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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2205192-PTS-TF5950X240
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tf 5950XOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads)ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS)AMD Starship/Matisse32GB1000GB Sabrent Rocket 4.0 PlusAMD Radeon RX 6800 16GB (2475/1000MHz)AMD Navi 21 HDMI AudioASUS MG28URealtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.045.17.0-phx (x86_64)GNOME Shell 42.0X Server + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44)1.2.204GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionTf 5950X BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201016 - 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

ABCDResult OverviewPhoronix Test Suite100%100%101%101%102%TensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteMobilenet QuantNASNet MobileSqueezeNetI.R.VInception V4Mobilenet Float

tf 5950Xtensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2ABCD2234.3029945.910800.81606.992111.0428479.72226.3929911.910749.21609.092106.3028491.42220.6929885.910804.21607.752132.5828532.52238.5829999.710859.51605.022142.1028604.8OpenBenchmarking.org

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetABCD5001000150020002500SE +/- 7.98, N = 3SE +/- 3.98, N = 3SE +/- 7.32, N = 3SE +/- 3.67, N = 32234.302226.392220.692238.58
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetABCD400800120016002000Min: 2220.24 / Avg: 2234.3 / Max: 2247.88Min: 2218.52 / Avg: 2226.39 / Max: 2231.4Min: 2206.06 / Avg: 2220.69 / Max: 2228.23Min: 2233.5 / Avg: 2238.58 / Max: 2245.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4ABCD6K12K18K24K30KSE +/- 12.13, N = 3SE +/- 47.15, N = 3SE +/- 21.83, N = 3SE +/- 13.56, N = 329945.929911.929885.929999.7
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4ABCD5K10K15K20K25KMin: 29928.2 / Avg: 29945.87 / Max: 29969.1Min: 29829.4 / Avg: 29911.87 / Max: 29992.7Min: 29850.9 / Avg: 29885.9 / Max: 29926Min: 29977.1 / Avg: 29999.73 / Max: 30024

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileABCD2K4K6K8K10KSE +/- 26.67, N = 3SE +/- 46.30, N = 3SE +/- 32.50, N = 3SE +/- 26.17, N = 310800.810749.210804.210859.5
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileABCD2K4K6K8K10KMin: 10752.7 / Avg: 10800.83 / Max: 10844.8Min: 10663.8 / Avg: 10749.17 / Max: 10822.9Min: 10742.3 / Avg: 10804.2 / Max: 10852.3Min: 10820.2 / Avg: 10859.53 / Max: 10909.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatABCD30060090012001500SE +/- 2.04, N = 3SE +/- 0.61, N = 3SE +/- 2.21, N = 3SE +/- 2.29, N = 31606.991609.091607.751605.02
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatABCD30060090012001500Min: 1602.91 / Avg: 1606.99 / Max: 1609.09Min: 1607.97 / Avg: 1609.09 / Max: 1610.05Min: 1603.7 / Avg: 1607.75 / Max: 1611.31Min: 1602.37 / Avg: 1605.02 / Max: 1609.59

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantABCD5001000150020002500SE +/- 5.67, N = 3SE +/- 26.08, N = 3SE +/- 0.85, N = 3SE +/- 11.17, N = 32111.042106.302132.582142.10
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantABCD400800120016002000Min: 2105 / Avg: 2111.04 / Max: 2122.37Min: 2068.97 / Avg: 2106.3 / Max: 2156.51Min: 2130.93 / Avg: 2132.58 / Max: 2133.72Min: 2126.78 / Avg: 2142.1 / Max: 2163.83

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2ABCD6K12K18K24K30KSE +/- 59.25, N = 3SE +/- 41.51, N = 3SE +/- 23.06, N = 3SE +/- 63.38, N = 328479.728491.428532.528604.8
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2ABCD5K10K15K20K25KMin: 28369.5 / Avg: 28479.73 / Max: 28572.5Min: 28419.7 / Avg: 28491.37 / Max: 28563.5Min: 28501.9 / Avg: 28532.53 / Max: 28577.7Min: 28515.3 / Avg: 28604.8 / Max: 28727.3