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 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 |=================================================================== QuantLib 1.30 MFLOPS > Higher Is Better a . 3202.1 |=================================================================== b . 3206.1 |=================================================================== c . 3200.7 |=================================================================== d . 3192.7 |=================================================================== 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 |=================================================================== 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 |================================================================== 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 |================================================================