Tests for a future article. Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2403268-PTS-14900KTU66
14900k tues
Tests for a future article. Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and ASUS Intel RPL-S 31GB on Ubuntu 23.10 via the Phoronix Test Suite.
,,"a","b"
Processor,,Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads),Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads)
Motherboard,,ASUS PRIME Z790-P WIFI (1402 BIOS),ASUS PRIME Z790-P WIFI (1402 BIOS)
Chipset,,Intel Device 7a27,Intel Device 7a27
Memory,,2 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36,2 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36
Disk,,Western Digital WD_BLACK SN850X 1000GB,Western Digital WD_BLACK SN850X 1000GB
Graphics,,ASUS Intel RPL-S 31GB (1650MHz),ASUS Intel RPL-S 31GB (1650MHz)
Audio,,Realtek ALC897,Realtek ALC897
Monitor,,ASUS VP28U,ASUS VP28U
OS,,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.8.0-phx (x86_64),6.8.0-phx (x86_64)
Desktop,,GNOME Shell 45.1,GNOME Shell 45.1
Display Server,,X Server 1.21.1.7,X Server 1.21.1.7
OpenGL,,4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa)
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,3840x2160,3840x2160
,,"a","b"
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,549.97,554.76
"TensorFlow - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec)",HIB,13.30,13.27
"TensorFlow - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec)",HIB,13.49,13.47
"TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,123.03,123.9
"TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,12.98,12.85
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,124,123.38
"TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,293.53,290.96
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,37.61,37.66
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,178.9,179.26
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,150.6,151.16
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,286.4,285.35
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,39.45,39.38
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,74.38,74.93
"Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,74.57,74.53
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,128.45,128.49
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,53.63,53.71
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,42.04,42.12
"TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,6.08,6.08
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,131.07,131.26
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,270.94,261.58
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,229.12,231.71
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,143.68,142.95
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,21.69,21.73
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,181.62,182
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,17.66,17.68
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,56.41,56.55