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.
HTML result view exported from: https://openbenchmarking.org/result/2403268-PTS-14900KTU66&grs .
14900k tues Processor Motherboard Chipset Memory Disk Graphics Audio Monitor OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution a b Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads) ASUS PRIME Z790-P WIFI (1402 BIOS) Intel Device 7a27 2 x 16GB DRAM-6000MT/s Corsair CMK32GX5M2B6000C36 Western Digital WD_BLACK SN850X 1000GB ASUS Intel RPL-S 31GB (1650MHz) Realtek ALC897 ASUS VP28U Ubuntu 23.10 6.8.0-phx (x86_64) GNOME Shell 45.1 X Server 1.21.1.7 4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa) GCC 13.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x122 - Thermald 2.5.4 Python Details - Python 3.11.6 Security Details - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Mitigation of Clear Register File + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
14900k tues tensorflow: CPU - 64 - AlexNet tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 16 - VGG-16 tensorflow: CPU - 512 - AlexNet blender: Barbershop - CPU-Only blender: Fishy Cat - CPU-Only tensorflow: CPU - 512 - GoogLeNet tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 256 - GoogLeNet blender: Classroom - CPU-Only tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 1 - GoogLeNet tensorflow: CPU - 32 - VGG-16 tensorflow: CPU - 16 - AlexNet blender: Pabellon Barcelona - CPU-Only tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 1 - AlexNet tensorflow: CPU - 32 - ResNet-50 blender: BMW27 - CPU-Only tensorflow: CPU - 64 - VGG-16 tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 tensorflow: CPU - 1 - ResNet-50 blender: Junkshop - CPU-Only tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 1 - VGG-16 a b 270.94 229.12 12.98 293.53 549.97 74.38 123.03 143.68 124 150.6 286.4 56.41 13.30 181.62 178.9 42.04 21.69 39.45 53.63 13.49 131.07 37.61 17.66 74.57 128.45 6.08 261.58 231.71 12.85 290.96 554.76 74.93 123.9 142.95 123.38 151.16 285.35 56.55 13.27 182 179.26 42.12 21.73 39.38 53.71 13.47 131.26 37.66 17.68 74.53 128.49 6.08 OpenBenchmarking.org
TensorFlow Device: CPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: AlexNet a b 60 120 180 240 300 270.94 261.58
TensorFlow Device: CPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: AlexNet a b 50 100 150 200 250 229.12 231.71
TensorFlow Device: CPU - Batch Size: 16 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: VGG-16 a b 3 6 9 12 15 SE +/- 0.04, N = 3 12.98 12.85
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 512 - Model: AlexNet a b 60 120 180 240 300 293.53 290.96
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Barbershop - Compute: CPU-Only a b 120 240 360 480 600 549.97 554.76
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only a b 20 40 60 80 100 74.38 74.93
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 512 - Model: GoogLeNet a b 30 60 90 120 150 123.03 123.90
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: GoogLeNet a b 30 60 90 120 150 143.68 142.95
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: GoogLeNet a b 30 60 90 120 150 124.00 123.38
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Classroom - Compute: CPU-Only a b 30 60 90 120 150 150.60 151.16
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: AlexNet a b 60 120 180 240 300 286.40 285.35
TensorFlow Device: CPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: GoogLeNet a b 13 26 39 52 65 56.41 56.55
TensorFlow Device: CPU - Batch Size: 32 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: VGG-16 a b 3 6 9 12 15 SE +/- 0.01, N = 3 13.30 13.27
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: AlexNet a b 40 80 120 160 200 181.62 182.00
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only a b 40 80 120 160 200 178.90 179.26
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a b 10 20 30 40 50 42.04 42.12
TensorFlow Device: CPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: AlexNet a b 5 10 15 20 25 SE +/- 0.02, N = 3 21.69 21.73
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b 9 18 27 36 45 39.45 39.38
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: BMW27 - Compute: CPU-Only a b 12 24 36 48 60 53.63 53.71
TensorFlow Device: CPU - Batch Size: 64 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: VGG-16 a b 3 6 9 12 15 13.49 13.47
TensorFlow Device: CPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: GoogLeNet a b 30 60 90 120 150 131.07 131.26
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 a b 9 18 27 36 45 37.61 37.66
TensorFlow Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a b 4 8 12 16 20 17.66 17.68
Blender Blend File: Junkshop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Junkshop - Compute: CPU-Only a b 20 40 60 80 100 74.57 74.53
TensorFlow Device: CPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: GoogLeNet a b 30 60 90 120 150 128.45 128.49
TensorFlow Device: CPU - Batch Size: 1 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: VGG-16 a b 2 4 6 8 10 SE +/- 0.00, N = 3 6.08 6.08
Phoronix Test Suite v10.8.5