raven tf

AMD Ryzen 5 3400G testing with a ASUS PRIME B450M-A (2006 BIOS) and ASUS AMD Picasso on Ubuntu 19.10 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 2205191-NE-RAVENTF9481
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raven tfOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads)ASUS PRIME B450M-A (2006 BIOS)AMD Raven/Raven22 x 8192 MB DDR4-3000MT/s CRUCIAL29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EEASUS AMD Picasso (1400/1500MHz)AMD Raven/Raven2/FenghuangSyncMasterRealtek RTL8111/8168/8411Ubuntu 19.105.3.0-46-generic (x86_64)GNOME Shell 3.34.1X Server1.1.107GCC 9.2.1 20191008ext41280x800ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionRaven Tf BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8108109- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + tsx_async_abort: Not affected

ABCResult OverviewPhoronix Test Suite100%100%101%101%101%TensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteMobilenet QuantSqueezeNetNASNet MobileMobilenet FloatInception V4I.R.V

raven tftensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2ABC11650.212928337360.66914.6010702.711956311700.812912537434.06913.2010701.211966411686.512913937488.16923.0410837.5119611OpenBenchmarking.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: SqueezeNetACB3K6K9K12K15KSE +/- 40.60, N = 3SE +/- 48.92, N = 3SE +/- 54.60, N = 311650.211686.511700.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4BCA30K60K90K120K150KSE +/- 340.80, N = 3SE +/- 544.50, N = 3SE +/- 487.29, N = 3129125129139129283

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet MobileABC8K16K24K32K40KSE +/- 44.19, N = 3SE +/- 25.73, N = 3SE +/- 18.47, N = 337360.637434.037488.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatBAC15003000450060007500SE +/- 16.60, N = 3SE +/- 14.89, N = 3SE +/- 22.00, N = 36913.206914.606923.04

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantBAC2K4K6K8K10KSE +/- 17.89, N = 3SE +/- 20.45, N = 3SE +/- 74.93, N = 310701.210702.710837.5

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2ACB30K60K90K120K150KSE +/- 722.98, N = 3SE +/- 591.61, N = 3SE +/- 552.08, N = 3119563119611119664