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
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",