xeon-platinum-8380-2p-smoke-run , "AOM AV1 3.0 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K", Higher Results Are Better "r1",15.14,15.15,14.99 "r1a",15.18,15.13,15.25 "r2b",5.89,6.08,5.94 "r3",6.17,5.3,6.05,5.98,5.88,6.09,5.94,5.82,6.1,6.09,6.02,6.14 "r4",6.01,5.98,6.01 "AOM AV1 3.0 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K", Higher Results Are Better "r1",6.98,7.46,7.44,7.75,7.71,7.15,7.71,7.47,7.22,7.51,6.58,7.12,7.36,7.82,7.2 "r1a",7.43,7.59,7.64 "r2b",3.19,3.07,3.3,3.26,3.35,3.3,3.26,3.14,3.1 "r3",3.13,3.21,3.27 "r4",3.13,3.2,3.32,3.29,3.2 "AOM AV1 3.0 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K", Higher Results Are Better "r1",29.05,29.58,28.96 "r1a",28.41,29.43,29.86,28.36,28.87 "r2b",12.07,11.69,11.43,12.09,12.18,12.13,12.29,11.36,12.13,12.36,11.8,11.92,12.27,12.21,12.45 "r3",11.69,12.12,12.53,11.76,12.38,12.28,11.62,11.93,12.23,11.54,12.25,11.95,11.85,10.66,12.31 "r4",11.79,12.12,12.38 "AOM AV1 3.0 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K", Higher Results Are Better "r1",33.62,32.72,32.87 "r1a",33.06,32.17,32.3 "r2b",13.19,14.83,13.68,13.93,13.61,14.72,14.25,14.76,13.52,14.11,15.14,14.59,14.66,14.78,14.78 "r3",14.36,13.55,14.14,14.17 "r4",14.88,14.65,14.65 "AOM AV1 3.0 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K", Higher Results Are Better "r1a",0.19,0.2,0.19,0.19,0.19 "r2b",0.14,0.15,0.15,0.14,0.14,0.14,0.15,0.14,0.14,0.15,0.14,0.14 "r3",0.15,0.15,0.15 "r4",0.14,0.14,0.14 "AOM AV1 3.0 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K", Higher Results Are Better "r1a",4.24,4.15,4.13 "r2b",1.98,2.06,1.98 "r3",1.98,2.11,2.07,2.11,2.07,1.99,1.97,2.09,2.1 "r4",2.1,2.11,2.09 "AOM AV1 3.0 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p", Higher Results Are Better "r1a",0.51,0.5,0.51 "r2b",0.32,0.32,0.33 "r3",0.33,0.33,0.33 "r4",0.33,0.33,0.33 "AOM AV1 3.0 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p", Higher Results Are Better "r1a",6.9,6.85,6.91 "r2b",3.28,3.26,3.36 "r3",3.45,3.23,3.37,3.36,3.37 "r4",3.34,3.38,3.36 "AOM AV1 3.0 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p", Higher Results Are Better "r1a",28.77,28.58,28.63 "r2b",10.43,10.33,10.42 "r3",10.39,10.41,10.38 "r4",10.49,10.64,10.49 "AOM AV1 3.0 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p", Higher Results Are Better "r1a",20.96,21.24,21.56 "r2b",7.46,7.44,7.44 "r3",7.4,7.26,7.48 "r4",7.35,7.42,7.52 "AOM AV1 3.0 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p", Higher Results Are Better "r1a",106.67,101.36,101.71,110.81,102.47,103.37,106.32,94.84,106.73,101.62,103.86,103.56,110.08,101.54,103.88 "r2b",36.4,35.82,36.39 "r3",35.88,36.56,35.73 "r4",36.22,35.96,36.86 "AOM AV1 3.0 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p", Higher Results Are Better "r1a",127.78,121.49,130.13,127.53,121.97,123.16,119.84,127.22,127.3,127.34,124.96,120.3,125.01,127.32,127.38 "r2b",43.17,42.47,44.15 "r3",40.6,44.29,41.52,44.22,43.18,42.83,43.46,43.5,44.29,42.08,44.12,44.31,44.65,44.45,43.77 "r4",42.77,41.84,42.5 "ASTC Encoder 2.4 - Preset: Medium", Lower Results Are Better "r2b",7.5082,6.6809,6.6026,7.4407,6.6774,6.7412,6.9373,7.2628,7.4876,7.3076,7.4419,7.3883,7.543,7.4217,7.3888 "r4",7.1607,7.1893,7.0917 "ASTC Encoder 2.4 - Preset: Thorough", Lower Results Are Better "r2b",9.844,9.2025,9.2139,9.1888,9.2057,9.2764,9.2049,9.1894 "r4",9.833,9.2088,9.1892,9.2163,9.2012,9.257,9.2583 "ASTC Encoder 2.4 - Preset: Exhaustive", Lower Results Are Better "r2b",16.3639,16.3596,16.3628 "r4",16.3441,16.3734,16.4011 "Basis Universal 1.13 - Settings: ETC1S", Lower Results Are Better "r2b",34.005,34.647,34.059 "r4",35.257,34.045,33.959 "Basis Universal 1.13 - Settings: UASTC Level 0", Lower Results Are Better "r2b",11.432,10.896,10.921,11.756,11.034,11.853,11.302,11.314,11.454,11.496,11.365,11.283,10.883,10.906,10.866 "r4",11.361,11.225,11.093 "Basis Universal 1.13 - Settings: UASTC Level 2", Lower Results Are Better "r2b",14.344,13.806,13.787 "r4",14.339,14.285,13.852 "Basis Universal 1.13 - Settings: UASTC Level 3", Lower Results Are Better "r2b",17.204,17.137,17.147 "r4",17.211,17.168,17.177 "Blender 2.92 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "r2b",29.6,29.66,29.41 "r4",29.92,30.08,29.06 "Blender 2.92 - Blend File: Classroom - Compute: CPU-Only", Lower Results Are Better "r2b",71.69,71.94,71.7 "r4",72.55,72.1,72.22 "Blender 2.92 - Blend File: Fishy Cat - Compute: CPU-Only", Lower Results Are Better "r2b",46.68,46.28,46.18 "r4",46.26,47.1,46.82 "Blender 2.92 - Blend File: Barbershop - Compute: CPU-Only", Lower Results Are Better "r2b",110.3,110.08,109.69 "r4",109.01,109.84,111.04 "Blender 2.92 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "r2b",88.64,88.65,88.41 "r4",88.63,88.22,89.18 "Botan 2.17.3 - Test: KASUMI", Higher Results Are Better "r1",77.253,77.303,77.305 "r1a",77.254,77.287,77.39 "r2b",74.261,77.218,77.38 "r3",74.867,77.149,77.205 "r4",74.667,77.135,77.408 "Botan 2.17.3 - Test: KASUMI - Decrypt", Higher Results Are Better "r1",74.291,74.337,74.333 "r1a",74.281,74.316,74.267 "r2b",74.321,74.295,74.209 "r3",74.307,74.293,74.328 "r4",74.331,74.252,74.293 "Botan 2.17.3 - Test: AES-256", Higher Results Are Better "r1",5670.652,5667.866,5670.581 "r1a",5670.538,5670.529,5671.359 "r2b",5495.801,5665.146,5659.954 "r3",5514.871,5605.604,5659.624 "r4",5509.938,5662.273,5663.775 "Botan 2.17.3 - Test: AES-256 - Decrypt", Higher Results Are Better "r1",5664.89,5660.809,5663.465 "r1a",5663.571,5663.831,5663.433 "r2b",5663.507,5663.881,5660.902 "r3",5660.147,5663.657,5663.221 "r4",5624.841,5662.05,5663.527 "Botan 2.17.3 - Test: Twofish", Higher Results Are Better "r1",288.877,289.35,289.15 "r1a",288.954,288.584,289.018 "r2b",288.783,288.408,288.494 "r3",280.854,288.737,288.949 "r4",280.342,288.822,288.849 "Botan 2.17.3 - Test: Twofish - Decrypt", Higher Results Are Better "r1",292.459,292.93,292.82 "r1a",292.356,292.189,292.576 "r2b",292.629,292.351,292.209 "r3",292.704,292.885,292.891 "r4",292.531,292.631,292.668 "Botan 2.17.3 - Test: Blowfish", Higher Results Are Better "r1",361.918,363.59,363.605 "r1a",363.693,363.622,363.529 "r2b",362.803,363.148,362.827 "r3",351.996,363.269,363.09 "r4",352.552,362.911,363.256 "Botan 2.17.3 - Test: Blowfish - Decrypt", Higher Results Are Better "r1",363.191,363.226,363.348 "r1a",363.433,363.332,363.213 "r2b",363.128,363.266,363.193 "r3",363.309,363.374,363.258 "r4",363.308,363.14,363.39 "Botan 2.17.3 - Test: CAST-256", Higher Results Are Better "r1",115.986,115.955,115.975 "r1a",115.956,115.955,115.999 "r2b",112.355,115.808,115.827 "r3",111.858,115.839,115.853 "r4",112.299,115.829,115.81 "Botan 2.17.3 - Test: CAST-256 - Decrypt", Higher Results Are Better "r1",116.085,116.057,116.081 "r1a",116.062,116.047,116.097 "r2b",116.078,116.073,116.09 "r3",115.016,116.085,116.069 "r4",116.088,116.078,116.045 "Botan 2.17.3 - Test: ChaCha20Poly1305", Higher Results Are Better "r1",623.442,623.529,623.511 "r1a",623.461,623.241,622.893 "r2b",612.467,612.183,622.768 "r3",613.049,622.881,613.574 "r4",613.672,622.783,622.459 "Botan 2.17.3 - Test: ChaCha20Poly1305 - Decrypt", Higher Results Are Better "r1",620.263,619.079,619.031 "r1a",620.334,619.84,618.441 "r2b",608.871,609.03,619.414 "r3",607.377,619.528,609.543 "r4",610.398,619.369,618.157 "CP2K Molecular Dynamics 8.1 - Input: Fayalite-FIST", Lower Results Are Better "r2a", "GNU GMP GMPbench 6.2.1 - Total Time", Higher Results Are Better "r1", "r1a", "r2b", "r3", "r4", "GNU Radio - Test: Five Back to Back FIR Filters", Higher Results Are Better "r1",1027.7,1019.3,1025.8 "r1a",1010.6,1017,1017.9 "r2b",111.6,112.9,109.1 "r3",588.6,306,643.1,666.8,652.8,636.3,467.8,634.1,629.2 "r4",121.1,507.5,501.7,496.2,559.9,496.1,600.7,497.2,611 "GNU Radio - Test: Signal Source (Cosine)", Higher Results Are Better "r1",2184,2184.8,2181.7 "r1a",2177.7,2177.3,2170.8 "r2b",1853.4,1348.1,1851.8 "r3",1360.9,1865.6,1611.8,1376.5,1869.3,1860.8,1855.5,1857.9,1856.4 "r4",1370.8,1611.7,1371.1,1367.9,1875.3,1858.7,1387,1867.6,1863.1 "GNU Radio - Test: FIR Filter", Higher Results Are Better "r1",601.2,605.9,602 "r1a",604.5,604.8,605.2 "r2b",509.3,519.4,381.4 "r3",516.1,516.2,569.3,452.4,515.5,516.8,398.9,512.3,520.7 "r4",519.1,572.8,518.9,439.9,521.7,518.6,520,511.1,518.3 "GNU Radio - Test: IIR Filter", Higher Results Are Better "r1",611.2,610.6,609.9 "r1a",608.7,609.6,610.3 "r2b",453.3,452.9,588.3 "r3",586.3,442.6,454.1,455.4,452.5,453.6,586.9,367.6,587.4 "r4",454,586.7,433.7,388.3,444.6,585.3,454.5,453.8,588.1 "GNU Radio - Test: FM Deemphasis Filter", Higher Results Are Better "r1",735.4,730.2,736.5 "r1a",729.3,725.7,727.2 "r2b",539.2,701.3,697 "r3",696.5,696.9,541,540.8,697,701.7,701.3,470.6,542.9 "r4",542.1,702.8,498,620.6,701.8,699.8,669.3,464.2,699.4 "GNU Radio - Test: Hilbert Transform", Higher Results Are Better "r1",455.7,459.5,462.7 "r1a",459.8,455.9,461.5 "r2b",342.5,446.8,282.9 "r3",447,446.9,390.5,315.8,446,446.7,448,334.3,396.9 "r4",327.7,345.9,446.4,288,333.8,451.5,447.6,275,448.4 "Google Draco 1.4.1 - Model: Lion", Lower Results Are Better "r2b",6103,6098,6176 "r4",6132,6205,6174 "Google Draco 1.4.1 - Model: Church Facade", Lower Results Are Better "r2b",7041,6980,6982 "r4",7085,7075,7085 "HammerDB - MariaDB 10.5.9 - Virtual Users: 8 - Warehouses: 250", Higher Results Are Better "r1",97114,95186,95004 "HammerDB - MariaDB 10.5.9 - Virtual Users: 8 - Warehouses: 250", Higher Results Are Better "r1",294095,288050,288100 "HammerDB - MariaDB 10.5.9 - Virtual Users: 8 - Warehouses: 500", Higher Results Are Better "r1",95195,94942,93000 "HammerDB - MariaDB 10.5.9 - Virtual Users: 8 - Warehouses: 500", Higher Results Are Better "r1",288704,287920,281328 "HammerDB - MariaDB 10.5.9 - Virtual Users: 16 - Warehouses: 250", Higher Results Are Better "r1",63951,62144,65175 "HammerDB - MariaDB 10.5.9 - Virtual Users: 16 - Warehouses: 250", Higher Results Are Better "r1",193699,187983,197058 "HammerDB - MariaDB 10.5.9 - Virtual Users: 16 - Warehouses: 500", Higher Results Are Better "r1",67399,63790,61368,67359,68531,60466,60788,64274,66318 "HammerDB - MariaDB 10.5.9 - Virtual Users: 16 - Warehouses: 500", Higher Results Are Better "r1",203765,193311,185379,203944,208387,183892,183539,194382,200722 "HammerDB - MariaDB 10.5.9 - Virtual Users: 32 - Warehouses: 250", Higher Results Are Better "r1",74978,65269,70475,66320,70780,68995,69566,64626,70476 "HammerDB - MariaDB 10.5.9 - Virtual Users: 32 - Warehouses: 250", Higher Results Are Better "r1",227539,197431,213735,200564,215674,208985,210588,195231,213543 "HammerDB - MariaDB 10.5.9 - Virtual Users: 32 - Warehouses: 500", Higher Results Are Better "r1",73528,68118,67014,73212,67721,67134,65437,68220,68974 "HammerDB - MariaDB 10.5.9 - Virtual Users: 32 - Warehouses: 500", Higher Results Are Better "r1",223120,206125,203110,221864,205554,202782,197388,206053,209775 "HammerDB - MariaDB 10.5.9 - Virtual Users: 64 - Warehouses: 250", Higher Results Are Better "r1",69370,65276,63475,62793,63864,60366,60179,62672,61513 "HammerDB - MariaDB 10.5.9 - Virtual Users: 64 - Warehouses: 250", Higher Results Are Better "r1",209772,197500,192128,190008,192684,182516,182140,190058,185764 "HammerDB - MariaDB 10.5.9 - Virtual Users: 64 - Warehouses: 500", Higher Results Are Better "r1",63978,65496,63421 "r1a",65393,65734,62571,61278,60603,61441,62236,62729,58815 "HammerDB - MariaDB 10.5.9 - Virtual Users: 64 - Warehouses: 500", Higher Results Are Better "r1",193483,198859,191710 "r1a",197636,198282,189648,185560,184095,186493,189131,189483,178525 "HammerDB - MariaDB 10.5.9 - Virtual Users: 128 - Warehouses: 250", Higher Results Are Better "r1",61386,56099,52437,53895,56741,54203,55325,54336,54311 "HammerDB - MariaDB 10.5.9 - Virtual Users: 128 - Warehouses: 250", Higher Results Are Better "r1",186143,170266,159004,163050,171482,164373,167362,164767,163830 "HammerDB - MariaDB 10.5.9 - Virtual Users: 128 - Warehouses: 500", Higher Results Are Better "r1",51821,59352,60383,60407,56250,56554,56428,57444,56069 "r1a",54404,59279,57538,58607,56071,56902,56669,57564,58144 "HammerDB - MariaDB 10.5.9 - Virtual Users: 128 - Warehouses: 500", Higher Results Are Better "r1",156968,180145,182281,183439,170868,171534,170797,173275,170289 "r1a",165020,178979,173840,176569,169368,172673,171810,175002,175791 "Helsing 1.0-beta - Digit Range: 14 digit", Lower Results Are Better "r1", "r1a", "r2b", "r3", "r4", "Intel Memory Latency Checker - Test: Idle Latency", Lower Results Are Better "r1",35,35,35.3 "r1a",33.8,32.8,32.5 "r2",67.6,67.5,67.3 "r2a",33.7,32.5,32.1,31.2,33,31.7,32.8,32.6 "r3",67.8,67.6,67.4 "r4",68,67.8,67.6 "r5",68.2,68.1,67.9 "Intel Memory Latency Checker - Test: Max Bandwidth - All Reads", Higher Results Are Better "r1",357419.31,357218.83,357217.71 "r1a",358649.94,358229.51,358214.22 "r2a",358654.14,358285.28,358428.84 "r2b",357939.38,357715.97,357667.94 "r3",358351.58,358152.59,358299.83 "r4",358090.32,357871.4,357816.22 "r5",357642.39,357516.11,357493.95 "Intel Memory Latency Checker - Test: Max Bandwidth - 3:1 Reads-Writes", Higher Results Are Better "r1",426359.2,426057.45,426030.23 "r1a",425532.74,424272.53,424032.6 "r2a",425602.16,424481.09,424373.25 "r2b",426127.26,425881.17,425983.22 "r3",425117.15,424737.3,424923.08 "r4",425977.41,425813.98,425752.89 "r5",425734.77,425332.11,425335.64 "Intel Memory Latency Checker - Test: Max Bandwidth - 2:1 Reads-Writes", Higher Results Are Better "r1",459521.28,459432.81,459412.04 "r1a",456468.59,456535.58,456885.51 "r2a",456492.87,456488.94,456655.82 "r2b",459327.88,459186.12,459165.58 "r3",457252.41,456963.3,457208 "r4",458808.09,458783.7,458781.09 "r5",458849.29,458755.17,458664.93 "Intel Memory Latency Checker - Test: Max Bandwidth - 1:1 Reads-Writes", Higher Results Are Better "r1",440988.69,438156.11,439345.41 "r1a",443523.79,439871.94,440828.55 "r2a",446017.96,439839.35,441522.85 "r2b",447967.82,438648.01,438582.49 "r3",441492.37,440675.85,440649.44 "r4",444848,437170.92,438927.32 "r5",442155.22,439914.39,438546.05 "Intel Memory Latency Checker - Test: Max Bandwidth - Stream-Triad Like", Higher Results Are Better "r1",325788.1,325795.68,325717.03 "r1a",325196.57,325161.37,325195.79 "r2a",325366.41,325202.46,325212.37 "r2b",325482.96,325433.23,325313.79 "r3",325137.42,325206.02,325312.05 "r4",325328.34,325301.67,325313.85 "r5",325268.79,325344.54,325323.56 "Intel Memory Latency Checker - Test: Peak Injection Bandwidth - All Reads", Higher Results Are Better "r1",355081.8,356946.2,357400.6 "r1a",358364.2,358413.4,358378.9 "r2a",358338.1,358261.9,358209 "r2b",357730.9,357725.9,357771.8 "r3",358513.3,358434.2,358443.6 "r4",358087.8,358163.6,358080.2 "r5",357770.2,357695,357703 "Intel Memory Latency Checker - Test: Peak Injection Bandwidth - 3:1 Reads-Writes", Higher Results Are Better "r1",425637.5,425962.9,426200.7 "r1a",423974.4,424283.6,424031.9 "r2a",424394.2,423613.6,424224.1 "r2b",425971.8,425885.8,425919.1 "r3",425035.7,424736.4,424941.3 "r4",425783,425863.6,425819.8 "r5",425533.9,425528.8,425461.6 "Intel Memory Latency Checker - Test: Peak Injection Bandwidth - 2:1 Reads-Writes", Higher Results Are Better "r1",458513.2,459165.5,459437.1 "r1a",456445,456327.2,456008.8 "r2a",456623.3,456227.2,456375.2 "r2b",459364.3,459181.6,459383.4 "r3",457044.4,457264.9,457262.1 "r4",458890.3,458923.7,459011.8 "r5",458808.5,458833.3,458850 "Intel Memory Latency Checker - Test: Peak Injection Bandwidth - 1:1 Reads-Writes", Higher Results Are Better "r1",440684.8,441889.6,444692.4 "r1a",442548.7,442955.5,443025.4 "r2a",441727.6,442424.5,442280.4 "r2b",439978.3,441048.7,440337.1 "r3",449829.3,449395.8,449437.1 "r4",448208.9,447776.9,443202.1 "r5",450171.3,448976.7,447252.4 "Intel Memory Latency Checker - Test: Peak Injection Bandwidth - Stream-Triad Like", Higher Results Are Better "r1",324520.7,324023.4,324587.4 "r1a",323850,323946.1,323976.4 "r2a",323890.7,323774.4,323815.5 "r2b",324201.7,324235.2,324192.6 "r3",324223.1,324174.2,324284.9 "r4",324232.5,324067.3,324038.6 "r5",324342,324206.6,324154.8 "KTX-Software toktx 4.0 - Settings: UASTC 3", Lower Results Are Better "r2b",5.567,5.543,6.005,5.969,5.993,5.995,5.556,5.546,5.515,5.52,5.565,5.549,5.544,5.554,5.54 "r4",5.574,5.566,5.546 "KTX-Software toktx 4.0 - Settings: Zstd Compression 9", Lower Results Are Better "r2b",3.47,3.466,3.475 "r4",3.544,4.151,4.061,3.549,3.542,3.551,3.551,3.548,3.553,3.557,3.562,3.553,3.997,4.151,3.581 "KTX-Software toktx 4.0 - Settings: Zstd Compression 19", Lower Results Are Better "r2b",20.213,19.566,19.565 "r4",20.479,19.889,19.879 "KTX-Software toktx 4.0 - Settings: UASTC 3 + Zstd Compression 19", Lower Results Are Better "r2b",9.909,9.992,10.131 "r4",10.466,9.942,9.915,9.853,9.969 "KTX-Software toktx 4.0 - Settings: UASTC 4 + Zstd Compression 19", Lower Results Are Better "r2b",55.312,58.064,57.577,55.687 "r4",55.303,57.352,57.654 "libavif avifenc 0.9.0 - Encoder Speed: 0", Lower Results Are Better "r1",57.758,57.764,58.403 "r1a",57.224,57.926,57.981 "r2b",65.095,65.272,64.545 "r3",65.772,66.365,65.742 "r4",66.881,64.585,66.199 "libavif avifenc 0.9.0 - Encoder Speed: 2", Lower Results Are Better "r1",31.731,31.407,31.478 "r1a",31.403,31.481,31.553 "r2b",37.652,39.028,38.437 "r3",38.597,37.933,38.41 "r4",37.907,37.839,37.642 "libavif avifenc 0.9.0 - Encoder Speed: 6", Lower Results Are Better "r1",13.216,13.35,13.175 "r1a",13.479,13.306,13.2 "r2b",15.724,15.98,16.491 "r3",16.702,15.729,17.01,17.781,16.508,17.318,16.49,16.354,16.613,16.458,16.883,16.882,16.329,16.129,16.033 "r4",16.89,15.876,15.646,16.001,16.487,16.79,15.723,15.258,16.086,16.54,16.509,16.426,16.77,16.102,16.064 "libavif avifenc 0.9.0 - Encoder Speed: 10", Lower Results Are Better "r1",5.401,5.524,5.506 "r1a",5.487,5.532,5.495 "r2b",6.497,6.876,7.16,6.407,6.757,6.294,6.9,7.05,7.353,6.391,6.9,6.457,5.805,5.919,7.078 "r3",7.073,7.314,5.802,7.25,6.427,5.875,6.703,6.443,7.068,7.029,7.026,6.483,5.736,6.893,5.833 "r4",6.471,6.999,7.191,6.499,7.022,5.731,5.925,6.965,7.413,6.338,6.847,7.271,7.322,6.488,6.707 "libavif avifenc 0.9.0 - Encoder Speed: 6, Lossless", Lower Results Are Better "r1",32.103,32.052,32.185 "r1a",31.48,31.589,31.803 "r2b",38.698,37.929,38.559 "r3",39.286,38.3,38.183 "r4",38.983,39.733,37.135,38.79,38.21,38.192 "libavif avifenc 0.9.0 - Encoder Speed: 10, Lossless", Lower Results Are Better "r1",8.925,8.811,8.821 "r1a",8.84,8.809,8.786 "r2b",10.705,9.812,9.828,10.228,10.723,10.446,9.777,9.415,10.563,10.679,11.023,9.733,9.341,10.673,11.287 "r3",10.731,10.592,9.227,10.554,9.72,10.162,10.261,10.991,9.727,9.785,9.917,9.86,9.323,10.255,10.216 "r4",9.826,9.801,10.897,10.641,9.437,10.593,9.694,10.618,9.231,9.286,10.523,10.185,10.539,10.849,10.998 "libjpeg-turbo tjbench 2.1.0 - Test: Decompression Throughput", Higher Results Are Better "r1",161.903738,161.603271,161.396847 "r1a",157.529802,156.218663,157.158583 "r2b",160.397181,160.19367,160.196826 "r3",161.226115,158.545759,157.789241 "r4",158.595971,160.14683,158.970456 "Liquid-DSP 2021.01.31 - Threads: 1 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",58006000,57448000,57922000 "r2b",55811000,55442000,57438000 "r3",56105000,57864000,57624000 "r4",56320000,54762000,54673000 "Liquid-DSP 2021.01.31 - Threads: 2 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",110220000,109770000,112150000 "r2b",109050000,111970000,109500000 "r3",110650000,111970000,111910000 "r4",109600000,109170000,109520000 "Liquid-DSP 2021.01.31 - Threads: 4 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",215470000,218880000,218580000 "r2b",211610000,214370000,213630000 "r3",213730000,213630000,218670000 "r4",212860000,218770000,218690000 "Liquid-DSP 2021.01.31 - Threads: 8 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",442130000,442580000,441150000 "r2b",429230000,423390000,431680000 "r3",429860000,432540000,434110000 "r4",426620000,433870000,435550000 "Liquid-DSP 2021.01.31 - Threads: 16 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",884720000,886700000,884540000 "r1a",891040000,890840000,888940000 "r2b",855690000,865820000,867160000 "r3",867040000,864120000,865070000 "r4",861380000,877720000,841040000 "Liquid-DSP 2021.01.31 - Threads: 32 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",1742900000,1730100000,1732300000 "r1a",1737100000,1741000000,1732300000 "r2b",1679100000,1710000000,1708900000 "r3", "r4",1689200000,1692800000,1710500000 "Liquid-DSP 2021.01.31 - Threads: 64 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",3277500000,3261100000,3262800000 "r1a",3267900000,3260800000,3262400000 "r2b",3198700000,3257700000,3225900000 "r3",3203800000,3253400000,3240900000 "r4",3220800000,3263900000,3252300000 "Liquid-DSP 2021.01.31 - Threads: 128 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",3431900000,3405700000,3410200000 "r1a",3302200000,3326600000,3429400000 "r2b",3374500000,3424000000,3401700000 "r3",3397500000,3415300000,3420200000 "r4",3385300000,3431700000,3379400000 "Liquid-DSP 2021.01.31 - Threads: 160 - Buffer Length: 256 - Filter Length: 57", Higher Results Are Better "r1",3110800000,3159600000,3164000000 "r1a",3164700000,3163500000,3158000000 "r2b",3121200000,3160900000,3113500000 "r3",3113500000,3158600000,3157800000 "r4",3107500000,3158300000,3155000000 "LuaRadio 0.9.1 - Test: Five Back to Back FIR Filters", Higher Results Are Better "r1",1095.7,1090.5,1098.1 "r1a",1093.6,1094.2,1095.7 "r2b",754.9,841.8,897.9,702.2,789.1,718.6,808.5,864.7,862.5 "r3",536.4,738.7,759.4,810,349,783.1 "r4",690.2,751.7,828.9,791.4,355,819.3 "LuaRadio 0.9.1 - Test: FM Deemphasis Filter", Higher Results Are Better "r1",409.6,410.1,410.3 "r1a",406.8,411.1,410.9 "r2b",367.4,338.9,374.4,387,387.2,382.3,362.1,355.9,375.9 "r3",364.5,387.5,366.7,353.2,371.8,378.3 "r4",370.2,369.9,365.5,369.7,369.4,363.2 "LuaRadio 0.9.1 - Test: Hilbert Transform", Higher Results Are Better "r1",80.3,80.3,80.3 "r1a",80.3,80.3,80.3 "r2b",79.7,79.6,77.6,78.5,76.1,77.8,77.4,79.6,77.6 "r3",79.7,76.5,78.6,78.9,77.8,77.4 "r4",77.7,79,79.7,75.8,79.7,78.5 "LuaRadio 0.9.1 - Test: Complex Phase", Higher Results Are Better "r1",546.3,547.1,547 "r1a",546.9,548.5,549.3 "r2b",470.8,457.6,454.8,466,452.2,443.9,443.6,468.5,470.5 "r3",470.9,455,452.5,457.9,469.6,443.3 "r4",441.3,470,440.1,455.2,453,456.4 "LuxCoreRender 2.5 - Scene: DLSC - Acceleration: CPU", Higher Results Are Better "r1",9.6,9.88,9.61 "r1a",9.79,9.62,8.62,9.46,9.95,9.89,9.62,9.54,10.06,9.57,9.49,9.51,10.05,9.54,9.49 "r2b",9.48,9.85,9.17,9.17,9.77,9.38,8.95,9.42,9.38,9.35,8.74,9.14,8.93,8.93,9.38 "r3",9.05,9.34,9.34 "r4",9.42,9.1,9.23 "LuxCoreRender 2.5 - Scene: Danish Mood - Acceleration: CPU", Higher Results Are Better "r1",7.55,7.43,7.27 "r1a",7.7,7.37,7.57 "r2b",5.66,5.8,5.72 "r3",5.74,5.7,5.52 "r4",5.67,5.61,5.76 "LuxCoreRender 2.5 - Scene: Orange Juice - Acceleration: CPU", Higher Results Are Better "r1",14.59,14.15,14.33 "r1a",14.07,14.67,14.04 "r2b",14.51,13.92,14.42 "r3",14.68,13.54,13.58,14.07,13.37,13.58,13.7,13.87,14.17,14.31,13.54,13.38,13.78,13.9,14.86 "r4",14.24,13.55,14.37,13.64,14.89,13.91,13.31,13.5,13.96,13.43,13.74,14.25,13.51,15.02,13.78 "LuxCoreRender 2.5 - Scene: LuxCore Benchmark - Acceleration: CPU", Higher Results Are Better "r1",7.94,7.79,7.79 "r1a",8.05,8.05,8.01 "r2b",5.85,5.87,5.8 "r3",5.9,5.95,5.92 "r4",5.86,5.82,5.92 "LuxCoreRender 2.5 - Scene: Rainbow Colors and Prism - Acceleration: CPU", Higher Results Are Better "r1",21.5,20.95,12.9,21.68,21.59,14.32,20.42,15.1,11.62,12.99,22.01,19.53,14.6,12.2,14.12 "r1a",10.34,14.77,11.55,11.86,12.63,13.82,11.55,17.25,12.46,15.15,15.36,13.34,13.22,14.3,12.47 "r2b",10.54,13.41,11.91,18.96,12.88,11.48,12.81,12.85,13.61,13.21,10.59,11.08,21.07 "r3",15.92,13.17,12.1,18.59,10.45,21.31,13.64,20.81,21.27,16.23,13.69,20.4 "r4",12.3,14.99,15.51,18.38,11.32,15.36,20.88,15.31,11.99,14.13,12.89,14.45 "MariaDB 10.5.2 - Clients: 1", Higher Results Are Better "r2b",3472.2222222222,3861.0038610039,3436.4261168385,3717.4721189591,3401.3605442177,3086.4197530864,3300.3300330033,2976.1904761905,3412.9692832765,3558.71886121,3344.4816053512,3105.5900621118,2898.5507246377,3533.5689045936,2932.5513196481 "r3",3322.2591362126,3289.4736842105,3533.5689045936,2949.8525073746,3401.3605442177,3690.036900369,3584.229390681,3676.4705882353,3508.7719298246,3558.71886121,3649.6350364964,3333.3333333333 "MariaDB 10.5.2 - Clients: 4", Higher Results Are Better "r2b",1582.2784810127,1633.9869281046,1626.0162601626 "r3",1592.3566878981,1567.3981191223,1579.7788309637 "MariaDB 10.5.2 - Clients: 8", Higher Results Are Better "r2b",1398.6013986014,1406.4697609001,1434.7202295552 "r3",1414.4271570014,1426.5335235378,1418.4397163121 "MariaDB 10.5.2 - Clients: 16", Higher Results Are Better "r2b",1267.4271229404,1261.0340479193,1264.2225031606 "r3",1259.4458438287,1257.8616352201,1269.0355329949 "MariaDB 10.5.2 - Clients: 32", Higher Results Are Better "r2b",884.95575221239,884.1732979664,884.95575221239 "r3",883.39222614841,887.31144631766,889.67971530249 "MariaDB 10.5.2 - Clients: 64", Higher Results Are Better "r2b",403.06328093511,403.22580645161,401.28410914928 "r3",403.87722132472,403.38846308996,403.38846308996 "MariaDB 10.5.2 - Clients: 128", Higher Results Are Better "r2b",190.76688286913,192.93845263361,191.38755980861 "r3",188.82175226586,189.57345971564,190.00570017101 "MariaDB 10.5.2 - Clients: 256", Higher Results Are Better "r2b",160.48788316482,160.61676839062,159.89766549408 "MariaDB 10.5.2 - Clients: 512", Higher Results Are Better "r2b",166.08536787909,164.58196181699,167.58840288252 "Mobile Neural Network 1.1.3 - Model: SqueezeNetV1.0", Lower Results Are Better "r2b",7.176,7.175,7.171 "r4",6.448,7.002,7.321,7.432,7.199,7.158,7.166,7.011,7.226,7.492,7.242,7.341 "Mobile Neural Network 1.1.3 - Model: resnet-v2-50", Lower Results Are Better "r2b",51.284,51.366,43.546 "r4",43.819,44.826,53.176,53.248,50.166,46.84,50.19,47.822,47.674,42.774,51.976,43.978 "Mobile Neural Network 1.1.3 - Model: MobileNetV2_224", Lower Results Are Better "r2b",4.715,3.929,3.589 "r4",4.617,3.88,4.511,4.726,3.518,4.195,3.633,4.008,3.465,3.736,4.741,4.167 "Mobile Neural Network 1.1.3 - Model: mobilenet-v1-1.0", Lower Results Are Better "r2b",3.047,3.353,3.24 "r4",3.333,3.313,3.365,3.272,3.43,3.304,3.43,3.356,3.486,3.431,3.235,3.387 "Mobile Neural Network 1.1.3 - Model: inception-v3", Lower Results Are Better "r2b",55.128,54.041,50.049 "r4",50.997,53.454,55.45,53.869,51.886,55.033,53.381,48.243,54.925,48.876,52.2,48.412 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",0.918885,0.91478,0.922039 "r1a",0.908064,0.914594,0.914179 "r2b",0.963486,0.924527,0.94286 "r3",0.951468,0.929884,0.929472 "r4",0.956403,0.93831,0.92743 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",1.24459,1.24912,1.25057 "r1a",1.25788,1.47365,1.23076,1.24163,1.22948,1.23131,1.24925,1.23086,1.23191,1.23832,1.23958,1.23169,1.23964,1.23489,1.22918 "r2b",1.27139,1.24936,1.23863 "r3",1.26408,1.22244,1.23876 "r4",1.26785,1.22923,1.22958 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",1.24371,1.19139,1.19104,1.24698,1.13623,1.2337,1.23548,1.18899,1.23932,1.24801,1.26166,1.24379,1.26165,1.14074,1.17646 "r1a",1.28002,1.23481,1.20172,1.22526,1.16262,1.18724,1.16933,1.27826,1.221,1.24205,1.17035,1.26942,1.29801,1.20254,1.19911 "r2b",1.32857,1.16131,1.2043,1.27125,1.19972,1.18802,1.22315,1.23943,1.25911,1.30931,1.2453,1.20254,1.21528,1.26335,1.25878 "r3",1.34416,1.2383,1.2501,1.2043,1.20483,1.22811,1.28356,1.27897,1.20056,1.26502,1.23251,1.18468,1.28192,1.23006,1.24913 "r4",1.33314,1.23215,1.24304,1.25873,1.22716,1.25456,1.22965,1.24976,1.26345,1.21335,1.2574,1.19803,1.24854,1.22707,1.18138 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",0.399932,0.398807,0.396108 "r1a",0.397458,0.393573,0.395734 "r2b",0.415335,0.396497,0.398158,0.403645 "r3",0.434028,0.406854,0.404191,0.39933,0.399933,0.408889,0.400482,0.405514,0.401695,0.407858 "r4",0.430852,0.400184,0.396453,0.402426,0.408087,0.397057,0.39707,0.402158,0.402361,0.394569,0.398274,0.405104,0.398709,0.407561 "oneDNN 2.1.2 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",2.95954,2.96383,2.96069 "r1a",2.97088,2.97175,2.96308 "r2b",3.27756,2.98065,2.9823,2.97005,2.97714,2.97852,2.99413,2.98955,2.97683,2.98146,2.98338,2.96877,2.99995 "r3",3.32979,2.98809,2.99872,2.9907,2.98114,2.97596,2.98216,2.96673,2.99788,2.98057,2.97607,2.97993,2.98278,2.99957 "r4",3.32643,2.98275,2.99164,2.99331,2.98759,2.96639,2.97748,2.98547,2.97921,2.98893,2.97959,2.99318,2.98589,2.98918 "oneDNN 2.1.2 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",1.8095,1.78965,1.80223 "r1a",1.79995,1.8001,1.79639 "r2b",1.84505,1.80781,1.80037 "r3",1.83555,1.81259,1.88204 "r4",1.832,1.82522,1.80018 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",1.10767,1.10671,1.11536 "r1a",1.12052,1.12155,1.12466 "r2b",1.12529,1.1161,1.11483 "r3",1.1637,1.13014,1.14351 "r4",1.14001,1.11488,1.09944 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",7.53616,7.47144,7.4764 "r1a",7.51884,7.46389,7.51903 "r2b",31.8862,27.4638,28.2174,29.1147,28.0928,28.5784,27.7421,27.811,27.9569,27.9375,28.6552,27.5221,28.2514 "r3",31.9087,27.8488,27.587,27.6236,28.7906,27.3725,28.6014,27.4583,27.9188,27.8554,27.39,28.2043,28.3206,26.8501,28.9923 "r4",32.3936,28.1505,26.9361,28.8375,27.981,27.8183,28.1502,28.7814,28.6177,27.9279,28.104,27.837 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",0.861588,0.868999,0.861904 "r1a",0.86732,0.860999,0.861323 "r2b",0.981999,0.863947,0.872853,0.863976,0.863541,0.870879,0.862797,0.862219,0.862201,0.870759,0.864837,0.863336,0.870452,0.863325 "r3",0.976452,0.87484,0.864386,0.865505,0.873469,0.863387,0.864225,0.863227,0.872956,0.863429,0.865003,0.870538,0.869701,0.862429 "r4",0.969559,0.864658,0.871904,0.86524,0.864336,0.873491,0.863393,0.864624,0.864561,0.892714,0.870072,0.864784,0.871792,0.866054 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",0.88539,0.86547,0.882584 "r1a",0.885101,0.880736,0.871574 "r2b",0.879147,0.868397,0.862389 "r3",0.911561,0.904751,0.889156 "r4",0.883409,0.865542,0.877313 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",0.336621,0.339195,0.339164 "r1a",0.346577,0.337948,0.340465 "r2b",0.352012,0.34665,0.331906,0.338715,0.34018 "r3",0.357966,0.336148,0.34204,0.336602,0.341739,0.337237 "r4",0.348326,0.3376,0.334804 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",0.218282,0.207086,0.201073,0.213518,0.206926,0.218346,0.213204,0.205585,0.218376,0.19406,0.226233,0.206613,0.220847,0.203761,0.209874 "r1a",0.20851,0.211898,0.211775 "r2b",0.266304,0.213064,0.21536,0.208326,0.212935,0.204344,0.188159,0.209887,0.192496,0.20437,0.204103,0.211394,0.203304,0.212589,0.208221 "r3",0.26049,0.215271,0.219255,0.216452,0.215203,0.213144,0.224006,0.216347,0.215461,0.218431,0.213647,0.200982,0.211921,0.208189,0.226429 "r4",0.275805,0.222681,0.207872,0.222986,0.20119,0.207345,0.207654,0.221206,0.206098,0.212378,0.237404,0.229593,0.205819,0.209995,0.201095 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",790.808,797.614,815.805 "r1a",809.317,808.282,795.369 "r2b",827.676,800.62,796.571 "r3",794.916,798.673,796.477 "r4",794.987,786.964,794.937 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",447.375,449.139,447.399 "r1a",448.941,447.137,445.845 "r2b",447.757,445.039,446.37 "r3",454.761,446.453,450.73 "r4",447.755,447.507,444.346 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",796.933,791.272,790.287 "r1a",787.001,789.719,799.06 "r2b",792.61,789.342,787.555 "r3",788.832,794.368,796.039 "r4",789.459,790.789,795.9 "oneDNN 2.1.2 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",2.08163,2.07981,2.07688 "r1a",2.08546,2.08816,2.08235 "r2b",2.15672,2.09729,2.09736 "r3",2.14726,2.08984,2.08813 "r4",2.14338,2.09825,2.08349 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",3.52682,3.53048,3.53349 "r1a",3.54047,3.53289,3.55764 "r2b",3.54829,3.52218,3.52317 "r3",3.55934,3.58571,3.54166 "r4",3.55989,3.54602,3.53758 "oneDNN 2.1.2 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",3.59087,3.5619,3.56463 "r1a",3.56333,3.59082,3.57572 "r2b",4.34521,3.57784,3.61053,3.57595,3.57888,3.60902,3.59858,3.59368,3.56981,3.60508,3.57644,3.578,3.60223,3.57129 "r3",4.37605,3.59114,3.57263,3.60049,3.57335,3.56979,3.60757,3.57521,3.56961,3.57434,3.60085,3.57363,3.56733,3.61256 "r4",4.37142,3.6002,3.59616,3.5742,3.60973,3.57623,3.57623,3.57612,3.61142,3.58101,3.56964,3.61222,3.57429,3.57582 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",447.216,444.768,444.574 "r1a",444.146,446.596,451.567 "r2b",449.735,445.833,447.535 "r3",446.994,446.879,446.877 "r4",443.519,447.726,452.628 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "r1",0.241694,0.239282,0.238992 "r1a",0.240764,0.240803,0.238798 "r2b",0.248831,0.242402,0.237844 "r3",0.253111,0.240821,0.242592,0.239261,0.240754 "r4",0.255815,0.240665,0.240051,0.241113,0.23988,0.238841,0.240788 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",818.39,796.795,797.991 "r1a",793.407,796.048,790.633 "r2b",792.109,790.494,792.481 "r3",793.313,795.561,792.873 "r4",789.793,1029.24,793.883,796.771,788.316,788.379,788.458,787.008,816.639,796.486,793.551,793.434,807.664,797.551 "oneDNN 2.1.2 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",444.583,444.547,446.302 "r1a",447.471,443.599,449.739 "r2b",447.157,448.468,446.237 "r3",445.314,446.616,449.502 "r4",445.15,445.652,455.915 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "r1",0.216645,0.215056,0.213643 "r1a",0.212184,0.21389,0.214855 "r2b",0.227778,0.213399,0.215078,0.212487,0.216248,0.216406,0.21171,0.221343 "r3",0.228342,0.212476,0.216053,0.215674,0.213505,0.215573,0.214477 "r4",0.23042,0.212995,0.216565,0.215693,0.214477,0.209615,0.212806,0.212022,0.217572,0.215261,0.211851,0.21174 "oneDNN 2.1.2 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "r1",0.591093,0.591596,0.596436 "r1a",0.594294,0.596994,0.595696 "r2b",0.610481,0.597938,0.597947 "r3",0.611044,0.596988,0.598909 "r4",0.609322,0.598765,0.598026 "SecureMark 1.0.4 - Benchmark: SecureMark-TLS", Higher Results Are Better "r1",225841.062,225033.828,225362.188 "r1a",225612.484,224893.891,225591.562 "r2b",225511.25,225262.281,225255.453 "r3",225730.828,225337.484,224806.047 "r4",225276.594,217215.562,225749.547 "srsLTE 20.10.1 - Test: OFDM_Test", Higher Results Are Better "r1",119100000,121100000,120700000 "r1a",120000000,120600000,119800000 "r2b",121100000,120000000,121100000 "r3",122000000,120000000,120500000 "r4",121100000,120300000,120600000 "srsLTE 20.10.1 - Test: PHY_DL_Test", Higher Results Are Better "r1",184.1,185,181.2 "r1a",184.4,184.7,183.5 "r2b",179.2,182.5,183.2 "r3",176.8,183.9,184.2 "r4",183.3,184.8,182.9 "srsLTE 20.10.1 - Test: PHY_DL_Test", Higher Results Are Better "r1",75.7,78.3,76.7 "r1a",77.2,79.4,75.4 "r2b",74.3,75.1,75.6 "r3",74.3,75.7,78.2 "r4",79.2,77.1,78.5 "Stockfish 13 - Total Time", Higher Results Are Better "r1",191465307,177268672,170087434,181328087,185636606,191430407,187877228,177903733,177381388,174945045,180608484,176523316,184337853,182236801,185641918 "r1a",189198848,181497022,188094785 "r2b",184635307,182175327,177852020 "r3",191468285,185384757,190790455 "r4",185839594,191549896,180868607,185794946 "SVT-HEVC 1.5.0 - Tuning: 1 - Input: Bosphorus 1080p", Higher Results Are Better "r1",36.42,37.42,36.88 "r1a",37.03,37.18,37.81 "r2b",27.8,27.95,27.64 "r3",28.3,27.94,28.42 "r4",28.48,28.13,27.41 "SVT-HEVC 1.5.0 - Tuning: 7 - Input: Bosphorus 1080p", Higher Results Are Better "r1",291.83,292.83,287.36 "r1a",287.22,288.05,291.69 "r2b",163.67,160.94,155.48,154.64,156.09 "r3",159.91,158.98,154.6 "r4",158.69,154.92,155.16 "SVT-HEVC 1.5.0 - Tuning: 10 - Input: Bosphorus 1080p", Higher Results Are Better "r1",496.28,494.64,506.76 "r1a",486.22,491.8,502.51 "r2b",231.39,233.01,242.33,231.3 "r3",249.38,232.92,231.93,231.75,236.69,232.02,231.04,236.03,229.62,232.56 "r4",231.75,234.56,235.57 "SVT-VP9 0.3 - Tuning: VMAF Optimized - Input: Bosphorus 1080p", Higher Results Are Better "r1",219.38,401.29,400.78,406.41,409.94,404.16,397.5,382.47,387.68,405.06,405.14,415.71 "r1a",218.1,412.08,409.65,414.74,413.95,412.14,412.41,413.52,397.52,413.23,399.65,404.57 "r2b",139.7,181.56,188.72,180.58,183.35,185.36,195.76,188.23,186.74,188.47,182.03,186.63 "r3",183.55,188.63,184.4 "r4",183.63,183.24,185.35 "SVT-VP9 0.3 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p", Higher Results Are Better "r1",403.74,401.39,398.74 "r1a",409.32,407.03,408.38 "r2b",183.94,181.57,181 "r3",178.55,180.07,185.94 "r4",178.64,180.07,178.69 "SVT-VP9 0.3 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p", Higher Results Are Better "r1",325.69,328.1,329.83 "r1a",331.48,329.45,327.66 "r2b",165.43,162.07,165.46 "r3",165.43,161.35,166.76 "r4",164.12,163.47,159.05 "Sysbench 1.0.20 - Test: RAM / Memory", Higher Results Are Better "r2b",11763.86,12659.28,12482.33,12260.34,13464.17,12761.67,12622.1,12345.88,12684.79,12574.89,13186.98,11882.36,12706.52,12591.06,11672.1 "r4",11372.15,12509.41,12341.58,12928.65,12343.04,12465.13,13027.57,12462.85,12870.27,12680.23,12094.18,12557.14,13371.45,12438.07,12839.94 "Sysbench 1.0.20 - Test: CPU", Higher Results Are Better "r2b",213716.29,214452.17,214464.03 "r4",213702.33,214508.57,214513.12 "Timed Erlang/OTP Compilation 23.2 - Time To Compile", Lower Results Are Better "r1",114.721,114.185,114.743 "r1a",114.477,113.185,113.737 "r2b",189.599,192.942,192.696 "r3",191.886,191.982,192.868 "r4",191.336,196.709,193.473 "Timed Linux Kernel Compilation 5.10.20 - Time To Compile", Lower Results Are Better "r1",25.283,24.082,24.042,24.12 "r1a",25.198,24.12,24.115,24.005 "r2b",31.923,27.09,28.086,27.814,27.186,27.481,28.414,28.209,27.411,27.406,28.171,27.594,27.818,27.354 "r3",33.233,27.727,27.294,27.728,27.815,27.257,27.463,27.82,27.363,28.303,27.327,27.858,27.216,27.848 "r4",32.82,27.405,28.152,27.569,28.149,27.594,27.706,27.799,27.996,28.013,27.266,27.359,27.727,27.764 "Timed LLVM Compilation 12.0 - Build System: Ninja", Lower Results Are Better "r1",144.799,145.753,146.6 "r1a",144.515,147.014,145.122 "r2b",146.581,148.402,150.469 "r3",146.55,147.637,147.301 "r4",145.959,147.903,146.865 "Timed LLVM Compilation 12.0 - Build System: Unix Makefiles", Lower Results Are Better "r1",214.934,216.01,218.026 "r1a",217.018,215.981,214.281 "r2b",225.341,226.063,227.917 "r3",225.6,224.413,228.585 "r4",223.448,224.892,224.53 "Timed Mesa Compilation 21.0 - Time To Compile", Lower Results Are Better "r1",20.938,21,20.919 "r1a",20.625,20.276,20.237 "r2b",21.505,21.593,21.626 "r3",21.329,21.642,21.137 "r4",21.326,21.11,21.503 "Timed Node.js Compilation 15.11 - Time To Compile", Lower Results Are Better "r1",100.61,101.549,101.145 "r1a",100.117,101.024,100.197 "r2b",110.031,111.746,111.013 "r3",110.542,112.86,111.969 "r4",110.437,113.102,111.479 "Timed Wasmer Compilation 1.0.2 - Time To Compile", Lower Results Are Better "r1",62.561,62.105,61.815 "r1a",63.12,61.637,61.034 "r2b",71.244,72.686,71.855 "r3",73.789,71.187,68.802,69.909,70.005,72.937,71.28 "r4",70.357,71.774,70.142 "toyBrot Fractal Generator 2020-11-18 - Implementation: TBB", Lower Results Are Better "r1",6795,6730,7277,6756,6806,6755,7469,6800,6820,6735,6609,6647,6948,6796,6813 "r1a",7095,6817,6981 "r2b",7088,7378,6857,6803,7135,7025,7714,6749,6972,6959,6691,7095,6678,6631,6991 "r3",7338,7101,6659,7205,7464,7021,7330,6787,6697,6943,6990,6633,6915,6740,7220 "r4",7061,7612,7860,6917,6930,6704,6819,6911,7018,6806,6871,7069,6957,6706,7001 "toyBrot Fractal Generator 2020-11-18 - Implementation: OpenMP", Lower Results Are Better "r1",7321,7325,7308 "r1a",7307,7308,7310 "r2b",7612,7343,7281 "r3",7691,7314,7361,7390 "r4",7700,7336,7365,7313 "toyBrot Fractal Generator 2020-11-18 - Implementation: C++ Tasks", Lower Results Are Better "r1",7811,7867,7960 "r1a",7499,7878,7779,7741 "r2b",8252,7924,7974 "r3",8267,7815,8092,8019 "r4",8287,7901,7992,7969 "toyBrot Fractal Generator 2020-11-18 - Implementation: C++ Threads", Lower Results Are Better "r1",6983,6956,7115 "r1a",6964,6938,7038 "r2b",7328,7057,7061 "r3",7396,7071,7141 "r4",7363,7107,7008,7087 "ViennaCL 1.7.1 - Test: CPU BLAS - sCOPY", Higher Results Are Better "r1",1630,1840,1840,1850,1860,1880,1800,1830,1840,1840,1880,1870,1860,1850 "r1a",512,503,498 "r2b",479,677,651,718,708,717,769,707,735,773,590,571,757,777,741 "r3",1370,1060,1070,1060,1030,1110,1560,1580,964,1010,1070,1020,1080,1010,1030 "r4",1090,1590,1090,1060,1080,1040,1580,1080,1020,1080,1080,1040,1550,1060,1060 "ViennaCL 1.7.1 - Test: CPU BLAS - sAXPY", Higher Results Are Better "r1",927,1000,1000,1010,1020,1000,1020,1010,1020,999,1010,1010,1030,984 "r1a",347,365,399 "r2b",374,419,431,510,493,518,492,504,469,489,477,500,514,469,457 "r3",899,855,831,835,877,902,897,888,788,872,835,882,862,846,858 "r4",900,770,852,874,860,833,904,851,823,795,898,878,896,792,898 "ViennaCL 1.7.1 - Test: CPU BLAS - sDOT", Higher Results Are Better "r1",602,621,619,604,625,631,626,617,624,623,611,629,625,623 "r1a",259,274,299 "r2b",286,335,325,356,345,359,351,352,347,361,383,354,360,359,360 "r3",552,508,532,535,533,531,531,524,538,524,529,540,528,531,543 "r4",556,523,530,537,530,541,527,540,537,536,540,537,523,549,524 "ViennaCL 1.7.1 - Test: CPU BLAS - dCOPY", Higher Results Are Better "r1",891,523,872,785,863,879,878,862,870,880,876,871,871,877 "r1a",276,354,374 "r2b",448,262,392,375,359,500,498,526,432,515,486,13.5,501,527,499 "r3",989,981,973,581,947,943,946,996,961,924,907,790,931,932,898 "r4",916,981,907,880,836,950,940,968,959,941,940,958,959,953,955 "ViennaCL 1.7.1 - Test: CPU BLAS - dAXPY", Higher Results Are Better "r1",886,1100,1100,879,1070,1100,1110,1040,1100,1100,1050,1090,1090,1100 "r1a",349,398,428 "r2b",441,594,589,546,285,583,565,593,572,570,556,19.8,594,597,501 "r3",1170,525,1160,1150,1150,28.1,1130,1160,1140,1080,1090,1160,1170,1140,1110 "r4",1130,1200,1140,1160,1130,1160,1160,1170,1190,1170,1160,1150,1170,1160,1120 "ViennaCL 1.7.1 - Test: CPU BLAS - dDOT", Higher Results Are Better "r1",643,742,727,742,723,733,728,713,724,718,723,717,713,734 "r1a",353,323,438 "r2b",503,483,483,489,410,473,493,486,487,482,7.11,496,496,479 "r3",773,757,778,774,768,7.03,762,777,777,749,751,762,770,765,732 "r4",764,779,747,779,761,753,756,774,775,775,748,765,773,766,763 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-N", Higher Results Are Better "r1",72.1,73.7,73.1,70.8,69,72.5,71.6,71.5,72.2,73.6,74,71.7,72.7,73.6 "r1a",66.3,57.8,66.7 "r2b",67.5,64,66.1,65.8,67.6,66.5,65,66.1,65.3,65.4,66.9,10,66.9,66,66 "r3",69.2,70.7,61.1,70,70.1,11.1,59.3,71.2,70,69.9,67.3,62.3,72,70.1,70.3 "r4",68.7,70.7,69.6,70.4,70.8,72,71.2,70,69.2,70.5,69.8,68.5,71.2,70.1,70.4 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMV-T", Higher Results Are Better "r1",721,700,726,725,729,721,724,707,707,726,721,724,719 "r1a",309,326,321 "r2b",405,423,416,416,442,432,310,442,420,427,376,25.3,430,442,442 "r3",655,638,651,643,643,642,639,648,651,648,662,662,637,646,644 "r4",659,648,651,626,640,650,659,626,650,645,648,634,659,671,644 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NN", Higher Results Are Better "r1",78.2,69,77.8,63.8,66.2,67,76.6,78.1,76.8,72.4,69.7,78.7,77.5,77.7 "r1a",66.2,76.5,74.1 "r2b",56.7,55.2,73.6,60.3,51.6,60.5,56.6,73.9,65.7,73.4,58.1,57.1,59.7,73.4,53 "r3",80.2,58.3,60.1,68.9,56.7,72.5,72.1,70.9,74.3,53.9,61.4,53.6,75.9,69.2,68.3 "r4",70.1,81,66.3,73.7,69.8,75.1,55.9,74.7,74.6,75.4,56.7,72.8,77.1,77.1,61.4 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-NT", Higher Results Are Better "r1",78.6,67.4,79.5,61.8,79.1,62.9,76.9,80,79.8,81,78.6,78.9,78.9 "r1a",77.3,78.3,74.9 "r2b",59,57,58.4,60.1,57.9,59.3,55.7,60.5,68.8,59.1,57.9,54,62.2,70.2,56.9 "r3",69.5,76.5,60.5,72.4,59.1,75.3,72.5,61.2,75.2,76.8,55.4,58,76.5,72,72.4 "r4",75.1,82.5,78.5,74.4,68.6,74.9,55.8,77.2,60.4,77.1,60.3,75.6,76.5,72.5,76 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TN", Higher Results Are Better "r1",79.2,69.5,79.2,61.2,78.6,67.4,77.9,79,76.9,79.2,81.2,79.2,79.1 "r1a",78.6,77.3,76.2 "r2b",66.3,58.1,57.2,58.9,55.5,54.7,59,76.7,62.3,75.3,58.4,67,54.7,74.9,55.9 "r3",57.8,74.4,68.9,64.5,54.6,76,69.5,65.1,68.4,64.2,53.5,65.8,76.6,70.4,74.4 "r4",75.4,59.8,78.9,54.9,70.1,56,67.9,65.2,59.1,55.5,76.4,73.1,79.1,75 "ViennaCL 1.7.1 - Test: CPU BLAS - dGEMM-TT", Higher Results Are Better "r1",79.3,67.6,67.4,78.7,79.7,74.6,80.3,67.9,77.1,81.7,79.4,79.3,79 "r1a",78.2,78,75.4 "r2b",54.7,41.2,54.8,54.1,54.7,53.8,52.2,59.8,55.7,58.9,45.1,55.2,58.5,71.6,50.9 "r3",58,59.3,45.2,68.8,54.7,73.2,65.9,76.3,57.5,58.7,53.1,57,77,56.7,63.4 "r4",77,44.1,75.5,58.4,80.5,72.7,53.3,55.9,55.1,58.2,53.4,77,59.1,75.5,60.1 "VOSK Speech Recognition Toolkit 0.3.21 - ", Lower Results Are Better "r1",36.548,35.539,35.668 "r1a",36.861,34.795,35.038,34.709,33.957,34.749,35.034,34.93 "r2b",36.466,37.14,35.667 "r3",34.85,36.327,35.566 "r4",35.584,34.916,36.008 "Xcompact3d Incompact3d 2021-03-11 - Input: X3D-benchmarking input.i3d", Lower Results Are Better "r1",313.029144,314.142365,314.589844 "r1a",311.741974,312.143738,311.996643 "r2b",298.856293,313.580109,298.759003,314.957031,314.211517,315.812012,298.589508,313.979279,299.854218 "r3",405.536804,379.880096,379.824738,379.720673,380.088776,380.049103,379.124084,413.175629,380.110107 "r4",405.575928,379.862762,379.726868,403.759613,405.314545,379.787079,380.109222,387.394867,385.753632 "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 129 Cells Per Direction", Lower Results Are Better "r1",2.72907305,2.7554419,2.74661493 "r1a",2.74490404,2.70946789,2.76140094 "r2b",3.0646379,2.9696579,3.03416395 "r3",3.88579512,3.42467594,3.60775995,3.54738498,3.48593307,3.7785809,3.51588106,3.56394911,3.52526212,3.47814107,3.57293797,3.57484293,3.52811599,3.505723,3.49393296 "r4",3.71888399,3.49776411,3.58904696,3.49948812,3.79334998,3.50754189,3.768749,3.53882003,3.57522297,3.46669793,3.51553988,3.5214231,3.53856397,3.42180705,3.63882399 "Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 193 Cells Per Direction", Lower Results Are Better "r1",11.3969364,11.3131132,11.365757 "r1a",11.2190838,11.2765999,11.3224506 "r2b",11.6113081,11.5941162,11.479723 "r3",14.6404781,14.5531864,14.6012249 "r4",14.6550999,14.6316299,14.6865168 "Xmrig 6.12.1 - Variant: Monero - Hash Count: 1M", Higher Results Are Better "r1",19253,19324.8,19320.7 "r1a",19452.2,19487.5,19416.3 "r2b",19032,19347.6,19553.8 "r3",21081.5,20230.2,20647.1 "r4",21576.8,21757.6,20243.3,20920.5,21651.1,21123.8,19430.3,20232.7,22183.8,20129.2,19131.8,19546.1,19977.2,19841.3,20873.8 "Xmrig 6.12.1 - Variant: Wownero - Hash Count: 1M", Higher Results Are Better "r1",48880.6,48904.5,45934.8,47205.4,48813.8,48680.8,47940.9 "r1a",50609.8,49000.4,50888 "r2b",50147.9,50145.4,49431.5 "r3",49123.2,49992.5,50324.6 "r4",49566.3,49872.8,50372.8