AMD Ryzen 9 9950X DDR5 memory module 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 2408225-NE-RYZEN999510
AMD Ryzen 9 9950X DDR5 Memory Performance,
"MBW 2018-09-08 - Test: Memory Copy - Array Size: 4096 MiB",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",22730.375,22677.963,22916.503
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",22515.068,22601.362,22502.73
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",23268.45,21184.525,22776.906,23540.837,21868.261,23249.838,22356.284,21292.326,21168.247,21578.032,21407.191,21733.671,21330.244,23227.969,21426.995
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",23041.648,22223.069,22266.675
"MBW 2018-09-08 - Test: Memory Copy - Array Size: 8192 MiB",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",22344.118,22183.074,22216.161
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",23170.87,22818.741,22464.088
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",21332.184,21491.793,21508.03
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",24255.691,21862.366,21917.228,22002.156,22001.49,21998.011,22078.581,22593.815,22369.691,22062.583,22334.366,22052.77
"MBW 2018-09-08 - Test: Memory Copy, Fixed Block Size - Array Size: 4096 MiB",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",19484.804,19562.469,19555.205
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",20507.258,21066.053,21198.656
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",19674.751,19783.173,19784.829
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",20833.062,20865.036,20754.608
"MBW 2018-09-08 - Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",19461.86,19452.509,19487.813
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",20771.302,20080.648,18659.777,20380.676,20997.59,20972.84,19922.667,20847.532,20350.656,20319.557,20345.107,20350.564,20350.902,20296.708,20594.679
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",20093.45,20555.283,19726.096
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",20791.601,20793.969,20967.078
"Stress-NG 0.17.08 - Test: Memory Copying",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",10697.02,10841.73,10719.68
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",10624.44,10534.02,10668.41
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",10586.43,10659.08,10580.95
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",10575.83,10804.03,10781.07
"RAMspeed SMP 3.5.0 - Type: Add - Benchmark: Integer",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",61237.13,60274.41,61728.25
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",64901.16,65180.15,65259.26
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",62893.25,62674.84,62744.91
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",64102.55,63247.4,64553.16
"RAMspeed SMP 3.5.0 - Type: Copy - Benchmark: Integer",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",64266.8,66046.85,67077.49
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",71716.56,69022.35,68165.7,72114.06,70708.97
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",67048.38,66010.7,66576.64
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",71328.38,71059.21,69853.4
"RAMspeed SMP 3.5.0 - Type: Scale - Benchmark: Integer",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",68750.03,69159.9,69513.31
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",74138.92,74037.68,72998.04
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",70404.07,69578.38,71354.76
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",71301.2,71739.77,72222.77
"RAMspeed SMP 3.5.0 - Type: Triad - Benchmark: Integer",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",62148.09,62690.73,62447.27
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",67480.42,67319.92,66088.74
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",65090.3,64736.68,64671.59
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",65882.4,65874.72,65778.51
"RAMspeed SMP 3.5.0 - Type: Average - Benchmark: Integer",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",65299.26,65713.94,65498.6
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",70095.07,69345.77,69033.43
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",68172.07,64560.12,66814.95,67742.8
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",68913.45,68641.96,68211.11
"BRL-CAD 7.38.2 - VGR Performance Metric",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"Etcpak 2.0 - Benchmark: Multi-Threaded - Configuration: ETC2",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",743.77,742.108,739.475
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",736.926,734.442,732.23
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",732.677,729.849,731.161
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",739.801,740.356,739.052
"Xmrig 6.21 - Variant: GhostRider - Hash Count: 1M",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",3615,3629,3605.9
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",3874,3748.4,3559.1,3682.7,3653.4,3719.4,3712.3,3599.2,3747.9
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",3847.9,3658.4,3625.5,3631.1,3608.4,3687.7
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",3565.2,3666.4,3684.1
"miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM1",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1928.553,1908.447,1929.376
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1902.452,1903.521,1903.147
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1898.609,1899.317,1901.487
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1926.13,1927.923,1926.619
"miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM1",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",77.142,76.338,77.175
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",76.098,76.141,76.126
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",75.944,75.973,76.059
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",77.045,77.117,77.065
"miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM2",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1935.867,1934.179,1933.792
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1906.907,1904.546,1903.407
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1902.718,1897.162,1894.895
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1931.72,1931.085,1930.617
"miniBUDE 20210901 - Implementation: OpenMP - Input Deck: BM2",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",77.435,77.367,77.352
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",76.276,76.182,76.136
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",76.109,75.886,75.796
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",77.269,77.243,77.225
"OpenRadioss 2023.09.15 - Model: Bumper Beam",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",76.91,76.77,77.02
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",77.7,77.32,77.34
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",77.78,77.83,77.83
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",77.44,76.98,77.13
"OpenRadioss 2023.09.15 - Model: Chrysler Neon 1M",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",706.09,705.14,705.42
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",411.96,648.05,571.01,647.46,645.57,648.44,245.57,692.43,649.52
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",669.58,666.17,668.72
"Quicksilver 20230818 - Input: CORAL2 P1",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",25660000,25650000,25720000
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",25560000,25590000,25850000
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",25170000,25120000,25120000
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",25740000,25640000,25600000
"OpenRadioss 2023.09.15 - Model: Cell Phone Drop Test",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",45.22,44.59,44.9
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",43.5,42.99,43.27
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",43.97,43.31,42.99
"OpenRadioss 2023.09.15 - Model: Bird Strike on Windshield",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",128.61,128.38,129.3
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",128.72,127.77,128.47
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",76.05,129.77,67.7,137.1,140.41,127.77,134.48,114.81,141.18,129.51,137.22,136.15,141.09,125.72,126.65
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",127.98,128.63,127.42
"OpenRadioss 2023.09.15 - Model: Rubber O-Ring Seal Installation",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",53.34,53.01,53.12
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",53.87,53.77,53.34
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",54.15,54.37,54.29
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",53.45,53.31,52.94
"OpenRadioss 2023.09.15 - Model: INIVOL and Fluid Structure Interaction Drop Container",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",248.53,246.35,246.3
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",243.17,242.25,240.58
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",237.76,238.79,241.1
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",16.87,16.92,16.96
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",17.27,17.34,17.39
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",16.75,16.83,16.85
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",17.3,17.39,17.34
"TensorFlow 2.16.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",52.23,52.27,52.3
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",55.21,55.17,55.19
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",53.6,53.37,53.66
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",54.37,54.28,54.26
"LeelaChessZero 0.31.1 - Backend: BLAS",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",221,230,227
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",258,263,271
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",239,245,249
"LeelaChessZero 0.31.1 - Backend: Eigen",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",223,218,220
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",249,247,245
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",242,233,234
"Numpy Benchmark - ",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1051.5,1079.82,1073.77
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1045.77,1045.33,1049.64
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1054.49,1067.56,1070.46
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1069.09,1074.59,1068.15
"PyTorch 2.2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",85.325415590434,84.389550393069,84.951616601268
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",85.530215082026,87.488589275426,87.339646573165
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",78.862729895415,81.940965177946,82.852903403002,83.699524801314,82.073243236997
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",83.220513183525,87.861946270814,85.932665017746,85.048473431563
"PyTorch 2.2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",56.858269442441,57.912492071516,57.850362320097
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",58.70430261616,57.787333971246,58.971455269694
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",56.552312004435,55.72041970416,56.294047219181
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",60.702557341331,61.872140291071,57.056316691934,56.019524160219,59.901801274967,58.590278900107,59.141393172963,57.857103790163,60.36003863365,58.195142783141,59.766628723434,58.917604919562,58.461797583261,56.961218231262,59.582092621263
"XNNPACK 2cd86b - Model: FP32MobileNetV2",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1263,1255,1273
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1263,1274,1280
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1294,1267,1294
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1290,1261,1267
"XNNPACK 2cd86b - Model: FP32MobileNetV3Large",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1478,1534,1537
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1554,1549,1556
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1590,1584,1595
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1530,1509,1542
"XNNPACK 2cd86b - Model: FP32MobileNetV3Small",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",816,808,812
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",808,823,823
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",840,839,830
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",811,819,815
"XNNPACK 2cd86b - Model: FP16MobileNetV2",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",989,981,985
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",999,995,998
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1014,1018,1022
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",992,994,1003
"XNNPACK 2cd86b - Model: FP16MobileNetV3Large",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1296,1286,1291
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1299,1296,1311
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1321,1349,1333
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1302,1298,1310
"XNNPACK 2cd86b - Model: FP16MobileNetV3Small",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",773,767,769
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",771,775,772
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",796,797,798
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",780,775,774
"XNNPACK 2cd86b - Model: QU8MobileNetV2",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",758,759,759
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",761,764,771
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",789,779,780
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",765,763,766
"XNNPACK 2cd86b - Model: QU8MobileNetV3Large",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1119,1116,1120
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1128,1119,1126
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1153,1160,1149
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1105,1118,1121
"XNNPACK 2cd86b - Model: QU8MobileNetV3Small",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",764,762,765
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",783,787,787
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",760,762,762
"SPECFEM3D 4.1.1 - Model: Homogeneous Halfspace",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",30.364641209,31.230635897,30.438478265
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",31.136587848,30.646115739,29.846249875
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",29.913344492,29.109062214,30.432887097
"Llama.cpp b3067 - Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",8.35,8.37,8.35
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",8.99,9.02,8.98
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",8.67,8.65,8.66
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",8.31,8.34,8.32
"Llamafile 0.8.6 - Test: Meta-Llama-3-8B-Instruct.F16 - Acceleration: CPU",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"GROMACS 2024 - Implementation: MPI CPU - Input: water_GMX50_bare",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",3.139,3.141,3.142
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",3.294,3.297,3.302
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",3.228,3.235,3.222
"SPECFEM3D 4.1.1 - Model: Water-layered Halfspace",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",71.529698127,72.678345945,72.383737465
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",68.501674827,69.324659821,68.936472306
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",71.915976471,72.242976844
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",69.966225896,68.890384768,69.828316738
"SPECFEM3D 4.1.1 - Model: Tomographic Model",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",23.557050092,23.046830194,23.473398474
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",23.095904808,23.564136768,23.202510587
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",25.281919461,24.368242108,23.110116295,23.456730587,23.221991776,23.162195695,24.358772372,24.250756131,23.711518881,23.729107875,24.543230617,24.05837477,23.198389388,23.951466563,23.63898519
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",22.765497546,23.390562597,22.84544388
"SPECFEM3D 4.1.1 - Model: Layered Halfspace",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",73.311850119,73.568226092,72.536315042
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",70.885330645,68.846565141,69.720371146
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",70.621791143,68.841461595,68.854909158
"SPECFEM3D 4.1.1 - Model: Mount St. Helens",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",25.353290274,25.868345396,25.851324263
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",25.279087108,25.104950626,25.199923157
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",25.288884658,25.423776405,25.647296116
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",24.895556574,25.180924744,24.793168466
"High Performance Conjugate Gradient 3.1 - X Y Z: 104 104 104 - RT: 60",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",8.93734,8.93669,8.93278
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",9.52257,9.52425,9.50122
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",9.16056,9.15957,9.17756
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",8.79958,8.79729,8.79524
"NAS Parallel Benchmarks 3.4 - Test / Class: BT.C",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",55352.02,55178.43,55331.67
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",60196.55,60221.52,59954.16
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",58719.41,58492.48,58498.19
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",58555.59,58573.48,58583.24
"NAS Parallel Benchmarks 3.4 - Test / Class: CG.C",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",11117.35,11130.64,11186.66
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",11888.65,11913.81,11922.95
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",11680.34,11724.15,11582.84
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",11443.68,11362,11317.86
"NAS Parallel Benchmarks 3.4 - Test / Class: EP.C",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",3654.53,3728.67,3652.17
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",3708.11,3768.86,3748.6
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",3683.02,3729.89,3754.77
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",3766.52,3801.74,3627.65
"NAS Parallel Benchmarks 3.4 - Test / Class: EP.D",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",3828.39,3824.43,3818.57
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",3794.83,3762.84,3659.8
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",3757.89,3769.12,3610.34
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",3708.12,3654.54,3781.31
"NAS Parallel Benchmarks 3.4 - Test / Class: FT.C",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",26822.78,27242.9,27252.85
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",29768.92,29844.08,29527.65
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",28711.92,28953.34,28565.2
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",28831.25,28914.02,28930.3
"Stockfish - Chess Benchmark",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",53670194,48033671,52591951,47801625,51515760,52995322,53613845,51292486,49898830,51806662,53103281,52935079,49734548,51667141,50006274
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",51712859,46423516,50158958,50958160,52251619,50384353,50628564,49291254,50047740,48268718,46787620,50682005,47672517,53664934,50680332
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",50156532,50357429,49790227
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",48373579,49597845,49611040
"x265 - Video Input: Bosphorus 1080p",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",134.03,134.95,134.57
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",134.21,133.96,134.4
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",130.87,131.33,131.65
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",133.63,134.66,135.16
"7-Zip Compression - Test: Decompression Rating",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",158132,158158,158109
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",157016,156942,157058
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",157650,157425,157460
"x265 - Video Input: Bosphorus 4K",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",38.2,38.3,38.31
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",38.02,38.03,38.16
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",36.9,36.98,37.38
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",38.01,38.44,38.46
"NAS Parallel Benchmarks 3.4 - Test / Class: IS.D",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1513.32,1507.79,1495.31
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1627.37,1635.75,1642.9
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",1591.76,1591.88,1576.13
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1582.65,1581.7,1590.44
"NAS Parallel Benchmarks 3.4 - Test / Class: MG.C",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",24249.01,24225.44,24234.18
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",26576.67,26663.6,26549.1
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",25699.09,25712.68,25734.25
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",25628.96,25584.32,25655.5
"NAS Parallel Benchmarks 3.4 - Test / Class: SP.B",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",21286.32,21341.11,21357.41
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",23275.16,23244.35,23243.7
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",22468.1,22486.52,22355.8
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",22954.61,22909.71,22861.41
"NAS Parallel Benchmarks 3.4 - Test / Class: SP.C",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",14542.28,14492.03,14550.46
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",16101.91,16068.72,16120.38
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",15609,15522.56,15463.72
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",15590.85,15644.03,15596.01
"NAMD 3.0b6 - Input: ATPase with 327,506 Atoms",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",3.4456856569889,3.4247279053679,3.3597860488244
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",3.396116201512,3.693894362009,3.6479708162335,3.6122991561669,3.5721557602798,3.4758912185084,3.4245871660171,3.6023833368156,3.6154074202622,3.634605808827,3.6651786041534,3.5724365088722,3.7104925307785,3.4192476287518,3.620551699668
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",3.5783424402148,3.6106948782293,3.3282743563117,3.5549741197884,3.4624360314943,3.5495355432742,3.5089073613368,3.4932057148846,3.4998687549217
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",3.6142967120743,3.5335439325517,3.6660654319358
"7-Zip Compression - Test: Compression Rating",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",196169,195530,195055
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",200959,200636,200834
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",203919,202308,202967
"NAS Parallel Benchmarks 3.4 - Test / Class: LU.C",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",60217.91,59725.55,59819.43
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",63988.26,63933.29,64172.39
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",61955.42,62589.92,62580.94
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",61847.39,62110.55,62296.21
"NAMD 3.0b6 - Input: STMV with 1,066,628 Atoms",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",0.98123871575477,0.98097882066726,0.98031526939064
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",1.0241578350123,1.0252961055153,1.023315213832
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",0.99989001209867,0.99714815627306
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1.019331624254,1.0124101232913,1.0163324626752
"LULESH 2.0.3 - ",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",9967.0867,9907.6452,9961.8607
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",10600.832,10581.153,10553.563
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",9904.9194,9819.3908,9773.6052
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",10363.428,10211.775,10131.963
"OpenFOAM 10 - Input: motorBike - Execution Time",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"OpenFOAM 10 - Input: drivaerFastback, Small Mesh Size - Mesh Time",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"OpenFOAM 10 - Input: drivaerFastback, Small Mesh Size - Execution Time",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"OpenFOAM 10 - Input: drivaerFastback, Medium Mesh Size - Mesh Time",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"POV-Ray - Trace Time",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",16.051,16.161,16.09
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",16.408,16.38,16.398
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",16.304,16.323,16.331
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",16.103,16.095,16.202
"Y-Cruncher 0.8.5 - Pi Digits To Calculate: 500M",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",7.581,7.582,7.598
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",7.207,7.282,7.22
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",7.216,7.261,7.264
"Y-Cruncher 0.8.5 - Pi Digits To Calculate: 1B",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",16.371,16.458,16.526
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",15.581,15.652,15.584
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",15.384,15.409,15.486
"OpenFOAM 10 - Input: motorBike - Mesh Time",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"GROMACS - Input: water_GMX50_bare",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",1.924,1.928,1.93
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",2.01,2.008,2.01
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",1.996,1.996,1.995
"OpenFOAM 10 - Input: drivaerFastback, Medium Mesh Size - Execution Time",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 129 Cells Per Direction",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",14.0704851,13.9578943,14.2432861
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",12.846632,13.1186819,12.9575472
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",13.2739477,13.2138205,13.2909517
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",13.6703987,13.26334,13.2746773
"Xcompact3d Incompact3d 2021-03-11 - Input: input.i3d 193 Cells Per Direction",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",64.1175995,64.2740936,63.9473724
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",58.3824692,58.2843513,57.9285583
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",60.4906387,60.4705276
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",60.9093666,61.0847015,60.4036636
"Java JMH - Throughput",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",
"Timed LLVM Compilation 16.0 - Build System: Ninja",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",301.877,301.497,301.514
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",304.24,305.001
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",297.645,298.42,298.081
"Timed Linux Kernel Compilation 6.8 - Build: defconfig",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",48.358,47.437,47.47
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",49.051,47.891,47.833
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",48.374,47.491,47.483
"Timed Linux Kernel Compilation 6.8 - Build: allmodconfig",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",590.773,590.275,590.438
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",590.263,588.462,589.268
"Blender 4.2 - Blend File: BMW27 - Compute: CPU-Only",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",46.38,46.39,46.36
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",47.91,47.57,47.67
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",47.48,47.53,47.53
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",46.73,46.44,46.52
"Blender 4.2 - Blend File: Junkshop - Compute: CPU-Only",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",61.85,62.2,62.23
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",63.55,63.4,63.29
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",63.76,64.17,64.32
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",62.15,62.26,62.22
"Blender 4.2 - Blend File: Barbershop - Compute: CPU-Only",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",449.1,449.22,448.56
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",458.6,459.49,459.28
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",459.01,459.58,458.97
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",450.44,450.47,451.22
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Crown",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",36.5979,36.5891,36.4725
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",36.2152,36.2463,36.3022
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",35.1886,35.1729,35.187
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",36.0881,36.0954,36.1463
"Embree 4.3 - Binary: Pathtracer ISPC - Model: Asian Dragon",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",41.445,41.4828,41.5465
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",41.7744,41.7214,41.6755
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",40.0601,40.1094,40.0394
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",40.9409,40.9556,40.9377
"LuxCoreRender 2.6 - Scene: DLSC - Acceleration: CPU",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",5.38,5.41,5.4
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",5.35,5.38,5.34
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",5.34,5.34,5.34
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",5.43,5.43,5.41
"LuxCoreRender 2.6 - Scene: Danish Mood - Acceleration: CPU",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",4.64,4.62,4.61
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",4.62,4.76,4.56
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",4.58,4.64,4.58
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",4.67,4.69,4.7
"LuxCoreRender 2.6 - Scene: Orange Juice - Acceleration: CPU",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",8.64,8.66,8.61
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",8.54,8.56,8.54
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",8.46,8.47,8.44
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",8.66,8.63,8.63
"LuxCoreRender 2.6 - Scene: LuxCore Benchmark - Acceleration: CPU",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",5.17,5.15,5.13
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",5.06,5.03,5.04
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",5.07,5.02,5.06
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",5.14,5.15,5.14
"libxsmm 2-1.17-3645 - M N K: 64",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",237.1,237.4,236.7
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",259,257.9,259
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",250.7,248.9,249.5
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",253.3,253.3,253.2
"libxsmm 2-1.17-3645 - M N K: 128",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",472.6,472,471.3
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",508.7,509,508.9
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",491.3,491.6,490.5
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",506,506,505.7
"libxsmm 2-1.17-3645 - M N K: 32",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",120.9,120.9,121.1
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",132.6,132,132.1
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",127.4,126.5,127.1
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",128.1,127.9,127.9
"LuxCoreRender 2.6 - Scene: Rainbow Colors and Prism - Acceleration: CPU",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",19.94,19.9,20.12
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",19.92,19.92,19.69
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",19.32,19.56,19.1
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",20.26,20.19,19.79
"Build2 0.17 - Time To Compile",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",75.684,76.235,76.089
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",78.415,78.226,77.128
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",81.089,79.118
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",77.623,75.969,77.426
"Timed Gem5 Compilation 23.0.1 - Time To Compile",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",221.356,221.011,221.051
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",219.44,218.888,219.477
"Timed Node.js Compilation 21.7.2 - Time To Compile",
Lower Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",345.804,344.619,345.316
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",341.796,341.217,342.025
"Memcached 1.6.19 - Set To Get Ratio: 1:10",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",5889186.86,5914225.3,5943961.87
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",5853864.94,5891999.82,5878378.44
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",5699153.81,5685413.56,5697803.19
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",5888595.73,5921690.73,5885409.56
"Memcached 1.6.19 - Set To Get Ratio: 1:100",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",7509746.53,7505796.32,7507304.34
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",7438427.26,7474471.08,7583577.22
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",7295272.71,7492180.62,7265345.32
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",7485104.79,7784806.16,7671651.49
"simdjson 3.10 - Throughput Test: Kostya",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",7.73,7.79,7.61
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",7.59,7.49,7.64
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",7.52,7.43,7.56
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",7.5,7.7,7.68
"simdjson 3.10 - Throughput Test: TopTweet",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",13.56,13.6,13.61
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",13.08,13.1,13.55
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",13.02,13.01,12.61
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",13.58,13.51,13.04
"simdjson 3.10 - Throughput Test: LargeRandom",
Higher Results Are Better
"2 x 16GB DDR5-6000 CL30 F5-6000J3038F16G",2.07,2.15,2.14
"2 x 16GB DDR5-8000 CL36 CMH32GX5M2X8000C36",2.12,2.07,2.12
"2 x 24GB DDR5-8000 CL38 CMP48GX5M2X8000C38",2.11,2.11,2.1
"2 x 32GB DDR5-6400 CL32 CMK64GX5M2B6400C32",2.13,2.07,2.13