2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED 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 2105012-IB-XEONPLATI04
xeon-platinum-8380-2p-smoke-run ,
"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: 250",
Higher Results Are Better
"r1",61386,56099,52437,53895,56741,54203,55325,54336,54311
"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
"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: 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: 250",
Higher Results Are Better
"r1",69370,65276,63475,62793,63864,60366,60179,62672,61513
"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: 250",
Higher Results Are Better
"r1",74978,65269,70475,66320,70780,68995,69566,64626,70476
"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: 16 - Warehouses: 500",
Higher Results Are Better
"r1",67399,63790,61368,67359,68531,60466,60788,64274,66318
"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: 32 - Warehouses: 500",
Higher Results Are Better
"r1",73528,68118,67014,73212,67721,67134,65437,68220,68974
"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
"MariaDB 10.5.2 - Clients: 128",
Higher Results Are Better
"r2b",190.76688286913,192.93845263361,191.38755980861
"r3",188.82175226586,189.57345971564,190.00570017101
"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: 64 - Warehouses: 500",
Higher Results Are Better
"r1",63978,65496,63421
"r1a",65393,65734,62571,61278,60603,61441,62236,62729,58815
"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
"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
"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: 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: 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: 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: 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
"MariaDB 10.5.2 - Clients: 64",
Higher Results Are Better
"r2b",403.06328093511,403.22580645161,401.28410914928
"r3",403.87722132472,403.38846308996,403.38846308996
"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
"CP2K Molecular Dynamics 8.1 - Input: Fayalite-FIST",
Lower Results Are Better
"r2a",
"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: 250",
Higher Results Are Better
"r1",63951,62144,65175
"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
"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: 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: 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
"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: 250",
Higher Results Are Better
"r1",97114,95186,95004
"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: 8 - Warehouses: 500",
Higher Results Are Better
"r1",95195,94942,93000
"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
"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
"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: 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: 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: 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
"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
"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
"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
"MariaDB 10.5.2 - Clients: 32",
Higher Results Are Better
"r2b",884.95575221239,884.1732979664,884.95575221239
"r3",883.39222614841,887.31144631766,889.67971530249
"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
"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
"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
"MariaDB 10.5.2 - Clients: 16",
Higher Results Are Better
"r2b",1267.4271229404,1261.0340479193,1264.2225031606
"r3",1259.4458438287,1257.8616352201,1269.0355329949
"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
"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
"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: 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 - 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 - 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 - 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
"MariaDB 10.5.2 - Clients: 8",
Higher Results Are Better
"r2b",1398.6013986014,1406.4697609001,1434.7202295552
"r3",1414.4271570014,1426.5335235378,1418.4397163121
"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
"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
"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
"MariaDB 10.5.2 - Clients: 4",
Higher Results Are Better
"r2b",1582.2784810127,1633.9869281046,1626.0162601626
"r3",1592.3566878981,1567.3981191223,1579.7788309637
"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
"GNU GMP GMPbench 6.2.1 - Total Time",
Higher Results Are Better
"r1",
"r1a",
"r2b",
"r3",
"r4",
"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
"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
"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
"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-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-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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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
"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
"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
"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
"Sysbench 1.0.20 - Test: CPU",
Higher Results Are Better
"r2b",213716.29,214452.17,214464.03
"r4",213702.33,214508.57,214513.12
"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
"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
"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 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: 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: 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 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: 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
"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
"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
"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
"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
"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: 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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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: 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
"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
"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
"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
"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
"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
"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: 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: 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: 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: 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: 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: 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: 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: 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
"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
"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
"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
"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 - 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 - 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 - 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
"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: 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
"Helsing 1.0-beta - Digit Range: 14 digit",
Lower Results Are Better
"r1",
"r1a",
"r2b",
"r3",
"r4",
"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
"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
"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
"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
"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
"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: 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
"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
"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
"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
"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: 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: 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: 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: 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: 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: 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: 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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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: 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
"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
"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
"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: 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
"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
"Google Draco 1.4.1 - Model: Church Facade",
Lower Results Are Better
"r2b",7041,6980,6982
"r4",7085,7075,7085
"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
"Google Draco 1.4.1 - Model: Lion",
Lower Results Are Better
"r2b",6103,6098,6176
"r4",6132,6205,6174
"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++ 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
"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
"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
"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: 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: 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
"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-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