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Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite.

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fg Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.50 BIOS) and llvmpipe on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8 GB 3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 b: Processor: Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads), Motherboard: ASRock X299 Steel Legend (P1.50 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 4 x 8 GB 3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits), Vulkan: 1.2.204, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1024x768 Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 10.62 |================================================================ b . 11.28 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 150.54 |=================================================================== b . 142.73 |================================================================ Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 24.08 |================================================================= b . 25.38 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 14.42 |==================================================================== b . 13.74 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 4.87 |===================================================================== b . 4.67 |================================================================== Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better a . 10310000 |=============================================================== b . 10700000 |================================================================= Llama.cpp b1808 Model: llama-2-7b.Q4_0.gguf Tokens Per Second > Higher Is Better a . 18.35 |==================================================================== b . 17.79 |================================================================== Speedb 2.7 Test: Read While Writing Op/s > Higher Is Better a . 4762697 |================================================================ b . 4899297 |================================================================== CacheBench Test: Read / Modify / Write MB/s > Higher Is Better a . 102291.25 |============================================================== b . 104862.24 |================================================================ Llama.cpp b1808 Model: llama-2-13b.Q4_0.gguf Tokens Per Second > Higher Is Better a . 9.68 |=================================================================== b . 9.90 |===================================================================== Speedb 2.7 Test: Sequential Fill Op/s > Higher Is Better a . 749586 |=================================================================== b . 735121 |================================================================== Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better a . 13720000 |================================================================= b . 13460000 |================================================================ TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 37.63 |==================================================================== b . 36.97 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 13.92 |==================================================================== b . 13.68 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 117.54 |=================================================================== b . 115.71 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 7.68 |==================================================================== b . 7.80 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 31.31 |==================================================================== b . 30.91 |=================================================================== Speedb 2.7 Test: Random Fill Sync Op/s > Higher Is Better a . 5791 |===================================================================== b . 5755 |===================================================================== Speedb 2.7 Test: Random Fill Op/s > Higher Is Better a . 700951 |=================================================================== b . 697334 |=================================================================== Speedb 2.7 Test: Random Read Op/s > Higher Is Better a . 77800094 |================================================================= b . 78077376 |================================================================= Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better a . 12400000 |================================================================= b . 12420000 |================================================================= Speedb 2.7 Test: Read Random Write Random Op/s > Higher Is Better a . 2159010 |================================================================== b . 2156356 |================================================================== Speedb 2.7 Test: Update Random Op/s > Higher Is Better a . 518065 |=================================================================== b . 518444 |=================================================================== CacheBench Test: Read MB/s > Higher Is Better a . 9086.41 |================================================================== b . 9090.52 |================================================================== CacheBench Test: Write MB/s > Higher Is Better a . 34706.65 |================================================================= b . 34716.74 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better