AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1802 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 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 2401113-NE-FF610899407
ff
AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1802 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
,,"a","b"
Processor,,AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads),AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)
Motherboard,,ASUS ROG ZENITH II EXTREME (1802 BIOS),ASUS ROG ZENITH II EXTREME (1802 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,4 x 16 GB DRAM-3600MT/s Corsair CMT64GX4M4Z3600C16,4 x 16 GB DRAM-3600MT/s Corsair CMT64GX4M4Z3600C16
Disk,,Samsung SSD 980 PRO 500GB,Samsung SSD 980 PRO 500GB
Graphics,,AMD Radeon RX 5700 8GB (1750/875MHz),AMD Radeon RX 5700 8GB (1750/875MHz)
Audio,,AMD Navi 10 HDMI Audio,AMD Navi 10 HDMI Audio
Monitor,,ASUS VP28U,ASUS VP28U
Network,,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200,Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200
OS,,Ubuntu 22.04,Ubuntu 22.04
Kernel,,6.2.0-39-generic (x86_64),6.2.0-39-generic (x86_64)
Desktop,,GNOME Shell 42.2,GNOME Shell 42.2
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49),4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49)
Vulkan,,1.2.204,1.2.204
Compiler,,GCC 11.4.0,GCC 11.4.0
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
,,"a","b"
"TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,2.07,2.01
"rav1e - Speed: 10 (FPS)",HIB,8.630,8.869
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,13.95,14.19
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,61.41,60.42
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,30.68,31.16
"Speedb - Test: Random Read (Op/s)",HIB,129495776,131475734
"TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,6.90,6.81
"rav1e - Speed: 6 (FPS)",HIB,3.733,3.78
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,11.74,11.88
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,35.79,35.43
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,42.90,43.29
"Speedb - Test: Read Random Write Random (Op/s)",HIB,2422144,2403103
"Speedb - Test: Read While Writing (Op/s)",HIB,7991264,8052776
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,7.925,7.986
"CacheBench - Test: Read / Modify / Write (MB/s)",HIB,119470.658017,118721.395337
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.99,6.02
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,6.37,6.4
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,12.54,12.59
"CacheBench - Test: Write (MB/s)",HIB,61568.843405,61337.271973
"rav1e - Speed: 1 (FPS)",HIB,0.836,0.839
"Speedb - Test: Update Random (Op/s)",HIB,241710,240957
"CacheBench - Test: Read (MB/s)",HIB,11066.955437,11033.02931
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,20786667,20850000
"Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,19.36,19.32
"rav1e - Speed: 5 (FPS)",HIB,2.813,2.809
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,21960000,21990000
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,16.373,16.394
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,7.90,7.89
"Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,10.63,10.64
"Speedb - Test: Sequential Fill (Op/s)",HIB,254122,254353
"Speedb - Test: Random Fill Sync (Op/s)",HIB,5618,5613
"Speedb - Test: Random Fill (Op/s)",HIB,252455,252251
"Llama.cpp - Model: llama-2-70b-chat.Q5_0.gguf (Tokens/sec)",HIB,1.86,1.86
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,9.23,9.23
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,5.35,5.35
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,28950000,28950000