tf 5950X AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS) and AMD Radeon RX 6800 16GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2205192-PTS-TF5950X240&gru&rdt .
tf 5950X Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A B C D AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS) AMD Starship/Matisse 32GB 1000GB Sabrent Rocket 4.0 Plus AMD Radeon RX 6800 16GB (2475/1000MHz) AMD Navi 21 HDMI Audio ASUS MG28U Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 22.04 5.17.0-phx (x86_64) GNOME Shell 42.0 X Server + Wayland 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44) 1.2.204 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: 0xa201016 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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 + srbds: Not affected + tsx_async_abort: Not affected
tf 5950X tensorflow-lite: SqueezeNet tensorflow-lite: Inception V4 tensorflow-lite: NASNet Mobile tensorflow-lite: Mobilenet Float tensorflow-lite: Mobilenet Quant tensorflow-lite: Inception ResNet V2 A B C D 2234.30 29945.9 10800.8 1606.99 2111.04 28479.7 2226.39 29911.9 10749.2 1609.09 2106.30 28491.4 2220.69 29885.9 10804.2 1607.75 2132.58 28532.5 2238.58 29999.7 10859.5 1605.02 2142.10 28604.8 OpenBenchmarking.org
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: SqueezeNet A B C D 500 1000 1500 2000 2500 SE +/- 7.98, N = 3 SE +/- 3.98, N = 3 SE +/- 7.32, N = 3 SE +/- 3.67, N = 3 2234.30 2226.39 2220.69 2238.58
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception V4 A B C D 6K 12K 18K 24K 30K SE +/- 12.13, N = 3 SE +/- 47.15, N = 3 SE +/- 21.83, N = 3 SE +/- 13.56, N = 3 29945.9 29911.9 29885.9 29999.7
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: NASNet Mobile A B C D 2K 4K 6K 8K 10K SE +/- 26.67, N = 3 SE +/- 46.30, N = 3 SE +/- 32.50, N = 3 SE +/- 26.17, N = 3 10800.8 10749.2 10804.2 10859.5
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Float A B C D 300 600 900 1200 1500 SE +/- 2.04, N = 3 SE +/- 0.61, N = 3 SE +/- 2.21, N = 3 SE +/- 2.29, N = 3 1606.99 1609.09 1607.75 1605.02
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Mobilenet Quant A B C D 500 1000 1500 2000 2500 SE +/- 5.67, N = 3 SE +/- 26.08, N = 3 SE +/- 0.85, N = 3 SE +/- 11.17, N = 3 2111.04 2106.30 2132.58 2142.10
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 A B C D 6K 12K 18K 24K 30K SE +/- 59.25, N = 3 SE +/- 41.51, N = 3 SE +/- 23.06, N = 3 SE +/- 63.38, N = 3 28479.7 28491.4 28532.5 28604.8
Phoronix Test Suite v10.8.5