cxl march s 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 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.5.0-18-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 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.5.0-18-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 c: 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 8GB DDR4-3600MT/s, Disk: Samsung SSD 970 PRO 512GB, Graphics: llvmpipe, Audio: Realtek ALC1220, Network: Intel I219-V + Intel I211 OS: Ubuntu 22.04, Kernel: 6.5.0-18-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 WavPack Audio Encoding 5.7 WAV To WavPack Seconds < Lower Is Better a . 8.599 |==================================================================== b . 7.879 |============================================================== c . 8.398 |================================================================== JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 19.82 |=================================================================== b . 20.19 |==================================================================== c . 19.48 |================================================================== JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 21.61 |================================================================== b . 21.65 |================================================================== c . 22.14 |==================================================================== Chaos Group V-RAY 6.0 Mode: CPU vsamples > Higher Is Better a . 25221 |==================================================================== b . 24759 |=================================================================== c . 25187 |==================================================================== oneDNN 3.4 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 3.87905 |================================================================= b . 3.87937 |================================================================= c . 3.94537 |================================================================== oneDNN 3.4 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 3.25441 |================================================================= b . 3.28598 |================================================================== c . 3.24500 |================================================================= JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 19.17 |=================================================================== b . 19.34 |==================================================================== c . 19.11 |=================================================================== JPEG-XL Decoding libjxl 0.10.1 CPU Threads: 1 MP/s > Higher Is Better a . 52.35 |=================================================================== b . 52.82 |==================================================================== c . 52.46 |==================================================================== oneDNN 3.4 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 933.51 |=================================================================== b . 933.89 |=================================================================== c . 926.44 |================================================================== JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 14.99 |==================================================================== b . 14.96 |==================================================================== c . 14.88 |==================================================================== JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 22.36 |==================================================================== b . 22.24 |==================================================================== c . 22.40 |==================================================================== oneDNN 3.4 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 9.85195 |================================================================== b . 9.90094 |================================================================== c . 9.86349 |================================================================== JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 14.74 |==================================================================== b . 14.71 |==================================================================== c . 14.78 |==================================================================== JPEG-XL Decoding libjxl 0.10.1 CPU Threads: All MP/s > Higher Is Better a . 346.42 |=================================================================== b . 346.95 |=================================================================== c . 345.48 |=================================================================== oneDNN 3.4 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 1.46718 |================================================================== b . 1.46830 |================================================================== c . 1.47051 |================================================================== oneDNN 3.4 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 2.69616 |================================================================== b . 2.69801 |================================================================== c . 2.70043 |================================================================== oneDNN 3.4 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 1743.79 |================================================================== b . 1743.32 |================================================================== c . 1745.72 |==================================================================