new week

ATests for a future article. MD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 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 2403307-NE-NEWWEEK0194
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CPU Massive 3 Tests
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a
March 29
  7 Hours, 47 Minutes
b
March 30
  7 Hours, 52 Minutes
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  7 Hours, 49 Minutes
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new week ATests for a future article. MD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads),AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads) Motherboard,,ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS),ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,8 x 16GB DDR4-2133MT/s Corsair CMK32GX4M2E3200C16,8 x 16GB DDR4-2133MT/s Corsair CMK32GX4M2E3200C16 Disk,,2048GB SOLIDIGM SSDPFKKW020X7,2048GB SOLIDIGM SSDPFKKW020X7 Graphics,,ASUS NVIDIA NV106 2GB,ASUS NVIDIA NV106 2GB Audio,,AMD Starship/Matisse,AMD Starship/Matisse Monitor,,VA2431,VA2431 Network,,2 x Intel X550 + Intel Wi-Fi 6 AX200,2 x Intel X550 + Intel Wi-Fi 6 AX200 OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.5.0-26-generic (x86_64),6.5.0-26-generic (x86_64) Desktop,,GNOME Shell 45.0,GNOME Shell 45.0 Display Server,,X Server + Wayland,X Server + Wayland Display Driver,,nouveau,nouveau OpenGL,,4.3 Mesa 23.2.1-1ubuntu3,4.3 Mesa 23.2.1-1ubuntu3 Compiler,,GCC 13.2.0,GCC 13.2.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "MariaDB mariadb-slap - Clients: 1024 (Queries/sec)",HIB,7,7 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,19.48,19.43 "MariaDB mariadb-slap - Clients: 512 (Queries/sec)",HIB,79,68 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,57.87,57.36 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,451.14,453.43 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,19.7,19.54 "MariaDB - Test: oltp_update_non_index - Threads: 768 (Queries/sec)",HIB,50894,108525 "MariaDB - Test: oltp_update_non_index - Threads: 64 (Queries/sec)",HIB,55705,40385 "MariaDB - Test: oltp_read_write - Threads: 512 (Queries/sec)",HIB,73844,89036 "MariaDB - Test: oltp_write_only - Threads: 64 (Queries/sec)",HIB,206145,163585 "MariaDB - Test: oltp_point_select - Threads: 512 (Queries/sec)",HIB,24260,24448 "MariaDB - Test: oltp_point_select - Threads: 64 (Queries/sec)",HIB,25236,24909 "MariaDB - Test: oltp_write_only - Threads: 768 (Queries/sec)",HIB,166357,177622 "MariaDB - Test: oltp_update_non_index - Threads: 512 (Queries/sec)",HIB,117854,110045 "MariaDB - Test: oltp_update_index - Threads: 768 (Queries/sec)",HIB,103448,96743 "MariaDB - Test: oltp_write_only - Threads: 512 (Queries/sec)",HIB,213913,153471 "MariaDB - Test: oltp_point_select - Threads: 768 (Queries/sec)",HIB,23180,23536 "MariaDB - Test: oltp_read_write - Threads: 64 (Queries/sec)",HIB,125688,120550 "MariaDB - Test: oltp_update_index - Threads: 64 (Queries/sec)",HIB,68422,54103 "MariaDB - Test: oltp_read_only - Threads: 64 (Queries/sec)",HIB,17560,17494 "MariaDB - Test: oltp_read_only - Threads: 768 (Queries/sec)",HIB,16718,16736 "MariaDB - Test: oltp_read_only - Threads: 512 (Queries/sec)",HIB,16961,16848 "MariaDB - Test: oltp_update_index - Threads: 512 (Queries/sec)",HIB,119718,98978 "PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.80,6.85 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.82,6.96 "PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.93,6.95 "PyTorch - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.90,6.92 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,152.96,152.53 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,20.17,19.99 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,12.32,12.36 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,12.30,12.26 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,12.29,12.33 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,12.27,12.38 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,144.93,144.76 "MariaDB - Test: oltp_read_write - Threads: 768 (Queries/sec)",HIB,, "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,122.94,123 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,58.15,59.03 "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,9.42,9.44 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,18.91,20.09 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,15.64,15.63 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,66.05,66.69 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,31.64,31.74 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,31.90,31.54 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,31.71,31.99 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,31.91,31.89 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,61.27,60.8 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,56.74,57.21 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,134.28,133.67 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,46.92,47.27 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,118.38,117.25 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,60.85,60.8 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,40.17,39.95 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,101.63,102.11 "Timed Mesa Compilation - Time To Compile (sec)",LIB,16.529,16.379 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,9.6,9.66 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,10.7,10.87 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,12.73,12.29