Xeon Broadwell December, "Flexible IO Tester 3.25 - Type: Random Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1", "2", "3", "Flexible IO Tester 3.25 - Type: Random Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1", "2", "3",76900,76800,76800 "Flexible IO Tester 3.25 - Type: Random Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1", "2", "3",291,290,290 "Flexible IO Tester 3.25 - Type: Random Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1",73700,73600,73500 "2",74400,74200,74100 "3",74500,74200,74100 "Flexible IO Tester 3.25 - Type: Sequential Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1", "2",302,303,303 "3",306,303,304 "Flexible IO Tester 3.25 - Type: Sequential Read - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1",77600,77100,77700 "2",77300,77600,77600 "3",78300,77700,77800 "Flexible IO Tester 3.25 - Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 2MB - Disk Target: Default Test Directory", Higher Results Are Better "1", "Flexible IO Tester 3.25 - Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 2MB - Disk Target: Default Test Directory", Higher Results Are Better "1", "Flexible IO Tester 3.25 - Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1", "2",296,282,284 "3", "Flexible IO Tester 3.25 - Type: Sequential Write - Engine: IO_uring - Buffered: No - Direct: Yes - Block Size: 4KB - Disk Target: Default Test Directory", Higher Results Are Better "1",75300,75200,75200 "2",75800,72100,72800 "3",75600,75500,75400 "Compile Bench 0.6 - Test: Compile", Higher Results Are Better "1",468.55,478.75,502.79,504.71,504.6,507.11,502.62,508.08 "2",491.85,492.13,489.34 "3",512.46,510.6,516.18 "Compile Bench 0.6 - Test: Initial Create", Higher Results Are Better "1",207.67,191.39,207.26 "2",200.9,196.12,202.91 "3",203.73,205.15,217.6 "Compile Bench 0.6 - Test: Read Compiled Tree", Higher Results Are Better "1",1160.05,1143.17,1188.31 "2",1162.97,1162.97,1188.31 "3",1177.88,1172.87,1188.59 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",240.933,240.934,239.251 "2",240.835,240.489,240.998 "3",240.677,240.561,241.103 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",19.965,19.467,19.941 "2",19.879,19.631,19.596 "3",19.77,19.461,19.475 "Crafty 25.2 - Elapsed Time", Higher Results Are Better "1",3209509,3216196,3216587 "2",3210979,3217258,3225729 "3",3218901,3220680,3212749 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8.48022,8.52145,8.51879 "2",8.4564,8.47162,8.491 "3",8.4775,8.52805,8.51808 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",8.55435,8.2341,8.22022 "2",8.16801,8.28391,8.24289 "3",8.17618,8.2246,8.2159 "oneDNN 2.0 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",6.05236,6.09882,6.09892 "2",6.06721,6.07661,6.07802 "3",6.08483,6.07205,6.08636 "oneDNN 2.0 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",3.98817,4.00895,4.00403 "2",3.97281,3.99097,4.0141 "3",3.97166,4.00104,3.98605 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",14.0653,14.1476,14.0692 "2",14.0619,14.1694,14.0633 "3",14.0646,14.1666,14.1475 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",12.7587,12.7549,12.7512 "2",12.7563,12.7536,12.7727 "3",13.1065,12.7522,12.7561 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",14.3703,14.4496,14.4021 "2",14.409,14.448,14.3663 "3",14.4115,14.4821,14.4579 "oneDNN 2.0 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",17.124,17.3252,17.1827 "2",17.1171,17.2095,17.1184 "3",17.1153,17.2201,17.1566 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",15.9789,16.02,15.9743 "2",16.0124,16.0104,15.9782 "3",15.9515,15.999,16.0618 "oneDNN 2.0 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",11.9367,12.0068,12.1897 "2",11.94,11.9808,12.0599 "3",11.9581,11.9954,11.9632 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",7903.36,7899.57,7900.14 "2",7901.37,7959.03,7901.41 "3",7898.69,7902.03,7911.54 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4215.23,4095.54,4092.91 "2",4098.15,4090.06,4098.01 "3",4091.79,4106.97,4094.01 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",7933.73,7899.39,7899.73 "2",7901.67,7935.65,7942.82 "3",7895.6,7912.98,7919.6 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",4117.59,4127.54,4105.01 "2",4099.16,4098.3,4092.46 "3",4091.66,4103.55,4092.72 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "1",4.11073,4.14155,4.12385 "2",4.12877,4.11229,4.15157 "3",4.11885,4.13129,4.13703 "oneDNN 2.0 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",7908.3,7964.74,7903.01 "2",7908.03,7897.32,7899.31 "3",7904.09,7900.27,7925.9 "oneDNN 2.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "1",4091.53,4100.84,4099.88 "2",4092.46,4097.03,4091.28 "3",4097.84,4093.38,4099.23 "oneDNN 2.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "1",7.4495,7.46714,7.48023 "2",7.44369,7.46274,7.46169 "3",7.45206,7.47528,7.45707 "rav1e 0.4 Alpha - Speed: 1", Higher Results Are Better "1",0.139,0.139,0.139 "2",0.139,0.14,0.139 "3",0.139,0.139,0.14 "rav1e 0.4 Alpha - Speed: 5", Higher Results Are Better "1",0.425,0.426,0.426 "2",0.425,0.426,0.427 "3",0.425,0.426,0.426 "rav1e 0.4 Alpha - Speed: 6", Higher Results Are Better "1",0.575,0.575,0.575 "2",0.575,0.575,0.574 "3",0.575,0.575,0.574 "rav1e 0.4 Alpha - Speed: 10", Higher Results Are Better "1",1.327,1.332,1.33 "2",1.328,1.329,1.331 "3",1.329,1.329,1.332 "Coremark 1.0 - CoreMark Size 666 - Iterations Per Second", Higher Results Are Better "1",79972.009797,80309.190383,78761.299561 "2",80414.132784,78994.614004,79176.563737 "3",80389.890971,80333.383542,80156.304794 "Stockfish 12 - Total Time", Higher Results Are Better "1",5945887,6156977,6102905 "2",6032411,6023265,5886284 "3",6147514,5990349,6059518 "asmFish 2018-07-23 - 1024 Hash Memory, 26 Depth", Higher Results Are Better "1",9211348,9345820,8965103 "2",9254465,9087329,9176535 "3",9001442,9188616,8890420 "Timed Clash Compilation - Time To Compile", Lower Results Are Better "1",850.491,844.881,848.298 "2",846.372,847.945,847.877 "3",845.083,849.144,845.462 "Timed FFmpeg Compilation 4.2.2 - Time To Compile", Lower Results Are Better "1",165.444,165.036,165.356 "2",165.252,165.356,165.853 "3",165.39,165.343,165.179 "ASTC Encoder 2.0 - Preset: Fast", Lower Results Are Better "1",6.65,6.71,6.72 "2",6.66,6.68,6.69 "3",6.69,6.61,6.67 "ASTC Encoder 2.0 - Preset: Medium", Lower Results Are Better "1",16.2,16.15,16.24 "2",16.22,16.21,16.21 "3",16.21,16.18,16.23 "ASTC Encoder 2.0 - Preset: Thorough", Lower Results Are Better "1",100.79,100.78,100.74 "2",100.76,100.81,100.75 "3",100.85,100.83,100.79 "ASTC Encoder 2.0 - Preset: Exhaustive", Lower Results Are Better "1",798.76,798.57,798.22 "2",798.04,798.43,797.98 "3",798.12,798.86,798.28 "SQLite Speedtest 3.30 - Timed Time - Size 1,000", Lower Results Are Better "1",160.039,159.545,160.086 "2",160.523,160.404,160.008 "3",159.877,160.81,160.106 "OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU", Higher Results Are Better "1",0.95,0.95,0.95 "2",0.95,0.95,0.95 "3",0.95,0.95,0.94 "OpenVINO 2021.1 - Model: Face Detection 0106 FP16 - Device: CPU", Lower Results Are Better "1",4198.09,4196.28,4193.98 "2",4194.5,4190.22,4192.32 "3",4192.38,4198.84,4207.88 "OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU", Higher Results Are Better "1",0.95,0.95,0.95 "2",0.95,0.95,0.95 "3",0.95,0.95,0.95 "OpenVINO 2021.1 - Model: Face Detection 0106 FP32 - Device: CPU", Lower Results Are Better "1",4192.79,4192.14,4190.26 "2",4196.22,4193.63,4195.33 "3",4194.5,4198.13,4195.48 "OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU", Higher Results Are Better "1",0.68,0.68,0.68 "2",0.68,0.68,0.68 "3",0.68,0.68,0.68 "OpenVINO 2021.1 - Model: Person Detection 0106 FP16 - Device: CPU", Lower Results Are Better "1",5829.17,5848.83,5826.58 "2",5835.21,5834.38,5832.75 "3",5834.93,5823.15,5846.11 "OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU", Higher Results Are Better "1",0.68,0.68,0.68 "2",0.68,0.68,0.68 "3",0.68,0.68,0.68 "OpenVINO 2021.1 - Model: Person Detection 0106 FP32 - Device: CPU", Lower Results Are Better "1",5830.25,5828.53,5834.62 "2",5824.22,5842.47,5827.31 "3",5831.49,5828.53,5832.89 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Higher Results Are Better "1",2687.73,2692.93,2694.42 "2",2692.97,2689.75,2689.74 "3",2690.68,2685.77,2694.74 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", Lower Results Are Better "1",1.47,1.47,1.47 "2",1.47,1.47,1.47 "3",1.47,1.47,1.47 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU", Higher Results Are Better "1",2693.79,2687.16,2695.05 "2",2693.48,2684.52,2683.77 "3",2692.31,2691.5,2688.16 "OpenVINO 2021.1 - Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU", Lower Results Are Better "1",1.47,1.47,1.47 "2",1.47,1.47,1.47 "3",1.47,1.47,1.47 "PHPBench 0.8.1 - PHP Benchmark Suite", Higher Results Are Better "1",278771,278939,280129 "2",281356,281027,279451 "3",281215,280553,281164 "BRL-CAD 7.30.8 - VGR Performance Metric", Higher Results Are Better "1", "2", "3", "simdjson 0.7 - Throughput Test: Kostya", Higher Results Are Better "1",0.26,0.26,0.26 "2",0.26,0.26,0.26 "3",0.26,0.26,0.26 "simdjson 0.7 - Throughput Test: LargeRandom", Higher Results Are Better "1",0.17,0.17,0.17 "2",0.17,0.17,0.17 "3",0.17,0.17,0.17 "simdjson 0.7 - Throughput Test: PartialTweets", Higher Results Are Better "1",0.24,0.26,0.24,0.24,0.24,0.24,0.24,0.24 "2",0.24,0.24,0.24 "3",0.27,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.29,0.24,0.25,0.24,0.24,0.24,0.24 "simdjson 0.7 - Throughput Test: DistinctUserID", Higher Results Are Better "1",0.25,0.25,0.25 "2",0.25,0.25,0.25 "3",0.25,0.25,0.25