machine-learning-test-1

Intel Xeon Gold 5318N testing with a Supermicro X12SPM-LN4F v2.00 (1.1a BIOS) and llvmpipe on Rocky Linux 8.6 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 2207244-NE-MACHINELE53
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
llvmpipe - Intel Xeon Gold 5318N
July 22 2022
  8 Hours, 10 Minutes
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machine-learning-test-1OpenBenchmarking.orgPhoronix Test SuiteIntel Xeon Gold 5318N @ 3.40GHz (24 Cores / 48 Threads)Supermicro X12SPM-LN4F v2.00 (1.1a BIOS)Intel Device 09984 x 32 GB DDR4-2666MT/s Samsung M393A4K40DB3-CWE15362GB MR9560-16i + 960GB MR9560-16illvmpipe4 x Intel I350 + 2 x Broadcom BCM57414 NetXtreme-E 10Gb/25GbRocky Linux 8.64.18.0-372.16.1.el8_6.0.1.x86_64 (x86_64)GNOME Shell 3.32.2X Server 1.20.114.5 Mesa 21.3.4 (LLVM 13.0.1 256 bits)GCC 8.5.0 20210514 + CUDA 11.7xfs1600x900ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionMachine-learning-test-1 BenchmarksSystem Logs- Transparent Huge Pages: always- --build=x86_64-redhat-linux --disable-libmpx --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver - Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xd000331- Python 3.6.8- SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

machine-learning-test-1onednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - bf16bf16bf16 - CPUonednn: IP Shapes 3D - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch shapes_3d - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUnumpy: deepspeech: CPUrnnoise: mnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1plaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - ResNet 50 - CPUnumenta-nab: EXPoSEnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointopencv: DNN - Deep Neural Networkllvmpipe - Intel Xeon Gold 5318N1.619343.349700.6163070.7275735.410832.448503.433974.929052.282133.576190.4829840.4845611322.08787.2131325.467.3879211.134910.1504778.8050.6285521312.53791.9230.1817141.79489345.3784.7341329.2211.8714.53024.3885.9863.4572.63431.98813.985.134.735.054.776.522.6613.8734.5212.1710.1519.9524.2417.6815.0614.075.114.725.064.816.502.7514.5734.9913.0210.0421.2624.0617.9115.183897.379370.36572.829365.65733.136.281125.05415.7498.05382.74042.9768596OpenBenchmarking.org

SHOC Scalable HeterOgeneous Computing

The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.

Target: OpenCL - Benchmark: S3D

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Triad

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: FFT SP

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: MD5 Hash

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Reduction

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: GEMM SGEMM_N

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Max SP Flops

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Bus Speed Download

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Bus Speed Readback

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

Target: OpenCL - Benchmark: Texture Read Bandwidth

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

Backend: BLAS

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.36440.72881.09321.45761.822SE +/- 0.00306, N = 31.61934MIN: 1.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.75371.50742.26113.01483.7685SE +/- 0.00714, N = 33.34970MIN: 3.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.13870.27740.41610.55480.6935SE +/- 0.001246, N = 30.616307MIN: 0.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.16370.32740.49110.65480.8185SE +/- 0.004155, N = 30.727573MIN: 0.691. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N1.21742.43483.65224.86966.087SE +/- 0.00908, N = 35.41083MIN: 5.21. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.55091.10181.65272.20362.7545SE +/- 0.00448, N = 32.44850MIN: 2.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.77261.54522.31783.09043.863SE +/- 0.01555, N = 33.43397MIN: 3.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N1.1092.2183.3274.4365.545SE +/- 0.05677, N = 154.92905MIN: 3.611. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.51351.0271.54052.0542.5675SE +/- 0.01083, N = 32.28213MIN: 2.061. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.80461.60922.41383.21844.023SE +/- 0.01601, N = 33.57619MIN: 3.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.10870.21740.32610.43480.5435SE +/- 0.000928, N = 30.482984MIN: 0.421. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.1090.2180.3270.4360.545SE +/- 0.006125, N = 150.484561MIN: 0.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N30060090012001500SE +/- 7.26, N = 31322.08MIN: 1226.391. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N2004006008001000SE +/- 6.08, N = 3787.21MIN: 728.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N30060090012001500SE +/- 1.83, N = 31325.46MIN: 1236.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N246810SE +/- 0.00496, N = 37.38792MIN: 7.371. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N3691215SE +/- 0.00, N = 311.13MIN: 11.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N3691215SE +/- 0.00, N = 310.15MIN: 10.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N2004006008001000SE +/- 3.85, N = 3778.81MIN: 724.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.14140.28280.42420.56560.707SE +/- 0.001784, N = 30.628552MIN: 0.471. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N30060090012001500SE +/- 2.72, N = 31312.53MIN: 1227.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N2004006008001000SE +/- 3.04, N = 3791.92MIN: 736.691. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.04090.08180.12270.16360.2045SE +/- 0.000756, N = 30.181714MIN: 0.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUllvmpipe - Intel Xeon Gold 5318N0.40390.80781.21171.61562.0195SE +/- 0.00344, N = 31.79489MIN: 1.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -lpthread -ldl

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy Benchmarkllvmpipe - Intel Xeon Gold 5318N80160240320400SE +/- 4.47, N = 3345.37

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUllvmpipe - Intel Xeon Gold 5318N20406080100SE +/- 0.29, N = 384.73

R Benchmark

This test is a quick-running survey of general R performance Learn more via the OpenBenchmarking.org test page.

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ERROR: Rscript is not found on the system!

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28llvmpipe - Intel Xeon Gold 5318N714212835SE +/- 0.02, N = 329.221. (CC) gcc options: -O2 -pedantic -fvisibility=hidden -lm

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.

Model: SqueezeNet

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./linux_x86-64_benchmark_model: /lib64/libm.so.6: version `GLIBC_2.29' not found (required by ./linux_x86-64_benchmark_model)

Model: Inception V4

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./linux_x86-64_benchmark_model: /lib64/libm.so.6: version `GLIBC_2.29' not found (required by ./linux_x86-64_benchmark_model)

Model: NASNet Mobile

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./linux_x86-64_benchmark_model: /lib64/libm.so.6: version `GLIBC_2.29' not found (required by ./linux_x86-64_benchmark_model)

Model: Mobilenet Float

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./linux_x86-64_benchmark_model: /lib64/libm.so.6: version `GLIBC_2.29' not found (required by ./linux_x86-64_benchmark_model)

Model: Mobilenet Quant

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./linux_x86-64_benchmark_model: /lib64/libm.so.6: version `GLIBC_2.29' not found (required by ./linux_x86-64_benchmark_model)

Model: Inception ResNet V2

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./linux_x86-64_benchmark_model: /lib64/libm.so.6: version `GLIBC_2.29' not found (required by ./linux_x86-64_benchmark_model)

Tensorflow

This is a benchmark of the Tensorflow deep learning framework using the CIFAR10 data set. Learn more via the OpenBenchmarking.org test page.

Build: Cifar10

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

Model: AlexNet - Acceleration: CPU - Iterations: 100

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: AlexNet - Acceleration: CPU - Iterations: 200

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: AlexNet - Acceleration: CPU - Iterations: 1000

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: GoogleNet - Acceleration: CPU - Iterations: 100

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: GoogleNet - Acceleration: CPU - Iterations: 200

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Model: GoogleNet - Acceleration: CPU - Iterations: 1000

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3llvmpipe - Intel Xeon Gold 5318N0.4210.8421.2631.6842.105SE +/- 0.022, N = 41.871MIN: 1.81 / MAX: 3.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1llvmpipe - Intel Xeon Gold 5318N1.01932.03863.05794.07725.0965SE +/- 0.144, N = 44.530MIN: 4.04 / MAX: 6.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50llvmpipe - Intel Xeon Gold 5318N612182430SE +/- 0.76, N = 424.39MIN: 23.41 / MAX: 27.51. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0llvmpipe - Intel Xeon Gold 5318N1.34692.69384.04075.38766.7345SE +/- 0.112, N = 45.986MIN: 5.49 / MAX: 7.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224llvmpipe - Intel Xeon Gold 5318N0.77781.55562.33343.11123.889SE +/- 0.081, N = 43.457MIN: 3.2 / MAX: 4.691. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0llvmpipe - Intel Xeon Gold 5318N0.59271.18541.77812.37082.9635SE +/- 0.026, N = 42.634MIN: 2.47 / MAX: 3.051. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3llvmpipe - Intel Xeon Gold 5318N714212835SE +/- 0.69, N = 431.99MIN: 29.75 / MAX: 35.161. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenetllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.12, N = 813.98MIN: 13.34 / MAX: 26.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2llvmpipe - Intel Xeon Gold 5318N1.15432.30863.46294.61725.7715SE +/- 0.02, N = 85.13MIN: 4.98 / MAX: 17.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3llvmpipe - Intel Xeon Gold 5318N1.06432.12863.19294.25725.3215SE +/- 0.02, N = 84.73MIN: 4.42 / MAX: 14.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2llvmpipe - Intel Xeon Gold 5318N1.13632.27263.40894.54525.6815SE +/- 0.01, N = 85.05MIN: 4.87 / MAX: 9.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetllvmpipe - Intel Xeon Gold 5318N1.07332.14663.21994.29325.3665SE +/- 0.03, N = 84.77MIN: 4.53 / MAX: 9.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0llvmpipe - Intel Xeon Gold 5318N246810SE +/- 0.04, N = 86.52MIN: 6.28 / MAX: 191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefacellvmpipe - Intel Xeon Gold 5318N0.59851.1971.79552.3942.9925SE +/- 0.02, N = 82.66MIN: 2.58 / MAX: 6.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.34, N = 813.87MIN: 12.72 / MAX: 25.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16llvmpipe - Intel Xeon Gold 5318N816243240SE +/- 0.30, N = 834.52MIN: 33.31 / MAX: 47.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18llvmpipe - Intel Xeon Gold 5318N3691215SE +/- 0.27, N = 812.17MIN: 11.58 / MAX: 24.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetllvmpipe - Intel Xeon Gold 5318N3691215SE +/- 0.31, N = 810.15MIN: 8.99 / MAX: 15.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50llvmpipe - Intel Xeon Gold 5318N510152025SE +/- 0.40, N = 819.95MIN: 18.51 / MAX: 32.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tinyllvmpipe - Intel Xeon Gold 5318N612182430SE +/- 0.18, N = 824.24MIN: 22.48 / MAX: 43.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.08, N = 817.68MIN: 17.08 / MAX: 30.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400mllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.09, N = 815.06MIN: 14.45 / MAX: 25.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenetllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.11, N = 914.07MIN: 13.41 / MAX: 25.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2llvmpipe - Intel Xeon Gold 5318N1.14982.29963.44944.59925.749SE +/- 0.01, N = 95.11MIN: 4.92 / MAX: 18.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3llvmpipe - Intel Xeon Gold 5318N1.0622.1243.1864.2485.31SE +/- 0.02, N = 94.72MIN: 4.42 / MAX: 6.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2llvmpipe - Intel Xeon Gold 5318N1.13852.2773.41554.5545.6925SE +/- 0.04, N = 95.06MIN: 4.87 / MAX: 9.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnetllvmpipe - Intel Xeon Gold 5318N1.08232.16463.24694.32925.4115SE +/- 0.03, N = 94.81MIN: 4.48 / MAX: 8.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0llvmpipe - Intel Xeon Gold 5318N246810SE +/- 0.05, N = 96.50MIN: 6.16 / MAX: 11.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefacellvmpipe - Intel Xeon Gold 5318N0.61881.23761.85642.47523.094SE +/- 0.06, N = 92.75MIN: 2.58 / MAX: 6.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.48, N = 914.57MIN: 12.75 / MAX: 25.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16llvmpipe - Intel Xeon Gold 5318N816243240SE +/- 0.35, N = 934.99MIN: 33.32 / MAX: 46.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18llvmpipe - Intel Xeon Gold 5318N3691215SE +/- 0.35, N = 913.02MIN: 11.51 / MAX: 18.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetllvmpipe - Intel Xeon Gold 5318N3691215SE +/- 0.31, N = 910.04MIN: 8.98 / MAX: 15.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50llvmpipe - Intel Xeon Gold 5318N510152025SE +/- 0.31, N = 921.26MIN: 18.94 / MAX: 34.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tinyllvmpipe - Intel Xeon Gold 5318N612182430SE +/- 0.15, N = 924.06MIN: 22.41 / MAX: 37.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssdllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.09, N = 917.91MIN: 17.25 / MAX: 26.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400mllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.13, N = 915.18MIN: 14.39 / MAX: 26.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNetllvmpipe - Intel Xeon Gold 5318N8001600240032004000SE +/- 1.46, N = 33897.38MIN: 3863.3 / MAX: 3952.461. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2llvmpipe - Intel Xeon Gold 5318N80160240320400SE +/- 0.18, N = 3370.37MIN: 368.48 / MAX: 375.561. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2llvmpipe - Intel Xeon Gold 5318N1632486480SE +/- 0.19, N = 372.83MIN: 72.17 / MAX: 73.981. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1llvmpipe - Intel Xeon Gold 5318N80160240320400SE +/- 0.34, N = 3365.66MIN: 364.87 / MAX: 367.621. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUllvmpipe - Intel Xeon Gold 5318N816243240SE +/- 0.19, N = 333.13

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUllvmpipe - Intel Xeon Gold 5318N246810SE +/- 0.03, N = 36.28

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

Model: Face Detection 0106 FP16 - Device: CPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Face Detection 0106 FP32 - Device: CPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Person Detection 0106 FP16 - Device: CPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Person Detection 0106 FP32 - Device: CPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Face Detection 0106 FP16 - Device: Intel GPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Face Detection 0106 FP32 - Device: Intel GPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Person Detection 0106 FP16 - Device: Intel GPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Person Detection 0106 FP32 - Device: Intel GPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Age Gender Recognition Retail 0013 FP16 - Device: Intel GPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

Model: Age Gender Recognition Retail 0013 FP32 - Device: Intel GPU

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: openvino: line 2: ./openvino-github-2021/bin/intel64/Release/benchmark_app: No such file or directory

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

Benchmark: P1B2

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

Benchmark: P3B1

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

Benchmark: P3B2

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEllvmpipe - Intel Xeon Gold 5318N2004006008001000SE +/- 1.41, N = 31125.05

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropyllvmpipe - Intel Xeon Gold 5318N48121620SE +/- 0.07, N = 315.75

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed Gaussianllvmpipe - Intel Xeon Gold 5318N246810SE +/- 0.004, N = 38.053

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skylinellvmpipe - Intel Xeon Gold 5318N20406080100SE +/- 0.59, N = 382.74

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian Changepointllvmpipe - Intel Xeon Gold 5318N1020304050SE +/- 0.30, N = 342.98

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

Benchmark: scikit_ica

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'sklearn'

Benchmark: scikit_qda

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'sklearn'

Benchmark: scikit_svm

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'sklearn'

Benchmark: scikit_linearridgeregression

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'sklearn'

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

llvmpipe - Intel Xeon Gold 5318N: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'scipy'

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.6Test: DNN - Deep Neural Networkllvmpipe - Intel Xeon Gold 5318N2K4K6K8K10KSE +/- 92.86, N = 1585961. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

76 Results Shown

oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - bf16bf16bf16 - CPU
  IP Shapes 3D - bf16bf16bf16 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Convolution Batch Shapes Auto - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_1d - bf16bf16bf16 - CPU
  Deconvolution Batch shapes_3d - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPU
Numpy Benchmark
DeepSpeech
RNNoise
Mobile Neural Network:
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
PlaidML:
  No - Inference - VGG16 - CPU
  No - Inference - ResNet 50 - CPU
Numenta Anomaly Benchmark:
  EXPoSE
  Relative Entropy
  Windowed Gaussian
  Earthgecko Skyline
  Bayesian Changepoint
OpenCV