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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.

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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: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1802 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16 GB DRAM-3600MT/s Corsair CMT64GX4M4Z3600C16, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads), Motherboard: ASUS ROG ZENITH II EXTREME (1802 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16 GB DRAM-3600MT/s Corsair CMT64GX4M4Z3600C16, Disk: Samsung SSD 980 PRO 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS VP28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.49), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3840x2160 TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 2.07 |===================================================================== b . 2.01 |=================================================================== rav1e 0.7 Speed: 10 Frames Per Second > Higher Is Better a . 8.630 |================================================================== b . 8.869 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 13.95 |=================================================================== b . 14.19 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 61.41 |==================================================================== b . 60.42 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 30.68 |=================================================================== b . 31.16 |==================================================================== Speedb 2.7 Test: Random Read Op/s > Higher Is Better a . 129495776 |=============================================================== b . 131475734 |================================================================ TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 6.90 |===================================================================== b . 6.81 |==================================================================== rav1e 0.7 Speed: 6 Frames Per Second > Higher Is Better a . 3.733 |=================================================================== b . 3.780 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 11.74 |=================================================================== b . 11.88 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 35.79 |==================================================================== b . 35.43 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 42.90 |=================================================================== b . 43.29 |==================================================================== Speedb 2.7 Test: Read Random Write Random Op/s > Higher Is Better a . 2422144 |================================================================== b . 2403103 |================================================================= Speedb 2.7 Test: Read While Writing Op/s > Higher Is Better a . 7991264 |================================================================= b . 8052776 |================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 7.925 |=================================================================== b . 7.986 |==================================================================== CacheBench Test: Read / Modify / Write MB/s > Higher Is Better a . 119470.66 |================================================================ b . 118721.40 |================================================================ PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 5.99 |===================================================================== b . 6.02 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 6.37 |===================================================================== b . 6.40 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 12.54 |==================================================================== b . 12.59 |==================================================================== CacheBench Test: Write MB/s > Higher Is Better a . 61568.84 |================================================================= b . 61337.27 |================================================================= rav1e 0.7 Speed: 1 Frames Per Second > Higher Is Better a . 0.836 |==================================================================== b . 0.839 |==================================================================== Speedb 2.7 Test: Update Random Op/s > Higher Is Better a . 241710 |=================================================================== b . 240957 |=================================================================== CacheBench Test: Read MB/s > Higher Is Better a . 11066.96 |================================================================= b . 11033.03 |================================================================= Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better a . 20786667 |================================================================= b . 20850000 |================================================================= Llama.cpp b1808 Model: llama-2-7b.Q4_0.gguf Tokens Per Second > Higher Is Better a . 19.36 |==================================================================== b . 19.32 |==================================================================== rav1e 0.7 Speed: 5 Frames Per Second > Higher Is Better a . 2.813 |==================================================================== b . 2.809 |==================================================================== Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better a . 21960000 |================================================================= b . 21990000 |================================================================= Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 16.37 |==================================================================== b . 16.39 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 7.90 |===================================================================== b . 7.89 |===================================================================== Llama.cpp b1808 Model: llama-2-13b.Q4_0.gguf Tokens Per Second > Higher Is Better a . 10.63 |==================================================================== b . 10.64 |==================================================================== Speedb 2.7 Test: Sequential Fill Op/s > Higher Is Better a . 254122 |=================================================================== b . 254353 |=================================================================== Speedb 2.7 Test: Random Fill Sync Op/s > Higher Is Better a . 5618 |===================================================================== b . 5613 |===================================================================== Speedb 2.7 Test: Random Fill Op/s > Higher Is Better a . 252455 |=================================================================== b . 252251 |=================================================================== Llama.cpp b1808 Model: llama-2-70b-chat.Q5_0.gguf Tokens Per Second > Higher Is Better a . 1.86 |===================================================================== b . 1.86 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 9.23 |===================================================================== b . 9.23 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 5.35 |===================================================================== b . 5.35 |===================================================================== Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better a . 28950000 |================================================================= b . 28950000 |=================================================================