MUSE-Stable-IOMMU-irqbalance

2 x Intel Xeon E5-2620 v4 testing with a Supermicro X10DRG-O(T)+-CPU v1.00 (3.1 BIOS) and llvmpipe 11GB on Arch rolling via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/1910206-STAT-MUSESTA50&grr.

MUSE-Stable-IOMMU-irqbalanceProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionllvmpipeMUSE-Stable-IOMMU-irqbalance2 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 ST1000NX0313llvmpipe 11GBNVIDIA TU102 HD AudioASUS VH242H2 x Intel 10-Gigabit X540-AT2Arch rolling5.3.7-arch1-1-ARCH (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 10.1xfs1920x1080OpenBenchmarking.orgProcessor Details- Scaling Governor: intel_pstate powersaveSecurity Details- 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-Stable-IOMMU-irqbalancengc-tensorflow: Inception v4, FP32ngc-tensorflow: Inception v4, FP16ngc-tensorflow: Googlenet, FP32ngc-tensorflow: Googlenet, FP16ngc-tensorflow: ResNet-50, FP32ngc-tensorflow: ResNet-50, FP16ngc-tensorflow: VGG-16, FP32ngc-tensorflow: VGG-16, FP16ngc-tensorflow: AlexNet, FP32ngc-tensorflow: AlexNet, FP16llvmpipeMUSE-Stable-IOMMU-irqbalance77.10107.73725.20936.30262.13396.57148.90205.533170.034266.7077.17107.67726.33936.90260.70398.03149.07206.073167.034264.63OpenBenchmarking.org

NVIDIA GPU Cloud TensorFlow

Test: Inception v4, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP32llvmpipeMUSE-Stable-IOMMU-irqbalance20406080100SE +/- 0.12, N = 3SE +/- 0.19, N = 377.1077.17

NVIDIA GPU Cloud TensorFlow

Test: Inception v4, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16llvmpipeMUSE-Stable-IOMMU-irqbalance20406080100SE +/- 0.18, N = 3SE +/- 0.38, N = 3107.73107.67

NVIDIA GPU Cloud TensorFlow

Test: Googlenet, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP32llvmpipeMUSE-Stable-IOMMU-irqbalance160320480640800SE +/- 0.42, N = 3SE +/- 0.37, N = 3725.20726.33

NVIDIA GPU Cloud TensorFlow

Test: Googlenet, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16llvmpipeMUSE-Stable-IOMMU-irqbalance2004006008001000SE +/- 1.63, N = 3SE +/- 2.33, N = 3936.30936.90

NVIDIA GPU Cloud TensorFlow

Test: ResNet-50, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32llvmpipeMUSE-Stable-IOMMU-irqbalance60120180240300SE +/- 0.41, N = 3SE +/- 1.10, N = 3262.13260.70

NVIDIA GPU Cloud TensorFlow

Test: ResNet-50, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16llvmpipeMUSE-Stable-IOMMU-irqbalance90180270360450SE +/- 0.13, N = 3SE +/- 1.03, N = 3396.57398.03

NVIDIA GPU Cloud TensorFlow

Test: VGG-16, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32llvmpipeMUSE-Stable-IOMMU-irqbalance306090120150SE +/- 0.06, N = 3SE +/- 0.09, N = 3148.90149.07

NVIDIA GPU Cloud TensorFlow

Test: VGG-16, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16llvmpipeMUSE-Stable-IOMMU-irqbalance50100150200250SE +/- 0.94, N = 3SE +/- 0.93, N = 3205.53206.07

NVIDIA GPU Cloud TensorFlow

Test: AlexNet, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32llvmpipeMUSE-Stable-IOMMU-irqbalance7001400210028003500SE +/- 7.19, N = 3SE +/- 3.13, N = 33170.033167.03

NVIDIA GPU Cloud TensorFlow

Test: AlexNet, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16llvmpipeMUSE-Stable-IOMMU-irqbalance9001800270036004500SE +/- 5.48, N = 3SE +/- 3.69, N = 34266.704264.63

Phoronix Test Suite v10.8.4