Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.
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Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.
a:
Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 6 x 8 GB DDR4-2400MT/s, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
b:
Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 6 x 8 GB DDR4-2400MT/s, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
c:
Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 6 x 8 GB DDR4-2400MT/s, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 80
MP/s > Higher Is Better
a . 19.84 |====================================================================
b . 19.98 |====================================================================
c . 19.79 |===================================================================
JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 90
MP/s > Higher Is Better
a . 17.07 |===============================================================
b . 18.29 |====================================================================
c . 18.03 |===================================================================
JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 80
MP/s > Higher Is Better
a . 20.16 |====================================================================
b . 20.27 |====================================================================
c . 19.98 |===================================================================
JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 90
MP/s > Higher Is Better
a . 18.27 |===================================================================
b . 18.46 |====================================================================
c . 18.54 |====================================================================
JPEG-XL libjxl 0.10.1
Input: PNG - Quality: 100
MP/s > Higher Is Better
a . 10.15 |====================================================================
b . 10.16 |====================================================================
c . 10.15 |====================================================================
JPEG-XL libjxl 0.10.1
Input: JPEG - Quality: 100
MP/s > Higher Is Better
a . 9.980 |====================================================================
b . 9.951 |====================================================================
c . 9.894 |===================================================================
JPEG-XL Decoding libjxl 0.10.1
CPU Threads: 1
MP/s > Higher Is Better
a . 42.83 |===================================================================
b . 43.40 |====================================================================
c . 43.15 |====================================================================
JPEG-XL Decoding libjxl 0.10.1
CPU Threads: All
MP/s > Higher Is Better
a . 312.56 |===================================================================
b . 308.99 |==================================================================
c . 310.09 |==================================================================
Chaos Group V-RAY 6.0
Mode: CPU
vsamples > Higher Is Better
a . 16310 |====================================================================
b . 16393 |====================================================================
c . 16310 |====================================================================
oneDNN 3.4
Harness: IP Shapes 1D - Engine: CPU
ms < Lower Is Better
a . 3.02860 |=================================================================
b . 3.07464 |==================================================================
c . 2.98909 |================================================================
oneDNN 3.4
Harness: IP Shapes 3D - Engine: CPU
ms < Lower Is Better
a . 3.07745 |==================================================================
b . 2.95195 |===============================================================
c . 2.95045 |===============================================================
oneDNN 3.4
Harness: Convolution Batch Shapes Auto - Engine: CPU
ms < Lower Is Better
a . 9.20322 |==================================================================
b . 6.80301 |=================================================
c . 6.66427 |================================================
oneDNN 3.4
Harness: Deconvolution Batch shapes_1d - Engine: CPU
ms < Lower Is Better
a . 9.99126 |==================================================================
b . 9.83349 |=================================================================
c . 9.90474 |=================================================================
oneDNN 3.4
Harness: Deconvolution Batch shapes_3d - Engine: CPU
ms < Lower Is Better
a . 9.42802 |==================================================================
b . 7.71940 |======================================================
c . 7.71798 |======================================================
oneDNN 3.4
Harness: Recurrent Neural Network Training - Engine: CPU
ms < Lower Is Better
a . 3966.09 |==================================================================
b . 3811.29 |===============================================================
c . 3780.95 |===============================================================
oneDNN 3.4
Harness: Recurrent Neural Network Inference - Engine: CPU
ms < Lower Is Better
a . 1940.14 |=======================================================
b . 1961.47 |========================================================
c . 2321.14 |==================================================================
WavPack Audio Encoding 5.7
WAV To WavPack
Seconds < Lower Is Better
a . 11.26 |====================================================================
b . 11.08 |===================================================================
c . 11.02 |===================================================================