Benchmarks by Michael Larabel for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2212240-NE-AMDEPYCGE62
AMD EPYC Genoa Memory Scaling,
"DaCapo Benchmark 9.12-MR1 - Java Test: H2",
Lower Results Are Better
"12c",4382,5230,4892,4664,4979,4444,4801,4901,4898,4997,5082,4932,4917,5020,4843,4700,4612,4870,4420,4461
"10c",4973,4753,4740,5219,4741,4846,4784,4944,4366,4827,4793,4899,4953,4975,4772,4517,4778,4844,4939,4967
"8c",4926,4981,4736,4201,4659,4728,4848,4960,4695,4668,4661,4779,4898,4861,4730,4547,4892,4692,4522,4640
"6c",4880,4541,4968,4813,4814,4914,4890,4614,4759,5021,4486,4875,4984,4853,4622,4989,4794,5012,5022,4741
"DaCapo Benchmark 9.12-MR1 - Java Test: Jython",
Lower Results Are Better
"12c",3303,3436,3413,3369
"10c",3294,3308,3335,3378
"8c",3307,3402,3315,3453
"6c",3297,3331,3399,3352
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 96000 - Buffer Size: 1024",
Higher Results Are Better
"12c",4.37353,4.365395,4.298746
"10c",4.374213,4.338674,4.35078
"8c",4.366728,4.338965,4.348514
"6c",4.360509,4.367103,4.36669
"Stargate Digital Audio Workstation 22.11.5 - Sample Rate: 192000 - Buffer Size: 1024",
Higher Results Are Better
"12c",2.825912,2.832535,2.828737
"10c",2.773599,2.832499,2.812471
"8c",2.834949,2.772869,2.826848
"6c",2.817552,2.831581,2.82531
"ASTC Encoder 4.0 - Preset: Thorough",
Higher Results Are Better
"12c",106.4736,106.5638,106.6614
"10c",106.8771,106.9262,106.7592
"8c",107.0993,107.1783,107.0549
"6c",106.4557,106.3725,106.7003
"ASTC Encoder 4.0 - Preset: Exhaustive",
Higher Results Are Better
"12c",11.7786,11.6956,11.7009
"10c",11.7646,11.7623,11.7643
"8c",11.7974,11.8129,11.8167
"6c",11.8179,11.8201,11.8242
"Xmrig 6.18.1 - Variant: Monero - Hash Count: 1M",
Higher Results Are Better
"12c",104373.2,104188.4,105252.1
"10c",102480,102901.8,102417
"8c",102427.5,102239,101194.1
"6c",100694.8,100623.9,100020
"Xmrig 6.18.1 - Variant: Wownero - Hash Count: 1M",
Higher Results Are Better
"12c",125125.1,126230.7,128041
"10c",127242.7,127339.9,127097.1
"8c",126935.8,126984.1,127323.7
"6c",125360.4,126454.2,126358.4
"Graph500 3.0 - Scale: 26",
Higher Results Are Better
"12c",
"10c",
"8c",
"6c",
"miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM2",
Higher Results Are Better
"12c",8614.13,8612.209,8694.591
"10c",8648.351,8624.201,8728.387
"8c",8682.172,8489.757,8675.972
"6c",8493.332,8635.042,8827.399
"miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM2",
Higher Results Are Better
"12c",344.565,344.488,347.784
"10c",345.934,344.968,349.135
"8c",347.287,339.59,347.039
"6c",339.733,345.402,353.096
"nekRS 22.0 - Input: TurboPipe Periodic",
Higher Results Are Better
"12c",803114000000,835244000000,826028000000
"10c",771416000000,797983000000,789375000000
"8c",736030000000,732825000000,751886000000
"6c",659093000000,656459000000,663111000000
"OpenRadioss 2022.10.13 - Model: Bumper Beam",
Lower Results Are Better
"12c",79.63,81.34,78.62
"10c",80.67,78.22,80.22
"8c",78.63,80.58,78.38
"6c",79.56,78.41,80.88
"OpenRadioss 2022.10.13 - Model: Bird Strike on Windshield",
Lower Results Are Better
"12c",217.5,216.2,216.95
"10c",219.2,218.12,217.33
"8c",219.76,219.48,219.11
"6c",218.83,219.22,219.26
"OpenRadioss 2022.10.13 - Model: INIVOL and Fluid Structure Interaction Drop Container",
Lower Results Are Better
"12c",81.3,81.74,81.67
"10c",81.06,81.09,81.31
"8c",81.32,81.05,80.9
"6c",80.74,80.72,80.97
"RELION 3.1.1 - Test: Basic - Device: CPU",
Lower Results Are Better
"12c",133.625,126.81,126.587,126.669,126.816
"10c",156.987,149.685,149.343,149.578
"8c",227.084,218.655,218.268
"6c",270.994,257.226,258.005,256.815,254.179,253.782
"WRF 4.2.2 - Input: conus 2.5km",
Lower Results Are Better
"12c",
"10c",
"8c",
"6c",
"TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"12c",108.84,108.47,110.07
"10c",105.78,105.37,106.58
"8c",105.44,104.05,105.53
"6c",95.87,95.16,95.99
"Neural Magic DeepSparse 1.1 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"12c",84.2723,84.0881,84.6914
"10c",84.4688,84.5635,84.4143
"8c",84.2242,84.2756,84.1348
"6c",82.795,81.8577,82.8079
"Neural Magic DeepSparse 1.1 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"12c",1134.8311,1133.0006,1132.0152
"10c",1133.1954,1132.8278,1133.523
"8c",1137.8555,1135.1026,1137.6051
"6c",1148.1218,1149.8052,1147.5621
"Neural Magic DeepSparse 1.1 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"12c",761.6599,760.1594,762.6367
"10c",744.626,745.733,738.0279
"8c",705.3491,709.5396,702.246
"6c",638.9572,619.0708,561.5807,558.2167,568.688,560.9155,558.1649,551.5122,579.9896,570.318,577.5724,574.9192,560.1433,581.8311,574.3973
"Neural Magic DeepSparse 1.1 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"12c",125.7135,125.9192,125.526
"10c",128.6034,128.3922,129.7791
"8c",135.6925,134.9241,136.247
"6c",149.8309,154.5227,170.3707,171.479,168.3077,170.6165,171.3424,173.5039,164.9259,167.7077,165.6472,166.3935,170.8411,164.4483,166.5454
"Neural Magic DeepSparse 1.1 - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"12c",854.8901,856.6703,856.4954
"10c",844.4231,845.347,843.5104
"8c",770.9065,773.1707,775.1287
"6c",693.7884,652.7564,632.9394,659.0345,660.6301,635.9965,611.8541,639.3689,658.4619,610.3628,611.2395,616.9618,623.5255,596.387,622.0616
"Neural Magic DeepSparse 1.1 - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"12c",112.0327,111.8127,111.8273
"10c",113.4287,113.2566,113.5385
"8c",124.1817,123.853,123.538
"6c",137.9888,146.6166,151.1724,145.1177,144.8395,150.5013,156.4446,149.5914,145.3931,156.7924,156.5488,155.0869,153.4155,160.4153,153.8255
"Neural Magic DeepSparse 1.1 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"12c",1972.0621,1965.6716,1955.0852
"10c",1966.695,1967.6066,1962.3802
"8c",1956.3119,1954.9473,1951.109
"6c",1929.6119,1916.158,1945.2131
"Neural Magic DeepSparse 1.1 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"12c",48.5967,48.7156,48.9896
"10c",48.7173,48.6965,48.8155
"8c",48.928,48.997,49.0697
"6c",49.6393,49.9848,49.2594
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"12c",1197.7734,1201.7963,1188.161
"10c",1201.2202,1199.9006,1202.2966
"8c",1208.3913,1199.38,1198.1804
"6c",1192.2505,1191.1383,1188.1971
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"12c",79.9731,79.6655,80.5983
"10c",79.7272,79.7539,79.6607
"8c",79.3101,79.7723,79.9771
"6c",80.39,80.3433,80.5865
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"12c",618.0827,612.2171,616.0424
"10c",613.0103,606.4128,614.4548
"8c",615.9213,611.97,615.9403
"6c",609.445,611.8809,604.275
"Neural Magic DeepSparse 1.1 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"12c",154.7909,156.3559,155.2923
"10c",156.0718,157.6253,155.915
"8c",155.6328,156.3441,155.4805
"6c",157.0366,156.3207,158.2918
"Neural Magic DeepSparse 1.1 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Higher Results Are Better
"12c",83.9937,84.6541,84.0932
"10c",84.3085,84.2908,84.1979
"8c",84.0345,84.4724,83.957
"6c",81.8824,82.1721,82.7295
"Neural Magic DeepSparse 1.1 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
Lower Results Are Better
"12c",1135.2062,1131.0434,1134.1827
"10c",1133.6894,1134.7874,1137.0768
"8c",1139.095,1134.1793,1139.2613
"6c",1150.2194,1148.1718,1146.5923
"ONNX Runtime 1.11 - Model: fcn-resnet101-11 - Device: CPU - Executor: Standard",
Higher Results Are Better
"12c",254.5,267,247.5,253,251.5,251.5,252.5
"10c",260.5,250,253.5
"8c",254,252,268,254.5,257.5
"6c",260,262.5,245,262,248,247,249,249,262.5,258.5,243.5,247
"GROMACS 2022.1 - Implementation: MPI CPU - Input: water_GMX50_bare",
Higher Results Are Better
"12c",18.666,18.754,18.699
"10c",18.653,18.688,18.69
"8c",18.705,18.665,18.665
"6c",17.959,17.89,17.972
"High Performance Conjugate Gradient 3.1 - ",
Higher Results Are Better
"12c",74.5542,87.8309,88.0237,88.0971,88.0471,87.7285,87.7859,87.4822,88.1178,88.2919,88.056,87.7565
"10c",51.2529,45.3254,44.1977,44.0031,43.9389,44.2696,43.7841,43.9027,73.9764
"8c",41.6928,45.7814,46.3234,46.6097,45.6097,45.0971,45.0966,44.8327,43.9615
"6c",28.6594,37.6591,37.8461,37.895,37.9474,37.0948,37.3416,36.9249,37.5017
"NAS Parallel Benchmarks 3.4 - Test / Class: CG.C",
Higher Results Are Better
"12c",78106.18,85148.78,83422.33,79293.25,80626.51,75877.66,81968.89,76909.82,83063.47,82327.42,79181.84,77773.67,80396.24,74881.92,84397.23
"10c",81409.12,75035.84,81811.44,77539.53,83694.9,82470.65,84927.74,82732.05,85505.4,82256.08,74809.56,84414.69,83082.72,81241.07,76754.14
"8c",81546.74,73259.11,77387.39,84716.26,86607.69,76123.95,76443.01,80767.05,80714.84,77111.12,80446.1,82451.74,77210.41,81214.34,80762.45
"6c",72648.63,71608.84,70729.36
"NAS Parallel Benchmarks 3.4 - Test / Class: IS.D",
Higher Results Are Better
"12c",8463.13,8359.93,8649.98
"10c",6552.67,6542.89,6911.05,6568.24,8338.26,6490.72,6632.54,7651.5,7428.12,8437.58,7405.21,6540.27
"8c",7133.17,6343.75,6432.34,7127.09,6437.54,6192.81,7335.61,6971.58,7317.88,7122.34,6053.19,6334.65,5871.65,6167.41,7294.59
"6c",6272.87,6174.73,5747.24,6125.03,5228.88,4983.75,6152.1,4961.45,4956.65,5458.38,6385.81,5833.27
"NAS Parallel Benchmarks 3.4 - Test / Class: LU.C",
Higher Results Are Better
"12c",486629.4,505131.78,480215.4,484682.02
"10c",485308.15,490614.71,494062.74
"8c",486631.13,460519.31,459069.84,461699.41,465928.01
"6c",437653.51,464593.48,454721.2,461634.82,453200.11
"NAS Parallel Benchmarks 3.4 - Test / Class: MG.C",
Higher Results Are Better
"12c",213836.16,210144.63,205559.5
"10c",191483.92,170082.76,159878.34,169828.79,188858.09,168437.33,191708.82,183051.04,189622.26,167613.69,178850.53,179801.31,170646.58,167897.69,178700.09
"8c",149901.65,170657.02,157013.67,155533.51,159823.08,145908.32,154170.61,161533.96,156483.13,153237.15,158451.24,141122.67,145062.77,152606.87,140375.98
"6c",110138,115549.74,106678.44,126886.35,114642.1,113385.16,117570.12,123337.79,122877.75,109312.7,116296.62,124159.77,124840.55,123653.69,116674.76
"NAS Parallel Benchmarks 3.4 - Test / Class: SP.C",
Higher Results Are Better
"12c",259149.43,263636.68,258628.4
"10c",238190.76,240700.95,239596.31
"8c",207568.79,211715.33,206321.57
"6c",163964.08,168283.3,170176.73
"Rodinia 3.1 - Test: OpenMP CFD Solver",
Lower Results Are Better
"12c",6.035,6.005,6.11
"10c",6.048,6.096,6.077
"8c",5.955,6.001,5.954
"6c",6.18,6.105,6.172
"Rodinia 3.1 - Test: OpenMP Streamcluster",
Lower Results Are Better
"12c",6.529,5.781,5.709,5.8,6.439,5.784,5.77,5.72,5.792,6.466,5.768,5.764,6.455,5.789,6.448
"10c",6.408,6.37,5.73,6.273,6.451,6.406,6.426,6.47,6.148,6.532,6.493,6.386,6.435,5.425,6.327
"8c",5.73,6.203,5.65,5.703,5.751,6.321,5.716,5.98,6.342,5.74,6.319,6.361,6.383,6.318,5.757
"6c",6.415,6.492,6.319
"NAMD 2.14 - ATPase Simulation - 327,506 Atoms",
Lower Results Are Better
"12c",0.127805,0.127675,0.128001
"10c",0.127598,0.127465,0.127721
"8c",0.128573,0.127391,0.127067
"6c",0.128138,0.128373,0.128081
"oneDNN 3.0 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"12c",3.90452,3.97332,3.98628
"10c",4.18439,4.21782,4.00347,3.91288,4.35888,3.83047,3.81069,4.07138,3.90152,3.96477,4.20148,3.65481
"8c",4.16451,4.13555,4.48853,3.67553,3.86139,4.03418,4.03061,4.10651,3.63766,4.23968,4.18251,3.35995
"6c",3.94553,4.0006,3.9485
"oneDNN 3.0 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"12c",1881.1,1756.17,1919.85,2031.8,2035.76,1651.96,2024.01,2008.68,2117.81,2061.74,2003.15,1947.35,2039.38,2017.13,2034.66
"10c",2036,2053.46,2002.69
"8c",2000.22,2019.56,1926.66
"6c",1957.12,2026.45,2128.97,2099.39,2112.84,2053.15,2113.19,2075.98,2060.35,2098.25
"oneDNN 3.0 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"12c",2322.08,2324.5,2386.29
"10c",2376.59,2465.39,2472.01
"8c",2338.1,2412.27,2375.98
"6c",2565.74,2441.08,2324.16,2409.22,2418.47,2471.54,2499.59,2446.95,2645.61,2543.41,2456.47,2617.51,2604.38,2314.82,2435.36
"oneDNN 3.0 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU",
Lower Results Are Better
"12c",2236.84,2320.22,2270.53
"10c",2300.52,2266,2446.27,2388.9,2273.56,2507.39,2277.98,2369.24,2266.25,2187.66,2233.3,2257.38,2240.62,2466.85,2403.76
"8c",2440.08,2399.66,2277.89,2287.41,2481.73,2324.02,2521.8,2283.61,2361.97,2431.88,2251.46,2314.98,2567.52,2335.91,2296.72
"6c",2533.9,2439.87,2440.95
"oneDNN 3.0 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU",
Lower Results Are Better
"12c",0.437247,0.454208,0.449334
"10c",0.473624,0.470184,0.450637,0.459371
"8c",0.477996,0.456496,0.462896
"6c",0.475457,0.464371,0.45535
"OpenVINO 2022.3 - Model: Face Detection FP16 - Device: CPU",
Higher Results Are Better
"12c",101.64,101.89,101.68
"10c",101.99,102.06,101.98
"8c",101.33,101.2,101.26
"6c",100.97,101.09,101.18
"OpenVINO 2022.3 - Model: Face Detection FP16 - Device: CPU",
Lower Results Are Better
"12c",471.28,470.57,471.08
"10c",469.56,469.24,469.49
"8c",473.14,473.07,472.31
"6c",473.85,473.81,473.4
"OpenVINO 2022.3 - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"12c",42.8,43.24,42.91
"10c",43.14,42.95,42.74
"8c",42.79,42.7,42.29
"6c",41.18,41.14,41.67
"OpenVINO 2022.3 - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"12c",1114.4,1103.18,1110.76
"10c",1105.12,1112.19,1114.01
"8c",1115.79,1116.61,1126.98
"6c",1157.22,1158.96,1144.92
"OpenVINO 2022.3 - Model: Person Detection FP32 - Device: CPU",
Higher Results Are Better
"12c",42.36,43,43.48
"10c",43.48,43.26,42.8
"8c",42.21,42.22,42.24
"6c",41.58,41.42,41.33
"OpenVINO 2022.3 - Model: Person Detection FP32 - Device: CPU",
Lower Results Are Better
"12c",1126.04,1110.17,1095.82
"10c",1095.9,1103.48,1114.38
"8c",1129.8,1129.27,1127.97
"6c",1147.03,1151.17,1153.42
"OpenVINO 2022.3 - Model: Vehicle Detection FP16 - Device: CPU",
Higher Results Are Better
"12c",7398.8,7394.3,7390.85
"10c",7439.89,7398.51,7436.91
"8c",7394.5,7396.01,7376.48
"6c",7315.63,7301.36,7302.42
"OpenVINO 2022.3 - Model: Vehicle Detection FP16 - Device: CPU",
Lower Results Are Better
"12c",6.48,6.48,6.49
"10c",6.44,6.48,6.44
"8c",6.48,6.48,6.5
"6c",6.55,6.56,6.56
"OpenVINO 2022.3 - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"12c",191.67,191.02,191.6
"10c",192.34,192.31,192.24
"8c",191.34,192.44,192.97
"6c",191.46,191.15,191.25
"OpenVINO 2022.3 - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"12c",250.02,250.98,250.03
"10c",249.08,249.17,249.12
"8c",250.59,248.91,248.28
"6c",250.24,250.66,250.58
"OpenVINO 2022.3 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"12c",11019.9,11015.53,11019.69
"10c",11067.93,11070.79,11059.77
"8c",11106.79,11105.99,11111.71
"6c",11146.75,11152.38,11151.83
"OpenVINO 2022.3 - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"12c",4.35,4.35,4.35
"10c",4.33,4.33,4.33
"8c",4.31,4.31,4.31
"6c",4.3,4.29,4.3
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16 - Device: CPU",
Higher Results Are Better
"12c",9864.63,9872.54,9865.07
"10c",9897.27,9904.37,9899.76
"8c",9923.37,9924.62,9946.48
"6c",9963.1,9952.55,9962.49
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16 - Device: CPU",
Lower Results Are Better
"12c",4.85,4.85,4.85
"10c",4.84,4.83,4.83
"8c",4.82,4.82,4.81
"6c",4.81,4.81,4.81
"OpenVINO 2022.3 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"12c",963.81,956.85,956.83
"10c",932.42,937.49,934.23
"8c",887.05,870.47,833.86,890.35,888.02,882.59
"6c",818.19,825.68,807.93
"OpenVINO 2022.3 - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"12c",49.74,50.11,50.1
"10c",51.41,51.14,51.32
"8c",54.05,55.07,57.49,53.85,53.99,54.32
"6c",58.6,58.06,59.35
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"12c",19146.66,19183.37,19184.51
"10c",19289.88,19279.76,19192.6
"8c",19249.32,19245.98,19341.5
"6c",19342.99,19246.37,19352.75
"OpenVINO 2022.3 - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"12c",9.96,9.95,9.95
"10c",9.89,9.9,9.94
"8c",9.91,9.92,9.87
"6c",9.87,9.92,9.87
"OpenVINO 2022.3 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"12c",9019.49,9053.18,9042.75
"10c",9069.6,9068.44,9053.47
"8c",9117.13,9114.6,9107.61
"6c",9074.25,9073.88,9097.06
"OpenVINO 2022.3 - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"12c",5.31,5.29,5.3
"10c",5.28,5.28,5.29
"8c",5.26,5.26,5.26
"6c",5.28,5.28,5.27
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"12c",149060.18,146478.44,147769.17
"10c",151956.66,147610.74,142768.29,151580.29,145269.3,151122.16,144286.04,151634.27,144102.22,146843.2
"8c",153962.11,152393.89,150521.17
"6c",151460.98,150493.82,151684.72
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"12c",0.55,0.55,0.55
"10c",0.55,0.55,0.54,0.55,0.55,0.55,0.55,0.55,0.54,0.55
"8c",0.55,0.55,0.55
"6c",0.54,0.54,0.55
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"12c",117350.75,121515.19,119952.68
"10c",123866.63,123635.2,121312.87
"8c",121270.78,124959.42,124484.85
"6c",121169.35,119781.72,122130.69
"OpenVINO 2022.3 - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"12c",0.96,0.97,0.97
"10c",0.98,0.98,0.97
"8c",0.97,0.98,0.98
"6c",0.97,0.97,0.97
"ACES DGEMM 1.0 - Sustained Floating-Point Rate",
Higher Results Are Better
"12c",70.623937,69.760936,70.838326
"10c",70.574028,70.643979,70.623317
"8c",70.934295,71.115263,70.981412
"6c",71.046705,71.001263,70.646969
"NWChem 7.0.2 - Input: C240 Buckyball",
Lower Results Are Better
"12c",
"10c",
"8c",
"6c",
"OpenFOAM 10 - Input: drivaerFastback, Medium Mesh Size - Execution Time",
Lower Results Are Better
"12c",
"10c",
"8c",
"6c",
"Xcompact3d Incompact3d 2021-03-11 - Input: X3D-benchmarking input.i3d",
Lower Results Are Better
"12c",125.364716,125.815216,125.398811
"10c",146.506241,146.159225,146.204025
"8c",289.631989,275.565094,264.7435,266.645569,264.740479,265.961212,268.369049,265.424347,269.740204
"6c",386.346436,344.343323,343.544403,339.781708,341.533264,343.363892,343.149963,348.633667,349.223572
"GPAW 22.1 - Input: Carbon Nanotube",
Lower Results Are Better
"12c",22.914,24.064,23.093,22.782,22.901
"10c",23.257,23.228,23.635
"8c",24.371,24.957,24.465
"6c",26.664,26.27,25.99
"Timed GDB GNU Debugger Compilation 10.2 - Time To Compile",
Lower Results Are Better
"12c",41.539,42.049,41.538
"10c",42.295,42.555,42.387
"8c",42.411,42.466,42.35
"6c",43.337,43.003,43.394
"Timed MPlayer Compilation 1.5 - Time To Compile",
Lower Results Are Better
"12c",7.747,7.742,7.842
"10c",7.788,7.791,7.687
"8c",7.846,7.812,7.766
"6c",7.754,7.776,7.788
"Timed Apache Compilation 2.4.41 - Time To Compile",
Lower Results Are Better
"12c",20.467,20.472,20.444
"10c",20.463,20.477,20.501
"8c",20.602,20.572,20.594
"6c",20.737,20.717,20.707
"7-Zip Compression 22.01 - Test: Compression Rating",
Higher Results Are Better
"12c",933740,924853,910936
"10c",895949,888273,896078
"8c",886833,874258,877198
"6c",834055,810511,830212
"7-Zip Compression 22.01 - Test: Decompression Rating",
Higher Results Are Better
"12c",1185869,1183465,1174971
"10c",1177798,1175660,1161424
"8c",1178107,1148093,1153504
"6c",1178199,1180572,1173682
"Timed LLVM Compilation 13.0 - Build System: Ninja",
Lower Results Are Better
"12c",76.045,75.674,75.247
"10c",75.848,75.325,75.148
"8c",75.64,75.638,75.896
"6c",76.873,76.668,76.7
"Timed PHP Compilation 8.1.9 - Time To Compile",
Lower Results Are Better
"12c",44.603,44.54,44.415
"10c",44.586,44.475,44.762
"8c",44.525,44.647,44.577
"6c",44.564,44.733,44.797
"Timed Linux Kernel Compilation 6.1 - Build: defconfig",
Lower Results Are Better
"12c",27.182,25.293,25.221,25.163,26.152,25.155,25.27,25.165,25.29,25.271,25.352
"10c",27.995,25.073,25.177,25.107,25.935,25.152,25.572,25.104,25.047,25.082,25.126,25.154,25.155,25.025
"8c",26.913,25.286,25.128,26.09,25.445,25.009,24.998,25.684,25.202
"6c",26.055,24.493,24.512,24.817,24.499,24.436,24.418
"Timed Linux Kernel Compilation 6.1 - Build: allmodconfig",
Lower Results Are Better
"12c",147.136,145.602,148.703
"10c",146.847,144.547,144.836
"8c",148.972,147.697,145.462
"6c",146.037,145.607,145.655
"Kvazaar 2.1 - Video Input: Bosphorus 4K - Video Preset: Medium",
Higher Results Are Better
"12c",62.44,63.8,61.45
"10c",62.39,62.28,62.03
"8c",62.56,60.34,62.52
"6c",61.73,60.35,62.11
"Kvazaar 2.1 - Video Input: Bosphorus 4K - Video Preset: Very Fast",
Higher Results Are Better
"12c",73.29,76.81,73.35,71.39,72.2,72.41,71.55,76.26,73.69,73.41
"10c",76.19,73.87,76
"8c",70.97,73.82,74.32
"6c",72.93,70.41,70.89
"Kvazaar 2.1 - Video Input: Bosphorus 4K - Video Preset: Ultra Fast",
Higher Results Are Better
"12c",76.52,78.57,78.4
"10c",75.38,78.86,77.67
"8c",75.43,77.34,77.75
"6c",76.32,74.62,76.64
"SVT-AV1 1.4 - Encoder Mode: Preset 12 - Input: Bosphorus 4K",
Higher Results Are Better
"12c",183.895,246.509,260.729,285.591,268.144,280.198,277.925,270.764,284.788,228.766,239.957,214.363,251.352,244.02,239.53
"10c",185.395,263.121,284.791,249.14,247.688,281.116,237.454,230.275,240.016,225.356,222.882,244.659,203.641,276.804,228.194
"8c",168.374,221.835,225.59,226.993,255.542,216.841,225.665,247.156,196.862,242.736,288.609,229.399,256.446,191.071,225.354
"6c",154.635,170.521,264.638,251.048,248.521,228.522,186.142,214.157,248.717,223.207,244.433,219.42,221.133
"Blender 3.4 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"12c",8.7,8.52,8.51
"10c",8.36,8.5,8.4
"8c",8.38,8.31,8.34
"6c",8.31,8.44,8.24
"Blender 3.4 - Blend File: Classroom - Compute: CPU-Only",
Lower Results Are Better
"12c",20.92,20.93,20.92
"10c",20.93,20.71,20.64
"8c",20.79,20.59,20.65
"6c",20.64,20.77,20.73
"Blender 3.4 - Blend File: Barbershop - Compute: CPU-Only",
Lower Results Are Better
"12c",81.27,80.61,81.21
"10c",80.61,80.08,80.41
"8c",79.74,80.26,80.55
"6c",79.37,79.98,80.43
"libavif avifenc 0.11 - Encoder Speed: 0",
Lower Results Are Better
"12c",63.608,63.046,63.088
"10c",62.967,62.992,63.78
"8c",62.901,63.014,62.968
"6c",63.819,64.605,62.986
"libavif avifenc 0.11 - Encoder Speed: 2",
Lower Results Are Better
"12c",35.122,34.641,34.782
"10c",34.852,34.799,35.075
"8c",34.653,34.879,34.53
"6c",34.996,35.034,34.593
"libavif avifenc 0.11 - Encoder Speed: 6",
Lower Results Are Better
"12c",2.474,2.477,2.427
"10c",2.408,2.416,2.408
"8c",2.389,2.424,2.446
"6c",2.428,2.442,2.436
"libavif avifenc 0.11 - Encoder Speed: 6, Lossless",
Lower Results Are Better
"12c",5.247,5.434,5.181
"10c",5.204,5.353,5.3
"8c",5.223,5.251,5.335
"6c",5.231,5.34,5.42
"libavif avifenc 0.11 - Encoder Speed: 10, Lossless",
Lower Results Are Better
"12c",4.254,4.195,4.275
"10c",4.407,4.229,4.375
"8c",4.252,4.237,4.267
"6c",4.327,4.242,4.18
"Timed Godot Game Engine Compilation 3.2.3 - Time To Compile",
Lower Results Are Better
"12c",33.342,34.842,33.351,34.592
"10c",33.564,33.7,33.584
"8c",33.806,33.642,34.267
"6c",33.824,33.732,33.458
"Embree 3.13 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"12c",180.9243,184.3509,182.0742
"10c",185.2098,183.8036,185.1905
"8c",185.9218,185.7822,184.7682
"6c",187.1262,187.4682,188.2376
"Embree 3.13 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"12c",213.9934,213.6867,213.5721
"10c",214.957,214.5849,213.3861
"8c",218.1246,216.7767,217.3166
"6c",221.8575,221.6328,220.3791
"Intel Open Image Denoise 1.4.0 - Run: RT.hdr_alb_nrm.3840x2160",
Higher Results Are Better
"12c",3.5355178119387,3.4893418054552,3.5350553766425
"10c",3.4078284635465,3.4771240011961,3.4262533234657
"8c",3.441712871662,3.4518943996465,3.5088211764376
"6c",3.3240813070288,3.2681340588591,3.2784412978693
"Intel Open Image Denoise 1.4.0 - Run: RTLightmap.hdr.4096x4096",
Higher Results Are Better
"12c",1.6542761383901,1.6541694167233,1.6463805147573
"10c",1.64014551371,1.6312947586499,1.6263044994967
"8c",1.6268257051476,1.6427644440064,1.6406917812827
"6c",1.5392477388451,1.5437935639246,1.5248063114783
"OpenVKL 1.3.1 - Benchmark: vklBenchmark ISPC",
Higher Results Are Better
"12c",1337,1325,1313
"10c",1269,1290,1341,1358,1356,1345,1292,1297,1305
"8c",1342,1312,1322
"6c",1239,1185,1211
"LuxCoreRender 2.6 - Scene: Danish Mood - Acceleration: CPU",
Higher Results Are Better
"12c",9.85,9.81,9.26,9.24,9.86,9.56,9.65,9.67,10.52,10.01,9.64,9.09,9.51,9.55,10.13
"10c",10.1,9.63,9.47,10.23,8.99,9.24,9.49,9.81,9.31,8.92,9.2,11.02
"8c",9.44,9.16,9.82,9.24,9.2,9.42,9.96,8.86,9.48,10.55,9.85,9.5,9.47,9.88,9.62
"6c",9.55,9.38,9.02,8.93,10.42,9.39,9.13,9.6,9.75,9.5,10.27,8.93
"LuxCoreRender 2.6 - Scene: Orange Juice - Acceleration: CPU",
Higher Results Are Better
"12c",28.13,27.73,34.67,27.62,27.84,27.91,27.9,27.35,27.93,27.35,27.71,28.57,28.22,28.59,34.83
"10c",28.43,28.52,27.62
"8c",27.63,34.29,27.42,28.14,28.15,26.84,27.56,28.24,27.46,34.38,27.96,27.54,27.9,34.54,27.57
"6c",26.96,34.34,26.76,34.24,27.56,27.92,27.38,33.99,27.75,27.65,27.86,27.76,27.17,28.19,27.96
"OSPRay 2.10 - Benchmark: particle_volume/ao/real_time",
Higher Results Are Better
"12c",43.7491,43.7349,43.6344
"10c",43.0462,43.0953,42.9533
"8c",43.991,43.9439,43.9752
"6c",43.3987,43.4001,43.2738
"OSPRay 2.10 - Benchmark: particle_volume/scivis/real_time",
Higher Results Are Better
"12c",42.7999,42.8907,42.7005
"10c",43.0005,43.0134,42.9858
"8c",43.8982,43.7939,43.8405
"6c",43.1201,43.277,43.3218
"OSPRay 2.10 - Benchmark: particle_volume/pathtracer/real_time",
Higher Results Are Better
"12c",230.503,226.21,231.094
"10c",226.417,231.907,232.523
"8c",226.695,226.994,232.055
"6c",230.278,231.532,229.51
"OSPRay 2.10 - Benchmark: gravity_spheres_volume/dim_512/ao/real_time",
Higher Results Are Better
"12c",43.7541,43.9714,44.2071
"10c",44.0762,43.9378,43.9767
"8c",44.3732,44.2911,44.0263
"6c",44.3163,44.1291,44.3693
"OSPRay 2.10 - Benchmark: gravity_spheres_volume/dim_512/scivis/real_time",
Higher Results Are Better
"12c",43.4205,42.9768,42.9813
"10c",43.2422,43.1832,43.5606
"8c",43.2875,43.3056,43.6999
"6c",43.3107,43.5308,43.0281
"OSPRay 2.10 - Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time",
Higher Results Are Better
"12c",54.313,54.2382,52.7733
"10c",54.6183,54.4138,54.1928
"8c",54.6388,54.3648,54.5224
"6c",54.6885,54.5461,54.5815
"Build2 0.13 - Time To Compile",
Lower Results Are Better
"12c",49.998,49.888,49.864
"10c",49.776,49.849,49.774
"8c",50.122,50.018,49.474
"6c",49.695,50.616,49.941
"Timed Gem5 Compilation 21.2 - Time To Compile",
Lower Results Are Better
"12c",139.019,139.139,139.555
"10c",134.357,133.764,134.997
"8c",136.259,135.812,138.309
"6c",135.681,134.695,133.708
"Timed Mesa Compilation 21.0 - Time To Compile",
Lower Results Are Better
"12c",20.012,20.094,20.244
"10c",20.279,20.093,20.244
"8c",20.019,20.256,20.046
"6c",20.23,20.167,20.074
"Timed Node.js Compilation 18.8 - Time To Compile",
Lower Results Are Better
"12c",100.958,101.793,101.645
"10c",102.382,102.05,101.391
"8c",100.786,101.11,101.55
"6c",102.897,102.735,102.697
"Liquid-DSP 2021.01.31 - Threads: 256 - Buffer Length: 256 - Filter Length: 57",
Higher Results Are Better
"12c",10339000000,10347000000,10355000000
"10c",10340000000,10331000000,10349000000
"8c",10329000000,10342000000,10342000000
"6c",10342000000,10346000000,10333000000
"Liquid-DSP 2021.01.31 - Threads: 384 - Buffer Length: 256 - Filter Length: 57",
Higher Results Are Better
"12c",10353000000,10350000000,10338000000
"10c",10346000000,10351000000,10361000000
"8c",10340000000,10349000000,10360000000
"6c",10343000000,10354000000,10350000000
"nginx 1.23.2 - Connections: 500",
Higher Results Are Better
"12c",200771.86,201614.22,200710.1
"10c",199424.8,198263.21,198887.96
"8c",196870.1,197951.64,196424.19
"6c",196928.02,196577.79,196910.09
"CockroachDB 22.2 - Workload: MoVR - Concurrency: 512",
Higher Results Are Better
"12c",952,951.7,941.7
"10c",951.9,954.4,942.4
"8c",942.7,965.8,972.5
"6c",964.4,949.4,950.2
"CockroachDB 22.2 - Workload: MoVR - Concurrency: 1024",
Higher Results Are Better
"12c",955.7,954.6,951
"10c",948.5,950.5,949.5
"8c",947.8,941,951.9
"6c",954.7,953.7,949.6
"CockroachDB 22.2 - Workload: KV, 10% Reads - Concurrency: 512",
Higher Results Are Better
"12c",32039.5,34406.2,36350.3,35416.8,36954.7,36258.9,36230.5,36548.4,37352.5,35311.4,35808.6,37115,36273.2,36874.1,36610.4
"10c",33663.2,35242.2,37251.8,36199.1,37472.8,35302.7,37183.3,35722.2,35529.3,36667.7,36041.6,35424.7,36994.9,34804.6,36396.4
"8c",33272.6,35633.8,34829,35401.2,35313.1,34547.4
"6c",31126.4,33645.1,34418.4,36329.8,37348.8,36724.5,35617.2,36398.1,35681.7,37986.8,35031.6,35635.3,36850.2,36528.2,36812.7
"CockroachDB 22.2 - Workload: KV, 50% Reads - Concurrency: 512",
Higher Results Are Better
"12c",48577.6,44801.2,48380.3,44452.5,45258.2,48070,49067.3,47985.8,44849.7,47985.1,49286.9,48391.6,49438.5,48810.2,48973.1
"10c",48076.4,49681.4,49550.3
"8c",49127.1,49259.3,45099.1,48399,44903.2,48413.2,45396.7,44964,48876.3,46242.9,47730.2,48215.8,48746.8,48633.9,49940.8
"6c",47372.5,47486.3,47425.2
"CockroachDB 22.2 - Workload: KV, 60% Reads - Concurrency: 512",
Higher Results Are Better
"12c",52237.9,52834.5,51917.8
"10c",48941.9,48317.3,53213.8,53109,54015.7,47947.6,52873.6,53666.4,48536.8,52461.5,48872.7,53671.2,54017.9,53480,53107.3
"8c",47856.1,53230.2,52504.4,52494.2,52186.3,52344.9,53429.6,53495.7,52680.9,52786.7,52569,53511.2,53608.4
"6c",46679.7,50420.2,52310.5,52440.9,53678.6,53052,52264.4,48221.4,52297.7,52257.8,52222.2,52416.8,48569.1,48941.9,53353.4
"CockroachDB 22.2 - Workload: KV, 95% Reads - Concurrency: 512",
Higher Results Are Better
"12c",64301.3,65758.6,63342.9
"10c",63268.3,57767.5,63529.4,57700.9,64265.7,57508.8,56961.8,64260.5,64961,56325.4,66511.8,66712.5,57302.2,55737.1,58731.9
"8c",63718.2,65813.1,62804.4
"6c",57133.1,66050,66050,63719.5,62137.7,64469,63036,65159.2,56318.9,65632.3,63120.2,57990.2,62356.4,64416.9,62408
"CockroachDB 22.2 - Workload: KV, 10% Reads - Concurrency: 1024",
Higher Results Are Better
"12c",36657.8,37154.3,36728.5
"10c",35431.9,35429.2,36469.3
"8c",36252.5,37316.6,36488.1
"6c",36542.8,35917,36529.1
"CockroachDB 22.2 - Workload: KV, 50% Reads - Concurrency: 1024",
Higher Results Are Better
"12c",45247.7,45274.6,48082.8,49624.5,48393.5,48208.7,45810.3,46196.5,45967.9,47387.8,47514.5,48826.5,48272.8,48112.3,49061.9
"10c",47752.9,49061.9,48532.3
"8c",48195.3,45299.6,49289.5,48219.6,49337.7,44691.2,45209.4,48194.9,48470.2,45260.4,45595.6,50079.9,49451.9,47490.9,47685.5
"6c",47270.2,48880.5,45751.5,47871,45594.7,48022.5,48276,48454.5,48224.1
"CockroachDB 22.2 - Workload: KV, 60% Reads - Concurrency: 1024",
Higher Results Are Better
"12c",52999.5,52170.8,52549.6
"10c",52432.9,48601.2,51686.1,51920.5,52757,52124.3,53084.6,51898.3,52896.3,52194.1
"8c",51799.2,52528.1,53349.8
"6c",51958.8,52441.8,53478.6
"CockroachDB 22.2 - Workload: KV, 95% Reads - Concurrency: 1024",
Higher Results Are Better
"12c",65100.8,65363.3,63521.2
"10c",62816.7,54308,65115.2,53337.1,64179.4,65677,65283.8,62944.9,63770.1,64307.3,63570.6,53375.1,62659.1,65177.6,63924.7
"8c",54319.6,53705.2,62877.7,63890.4,53422.5,63131,53653.3,62558.7,53603.2,52785.3,63373.7,54039.9,53337.2,63928.7,64306
"6c",56362.5,67136.4,64254.6,63045.7,63450.2,62189.8,64494.4,53765.2,64928.3,62717.1,53546.6,63858.2,54812.9,54093.2,53404.1
"Apache Cassandra 4.0 - Test: Writes",
Higher Results Are Better
"12c",285173,252020,252319,244836,244403,247541,240168,264574,246545,259098,247800,237035
"10c",244179,239136,247494
"8c",240006,238071,244484
"6c",241042,248994,250610
"simdjson 2.0 - Throughput Test: Kostya",
Higher Results Are Better
"12c",4.1,4.12,4.12
"10c",4.1,4.11,4.12
"8c",4.11,4.11,4.11
"6c",4.1,4.12,4.1
"simdjson 2.0 - Throughput Test: TopTweet",
Higher Results Are Better
"12c",6.59,6.58,6.6
"10c",6.59,6.18,6.49,6.56,6.49,6.62
"8c",6.58,6.56,6.56
"6c",6.55,6.56,6.55
"simdjson 2.0 - Throughput Test: LargeRandom",
Higher Results Are Better
"12c",1.25,1.25,1.25
"10c",1.25,1.25,1.25
"8c",1.25,1.25,1.25
"6c",1.24,1.24,1.24
"simdjson 2.0 - Throughput Test: PartialTweets",
Higher Results Are Better
"12c",5.65,5.63,5.67
"10c",5.65,5.7,5.66
"8c",5.65,5.68,5.66
"6c",5.69,5.71,5.67
"simdjson 2.0 - Throughput Test: DistinctUserID",
Higher Results Are Better
"12c",6.87,6.88,6.82
"10c",6.82,6.83,6.87
"8c",6.87,6.83,6.87
"6c",6.8,6.84,6.85