MUSE-Zen-IOMMU-irqbalance

2 x Intel Xeon E5-2620 v4 testing with a Supermicro X10DRG-O(T)+-CPU v1.00 (3.1 BIOS) and eVGA NVIDIA GeForce RTX 2080 Ti 11GB on Arch rolling 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 1910191-STAT-MUSEZEN92
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
eVGA NVIDIA GeForce RTX 2080 Ti
October 19 2019
  40 Minutes
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MUSE-Zen-IOMMU-irqbalanceOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon E5-2620 v4 @ 2.10GHz (16 Cores / 32 Threads)Supermicro X10DRG-O(T)+-CPU v1.00 (3.1 BIOS)Intel Xeon E7 v4/Xeon64512MB2 x 1000GB Samsung SSD 860 + 1000GB Seagate ST1000NX0313eVGA NVIDIA GeForce RTX 2080 Ti 11GBNVIDIA TU102 HD AudioASUS VH242H2 x Intel 10-Gigabit X540-AT2Arch rolling5.3.7-zen1-1-zen (x86_64)X Server 1.20.5modesetting 1.20.53.3 Mesa 19.2.1 (LLVM 9.0 256 bits)GCC 9.2.0 + CUDA 10.1xfs1920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionMUSE-Zen-IOMMU-irqbalance BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave- l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling

MUSE-Zen-IOMMU-irqbalancengc-tensorflow: VGG-16, FP16ngc-tensorflow: VGG-16, FP32ngc-tensorflow: AlexNet, FP16ngc-tensorflow: AlexNet, FP32ngc-tensorflow: Googlenet, FP16ngc-tensorflow: Googlenet, FP32ngc-tensorflow: ResNet-50, FP16ngc-tensorflow: ResNet-50, FP32ngc-tensorflow: Inception v4, FP16ngc-tensorflow: Inception v4, FP32eVGA NVIDIA GeForce RTX 2080 Ti205.63148.904276.073167.80935.93727.30396.57260.57106.9376.80OpenBenchmarking.org

NVIDIA GPU Cloud TensorFlow

This test profile uses the NVIDIA GPU Cloud (NGC/nvcr.io) for running the TensorFlow image inside Docker for benchmarking. You must have already signed into NGC for this test profile to work. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16eVGA NVIDIA GeForce RTX 2080 Ti50100150200250SE +/- 0.74, N = 3205.63

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32eVGA NVIDIA GeForce RTX 2080 Ti306090120150SE +/- 0.00, N = 3148.90

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16eVGA NVIDIA GeForce RTX 2080 Ti9001800270036004500SE +/- 10.48, N = 34276.07

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32eVGA NVIDIA GeForce RTX 2080 Ti7001400210028003500SE +/- 1.46, N = 33167.80

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16eVGA NVIDIA GeForce RTX 2080 Ti2004006008001000SE +/- 0.27, N = 3935.93

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP32eVGA NVIDIA GeForce RTX 2080 Ti160320480640800SE +/- 1.44, N = 3727.30

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16eVGA NVIDIA GeForce RTX 2080 Ti90180270360450SE +/- 0.20, N = 3396.57

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32eVGA NVIDIA GeForce RTX 2080 Ti60120180240300SE +/- 1.09, N = 3260.57

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16eVGA NVIDIA GeForce RTX 2080 Ti20406080100SE +/- 0.26, N = 3106.93

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP32eVGA NVIDIA GeForce RTX 2080 Ti20406080100SE +/- 0.06, N = 376.80