one jpeg xeon
2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Fedora Linux 39 via the Phoronix Test Suite.


a: 

	Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T

	OS: Fedora Linux 39, Kernel: 6.5.6-300.fc39.x86_64 (x86_64), Compiler: GCC 13.2.1 20231205, File-System: xfs, Screen Resolution: 1024x768

b: 

	Processor: 2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores / 256 Threads), Motherboard: Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS), Chipset: Intel Device 1bce, Memory: 1008GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS + 257GB Flash Drive, Graphics: ASPEED, Network: 2 x Intel X710 for 10GBASE-T

	OS: Fedora Linux 39, Kernel: 6.5.6-300.fc39.x86_64 (x86_64), Compiler: GCC 13.2.1 20231205, File-System: xfs, Screen Resolution: 1024x768


JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 80
MP/s > Higher Is Better
a . 15.05 |==================================================================
b . 15.43 |====================================================================


JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 90
MP/s > Higher Is Better
a . 13.12 |===================================================================
b . 13.34 |====================================================================


JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 80
MP/s > Higher Is Better
a . 14.99 |===============================================================
b . 16.07 |====================================================================


JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 90
MP/s > Higher Is Better
a . 13.19 |=============================================================
b . 14.61 |====================================================================


JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 100
MP/s > Higher Is Better
a . 10.99 |====================================================================
b . 10.89 |===================================================================


JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 100
MP/s > Higher Is Better
a . 11.06 |====================================================================
b . 11.10 |====================================================================


JPEG-XL Decoding libjxl 0.10.1
CPU Threads: 1
MP/s > Higher Is Better
a . 28.86 |====================================================================
b . 28.65 |====================================================================


JPEG-XL Decoding libjxl 0.10.1
CPU Threads: All
MP/s > Higher Is Better
a . 188.07 |===================================================================
b . 184.99 |==================================================================


oneDNN 3.4
Harness: IP Shapes 1D - Engine: CPU
ms < Lower Is Better
a . 1.07510 |==================================================================
b . 1.02938 |===============================================================


oneDNN 3.4
Harness: IP Shapes 3D - Engine: CPU
ms < Lower Is Better
a . 0.746474 |=================================================================
b . 0.742573 |=================================================================


oneDNN 3.4
Harness: Convolution Batch Shapes Auto - Engine: CPU
ms < Lower Is Better
a . 0.344297 |=============================================================
b . 0.369299 |=================================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_1d - Engine: CPU
ms < Lower Is Better
a . 71.71 |===================================================================
b . 72.83 |====================================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_3d - Engine: CPU
ms < Lower Is Better
a . 0.795720 |=================================================================
b . 0.784542 |================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Training - Engine: CPU
ms < Lower Is Better
a . 636.41 |=================================================================
b . 656.57 |===================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Inference - Engine: CPU
ms < Lower Is Better
a . 534.70 |================================================================
b . 556.59 |===================================================================


WavPack Audio Encoding 5.7
WAV To WavPack
Seconds < Lower Is Better
a . 20.66 |====================================================================
b . 20.69 |====================================================================