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.
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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:
Processor: AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb, Monitor: DELL E207WFP
OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1680x1050
b:
Processor: AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb, Monitor: DELL E207WFP
OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1680x1050
c:
Processor: AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb, Monitor: DELL E207WFP
OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1680x1050
d:
Processor: AMD EPYC 7343 16-Core @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Supermicro H12SSL-i v1.02 (2.4 BIOS), Memory: 8 x 64 GB DDR4-3200MT/s Samsung M393A8G40AB2-CWE, Disk: 2 x 1920GB SAMSUNG MZQL21T9HCJR-00A07, Graphics: astdrmfb, Monitor: DELL E207WFP
OS: AlmaLinux 9.1, Kernel: 5.14.0-162.12.1.el9_1.x86_64 (x86_64), Compiler: GCC 11.3.1 20220421, File-System: ext4, Screen Resolution: 1680x1050
InfluxDB 1.8.2
Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
val/sec > Higher Is Better
a . 1547894.4 |===============================================================
b . 1545780.8 |===============================================================
c . 1552035.6 |================================================================
d . 1560758.0 |================================================================
InfluxDB 1.8.2
Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000
val/sec > Higher Is Better
a . 1602099.9 |================================================================
b . 1593776.4 |================================================================
c . 1599391.9 |================================================================
d . 1600346.9 |================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
a . 79.28 |===================================================================
b . 79.78 |====================================================================
c . 79.99 |====================================================================
d . 80.22 |====================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 1
ms < Lower Is Better
a . 12.61 |====================================================================
b . 12.54 |====================================================================
c . 12.50 |===================================================================
d . 12.47 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
a . 221.86 |===================================================================
b . 221.77 |===================================================================
c . 216.37 |=================================================================
d . 217.59 |==================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 1
ms < Lower Is Better
a . 4.508 |==================================================================
b . 4.509 |==================================================================
c . 4.622 |====================================================================
d . 4.596 |====================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
a . 168.74 |==================================================================
b . 171.63 |===================================================================
c . 171.05 |===================================================================
d . 169.33 |==================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
a . 174.04 |===================================================================
b . 174.30 |===================================================================
c . 174.26 |===================================================================
d . 172.27 |==================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
a . 170.51 |===================================================================
b . 170.52 |===================================================================
c . 170.60 |===================================================================
d . 170.26 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
a . 169.73 |===================================================================
b . 169.65 |===================================================================
c . 169.97 |===================================================================
d . 169.31 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
a . 346.02 |===================================================================
b . 347.93 |===================================================================
c . 348.37 |===================================================================
d . 344.87 |==================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
a . 356.32 |==================================================================
b . 361.36 |===================================================================
c . 357.71 |==================================================================
d . 357.04 |==================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
a . 365.10 |===================================================================
b . 364.04 |===================================================================
c . 365.00 |===================================================================
d . 365.31 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
a . 373.13 |===================================================================
b . 373.72 |===================================================================
c . 372.93 |===================================================================
d . 372.93 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
a . 167.97 |===================================================================
b . 168.00 |===================================================================
c . 168.06 |===================================================================
d . 168.16 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
a . 168.37 |===================================================================
b . 168.64 |===================================================================
c . 168.79 |===================================================================
d . 168.37 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_fp32_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
a . 168.72 |==================================================================
b . 169.73 |===================================================================
c . 170.09 |===================================================================
d . 169.34 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
a . 382.09 |===================================================================
b . 380.65 |===================================================================
c . 381.06 |===================================================================
d . 380.02 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
a . 383.62 |===================================================================
b . 385.55 |===================================================================
c . 385.50 |===================================================================
d . 384.26 |===================================================================
Intel TensorFlow 2.12
Model: resnet50_int8_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
a . 391.68 |===================================================================
b . 392.07 |===================================================================
c . 392.38 |===================================================================
d . 391.38 |===================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
a . 32.23 |==================================================================
b . 33.16 |====================================================================
c . 32.06 |==================================================================
d . 31.86 |=================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 1
ms < Lower Is Better
a . 30.82 |====================================================================
b . 30.48 |===================================================================
c . 30.65 |====================================================================
d . 30.72 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
a . 69.04 |====================================================================
b . 69.16 |====================================================================
c . 69.01 |====================================================================
d . 69.07 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 1
ms < Lower Is Better
a . 14.44 |====================================================================
b . 14.42 |====================================================================
c . 14.43 |====================================================================
d . 14.38 |====================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
a . 1045.59 |==================================================================
b . 1048.20 |==================================================================
c . 1046.79 |==================================================================
d . 1046.40 |==================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 1
images/sec > Higher Is Better
a . 1933.37 |==================================================================
b . 1932.47 |==================================================================
c . 1933.58 |==================================================================
d . 1934.32 |==================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
a . 53.20 |====================================================================
b . 53.47 |====================================================================
c . 52.99 |===================================================================
d . 53.22 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
a . 53.10 |====================================================================
b . 52.91 |====================================================================
c . 53.11 |====================================================================
d . 53.27 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
a . 52.44 |====================================================================
b . 52.40 |====================================================================
c . 51.72 |===================================================================
d . 51.97 |===================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
a . 51.83 |====================================================================
b . 51.72 |====================================================================
c . 51.90 |====================================================================
d . 52.00 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
a . 113.31 |===================================================================
b . 111.63 |==================================================================
c . 113.63 |===================================================================
d . 113.36 |===================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
a . 117.00 |==================================================================
b . 117.81 |===================================================================
c . 116.93 |==================================================================
d . 117.89 |===================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
a . 118.48 |==================================================================
b . 118.93 |==================================================================
c . 117.61 |==================================================================
d . 119.83 |===================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
a . 118.25 |==================================================================
b . 119.10 |===================================================================
c . 119.82 |===================================================================
d . 118.23 |==================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
a . 932.19 |===================================================================
b . 929.58 |===================================================================
c . 933.76 |===================================================================
d . 931.22 |===================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
a . 981.32 |===================================================================
b . 984.41 |===================================================================
c . 982.66 |===================================================================
d . 981.61 |===================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
a . 998.43 |===================================================================
b . 997.73 |===================================================================
c . 999.93 |===================================================================
d . 999.92 |===================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
a . 990.35 |===================================================================
b . 986.72 |===================================================================
c . 988.15 |===================================================================
d . 988.72 |===================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 16
images/sec > Higher Is Better
a . 2003.49 |==================================================================
b . 2002.09 |==================================================================
c . 1989.00 |==================================================================
d . 1984.38 |=================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 32
images/sec > Higher Is Better
a . 2056.18 |================================================================
b . 2110.19 |==================================================================
c . 2037.86 |================================================================
d . 2033.57 |================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 64
images/sec > Higher Is Better
a . 2112.33 |==================================================================
b . 2120.77 |==================================================================
c . 2063.78 |================================================================
d . 2091.66 |=================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 96
images/sec > Higher Is Better
a . 2083.55 |==================================================================
b . 2081.87 |==================================================================
c . 2087.39 |==================================================================
d . 2071.18 |=================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
a . 51.92 |====================================================================
b . 52.07 |====================================================================
c . 52.06 |====================================================================
d . 52.04 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
a . 51.76 |====================================================================
b . 51.87 |====================================================================
c . 51.77 |====================================================================
d . 51.76 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_fp32_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
a . 51.76 |====================================================================
b . 51.78 |====================================================================
c . 51.59 |====================================================================
d . 51.62 |====================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
a . 119.18 |===================================================================
b . 119.18 |===================================================================
c . 119.33 |===================================================================
d . 119.45 |===================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
a . 119.90 |===================================================================
b . 119.61 |==================================================================
c . 119.91 |===================================================================
d . 120.56 |===================================================================
Intel TensorFlow 2.12
Model: inceptionv4_int8_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
a . 120.74 |===================================================================
b . 120.94 |===================================================================
c . 120.74 |===================================================================
d . 120.57 |===================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
a . 1001.61 |==================================================================
b . 1000.28 |==================================================================
c . 1001.43 |==================================================================
d . 1001.30 |==================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
a . 976.58 |===================================================================
b . 974.84 |===================================================================
c . 976.22 |===================================================================
d . 974.69 |===================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_fp32_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
a . 983.76 |===================================================================
b . 982.71 |===================================================================
c . 982.46 |===================================================================
d . 984.36 |===================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 256
images/sec > Higher Is Better
a . 2090.97 |==================================================================
b . 2106.54 |==================================================================
c . 2028.82 |================================================================
d . 2091.60 |==================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 512
images/sec > Higher Is Better
a . 2170.09 |==================================================================
b . 2179.09 |==================================================================
c . 2161.98 |=================================================================
d . 2171.79 |==================================================================
Intel TensorFlow 2.12
Model: mobilenetv1_int8_pretrained_model - Batch Size: 960
images/sec > Higher Is Better
a . 2133.18 |==================================================================
b . 2128.10 |==================================================================
c . 2137.20 |==================================================================
d . 2132.29 |==================================================================
QuantLib 1.30
MFLOPS > Higher Is Better
a . 3202.1 |===================================================================
b . 3206.1 |===================================================================
c . 3200.7 |===================================================================
d . 3192.7 |===================================================================
SQLite 3.41.2
Threads / Copies: 1
Seconds < Lower Is Better
SQLite 3.41.2
Threads / Copies: 2
Seconds < Lower Is Better
a . 2.150 |====================================================================
b . 2.041 |=================================================================
c . 2.106 |===================================================================
d . 2.039 |================================================================
SQLite 3.41.2
Threads / Copies: 4
Seconds < Lower Is Better
a . 3.178 |====================================================================
b . 2.938 |===============================================================
c . 2.904 |==============================================================
d . 2.712 |==========================================================
SQLite 3.41.2
Threads / Copies: 8
Seconds < Lower Is Better
a . 5.065 |====================================================================
b . 3.856 |====================================================
c . 3.966 |=====================================================
d . 3.761 |==================================================
SQLite 3.41.2
Threads / Copies: 16
Seconds < Lower Is Better
a . 8.476 |====================================================================
b . 6.209 |==================================================
c . 7.198 |==========================================================
d . 6.075 |=================================================
SQLite 3.41.2
Threads / Copies: 32
Seconds < Lower Is Better
a . 11.32 |=================================================================
b . 11.81 |====================================================================
c . 11.74 |====================================================================
d . 11.60 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 3.766 |====================================================================
b . 3.782 |====================================================================
c . 3.791 |====================================================================
d . 3.784 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 52.58 |====================================================================
b . 51.98 |===================================================================
c . 52.52 |====================================================================
d . 52.57 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 174.52 |===================================================================
b . 175.68 |===================================================================
c . 172.70 |==================================================================
d . 174.84 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 160.50 |===================================================================
b . 160.66 |===================================================================
c . 160.14 |===================================================================
d . 159.52 |===================================================================
SVT-AV1 1.5
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 9.027 |==================================================================
b . 9.064 |==================================================================
c . 9.121 |===================================================================
d . 9.280 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 95.93 |====================================================================
b . 95.71 |====================================================================
c . 96.33 |====================================================================
d . 95.65 |====================================================================
SVT-AV1 1.5
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 547.50 |===================================================================
b . 542.03 |==================================================================
c . 535.68 |==================================================================
d . 539.59 |==================================================================
SVT-AV1 1.5
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 548.01 |===================================================================
b . 542.63 |==================================================================
c . 545.86 |===================================================================
d . 547.43 |===================================================================