lcu-intel-python2

Intel Xeon Gold 5416S testing with a Supermicro X13SEW-TF v1.02 (2.1 BIOS) and ASPEED on Debian 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 2403236-NE-LCUINTELP04
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel Xeon Gold 5416S
March 22
  45 Minutes
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lcu-intel-python2 Intel Xeon Gold 5416S testing with a Supermicro X13SEW-TF v1.02 (2.1 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite. ,,"Intel Xeon Gold 5416S" Processor,,Intel Xeon Gold 5416S @ 2.00GHz (16 Cores / 32 Threads) Motherboard,,Supermicro X13SEW-TF v1.02 (2.1 BIOS) Chipset,,Intel Device 1bce Memory,,64GB Disk,,3841GB SAMSUNG MZ1L23T8HBLA-00A07 Graphics,,ASPEED Monitor,,DELL 1907FPV Network,,2 x Intel X550 + 2 x Intel I350 OS,,Debian 12 Kernel,,6.1.0-18-amd64 (x86_64) Compiler,,GCC 12.2.0 File-System,,xfs Screen Resolution,,1280x1024 ,,"Intel Xeon Gold 5416S" "Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,147.088 "Numpy Benchmark - (Score)",HIB,569.13 "Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,68.100 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,6.95 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,23.4 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,194 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,96.2 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,50.0 "PyPerformance - Benchmark: go (Milliseconds)",LIB,98.5 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,45.4 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,185 "PyPerformance - Benchmark: float (Milliseconds)",LIB,45.2 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,10.5 "Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,30.290 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,13.9 "Cython Benchmark - Test: N-Queens (sec)",LIB,18.803 "Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,23.062 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,185 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,55.3 "PyBench - Total For Average Test Times (Milliseconds)",LIB,561 "Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,11.061 "Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,6.026 "Scikit-Learn - Benchmark: Plot Non-Negative Matrix Factorization (sec)",LIB, "Scikit-Learn - Benchmark: RCV1 Logreg Convergencet (sec)",LIB, "Scikit-Learn - Benchmark: Hist Gradient Boosting Higgs Boson (sec)",LIB, "Scikit-Learn - Benchmark: Isolation Forest (sec)",LIB, "Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Components (sec)",LIB, "Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Samples (sec)",LIB, "Scikit-Learn - Benchmark: Sample Without Replacement (sec)",LIB, "Scikit-Learn - Benchmark: SGD Regression (sec)",LIB, "Scikit-Learn - Benchmark: Tree (sec)",LIB, "Scikit-Learn - Benchmark: Plot Parallel Pairwise (sec)",LIB, "Scikit-Learn - Benchmark: Hist Gradient Boosting (sec)",LIB, "Scikit-Learn - Benchmark: LocalOutlierFactor (sec)",LIB, "Scikit-Learn - Benchmark: Plot Neighbors (sec)",LIB, "Scikit-Learn - Benchmark: Plot Incremental PCA (sec)",LIB, "Scikit-Learn - Benchmark: Feature Expansions (sec)",LIB, "Scikit-Learn - Benchmark: Text Vectorizers (sec)",LIB, "Scikit-Learn - Benchmark: Hist Gradient Boosting Adult (sec)",LIB, "Scikit-Learn - Benchmark: Covertype Dataset Benchmark (sec)",LIB, "Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB, "Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB, "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB, "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB, "Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB, "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB, "Scikit-Learn - Benchmark: Hist Gradient Boosting Threading (sec)",LIB, "Scikit-Learn - Benchmark: Glmnet (sec)",LIB, "Scikit-Learn - Benchmark: Sparse Random Projections / 100 Iterations (sec)",LIB, "Scikit-Learn - Benchmark: Hist Gradient Boosting Categorical Only (sec)",LIB, "Scikit-Learn - Benchmark: Plot Polynomial Kernel Approximation (sec)",LIB, "Scikit-Learn - Benchmark: 20 Newsgroups / Logistic Regression (sec)",LIB, "Scikit-Learn - Benchmark: Isotonic / Perturbed Logarithm (sec)",LIB, "Scikit-Learn - Benchmark: Isotonic / Pathological (sec)",LIB, "Scikit-Learn - Benchmark: Isotonic / Logistic (sec)",LIB, "Scikit-Learn - Benchmark: Plot OMP vs. LARS (sec)",LIB, "Scikit-Learn - Benchmark: Plot Hierarchical (sec)",LIB, "Scikit-Learn - Benchmark: Plot Fast KMeans (sec)",LIB, "Scikit-Learn - Benchmark: Plot Lasso Path (sec)",LIB, "Scikit-Learn - Benchmark: Lasso (sec)",LIB, "Scikit-Learn - Benchmark: SAGA (sec)",LIB, "Scikit-Learn - Benchmark: GLM (sec)",LIB, "Scikit-Learn - Benchmark: Plot Ward (sec)",LIB, "Scikit-Learn - Benchmark: Sparsify (sec)",LIB, "Scikit-Learn - Benchmark: Plot Singular Value Decomposition (sec)",LIB, "Scikit-Learn - Benchmark: SGDOneClassSVM (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB, "PyHPC Benchmarks - 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