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AMD EPYC 7343 16-Core testing with a Supermicro H12SSL-i v1.02 (2.4 BIOS) and astdrmfb on AlmaLinux 9.1 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2304307-NE-EPYCLAST283
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Date
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  Test
  Duration
a
April 30 2023
  7 Hours, 46 Minutes
b
April 30 2023
  2 Hours, 34 Minutes
c
April 30 2023
  2 Hours, 34 Minutes
d
April 30 2023
  2 Hours, 34 Minutes
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  3 Hours, 52 Minutes

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epyc last, "SQLite 3.41.2 - Threads / Copies: 1", Lower Results Are Better "a", "b", "c", "d", "SQLite 3.41.2 - Threads / Copies: 2", Lower Results Are Better "a",2.157,2.149,2.143 "b", "c", "d", "SQLite 3.41.2 - Threads / Copies: 4", Lower Results Are Better "a",2.92,3.025,3.228,3.22,3.275,3.297,3.132,3.159,3.252,3.108,3.232,3.068,3.359,3.268,3.129 "b", "c", "d", "SQLite 3.41.2 - Threads / Copies: 8", Lower Results Are Better "a",4.998,5.131,5.065 "b", "c", "d", "SQLite 3.41.2 - Threads / Copies: 16", Lower Results Are Better "a",8.535,8.396,8.915,8.965,8.923,8.889,8.422,8.409,8.392,8.385,8.432,8.83,6.695 "b", "c", "d", "SQLite 3.41.2 - Threads / Copies: 32", Lower Results Are Better "a",11.236,11.406,11.32 "b", "c", "d", "QuantLib 1.30 - ", Higher Results Are Better "a",3202.6,3199.5,3204.1 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 4 - Input: Bosphorus 4K", Higher Results Are Better "a",3.802,3.758,3.737 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 8 - Input: Bosphorus 4K", Higher Results Are Better "a",52.844,52.211,52.69 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 12 - Input: Bosphorus 4K", Higher Results Are Better "a",173.42,175.217,174.921 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 13 - Input: Bosphorus 4K", Higher Results Are Better "a",159.022,160.512,161.969 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p", Higher Results Are Better "a",9.066,9.05,8.965 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p", Higher Results Are Better "a",95.273,95.801,96.702 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p", Higher Results Are Better "a",548.394,546.252,547.848 "b", "c", "d", "SVT-AV1 1.5 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p", Higher Results Are Better "a",547.576,547.765,548.68 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 1", Higher Results Are Better "a",79.454,79.224,79.171 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 1", Lower Results Are Better "a",12.586,12.622,12.631 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 1", Higher Results Are Better "a",218.735,223.018,223.811 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 1", Lower Results Are Better "a",4.572,4.484,4.468 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 16", Higher Results Are Better "a",167.091,169.408,169.734 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 32", Higher Results Are Better "a",173.445,174.47,174.206 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 64", Higher Results Are Better "a",170.374,170.413,170.74 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 96", Higher Results Are Better "a",169.529,169.735,169.914 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 16", Higher Results Are Better "a",347.345,347.588,343.118 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 32", Higher Results Are Better "a",355.93,357.254,355.767 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 64", Higher Results Are Better "a",365.465,364.233,365.588 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 96", Higher Results Are Better "a",372.641,373.565,373.173 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 256", Higher Results Are Better "a",168.024,168.144,167.736 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 512", Higher Results Are Better "a",168.743,168.35,168.021 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_fp32_pretrained_model - Batch Size: 960", Higher Results Are Better "a",168.127,168.911,169.124 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 256", Higher Results Are Better "a",381.013,382.692,382.574 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 512", Higher Results Are Better "a",383.839,383.194,383.812 "b", "c", "d", "Intel TensorFlow 2.12 - Model: resnet50_int8_pretrained_model - Batch Size: 960", Higher Results Are Better "a",390.546,392.406,392.089 "b", "c", "d", "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 1", Higher Results Are Better "a",31.920558155759,32.027960152321,32.736924436016 "b",33.162242687823 "c",32.063080676051 "d",31.856093027709 "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 1", Lower Results Are Better "a",30.96,30.627,30.863 "b", "c", "d", "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 1", Higher Results Are Better "a",68.898248951706,69.086175099641,69.135758068655 "b",69.162066098883 "c",69.012135948821 "d",69.070947845803 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 1", Lower Results Are Better "a",14.387,14.417,14.503 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 1", Higher Results Are Better "a",1046.19,1043.67,1046.92 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 1", Higher Results Are Better "a",1934.48,1932.38,1933.25 "b", "c", "d", "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 16", Higher Results Are Better "a",53.332359841685,53.133192107488,53.121924718832 "b",53.469455155492 "c",52.991675164406 "d",53.224901086883 "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 32", Higher Results Are Better "a",53.259352544984,52.934936444528,53.090772655181 "b",52.905277789777 "c",53.114560831791 "d",53.265053218081 "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 64", Higher Results Are Better "a",52.455889206875,52.639825606775,52.221456621779 "b",52.396398401941 "c",51.718561785691 "d",51.973566538543 "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 96", Higher Results Are Better "a",51.767832660478,51.966517355819,51.759585606434 "b",51.719335360082 "c",51.903067042909 "d",52.001638651686 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 16", Higher Results Are Better "a",112.79200969312,113.814030739,113.3377749193 "b",111.6288862207 "c",113.63063608655 "d",113.36117376125 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 32", Higher Results Are Better "a",115.43325773584,117.46275155814,118.11078389701 "b",117.80631562341 "c",116.93384320646 "d",117.88554994279 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 64", Higher Results Are Better "a",117.43423711506,119.25449386767,118.74130668271 "b",118.92725011687 "c",117.61262989497 "d",119.8347669546 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 96", Higher Results Are Better "a",117.57023921412,119.01476144302,118.15290645918 "b", "c",119.81576499152 "d",118.2348981055 "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 16", Higher Results Are Better "a",932.73,932.39,931.44 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 32", Higher Results Are Better "a",982.99,979.13,981.84 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 64", Higher Results Are Better "a",999.52,998.05,997.72 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 96", Higher Results Are Better "a",992.87,989.14,989.05 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 16", Higher Results Are Better "a",2015.57,1975.06,2019.85 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 32", Higher Results Are Better "a",2043.61,2005.32,2111.88,1976.44,2070.39,2110.24,2075.35 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 64", Higher Results Are Better "a",2091,2123.58,2122.41 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 96", Higher Results Are Better "a",2082.03,2081.06,2087.56 "b", "c", "d", "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 256", Higher Results Are Better "a",51.933178245794,51.874882478629,51.937732770024 "b",52.071229643441 "c",52.06287035389 "d",52.042011804413 "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 512", Higher Results Are Better "a",51.847890214781,51.669934718359,51.753300356413 "b",51.865191741915 "c",51.774055338479 "d",51.760086878361 "Intel TensorFlow 2.12 - Model: inceptionv4_fp32_pretrained_model - Batch Size: 960", Higher Results Are Better "a",51.599153621559,51.703978711289,51.983302990421 "b",51.778442450129 "c",51.587139060919 "d",51.615390416006 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 256", Higher Results Are Better "a",118.6778804948,119.261076466,119.61010039592 "b",119.18351547021 "c",119.33103530632 "d",119.45002883263 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 512", Higher Results Are Better "a",119.62777618507,120.06053427769,120.01348792287 "b",119.60904968152 "c",119.90568703809 "d",120.56112331405 "Intel TensorFlow 2.12 - Model: inceptionv4_int8_pretrained_model - Batch Size: 960", Higher Results Are Better "a",120.55122240839,120.61011066227,121.05139612219 "b",120.93572497884 "c",120.73544283658 "d",120.57066510233 "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 256", Higher Results Are Better "a",1001.38,1001.69,1001.75 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 512", Higher Results Are Better "a",976.65,975.24,977.85 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 960", Higher Results Are Better "a",984.01,983.67,983.6 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 256", Higher Results Are Better "a",2061.77,2106.06,2105.09 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 512", Higher Results Are Better "a",2174.1,2164.81,2171.35 "b", "c", "d", "Intel TensorFlow 2.12 - Model: mobilenetv1_int8_pretrained_model - Batch Size: 960", Higher Results Are Better "a",2128.12,2136.59,2134.84 "b", "c", "d", "InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "a",1538524,1548147.9,1557011.4 "b", "c", "d", "InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000", Higher Results Are Better "a",1604764.3,1607150.7,1594384.6 "b", "c", "d",