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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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January 11
  36 Minutes
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January 11
  36 Minutes
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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","b" Processor,,Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads),Intel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads) Motherboard,,ASRock X299 Steel Legend (P1.50 BIOS),ASRock X299 Steel Legend (P1.50 BIOS) Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers Memory,,4 x 8 GB 3600MT/s,4 x 8 GB 3600MT/s Disk,,Samsung SSD 970 PRO 512GB,Samsung SSD 970 PRO 512GB Graphics,,llvmpipe,llvmpipe Audio,,Realtek ALC1220,Realtek ALC1220 Network,,Intel I219-V + Intel I211,Intel I219-V + Intel I211 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 1.21.1.4,X Server 1.21.1.4 OpenGL,,4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits),4.5 Mesa 22.0.1 (LLVM 13.0.1 256 bits) Vulkan,,1.2.204,1.2.204 Compiler,,GCC 11.4.0,GCC 11.4.0 File-System,,ext4,ext4 Screen Resolution,,1024x768,1024x768 ,,"a","b" "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,10.62,11.284 "CacheBench - Test: Read (MB/s)",HIB,9086.408264,9090.522649 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,24.082,25.382 "CacheBench - Test: Write (MB/s)",HIB,34706.645719,34716.737299 "CacheBench - Test: Read / Modify / Write (MB/s)",HIB,102291.247696,104862.243767 "Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,10310000,10700000 "TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,4.87,4.67 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,14.42,13.74 "TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,13.92,13.68 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,150.54,142.73 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,37.63,36.97 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,7.68,7.8 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,117.54,115.71 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,31.31,30.91 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,, "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,, "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,, "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,, "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,, "Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,13720000,13460000 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,, "Llama.cpp - Model: llama-2-7b.Q4_0.gguf (Tokens/sec)",HIB,18.35,17.79 "Llama.cpp - Model: llama-2-13b.Q4_0.gguf (Tokens/sec)",HIB,9.68,9.9 "Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,12400000,12420000 "Speedb - Test: Random Fill (Op/s)",HIB,700951,697334 "Speedb - Test: Random Read (Op/s)",HIB,77800094,78077376 "Speedb - Test: Update Random (Op/s)",HIB,518065,518444 "Speedb - Test: Sequential Fill (Op/s)",HIB,749586,735121 "Speedb - Test: Random Fill Sync (Op/s)",HIB,5791,5755 "Speedb - Test: Read While Writing (Op/s)",HIB,4762697,4899297 "Speedb - Test: Read Random Write Random (Op/s)",HIB,2159010,2156356