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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
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March 26
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March 26
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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" "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: VGG-16 (images/sec)",HIB,12.98,12.85 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,293.53,290.96 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,549.97,554.76 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,74.38,74.93 "TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,123.03,123.9 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,143.68,142.95 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,124,123.38 "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: 1 - Model: GoogLeNet (images/sec)",HIB,56.41,56.55 "TensorFlow - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec)",HIB,13.30,13.27 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,181.62,182 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,178.9,179.26 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,42.04,42.12 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,21.69,21.73 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,39.45,39.38 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,53.63,53.71 "TensorFlow - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec)",HIB,13.49,13.47 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,131.07,131.26 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,37.61,37.66 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,17.66,17.68 "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 "TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,6.08,6.08