ryzen tf AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800 XT on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2210089-PTS-RYZENTF105 .
ryzen tf Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A B C AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) AMD Device 14d8 32GB 1000GB Sabrent Rocket 4.0 Plus AMD Radeon RX 6800 XT (2575/1000MHz) AMD Navi 21 HDMI Audio ASUS MG28U Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 Ubuntu 22.04 6.0.0-060000-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 + Wayland 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48) 1.3.204 GCC 11.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa601203 Python Details - Python 3.10.6 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
ryzen tf tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 64 - AlexNet tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 512 - AlexNet tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 256 - ResNet-50 tensorflow: CPU - 512 - GoogLeNet A B C 172.71 258.36 342.05 433.46 450.88 142.50 42.25 144.72 43.66 142.61 43.95 139.39 44.52 139.61 172.69 258.39 341.62 433.97 450.87 142.13 42.2 144.66 43.74 142.48 43.94 139.43 44.51 139.51 172.82 258.52 342.35 433.68 451.18 142.76 42.32 144.54 43.66 142.6 43.99 139.51 44.52 139.76 OpenBenchmarking.org
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet A B C 40 80 120 160 200 SE +/- 0.05, N = 3 172.71 172.69 172.82
TensorFlow Device: CPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet A B C 60 120 180 240 300 SE +/- 0.15, N = 3 258.36 258.39 258.52
TensorFlow Device: CPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet A B C 70 140 210 280 350 SE +/- 0.26, N = 3 342.05 341.62 342.35
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet A B C 90 180 270 360 450 SE +/- 0.14, N = 3 433.46 433.97 433.68
TensorFlow Device: CPU - Batch Size: 512 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet A B C 100 200 300 400 500 SE +/- 0.13, N = 3 450.88 450.87 451.18
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet A B C 30 60 90 120 150 SE +/- 0.07, N = 3 142.50 142.13 142.76
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 A B C 10 20 30 40 50 SE +/- 0.01, N = 3 42.25 42.20 42.32
TensorFlow Device: CPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet A B C 30 60 90 120 150 SE +/- 0.11, N = 3 144.72 144.66 144.54
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 A B C 10 20 30 40 50 SE +/- 0.03, N = 3 43.66 43.74 43.66
TensorFlow Device: CPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet A B C 30 60 90 120 150 SE +/- 0.08, N = 3 142.61 142.48 142.60
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 A B C 10 20 30 40 50 SE +/- 0.03, N = 3 43.95 43.94 43.99
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet A B C 30 60 90 120 150 SE +/- 0.09, N = 3 139.39 139.43 139.51
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 A B C 10 20 30 40 50 SE +/- 0.01, N = 3 44.52 44.51 44.52
TensorFlow Device: CPU - Batch Size: 512 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet A B C 30 60 90 120 150 SE +/- 0.03, N = 3 139.61 139.51 139.76
Phoronix Test Suite v10.8.4