916,26.7571 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",2530.85,2529.02,2531.79 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",2.54746,2.5441,2.53626 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",4018.02,4014.04,4015.46 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",2527.84,2531.33,2528.87 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",1.85751,1.86095,1.85612 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "onednn-i9Ph10",5.44448,5.43404,5.43598 "SciMark 2.0 - Computational Test: Composite", Higher Results Are Better "scimark-i9Ph10",666.71,667.99,667.62 "SciMark 2.0 - Computational Test: Monte Carlo", Higher Results Are Better "scimark-i9Ph10",145.17,145.14,145.11 "SciMark 2.0 - Computational Test: Fast Fourier Transform", Higher Results Are Better "scimark-i9Ph10",304.52,307.24,307.36 "SciMark 2.0 - Computational Test: Sparse Matrix Multiply", Higher Results Are Better "scimark-i9Ph10",759.32,760.56,759.57 "SciMark 2.0 - Computational Test: Dense LU Matrix Factorization", Higher Results Are Better "scimark-i9Ph10",937.58,939.65,939.08 "SciMark 2.0 - Computational Test: Jacobi Successive Over-Relaxation", Higher Results Are Better "scimark-i9Ph10",1186.97,1187.39,1186.99 "CacheBench - Test: Read", Higher Results Are Better "cachebench-19Ph10",3549.493727,3549.822828,3549.775138 "CacheBench - Test: Write", Higher Results Are Better "cachebench-19Ph10",29732.899254,29729.800761,29718.647522 "CacheBench - Test: Read / Modify / Write", Higher Results Are Better "cachebench-19Ph10",48313.01526,48327.990704,48328.726124