3300X oneDNN SVT Stuff

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB 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 2103158-HA-3300XONED31
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CPU Massive 4 Tests
Creator Workloads 3 Tests
Encoding 2 Tests
Multi-Core 4 Tests
Server CPU Tests 4 Tests
Video Encoding 2 Tests

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March 15 2021
  51 Minutes
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March 15 2021
  47 Minutes
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March 15 2021
  47 Minutes
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3300X oneDNN SVT Stuff, "SVT-HEVC 1.5.0 - Tuning: 1 - Input: Bosphorus 1080p", Higher Results Are Better "1",4.05,4.03,4.02 "2",4.06,4.03,4.02 "3",4.07,4.03,4.02 "SVT-HEVC 1.5.0 - Tuning: 7 - Input: Bosphorus 1080p", Higher Results Are Better "1",62,62,62.07 "2",61.96,61.84,61.94 "3",62.06,61.97,61.74 "SVT-HEVC 1.5.0 - Tuning: 10 - Input: Bosphorus 1080p", Higher Results Are Better "1",133.13,133.48,132.95 "2",133.87,132.89,132.36 "3",133.33,133.04,133.24 "SVT-VP9 0.3 - Tuning: VMAF Optimized - Input: Bosphorus 1080p", Higher Results Are Better "1",105.86,108.48,109.66 "2",109.23,109.22,110.4 "3",108.89,109.53,108.87 "SVT-VP9 0.3 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p", Higher Results Are Better "1",110.91,110.75,110.34 "2",110.27,110.6,110.83 "3",111.18,111.36,111.22 "SVT-VP9 0.3 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p", Higher Results Are Better "1",87.99,87.65,87.64 "2",88.41,87.84,87.85 "3",87.51,87.83,87.66 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",6.76193,6.78372,6.79588 "2",6.75355,6.75588,6.74346 "3",6.85193,6.7662,6.73987 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",10.4805,10.3461,10.3784 "2",10.5322,10.435,10.4446 "3",10.3294,10.2038,10.1992 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",4.88891,4.88865,4.97503 "2",4.88058,4.88631,4.95856 "3",4.86588,4.89176,4.88581 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",2.73056,2.77777,2.70684 "2",2.69562,2.75027,2.70538 "3",2.66665,2.73182,2.66659 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",21.7895,21.6997,21.7067 "2",21.8744,21.9471,21.8134 "3",21.7935,21.7015,21.7422 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",13.014,12.9729,9.66111,12.9263,12.9331,9.19521,12.8478,9.74981,9.08485,9.13678,9.11502,13.0178,9.25932,12.9886,9.74545 "2",13.0525,12.9539,13.0222 "3",13.0131,13.1754,13.0872 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",11.2597,11.466,11.2687 "2",11.2789,11.4908,11.2717 "3",11.1969,11.281,11.4089 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",22.6448,22.7394,22.5851 "2",22.3397,22.6266,22.6373 "3",22.6542,22.6076,22.5833 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6.7712,6.82165,6.79889 "2",6.75567,6.8262,6.78362 "3",6.74463,6.78825,6.78038 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",9.08065,9.16806,9.22513 "2",9.13144,9.15789,9.22937 "3",9.25999,9.09671,9.11189 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",5950.38,5997.27,6033.8 "2",5966.51,5982.57,6002.9 "3",5955.11,5982.53,6007.74 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",3099.36,3118.36,3109.93 "2",3124.6,3125.45,3104.55 "3",3122.06,3111.02,3125.11 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6024.44,6051.86,6020.56 "2",6022.49,6024.32,6028.57 "3",5993.1,6024.51,6008.73 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3078.76,3113.28,3113.78 "2",3107.2,3104.8,3111.88 "3",3096.2,3116.11,3128.26 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",5.0426,5.00626,5.03596 "2",5.05105,5.00138,5.04777 "3",5.02653,4.99809,5.02498 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",6025.83,6035.16,6029.94 "2",6000.78,6005.42,6024.49 "3",5987.84,6046.77,6013.31 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",3104.72,3118.44,3118.64 "2",3106.4,3108.48,3115.79 "3",3114.8,3090.9,3101.65 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6.14102,6.0692,6.08645 "2",6.06854,6.13181,6.14827 "3",6.1519,6.07359,6.13874 "Sysbench 1.0.20 - Test: RAM / Memory", Higher Results Are Better "1",16374.76,16461.34,16345.76 "2",16273.07,16372.74,16390.56 "3",16410.29,15644.57,16422.39 "Sysbench 1.0.20 - Test: CPU", Higher Results Are Better "1",8923.79,8916.1,8916.58 "2",8922.35,8915.6,8917.69 "3",8920.07,8920.91,8923.04