output

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/1910176-STAT-OUTPUT058.

outputProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolutionllvmpipe2 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 rolling5.3.6-arch1-1-ARCH (x86_64)KDE Plasma 5.16.5X Server 1.20.5modesetting 1.20.53.3 Mesa 19.2.1 (LLVM 9.0 256 bits)GCC 9.2.0 + CUDA 10.1xfs1920x1080OpenBenchmarking.org- 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

outputngc-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, FP32llvmpipe205.60149.004278.773166.73937.47725.80406.03261.57106.7776.83OpenBenchmarking.org

NVIDIA GPU Cloud TensorFlow

Test: VGG-16, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP16llvmpipe50100150200250SE +/- 0.61, N = 3205.60

NVIDIA GPU Cloud TensorFlow

Test: VGG-16, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: VGG-16, FP32llvmpipe306090120150SE +/- 0.15, N = 3149.00

NVIDIA GPU Cloud TensorFlow

Test: AlexNet, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP16llvmpipe9001800270036004500SE +/- 2.89, N = 34278.77

NVIDIA GPU Cloud TensorFlow

Test: AlexNet, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: AlexNet, FP32llvmpipe7001400210028003500SE +/- 4.15, N = 33166.73

NVIDIA GPU Cloud TensorFlow

Test: Googlenet, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP16llvmpipe2004006008001000SE +/- 0.37, N = 3937.47

NVIDIA GPU Cloud TensorFlow

Test: Googlenet, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Googlenet, FP32llvmpipe160320480640800SE +/- 0.21, N = 3725.80

NVIDIA GPU Cloud TensorFlow

Test: ResNet-50, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP16llvmpipe90180270360450SE +/- 0.84, N = 3406.03

NVIDIA GPU Cloud TensorFlow

Test: ResNet-50, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: ResNet-50, FP32llvmpipe60120180240300SE +/- 0.50, N = 3261.57

NVIDIA GPU Cloud TensorFlow

Test: Inception v4, FP16

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP16llvmpipe20406080100SE +/- 0.27, N = 3106.77

NVIDIA GPU Cloud TensorFlow

Test: Inception v4, FP32

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA GPU Cloud TensorFlow 18.09Test: Inception v4, FP32llvmpipe20406080100SE +/- 0.18, N = 376.83

Phoronix Test Suite v10.8.4