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
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.
,,"a","b","c","d"
Processor,,AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads),AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads),AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads),AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads)
Motherboard,,Supermicro H12SSL-i v1.02 (2.4 BIOS),Supermicro H12SSL-i v1.02 (2.4 BIOS),Supermicro H12SSL-i v1.02 (2.4 BIOS),Supermicro H12SSL-i v1.02 (2.4 BIOS)
Memory,,8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE,8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE,8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE,8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE
Disk,,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07,2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07
Graphics,,astdrmfb,astdrmfb,astdrmfb,astdrmfb
Monitor,,DELL E207WFP,DELL E207WFP,DELL E207WFP,DELL E207WFP
OS,,AlmaLinux 9.1,AlmaLinux 9.1,AlmaLinux 9.1,AlmaLinux 9.1
Kernel,,5.14.0-162.12.1.el9_1.x86_64 (x86_64),5.14.0-162.12.1.el9_1.x86_64 (x86_64),5.14.0-162.12.1.el9_1.x86_64 (x86_64),5.14.0-162.12.1.el9_1.x86_64 (x86_64)
Compiler,,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,1680x1050,1680x1050,1680x1050,1680x1050
,,"a","b","c","d"
"QuantLib - (MFLOPS)",HIB,3202.1,3206.1,3200.7,3192.7
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,3.766,3.782,3.791,3.784
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,52.582,51.982,52.523,52.572
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,174.519,175.683,172.696,174.836
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,160.501,160.664,160.139,159.521
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,9.027,9.064,9.121,9.28
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,95.925,95.707,96.329,95.648
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,547.498,542.028,535.678,539.588
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,548.007,542.625,545.864,547.432
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1547894.4,1545780.8,1552035.6,1560758
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 1 (ms)",LIB,30.817,30.475,30.647,30.723
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,1602099.9,1593776.4,1599391.9,1600346.9
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 32 (images/sec)",HIB,53.10,52.91,53.11,53.27
"SQLite - Threads / Copies: 1 (sec)",LIB,,,,
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 32 (images/sec)",HIB,117.00,117.81,116.93,117.89
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 960 (images/sec)",HIB,2133.18,2128.1,2137.2,2132.29
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 96 (images/sec)",HIB,51.83,51.72,51.90,52.00
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 256 (images/sec)",HIB,119.18,119.18,119.33,119.45
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 512 (images/sec)",HIB,976.58,974.84,976.22,974.69
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 96 (images/sec)",HIB,990.35,986.72,988.15,988.72
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 96 (images/sec)",HIB,2083.55,2081.87,2087.39,2071.18
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 64 (images/sec)",HIB,170.509,170.516,170.603,170.261
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 96 (images/sec)",HIB,169.726,169.649,169.971,169.31
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 16 (images/sec)",HIB,168.744,171.632,171.049,169.333
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 32 (images/sec)",HIB,174.040,174.303,174.255,172.269
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 1 (ms)",LIB,4.508,4.509,4.622,4.596
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 1 (images/sec)",HIB,221.855,221.769,216.369,217.593
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 1 (ms)",LIB,12.613,12.535,12.502,12.466
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 96 (images/sec)",HIB,118.25,119.097759734,119.82,118.23
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 16 (images/sec)",HIB,346.017,347.926,348.365,344.868
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 32 (images/sec)",HIB,981.32,984.41,982.66,981.61
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 32 (images/sec)",HIB,356.317,361.362,357.714,357.035
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 32 (images/sec)",HIB,2056.18,2110.19,2037.86,2033.57
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 64 (images/sec)",HIB,365.095,364.043,365.003,365.305
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 512 (images/sec)",HIB,51.76,51.87,51.77,51.76
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 96 (images/sec)",HIB,373.126,373.723,372.933,372.928
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 960 (images/sec)",HIB,120.74,120.94,120.74,120.57
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 256 (images/sec)",HIB,167.968,167.998,168.055,168.16
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 256 (images/sec)",HIB,2090.97,2106.54,2028.82,2091.6
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 512 (images/sec)",HIB,168.371,168.641,168.788,168.365
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 1 (images/sec)",HIB,79.283,79.776,79.988,80.218
"Intel TensorFlow - Model: resnet50_fp32_pretrained_model - Batch Size: 960 (images/sec)",HIB,168.721,169.729,170.093,169.338
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 16 (images/sec)",HIB,113.31,111.63,113.63,113.36
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 256 (images/sec)",HIB,382.093,380.652,381.064,380.015
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 64 (images/sec)",HIB,118.48,118.93,117.61,119.83
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 512 (images/sec)",HIB,383.615,385.546,385.5,384.26
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 16 (images/sec)",HIB,932.19,929.58,933.76,931.22
"Intel TensorFlow - Model: resnet50_int8_pretrained_model - Batch Size: 960 (images/sec)",HIB,391.680,392.07,392.383,391.383
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 64 (images/sec)",HIB,998.43,997.73,999.93,999.92
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 1 (images/sec)",HIB,32.23,33.16,32.06,31.86
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 16 (images/sec)",HIB,2003.49,2002.09,1989,1984.38
"SQLite - Threads / Copies: 2 (sec)",LIB,2.150,2.041,2.106,2.039
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 64 (images/sec)",HIB,2112.33,2120.77,2063.78,2091.66
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 1 (images/sec)",HIB,69.04,69.16,69.01,69.07
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 256 (images/sec)",HIB,51.92,52.07,52.06,52.04
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 1 (ms)",LIB,14.436,14.415,14.426,14.377
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 960 (images/sec)",HIB,51.76,51.78,51.59,51.62
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 1 (images/sec)",HIB,1045.59,1048.2,1046.79,1046.4
"Intel TensorFlow - Model: inceptionv4_int8_pretrained_model - Batch Size: 512 (images/sec)",HIB,119.90,119.61,119.91,120.56
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 1 (images/sec)",HIB,1933.37,1932.47,1933.58,1934.32
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 256 (images/sec)",HIB,1001.61,1000.28,1001.43,1001.3
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 16 (images/sec)",HIB,53.20,53.47,52.99,53.22
"Intel TensorFlow - Model: mobilenetv1_fp32_pretrained_model - Batch Size: 960 (images/sec)",HIB,983.76,982.71,982.46,984.36
"SQLite - Threads / Copies: 4 (sec)",LIB,3.178,2.938,2.904,2.712
"Intel TensorFlow - Model: mobilenetv1_int8_pretrained_model - Batch Size: 512 (images/sec)",HIB,2170.09,2179.09,2161.98,2171.79
"Intel TensorFlow - Model: inceptionv4_fp32_pretrained_model - Batch Size: 64 (images/sec)",HIB,52.44,52.40,51.72,51.97
"SQLite - Threads / Copies: 8 (sec)",LIB,5.065,3.856,3.966,3.761
"SQLite - Threads / Copies: 16 (sec)",LIB,8.476,6.209,7.198,6.075
"SQLite - Threads / Copies: 32 (sec)",LIB,11.321,11.811,11.743,11.598