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
AMD EPYC 7763 1P spec_rstack_overflow,
"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
"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
"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: 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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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",
"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 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 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
"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
"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
"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
"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
"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
"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 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
"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
"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
"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
"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
"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
"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
"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
"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
"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
"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