c6i.4xlarge

c6i.4xlarge

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2406248-NE-C6I4XLARG35
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  Test
  Duration
c6i.4xlarge
June 21
  13 Hours, 57 Minutes
Intel Xeon Platinum 8375C - EFI VGA - Amazon EC2
June 24
  4 Minutes
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  7 Hours
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c6i.4xlarge c6i.4xlarge ,,"c6i.4xlarge","Intel Xeon Platinum 8375C - EFI VGA - Amazon EC2" Processor,,Intel Xeon Platinum 8375C (8 Cores / 16 Threads),Intel Xeon Platinum 8375C (8 Cores / 16 Threads) Motherboard,,Amazon EC2 c6i.4xlarge (1.0 BIOS),Amazon EC2 c6i.4xlarge (1.0 BIOS) Chipset,,Intel 440FX 82441FX PMC,Intel 440FX 82441FX PMC Memory,,1 x 32 GB DDR4-3200MT/s,1 x 32 GB DDR4-3200MT/s Disk,,215GB Amazon Elastic Block Store,215GB Amazon Elastic Block Store Graphics,,EFI VGA,EFI VGA Network,,Amazon Elastic,Amazon Elastic OS,,Ubuntu 22.04,Ubuntu 22.04 Kernel,,6.5.0-1020-aws (x86_64),6.5.0-1020-aws (x86_64) Vulkan,,1.3.255,1.3.255 Compiler,,GCC 11.4.0,GCC 11.4.0 File-System,,ext4,ext4 Screen Resolution,,800x600,800x600 System Layer,,amazon,amazon ,,"c6i.4xlarge","Intel Xeon Platinum 8375C - EFI VGA - Amazon EC2" "Scikit-Learn - Benchmark: Isotonic / Perturbed Logarithm (sec)",LIB,2252.410, "Scikit-Learn - Benchmark: Isotonic / Logistic (sec)",LIB,1885.951, "Scikit-Learn - Benchmark: SAGA (sec)",LIB,1191.571, "Scikit-Learn - Benchmark: Sparse Random Projections / 100 Iterations (sec)",LIB,852.988, "Scikit-Learn - Benchmark: Isotonic / Pathological (sec)",LIB,, "Scikit-Learn - Benchmark: Covertype Dataset Benchmark (sec)",LIB,483.167, "Scikit-Learn - Benchmark: Lasso (sec)",LIB,405.473, "Scikit-Learn - Benchmark: Isolation Forest (sec)",LIB,349.905, "Scikit-Learn - Benchmark: SGDOneClassSVM (sec)",LIB,297.026, "Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,318.777, "Scikit-Learn - Benchmark: GLM (sec)",LIB,268.268, "Scikit-Learn - Benchmark: Plot Lasso Path (sec)",LIB,262.867, "Scikit-Learn - Benchmark: Plot Hierarchical (sec)",LIB,259.189, "Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Samples (sec)",LIB,258.399, "Scikit-Learn - Benchmark: Plot Polynomial Kernel Approximation (sec)",LIB,225.038, "Scikit-Learn - Benchmark: Feature Expansions (sec)",LIB,222.478, "Scikit-Learn - Benchmark: Plot Neighbors (sec)",LIB,204.786, "Scikit-Learn - Benchmark: Plot Fast KMeans (sec)",LIB,199.025, "Scikit-Learn - Benchmark: Sample Without Replacement (sec)",LIB,153.210, "Scikit-Learn - Benchmark: Hist Gradient Boosting Higgs Boson (sec)",LIB,54.544, "Scikit-Learn - Benchmark: SGD Regression (sec)",LIB,125.254, "Scikit-Learn - Benchmark: Sparsify (sec)",LIB,106.328, "Scikit-Learn - Benchmark: Hist Gradient Boosting (sec)",LIB,104.031, "Scikit-Learn - Benchmark: Hist Gradient Boosting Adult (sec)",LIB,90.721, "Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,85.560, "Scikit-Learn - Benchmark: Hist Gradient Boosting Threading (sec)",LIB,95.314, "Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Components (sec)",LIB,90.358, "Scikit-Learn - Benchmark: Plot Incremental PCA (sec)",LIB,77.414, "oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,7.73889, "Scikit-Learn - Benchmark: LocalOutlierFactor (sec)",LIB,75.25, "Scikit-Learn - Benchmark: Plot Ward (sec)",LIB,74.633, "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,30.20, "Scikit-Learn - Benchmark: Text Vectorizers (sec)",LIB,70.936, "Scikit-Learn - Benchmark: Plot Singular Value Decomposition (sec)",LIB,62.005, "oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,2967.62, "oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,1557.47, "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,2.23, "Scikit-Learn - Benchmark: Tree (sec)",LIB,50.380, "Scikit-Learn - Benchmark: 20 Newsgroups / Logistic Regression (sec)",LIB,50.247,49.300 "Scikit-Learn - Benchmark: Plot OMP vs. LARS (sec)",LIB,48.873, "Scikit-Learn - Benchmark: Plot Non-Negative Matrix Factorization (sec)",LIB,, "Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,46.04, "Scikit-Learn - Benchmark: Hist Gradient Boosting Categorical Only (sec)",LIB,18.073, "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,13.58, "oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,2.01102, "Scikit-Learn - Benchmark: RCV1 Logreg Convergencet (sec)",LIB,, "oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,2.94925, "oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,3.97166, "oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,4.39062, "Scikit-Learn - Benchmark: Plot Parallel Pairwise (sec)",LIB,, "Scikit-Learn - Benchmark: Glmnet (sec)",LIB,,