2 x AMD EPYC 7F72 24-Core testing with a GIGABYTE MZ62-HD4-00 v01000100 (R18 BIOS) and ASPEED 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 2207197-NE-MACHINELE05
OS: Rocky Linux 8.6, Kernel: 4.18.0-372.13.1.el8_6.x86_64 (x86_64), Desktop: GNOME Shell 3.32.2, Display Server: X Server 1.20.11, Compiler: GCC 8.5.0 20210514 + CUDA 11.7, File-System: xfs, Screen Resolution: 800x600
Kernel Notes: Transparent Huge Pages: always Compiler Notes: --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 Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830104d Python Notes: Python 3.6.8 Security Notes: 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 Retpolines IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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: lczero: line 4: ./lc0: No such file or directory
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.
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
machine-learning-test-3: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
machine-learning-test-3: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
machine-learning-test-3: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
machine-learning-test-3: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
machine-learning-test-3: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
machine-learning-test-3: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
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.
machine-learning-test-3: 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.
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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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)
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
machine-learning-test-3: 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
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
machine-learning-test-3: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'numba'
Benchmark: P3B1
machine-learning-test-3: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'numba'
Benchmark: P3B2
machine-learning-test-3: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'numba'
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.
ONNX Runtime
ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.
Model: yolov4 - Device: CPU - Executor: Parallel
machine-learning-test-3: 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: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file "yolov4/yolov4.onnx" failed: No such file or directory
Model: yolov4 - Device: CPU - Executor: Standard
machine-learning-test-3: 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: onnxruntime/onnxruntime/test/onnx/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file "yolov4/yolov4.onnx" failed: No such file or directory
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.
machine-learning-test-3: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'