tensorflow_goutam

2 x AMD EPYC 9534 64-Core testing with a Tyrone SDA20A2GM-818 (3.2 BIOS) and ASPEED 192GB on AlmaLinux 9.5 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 2412051-RAMB-TENSORF86
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
VGG-16
December 05
  4 Minutes


tensorflow_goutamOpenBenchmarking.orgPhoronix Test Suite2 x AMD EPYC 9534 64-Core @ 2.45GHz (128 Cores / 256 Threads)Tyrone SDA20A2GM-818 (3.2 BIOS)AMD Device 14a41520GB8 x 3841GB Micron_7450_MTFDKCB3T8TFR + 480GB SAS 3808ASPEED 192GB (2100/1300MHz)DELL E170S2 x Intel I350AlmaLinux 9.55.14.0-503.14.1.el9_5.x86_64 (x86_64)GNOME Shell 40.10X Server1.4 (2.1 Mesa 10.5.4)OpenCL 2.1 AMD-APP (3625.0)GCC 11.5.0 20240719nfs1280x720ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLCompilerFile-SystemScreen ResolutionTensorflow_goutam BenchmarksSystem Logs- Transparent Huge Pages: always- FFLAGS="-O3 -march=znver4 -mtune=znver4 -mfma -mavx2 -m3dnow -fomit-frame-pointer -flto -ffast-math -I/include" CXXFLAGS="-O3 -march=znver4 -mtune=znver4 -mfma -mavx2 -m3dnow -fomit-frame-pointer -flto -ffast-math -I/include" LDFLAGS="-L/lib -flto" FCFLAGS="-O3 -march=znver4 -mtune=znver4 -mfma -mavx2 -m3dnow -fomit-frame-pointer -flto -ffast-math -I/include" CFLAGS="-O3 -march=znver4 -mtune=znver4 -mfma -mavx2 -m3dnow -fomit-frame-pointer -flto -ffast-math -I/include" - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa101148 - Python 3.9.19- 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: Mitigation of Safe RET + 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

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: VGG-16VGG-161428425670SE +/- 0.19, N = 360.69