AMD EPYC 7763 1P spec_rstack_overflow

Benchmarks by Michael Larabel for a future article looking at AMD Inception impact.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2308112-NE-EPYC7763124
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August 10 2023
  9 Hours, 10 Minutes
safe RET no microcode
August 09 2023
  9 Hours, 26 Minutes
safe RET
August 10 2023
  9 Hours, 17 Minutes
IBPB
August 10 2023
  8 Hours, 38 Minutes
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AMD EPYC 7763 1P spec_rstack_overflow, "SQLite 3.41.2 - Threads / Copies: 8", Lower Results Are Better "off",3.728,3.771,3.765 "safe RET no microcode",4.828,4.882,4.839 "safe RET",4.933,5.038,5.046 "IBPB",4.801,4.805,4.774 "SQLite 3.41.2 - Threads / Copies: 16", Lower Results Are Better "off",6.312,6.255,6.252 "safe RET no microcode",8.796,8.878,8.829 "safe RET",8.751,8.745,8.903 "IBPB",7.921,7.937,7.945 "NAMD 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "off",0.381111,0.381651,0.381144 "safe RET no microcode",0.381332,0.381533,0.380595 "safe RET",0.380433,0.381152,0.381365 "IBPB",0.385249,0.385829,0.384946 "Algebraic Multi-Grid Benchmark 1.2 - ", Higher Results Are Better "off",1012871000,1010145000,1012381000 "safe RET no microcode",999704200,998620000,1000612000 "safe RET",999465900,998367600,999472800 "IBPB",1006015000,1001812000,1007589000 "Timed MrBayes Analysis 3.2.7 - Primate Phylogeny Analysis", Lower Results Are Better "off",138.353,135.527,136.178 "safe RET no microcode",136.749,138.824,136.98 "safe RET",137.133,140.748,138.671 "IBPB",143.377,146.822,144.288 "OpenFOAM 10 - Input: drivaerFastback, Medium Mesh Size - Mesh Time", Lower Results Are Better "off", "safe RET no microcode", "safe RET", "IBPB", "OpenFOAM 10 - Input: drivaerFastback, Medium Mesh Size - Execution Time", Lower Results Are Better "off", "safe RET no microcode", "safe RET", "IBPB", "OpenRadioss 2022.10.13 - Model: Bumper Beam", Lower Results Are Better "off",88.32,87.65,87.19 "safe RET no microcode",93.57,93.83,93.63 "safe RET",93.85,93.9,93.94 "IBPB",114.15,113.49,113.41 "OpenRadioss 2022.10.13 - Model: Cell Phone Drop Test", Lower Results Are Better "off",33.1,33.28,32.91 "safe RET no microcode",36.11,36.9,36.11 "safe RET",36.46,36.37,36.38 "IBPB",39.97,39.97,40.38 "OpenRadioss 2022.10.13 - Model: Bird Strike on Windshield", Lower Results Are Better "off",144.9,144.91,144.69 "safe RET no microcode",151.57,153.5,153.65 "safe RET",150.93,152.44,153.43 "IBPB",159.28,162.35,160.48 "OpenRadioss 2022.10.13 - Model: Rubber O-Ring Seal Installation", Lower Results Are Better "off",77.76,77.01,77.61 "safe RET no microcode",85.16,84.71,85.26 "safe RET",84.1,84.92,84.41 "IBPB",99.54,99.2,98.38 "OpenRadioss 2022.10.13 - Model: INIVOL and Fluid Structure Interaction Drop Container", Lower Results Are Better "off",162.15,162.4,161.85 "safe RET no microcode",162.91,163.75,162.41 "safe RET",164.31,164.61,162.99 "IBPB",171.89,171.96,171.41 "Remhos 1.0 - Test: Sample Remap Example", Lower Results Are Better "off",17.717,17.481,16.926 "safe RET no microcode",17.54,17.716,18.108 "safe RET",18.093,18.201,17.581 "IBPB",18.834,17.796,19.249,19.02,18.317,19.082,18.043,18.982,19.107,18.598,18.215,19.154,18.511,18.31 "SPECFEM3D 4.0 - Model: Mount St. Helens", Lower Results Are Better "off",11.703997891,11.824318062,11.875400244 "safe RET no microcode",11.895216611,11.920239969,12.1310338 "safe RET",11.94184766,12.057396454,12.031898228 "IBPB",11.862410162,11.979833343,12.012102226 "SPECFEM3D 4.0 - Model: Layered Halfspace", Lower Results Are Better "off",31.397804984,32.527497606,31.611588681 "safe RET no microcode",31.929801423,31.38891465,32.169069536 "safe RET",31.527915753,32.020731169,31.431175734 "IBPB",32.045351013,31.625809368,32.358126045 "SPECFEM3D 4.0 - Model: Tomographic Model", Lower Results Are Better "off",14.218982202,14.228051695,13.955762922 "safe RET no microcode",14.277112458,14.236495553,14.699649703 "safe RET",14.330260634,13.787286821,14.446629431 "IBPB",14.306115963,14.073265898,14.29809382 "SPECFEM3D 4.0 - Model: Homogeneous Halfspace", Lower Results Are Better "off",17.44100621,17.532433827,17.277922761 "safe RET no microcode",18.094591708,17.331754493,17.28138647,17.866988918 "safe RET",17.439727968,18.114035056,17.517132927 "IBPB",17.849081013,17.751322222,17.487339722 "SPECFEM3D 4.0 - Model: Water-layered Halfspace", Lower Results Are Better "off",30.047033906,29.54951149,29.721060761 "safe RET no microcode",30.926566554,30.197752811,30.158275762 "safe RET",29.899250511,28.901978915,29.971375355 "IBPB",30.434133353,29.834252812,29.89311826 "DaCapo Benchmark 9.12-MR1 - Java Test: Jython", Lower Results Are Better "off",4164,4175,4186,4245 "safe RET no microcode",4331,4129,4140,4163 "safe RET",4268,4148,4369,4177 "IBPB",4347,4720,4324,4336,4750,4331,4413,4325,4316,4308,4340,4711,4319,4319,4467,4460,4350,4351,4712,4728 "DaCapo Benchmark 9.12-MR1 - Java Test: Tradebeans", Lower Results Are Better "off",3925,4069,4064,3913 "safe RET no microcode",4205,4059,4122,3997 "safe RET",4068,4133,4194,4177 "IBPB",5279,5439,5332,5169 "Embree 4.1 - Binary: Pathtracer ISPC - Model: Crown", Higher Results Are Better "off",57.4692,57.2604,57.539 "safe RET no microcode",57.0455,57.3066,57.5348 "safe RET",57.4476,57.0148,57.479 "IBPB",57.1646,57.4889,57.2366 "Embree 4.1 - Binary: Pathtracer ISPC - Model: Asian Dragon", Higher Results Are Better "off",64.5952,64.6391,64.5549 "safe RET no microcode",64.486,64.2202,64.4686 "safe RET",64.7234,64.6718,64.6275 "IBPB",63.2506,63.7421,63.4078 "ACES DGEMM 1.0 - Sustained Floating-Point Rate", Higher Results Are Better "off",23.015844,24.010355,24.691379,24.092872,24.427907,24.999723,24.352078,24.01425 "safe RET no microcode",24.073829,24.761335,25.252291 "safe RET",22.909914,24.315163,23.324502,24.166587,23.798279 "IBPB",24.156087,24.157835,24.440499 "OpenVKL 1.3.1 - Benchmark: vklBenchmark ISPC", Higher Results Are Better "off",452,453,454 "safe RET no microcode",451,452,453 "safe RET",453,453,453 "IBPB",451,449,449 "OSPRay 2.12 - Benchmark: particle_volume/ao/real_time", Higher Results Are Better "off",18.05,17.9972,18.0206 "safe RET no microcode",18.0189,18.0207,18.0469 "safe RET",18.016,18.0265,17.9027 "IBPB",17.9639,17.9566,17.9785 "OSPRay 2.12 - Benchmark: particle_volume/scivis/real_time", Higher Results Are Better "off",17.7463,17.7715,17.7355 "safe RET no microcode",17.7639,17.7299,17.6977 "safe RET",17.7194,17.7534,17.7186 "IBPB",17.6689,17.687,17.6669 "OSPRay 2.12 - Benchmark: particle_volume/pathtracer/real_time", Higher Results Are Better "off",157.412,158.099,157.977 "safe RET no microcode",151.499,156.934,157.062 "safe RET",156.364,156.343,156.55 "IBPB",152.629,154.085,153.604 "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/ao/real_time", Higher Results Are Better "off",9.00734,8.95018,8.92402 "safe RET no microcode",9.02476,8.92447,8.95901 "safe RET",8.91426,8.96455,8.94266 "IBPB",8.88241,8.92863,8.86613 "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time", Higher Results Are Better "off",8.32344,8.34901,8.32277 "safe RET no microcode",8.30865,8.31326,8.36057 "safe RET",8.32512,8.35911,8.33017 "IBPB",8.26978,8.29932,8.22738 "OSPRay 2.12 - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time", Higher Results Are Better "off",13.2564,13.2717,12.8785 "safe RET no microcode",13.2591,13.2695,13.2578 "safe RET",13.2515,13.2455,13.2643 "IBPB",13.171,13.1739,13.1677 "7-Zip Compression 22.01 - Test: Compression Rating", Higher Results Are Better "off",383997,386297,382829 "safe RET no microcode",334848,334763,334825 "safe RET",336459,335069,335258 "IBPB",371481,372290,371627 "7-Zip Compression 22.01 - Test: Decompression Rating", Higher Results Are Better "off",387164,385320,384271 "safe RET no microcode",382292,383541,383283 "safe RET",383060,382770,384714 "IBPB",385646,385931,384883 "Timed Godot Game Engine Compilation 4.0 - Time To Compile", Lower Results Are Better "off",121.673,122.306,121.865 "safe RET no microcode",125.006,125.895,126.089 "safe RET",125.457,125.104,124.62 "IBPB",136.057,136.03,135.799 "Timed Linux Kernel Compilation 6.1 - Build: defconfig", Lower Results Are Better "off",32.554,30.751,30.967,30.929,30.759 "safe RET no microcode",39.387,37.28,37.29,37.317,37.206,37.257 "safe RET",39.094,36.799,36.849,36.941,36.859,36.915 "IBPB",42.298,39.859,39.63,39.558,39.724,39.762,39.762 "Timed Linux Kernel Compilation 6.1 - Build: allmodconfig", Lower Results Are Better "off",289.967,288.926,288.296 "safe RET no microcode",346.038,343.288,343.399 "safe RET",339.738,337.387,337.345 "IBPB",353.593,351.242,351.7 "Timed LLVM Compilation 16.0 - Build System: Ninja", Lower Results Are Better "off",176.545,176.182,176.396 "safe RET no microcode",181.939,182.292,182.275 "safe RET",181.497,181.805,181.282 "IBPB",204.318,203.693,204.229 "Timed Node.js Compilation 19.8.1 - Time To Compile", Lower Results Are Better "off",163.986,164.4,164.417 "safe RET no microcode",172.703,172.975,172.569 "safe RET",172.963,173.089,173.14 "IBPB",195.587,195.713,195.179 "Numpy Benchmark - ", Higher Results Are Better "off",454.44,456.78,460.48 "safe RET no microcode",419.63,422.04,415.18 "safe RET",422.69,423.97,421.08 "IBPB",391.63,387.85,390.29 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, First Run / Cold Cache", Higher Results Are Better "off",350.72259217306,348.443377657,349.11943131149 "safe RET no microcode",314.64408131137,329.89918201919,316.90643278582,331.59182981345,324.04687695447 "safe RET",318.20053842361,323.17814722076,312.97942921908 "IBPB",337.3187625367,331.48930906774,341.24984627338 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Second Run", Higher Results Are Better "off",361.40135479653,359.57814917557,364.4569967575 "safe RET no microcode",337.63222031744,334.41050308191,343.3233739594,330.55438626554,339.12467396233 "safe RET",344.98208257234,338.14391062611,328.22607528753 "IBPB",343.86734952961,351.43238459776,348.45035430046 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Third Run", Higher Results Are Better "off",365.41171585619,364.22241363207,358.27632578464 "safe RET no microcode",335.26286689507,319.58548033373,334.54075546217,333.51512876882,323.02975676353 "safe RET",339.25490577457,333.7566693975,339.33446857045 "IBPB",353.74802490267,346.24392142547,348.51845220169 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time", Lower Results Are Better "off",3.5352550280004,3.4941570049996,3.1794828850016,3.3922867710007,3.3768690479992,3.3479508229993,3.3149542310002,3.3429899389994,3.4761449760008,3.5017178559992,3.4030525130001,3.5010706849989,3.3361130490011,3.3226605479995,3.2888637380001 "safe RET no microcode",3.3384087039994,3.4555637980011,3.4768257959986 "safe RET",3.3800592820007,3.5296305359989,3.4859662039999 "IBPB",3.6460997449994,3.804936692999,3.6850320940011 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark", Lower Results Are Better "off",31.550002684,32.529239822001,31.742557631,31.663946144999,32.369217933001,30.616420174001,31.586989695001,32.073356249,31.847164638,32.440480527999,31.954992857001,31.821435438,31.334707512,32.150698296,31.974400531999 "safe RET no microcode",32.03689555,32.039151909999,31.996577113001 "safe RET",31.538931105,31.943218951001,30.807987112001 "IBPB",31.441807071,31.172464104,31.857636471001 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Group By Test Time", Lower Results Are Better "off",4.8353883050004,4.9480834719998,4.8097925290003,4.7787812810002,4.9794579210011,4.8460884260003,5.1205681929987,5.0273876600004,4.9897671409999,4.8138239639993,5.1627058869999,4.719907405999,4.7283601170002,4.9974440819988,4.9657145550009 "safe RET no microcode",4.9967665179993,5.2380452329999,5.2628607280003 "safe RET",5.2870788359996,5.0871288409999,5.0609645620007 "IBPB",5.6262301499992,5.809177526,5.7970967600013 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Repartition Test Time", Lower Results Are Better "off",1.7824376539993,2.1366986499997,1.9390763170013,2.0439846659992,2.151167140999,2.2520055389996,2.0380222340009,2.4004435610004,2.0205369809992,2.2490623189988,1.9470453590002,2.2030916120002,1.8629248399993,2.193012017,2.0618093759986 "safe RET no microcode",2.3640328879992,2.315012776,2.4468554789983 "safe RET",2.3370272529992,2.2000392650007,2.2499649519996 "IBPB",2.3453216170001,2.0870729220005,2.4834552720004 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time", Lower Results Are Better "off",1.8945434950001,1.8256149489989,1.9526977750011,1.9895823480001,1.9032472930012,1.7645698389988,1.770334406001,1.8037504270014,1.8653389760002,1.8650768560001,2.0336054620002,1.8120266909991,1.9865651119999,1.9465616449997,1.8185513640001 "safe RET no microcode",2.1841394170006,2.3129512060004,2.1572078059999 "safe RET",2.0316790489996,2.2294688389993,2.1497162409996 "IBPB",2.3752964890009,2.3697047639998,2.4877322899993 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time", Lower Results Are Better "off",1.2795073830002,1.2673381589993,1.3096797430007,1.3182826669999,1.2911864119997,1.3260193009992,1.3272571839989,1.3084499340002,1.3239146010001,1.3241079449999,1.2890715530011,1.3280099809999,1.2969874280006,1.3421087539991,1.2085568330003 "safe RET no microcode",1.3534978710013,1.4220588330008,1.4013968850013 "safe RET",1.4175364809998,1.3945856129994,1.4167008900004 "IBPB",1.5856203299991,1.6415422570008,1.7032712050004 "CockroachDB 22.2 - Workload: KV, 50% Reads - Concurrency: 128", Higher Results Are Better "off",103396.2,104185.1,103323.6 "safe RET no microcode",95964.6,102823.9,100781.4,95336.7,101021.2,101523.2,102251,102612,102585.5,102818.8,102535.8,95514.9,102520,102486.1,101995.4 "safe RET",95947.1,95530.2,103339,96635.5,103031.6,94484.6,103312.7,96880.9,103761.8,95273.5,96939.4,100998.1,104102.2,102664,101122.7 "IBPB",94857.6,95355.3,96035 "CockroachDB 22.2 - Workload: KV, 95% Reads - Concurrency: 128", Higher Results Are Better "off",134048.3,134480.9,137032.5 "safe RET no microcode",132404.7,131873.4,119429.1,132581.2,131279.9,132839.3,131549.8,133696,131083.9,132972.2,131877.7,134741.4,133001.9 "safe RET",133214.4,118979.9,131451.1,134321.8,135006.2,134211.9,136521,133768.4,133642.2,133227.9,119551.3,133490.6,137017.8,133871,132414 "IBPB",119836.6,119229.3,118425.6 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200", Higher Results Are Better "off",946691.86,958981.72,975903.41 "safe RET no microcode",883808.72,954436.14,943485.83,977771.92,946076.82,944390.59,946867.7,972547.83,950302.06,964030.14,946306.98,942871.31 "safe RET",864575.22,928651.54,920172.34,932548.3,929149.48,922531.93,917857.01,934045.79 "IBPB",865252.37,934484.58,938626.1,922886.56,919156.97,933016.18,935305.23,932725.26,913859.73 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200", Lower Results Are Better "off",14.15,13.84,13.49 "safe RET no microcode",15.42,13.57,14.23,13.26,14.19,14.14,14.22,13.65,13.85,13.66,14.23,14.21 "safe RET",16.13,14.62,14.8,14.36,14.46,14.44,14.73,14.31 "IBPB",16.2,14.53,14.47,14.67,14.9,14.53,14.53,14.33,14.84 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500", Higher Results Are Better "off",1276928.61,1281852.85,1257058.24 "safe RET no microcode",1344879.58,1339660.31,1341553.44 "safe RET",1331687.88,1362933.6,1342174.3 "IBPB",1251210.76,1318965.85,1294429.03,1284691.77 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500", Lower Results Are Better "off",32.18,32.06,32.84 "safe RET no microcode",30.27,30.28,30.32 "safe RET",30.48,29.72,30.22 "IBPB",32.9,30.92,31.48,31.66 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200", Higher Results Are Better "off",1174846.21,1174791.12,1179518.72 "safe RET no microcode",1189899.11,1211677.38,1206335.59 "safe RET",1216223.05,1202718.97,1214574.37 "IBPB",1338984.15,1349899.78,1345363.67 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200", Lower Results Are Better "off",14.14,14.08,13.92 "safe RET no microcode",13.85,13.35,13.64 "safe RET",13.64,13.43,13 "IBPB",12.14,11.69,11.95 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500", Higher Results Are Better "off",1407198.52,1420674.82,1419395.65 "safe RET no microcode",1383370.18,1426746.81,1415859.49 "safe RET",1581276.37,1576407.98,1593468.52 "IBPB",1429226.55,1443527.66,1452158.67 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500", Lower Results Are Better "off",31.68,31.87,30.93 "safe RET no microcode",32.64,32.17,30.99 "safe RET",27.29,27.91,27.99 "IBPB",31.75,30.54,31.05 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200", Higher Results Are Better "off",48839350.56,48520395.17,44074889.56,43242754.89,42388998.08,42561942.21,42570145.82,44455987.07,42340899.15,41847296.2,44149901.13,44026473.95,42151696.27,42138118.91,41678845.28 "safe RET no microcode",47617610.07,46508333.39,45490354.57 "safe RET",49796065.45,47348105.22,45617466.88,43264932.35,43880452.89,43988400.87,44040738.28,43128727.53,43759561.79,42444679.25,41843664.04,43048883.61,43271558.6,42169413.21,42815923.31 "IBPB",44903873.99,45014825.68,44530484.55 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200", Lower Results Are Better "off",33.03,33.25,37.07,38.29,39.05,38.49,38.56,36.35,38.42,39.29,37.16,37.4,39.41,39.63,40.15 "safe RET no microcode",34.01,35.14,36.15 "safe RET",32.35,34.5,35.89,38.25,37.57,37.33,37.03,38.09,37.57,39.47,40.13,38.75,38.22,39.25,38.49 "IBPB",36.97,35.86,36.57 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500", Higher Results Are Better "off",41886084.44,38753956.16,38643320.05,40010738.65,39701627.55,39169695.36,39062766.07,39056384.55,38802485.58,39552755.8 "safe RET no microcode",39046914.4,37724103.59,36597805.65,37435603.92,37796159.44 "safe RET",42588789.87,39051840.13,38596594.32,38429063.69,37989467.81,37915111.75,38799220.62,38880986.14,39044680.82,39082521.97,38224435.7,37979161.2,38531614.84,38349245.32,39038505.34 "IBPB",40725347.03,38239380.36,37890224.82,38591219.03,38334161.03,37803376.08,38766762.33,38229765.83 "Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500", Lower Results Are Better "off",110.59,121.04,120.3,116.48,116.95,119.19,118.33,119.29,120.23,117.33 "safe RET no microcode",118.67,124.04,128.27,125.39,121.67 "safe RET",108.99,119.75,120.31,120.93,122.87,123.79,119.85,120.1,119.28,119.71,121.52,122.51,120.88,120.84,119.6 "IBPB",113.65,122.48,123.64,119.22,120.73,123.47,119,122.05 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200", Higher Results Are Better "off",50865035.9,48804741.77,48834719.71 "safe RET no microcode",47603276.95,47151791.15,47582242.45 "safe RET",51828249.94,50141987.03,49765042.65 "IBPB",49697691.29,50142223.86,48110995.7 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200", Lower Results Are Better "off",35.38,37.4,36.97 "safe RET no microcode",38.34,38.7,38.58 "safe RET",34.91,35.98,36.58 "IBPB",36.17,36.06,37.44 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500", Higher Results Are Better "off",57058771.65,59652361.13,59336721.76 "safe RET no microcode",59855248.2,56741685.82,57842080.35,57855052.8 "safe RET",55733288.6,58183447.8,57381488.05 "IBPB",57085558.68,58015677.44,57486368.14 "Apache IoTDB 1.1.2 - Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500", Lower Results Are Better "off",82.72,78.7,75.33 "safe RET no microcode",76.84,80.28,79.39,80.24 "safe RET",84.79,81.37,80.57 "IBPB",79.98,81.42,80.94 "GROMACS 2023 - Implementation: MPI CPU - Input: water_GMX50_bare", Higher Results Are Better "off",5.687,5.657,5.697 "safe RET no microcode",5.733,5.738,5.719 "safe RET",5.718,5.715,5.686 "IBPB",5.7,5.729,5.691 "MariaDB 11.0.1 - Clients: 4096", Higher Results Are Better "off",599.8800239952,581.05752469495,588.23529411765 "safe RET no microcode",415.62759767249,405.84415584416,413.39396444812 "safe RET",416.14648356221,412.37113402062,424.26813746288 "IBPB",274.64982147762,272.4795640327,274.57440966502 "MariaDB 11.0.1 - Clients: 8192", Higher Results Are Better "off",350.87719298246,351.61744022504,361.27167630058 "safe RET no microcode",301.11412225233,299.9400119976,302.48033877798 "safe RET",300.3003003003,298.59659599881,302.66343825666 "IBPB",274.9518834204,277.08506511499,276.16680475007 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Only", Higher Results Are Better "off",3131390.613658,3125547.691592,3129219.662363 "safe RET no microcode",2758849.908834,2657915.501225,2705075.925253 "safe RET",2749093.373428,2835092.809454,2721147.594636 "IBPB",1739118.404117,1733587.823022,1728773.650097 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency", Lower Results Are Better "off",0.255,0.256,0.256 "safe RET no microcode",0.29,0.301,0.296 "safe RET",0.291,0.282,0.294 "IBPB",0.46,0.461,0.463 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Write", Higher Results Are Better "off",62116.639253,61921.415271,60774.107896 "safe RET no microcode",55059.26985,55288.867023,55176.252545 "safe RET",54732.828671,54540.392993,55237.054047 "IBPB",50207.708796,50658.077039,50522.537442 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency", Lower Results Are Better "off",12.879,12.92,13.164 "safe RET no microcode",14.53,14.469,14.499 "safe RET",14.616,14.668,14.483 "IBPB",15.934,15.792,15.835 "TensorFlow 2.12 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "off",17.8,17.87,17.67 "safe RET no microcode",15.58,15.57,15.53 "safe RET",15.65,15.7,15.6 "IBPB",17.48,17.5,17.38 "Neural Magic DeepSparse 1.5 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "off",37.6033,37.565,37.6428 "safe RET no microcode",37.559,37.7762,37.7609 "safe RET",37.7721,37.6213,37.5024 "IBPB",37.7407,37.8086,37.4961 "Neural Magic DeepSparse 1.5 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "off",839.7962,838.8203,840.5437 "safe RET no microcode",840.1096,841.3335,840.8733 "safe RET",840.9085,840.5904,839.7718 "IBPB",841.1939,841.6085,839.8619 "Neural Magic DeepSparse 1.5 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "off",488.063,484.9734,488.6987 "safe RET no microcode",485.0341,483.3238,486.6628 "safe RET",488.6781,485.389,488.0359 "IBPB",487.7755,482.8139,486.4633 "Neural Magic DeepSparse 1.5 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "off",65.4592,65.895,65.4192 "safe RET no microcode",65.8595,66.1419,65.6715 "safe RET",65.3871,65.8805,65.431 "IBPB",65.4896,66.1693,65.6713 "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "off",468.3794,469.2017,468.9106 "safe RET no microcode",468.8437,467.5325,468.7175 "safe RET",467.6628,468.2718,468.7165 "IBPB",466.4545,467.7671,467.7234 "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "off",68.1831,68.1128,68.1489 "safe RET no microcode",68.2169,68.3436,68.2181 "safe RET",68.3107,68.2315,68.1554 "IBPB",68.4889,68.2747,68.2733 "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "off",3833.0984,3849.4249,3839.3689 "safe RET no microcode",3811.2488,3832.013,3807.0409 "safe RET",3824.3906,3819.6846,3858.6566 "IBPB",3810.7916,3837.8579,3825.8797 "Neural Magic DeepSparse 1.5 - Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "off",8.3216,8.2895,8.3124 "safe RET no microcode",8.3728,8.3283,8.3826 "safe RET",8.3446,8.3531,8.268 "IBPB",8.3741,8.3085,8.3408 "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "off",46.7598,46.4973,46.8488 "safe RET no microcode",46.5917,46.8614,46.7187 "safe RET",46.5774,46.5136,46.6121 "IBPB",46.6498,46.5729,46.6137 "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "off",676.5684,680.5988,679.6319 "safe RET no microcode",681.2281,676.6413,680.8603 "safe RET",682.9212,680.2977,683.4024 "IBPB",679.5237,683.4691,681.1956 "Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "off",53.5739,53.6041,53.6125 "safe RET no microcode",53.5599,53.6318,53.5998 "safe RET",53.603,53.565,53.5506 "IBPB",53.5843,53.5993,53.551 "Neural Magic DeepSparse 1.5 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "off",596.957,596.4157,596.4017 "safe RET no microcode",597.0129,596.1008,596.5599 "safe RET",596.5909,596.9554,596.8002 "IBPB",596.7954,596.6777,596.8975 "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "off",576.218,577.7424,576.9563 "safe RET no microcode",576.2978,577.5686,577.3104 "safe RET",577.595,576.4159,576.439 "IBPB",577.6119,574.8465,574.7421 "Neural Magic DeepSparse 1.5 - Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "off",55.4632,55.3116,55.4017 "safe RET no microcode",55.4499,55.3388,55.3355 "safe RET",55.3484,55.4304,55.4296 "IBPB",55.3445,55.581,55.5822 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5", Higher Results Are Better "off",2189926.32,2228311.49,2195648.94 "safe RET no microcode",2159310.73,2265913.81,2230580.84 "safe RET",2148705.85,2145015.67,2142587.25 "IBPB",2120066.68,2049564.76,2108901.22 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5", Higher Results Are Better "off",2206926.26,2216530.54,2168405.11 "safe RET no microcode",2202543.45,2151324.51,2147675.3 "safe RET",2153587.09,2145014.74,2136554.6 "IBPB",2124767.59,2128013.94,2126698.33 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10", Higher Results Are Better "off",2205357.52,2170065.43,2156212.45 "safe RET no microcode",2153012.39,2159038.86,2209033.06 "safe RET",2167915.52,2175492.36,2175006.24 "IBPB",2161161.81,2138348.08,2114385.05 "Redis 7.0.12 + memtier_benchmark 2.0 - Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10", Higher Results Are Better "off",2256116.92,2164595.39,2166404.22 "safe RET no microcode",2034080.5,2148487.86,2136916.48,2207873.5,2171597.31,2177054.86,2178817.05,2224831.24,2141998.32,2121735.45 "safe RET",2156425.09,2159170.38,2157851.59 "IBPB",2141846.29,2131391.13,2173390.68 "Blender 3.6 - Blend File: BMW27 - Compute: CPU-Only", Lower Results Are Better "off",27.29,27.32,27.42 "safe RET no microcode",27.67,27.48,27.6 "safe RET",27.41,27.57,27.41 "IBPB",27.7,27.75,27.74 "Blender 3.6 - Blend File: Pabellon Barcelona - Compute: CPU-Only", Lower Results Are Better "off",84.76,84.34,84.41 "safe RET no microcode",84.71,84.64,84.71 "safe RET",84.58,84.44,84.46 "IBPB",85.54,85.72,85.64 "OpenVINO 2022.3 - Model: Person Detection FP16 - Device: CPU", Higher Results Are Better "off",7.66,7.67,7.72 "safe RET no microcode",7.56,7.58,7.6 "safe RET",7.62,7.59,7.6 "IBPB",7.48,7.45,7.45 "OpenVINO 2022.3 - Model: Person Detection FP16 - Device: CPU", Lower Results Are Better "off",4104.39,4110.53,4063.82 "safe RET no microcode",4137.54,4122.66,4114.01 "safe RET",4094.92,4132.03,4116.79 "IBPB",4185.9,4222.47,4204.66 "OpenVINO 2022.3 - Model: Face Detection FP16-INT8 - Device: CPU", Higher Results Are Better "off",27.81,27.82,27.85 "safe RET no microcode",27.83,27.77,27.78 "safe RET",27.82,27.83,27.82 "IBPB",27.68,27.69,27.75 "OpenVINO 2022.3 - Model: Face Detection FP16-INT8 - Device: CPU", Lower Results Are Better "off",1140.8,1141.64,1141.84 "safe RET no microcode",1142.81,1142.12,1141.94 "safe RET",1144.71,1141.61,1141.27 "IBPB",1144.81,1144.36,1145.77 "OpenVINO 2022.3 - Model: Weld Porosity Detection FP16 - Device: CPU", Higher Results Are Better "off",1125.72,1126.1,1126.28 "safe RET no microcode",1125.62,1128.02,1126.28 "safe RET",1125.99,1126.4,1126.04 "IBPB",1116.1,1117.18,1117.4 "OpenVINO 2022.3 - Model: Weld Porosity Detection FP16 - Device: CPU", Lower Results Are Better "off",28.41,28.39,28.39 "safe RET no microcode",28.41,28.34,28.39 "safe RET",28.4,28.39,28.39 "IBPB",28.64,28.61,28.61 "Apache Cassandra 4.1.3 - Test: Writes", Higher Results Are Better "off",239566,238273,238384 "safe RET no microcode",234933,231812,232463 "safe RET",236106,235485,237131 "IBPB",220344,220942,221155 "RocksDB 8.0 - Test: Update Random", Higher Results Are Better "off",460751,462262,463847 "safe RET no microcode",428168,428821,427346 "safe RET",427191,427067,426583 "IBPB",322444,322071,322179 "RocksDB 8.0 - Test: Read Random Write Random", Higher Results Are Better "off",2850170,2971854,3013789,2970922 "safe RET no microcode",2890783,2892045,2835466 "safe RET",2851512,2869236,2796507 "IBPB",2131451,2142867,2115700 "nginx 1.23.2 - Connections: 500", Higher Results Are Better "off",170130.08,169172.42,169446.95 "safe RET no microcode",144549.18,143936.85,143574.05 "safe RET",143122.64,142339.44,142397.45 "IBPB",137571.47,136858.57,136725.04 "nginx 1.23.2 - Connections: 1000", Higher Results Are Better "off",167179.63,165943.52,166376.51 "safe RET no microcode",141161.95,140566.36,139939.64 "safe RET",143879.54,143102.54,142831.71 "IBPB",135910.73,135256.64,135127.01 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "IBPB",2.6654110350009,2.7091507900004,2.4374868760005