tflite 9800X3D

AMD Ryzen 7 9800X3D 8-Core testing with a ASRock X870E Taichi (3.09.AS03 BIOS) and AMD Radeon RX 7900 GRE 16GB on Ubuntu 24.04 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 2411069-PTS-TFLITE9856
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tflite 9800X3DOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 9800X3D 8-Core @ 5.27GHz (8 Cores / 16 Threads)ASRock X870E Taichi (3.09.AS03 BIOS)AMD Device 14d82 x 16GB DDR5-6000MT/s F5-6000J2836G16G2000GB Corsair MP700 PROAMD Radeon RX 7900 GRE 16GBAMD Navi 31 HDMI/DPDELL U2723QERealtek Device 8126 + MEDIATEK Device 0717Ubuntu 24.046.10.0-phx (x86_64)GNOME Shell 46.0X Server + Wayland4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57)GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionTflite 9800X3D BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xb404023- 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: Not affected + 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; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

ancResult OverviewPhoronix Test Suite100%102%103%105%107%TensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteTensorFlow LiteMobilenet QuantInception V4NASNet MobileSqueezeNetMobilenet FloatI.R.V

tflite 9800X3Dtensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Quantanc16579.614840.44915.48739.4181053.291700.6816419.614844.14984.44734.8081056.951591.7916144.4148735001.89735.8311061.911637.27OpenBenchmarking.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: Inception V4nca4K8K12K16K20K16419.616144.416579.6

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2nca3K6K9K12K15K14844.114873.014840.4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet Mobilenca110022003300440055004984.445001.894915.48

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet Floatnca160320480640800734.81735.83739.42

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetnca20040060080010001056.951061.911053.29

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet Quantnca4008001200160020001591.791637.271700.68