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 |==================================================================