lxc testing on Debian GNU/Linux 12 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 2411145-NE-TEST9963061
Kernel Notes: Transparent Huge Pages: madvise Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0xb000040 Java Notes: OpenJDK Runtime Environment (build 17.0.13+11-Debian-2deb12u1) Python Notes: Python 3.11.2 Security Notes: gather_data_sampling: Not affected + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; IBRS_FW; STIBP: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable
2 x Intel Xeon E5-2680 v4 - mgag200drmfb - Dell
Changed Processor to 2 x Intel Xeon E5-2680 v4 @ 3.30GHz (28 Cores / 56 Threads).
nginx
This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
GraphicsMagick
This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
Glibc Benchmarks
Llama.cpp
Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.
Whisper.cpp
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 time-series 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.
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.
This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
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.
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.
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.
Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.
InfluxDB
This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.
Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.
This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.
Timed Node.js Compilation
This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.
Timed Wasmer Compilation
This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.
OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
Xcompact3d Incompact3d
Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.
AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.
QuantLib
NAMD
CLOMP
CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.
Rodinia
Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
miniBUDE
MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.
LeelaChessZero
PyBench
This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.
Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
NAS Parallel Benchmarks
NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
Connections: 4000
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
GraphicsMagick
This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.
Llama.cpp
Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.
Llamafile
Test: llava-v1.6-mistral-7b.Q8_0 - Acceleration: CPU
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./run-llava: line 2: ./llava-v1.6-mistral-7b.Q8_0.llamafile.86: No such file or directory
Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPU
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./run-wizardcoder: line 2: ./wizardcoder-python-34b-v1.0.Q6_K.llamafile.86: No such file or directory
Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./run-mistral: line 2: ./mistral-7b-instruct-v0.2.Q5_K_M.llamafile.86: No such file or directory
Test: llava-v1.5-7b-q4 - Acceleration: CPU
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./run-llava: line 2: ./llava-v1.6-mistral-7b.Q8_0.llamafile.86: No such file or directory
Llama.cpp
Model: llama-2-70b-chat.Q5_0.gguf
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: main: error: unable to load model
Model: llama-2-13b.Q4_0.gguf
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: main: error: unable to load model
Model: llama-2-7b.Q4_0.gguf
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: main: error: unable to load model
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: TypeError: load_all() missing 1 required positional argument: 'Loader'
Benchmark: scikit_svm
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: TypeError: load_all() missing 1 required positional argument: 'Loader'
Benchmark: scikit_qda
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: TypeError: load_all() missing 1 required positional argument: 'Loader'
Benchmark: scikit_ica
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: TypeError: load_all() missing 1 required positional argument: 'Loader'
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.
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
ONNX Runtime
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ResNet101_DUC_HDC-12 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: super-resolution-10 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: super-resolution-10 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: bertsquad-12 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: bertsquad-12 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: T5 Encoder - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: T5 Encoder - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ZFNet-512 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: ZFNet-512 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: yolov4 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: yolov4 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: GPT-2 - Device: CPU - Executor: Standard
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
Model: GPT-2 - Device: CPU - Executor: Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./onnx: line 2: ./onnxruntime/build/Linux/Release/onnxruntime_perf_test: No such file or directory
FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.11/collections/__init__.py)
FP16: No - Mode: Inference - Network: VGG16 - Device: CPU
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.11/collections/__init__.py)
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: GoogleNet - Acceleration: CPU - Iterations: 1000
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: CPU - Iterations: 200
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: CPU - Iterations: 100
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: CPU - Iterations: 1000
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: CPU - Iterations: 200
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: CPU - Iterations: 100
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
spaCy
The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: ValueError: 'in' is not a valid parameter name
TensorFlow
This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.
Device: GPU - Batch Size: 512 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 512 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 256 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 256 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 512 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 512 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 256 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 256 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 64 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 64 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 32 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 32 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 16 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 16 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 64 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 64 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 32 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 32 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 16 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 16 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 512 - Model: AlexNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 256 - Model: AlexNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 1 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 1 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 512 - Model: AlexNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 256 - Model: AlexNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 1 - Model: ResNet-50
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: CPU - Batch Size: 1 - Model: GoogLeNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 64 - Model: AlexNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 512 - Model: VGG-16
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 32 - Model: AlexNet
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Device: GPU - Batch Size: 256 - Model: VGG-16
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. The test quit with a non-zero exit status.
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.
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
Benchmark: Random Delete
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
Benchmark: Seek Random
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
Benchmark: Random Read
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
Benchmark: Random Fill
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
Benchmark: Overwrite
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
Benchmark: Fill Sync
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
Benchmark: Hot Read
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ./leveldb: 3: ./db_bench: not found
nginx
This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.
Connections: 20
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
Connections: 1
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
2 x Intel Xeon E5-2680 v4 - mgag200drmfb - Dell: The test quit with a non-zero exit status.
OpenFOAM
OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
Input: motorBike
2 x Intel Xeon E5-2680 v4: The test run did not produce a result.
OpenRadioss
OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.
Model: Chrysler Neon 1M
2 x Intel Xeon E5-2680 v4: The test run did not produce a result. E: ** ERROR: INPUT FILE /NEON1M11_0001.rad NOT FOUND
Model: Ford Taurus 10M
2 x Intel Xeon E5-2680 v4: The test run did not produce a result.
OpenFOAM
OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.
Input: drivaerFastback, Small Mesh Size
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: [0] --> FOAM FATAL ERROR:
LeelaChessZero
Radiance Benchmark
This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.
Test: SMP Parallel
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: make: time: No such file or directory
Test: Serial
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: make: time: No such file or directory
oneDNN
Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: driver: ERROR: unknown option: conv '--cfg=f32'
Harness: Convolution Batch conv_alexnet - Data Type: f32
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: driver: ERROR: unknown option: conv '--cfg=f32'
Harness: Deconvolution Batch deconv_1d - Data Type: f32
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: driver: ERROR: unknown option: deconv '--cfg=f32'
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: llvm-16.0.0.src/tools/llvm-readobj/ELFDumper.cpp:7556:1: fatal error: error writing to /tmp/ccjmapwn.s: No space left on device
Timed Linux Kernel Compilation
This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.
Time To Compile
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status. E: kernel/rcu/tree.c:5174: fatal error: error writing to /tmp/cc31CL9j.s: Success
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
SVT-VP9
This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.
1080p 8-bit YUV To VP9 Video Encode
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
SVT-HEVC
This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.
1080p 8-bit YUV To HEVC Video Encode
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.
SVT-AV1
1080p 8-bit YUV To AV1 Video Encode
2 x Intel Xeon E5-2680 v4: The test quit with a non-zero exit status.