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
c6i.4xlarge,
"Scikit-Learn 1.2.2 - Benchmark: 20 Newsgroups / Logistic Regression",
Lower Results Are Better
"c6i.4xlarge",50.257,50.134,50.351
"Intel Xeon Platinum 8375C - EFI VGA - Amazon EC2",49.205,49.702,48.994
"Scikit-Learn 1.2.2 - Benchmark: GLM",
Lower Results Are Better
"c6i.4xlarge",267.715,269.157,267.933
"Scikit-Learn 1.2.2 - Benchmark: SAGA",
Lower Results Are Better
"c6i.4xlarge",1194.898,1191.105,1188.709
"Scikit-Learn 1.2.2 - Benchmark: Tree",
Lower Results Are Better
"c6i.4xlarge",50.536,49.976,50.627
"Scikit-Learn 1.2.2 - Benchmark: Lasso",
Lower Results Are Better
"c6i.4xlarge",400.918,403.067,412.434
"Scikit-Learn 1.2.2 - Benchmark: Glmnet",
Lower Results Are Better
"c6i.4xlarge",
"Scikit-Learn 1.2.2 - Benchmark: Sparsify",
Lower Results Are Better
"c6i.4xlarge",106.459,106.324,106.2
"Scikit-Learn 1.2.2 - Benchmark: Plot Ward",
Lower Results Are Better
"c6i.4xlarge",74.64,74.669,74.591
"Scikit-Learn 1.2.2 - Benchmark: MNIST Dataset",
Lower Results Are Better
"c6i.4xlarge",85.575,85.431,85.675
"Scikit-Learn 1.2.2 - Benchmark: Plot Neighbors",
Lower Results Are Better
"c6i.4xlarge",206.354,203.294,204.709
"Scikit-Learn 1.2.2 - Benchmark: SGD Regression",
Lower Results Are Better
"c6i.4xlarge",124.76,126.15,124.852
"Scikit-Learn 1.2.2 - Benchmark: SGDOneClassSVM",
Lower Results Are Better
"c6i.4xlarge",296.563,297.773,296.741
"Scikit-Learn 1.2.2 - Benchmark: Plot Lasso Path",
Lower Results Are Better
"c6i.4xlarge",261.268,263.112,264.22
"Scikit-Learn 1.2.2 - Benchmark: Isolation Forest",
Lower Results Are Better
"c6i.4xlarge",350.532,348.279,350.905
"Scikit-Learn 1.2.2 - Benchmark: Plot Fast KMeans",
Lower Results Are Better
"c6i.4xlarge",199.274,200.609,197.192
"Scikit-Learn 1.2.2 - Benchmark: Text Vectorizers",
Lower Results Are Better
"c6i.4xlarge",70.87,70.994,70.943
"Scikit-Learn 1.2.2 - Benchmark: Plot Hierarchical",
Lower Results Are Better
"c6i.4xlarge",259.781,256.232,261.554
"Scikit-Learn 1.2.2 - Benchmark: Plot OMP vs. LARS",
Lower Results Are Better
"c6i.4xlarge",49.225,48.804,48.59
"Scikit-Learn 1.2.2 - Benchmark: Feature Expansions",
Lower Results Are Better
"c6i.4xlarge",222.624,222.465,222.345
"Scikit-Learn 1.2.2 - Benchmark: LocalOutlierFactor",
Lower Results Are Better
"c6i.4xlarge",75.14,75.53,75.07
"Scikit-Learn 1.2.2 - Benchmark: TSNE MNIST Dataset",
Lower Results Are Better
"c6i.4xlarge",318.181,318.942,319.209
"Scikit-Learn 1.2.2 - Benchmark: Isotonic / Logistic",
Lower Results Are Better
"c6i.4xlarge",1882.171,1902.146,1873.535
"Scikit-Learn 1.2.2 - Benchmark: Plot Incremental PCA",
Lower Results Are Better
"c6i.4xlarge",77.945,76.848,77.449
"Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting",
Lower Results Are Better
"c6i.4xlarge",104.162,104.316,103.614
"Scikit-Learn 1.2.2 - Benchmark: Plot Parallel Pairwise",
Lower Results Are Better
"c6i.4xlarge",
"Scikit-Learn 1.2.2 - Benchmark: Isotonic / Pathological",
Lower Results Are Better
"c6i.4xlarge",
"Scikit-Learn 1.2.2 - Benchmark: RCV1 Logreg Convergencet",
Lower Results Are Better
"c6i.4xlarge",
"Scikit-Learn 1.2.2 - Benchmark: Sample Without Replacement",
Lower Results Are Better
"c6i.4xlarge",151.788,154.331,153.51
"Scikit-Learn 1.2.2 - Benchmark: Covertype Dataset Benchmark",
Lower Results Are Better
"c6i.4xlarge",482.007,486.606,480.887
"Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting Adult",
Lower Results Are Better
"c6i.4xlarge",90.632,90.89,90.641
"Scikit-Learn 1.2.2 - Benchmark: Isotonic / Perturbed Logarithm",
Lower Results Are Better
"c6i.4xlarge",2262.091,2257.425,2237.715
"Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting Threading",
Lower Results Are Better
"c6i.4xlarge",96.532,93.989,95.42
"Scikit-Learn 1.2.2 - Benchmark: Plot Singular Value Decomposition",
Lower Results Are Better
"c6i.4xlarge",61.936,62.132,61.947
"Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting Higgs Boson",
Lower Results Are Better
"c6i.4xlarge",54.351,54.806,54.474
"Scikit-Learn 1.2.2 - Benchmark: Plot Polynomial Kernel Approximation",
Lower Results Are Better
"c6i.4xlarge",223.658,221.741,229.716
"Scikit-Learn 1.2.2 - Benchmark: Plot Non-Negative Matrix Factorization",
Lower Results Are Better
"c6i.4xlarge",
"Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting Categorical Only",
Lower Results Are Better
"c6i.4xlarge",17.971,18.081,18.168
"Scikit-Learn 1.2.2 - Benchmark: Kernel PCA Solvers / Time vs. N Samples",
Lower Results Are Better
"c6i.4xlarge",258.383,258.941,257.874
"Scikit-Learn 1.2.2 - Benchmark: Kernel PCA Solvers / Time vs. N Components",
Lower Results Are Better
"c6i.4xlarge",91.62,89.809,89.646
"Scikit-Learn 1.2.2 - Benchmark: Sparse Random Projections / 100 Iterations",
Lower Results Are Better
"c6i.4xlarge",842.623,857.524,858.816
"Mlpack Benchmark - Benchmark: scikit_ica",
Lower Results Are Better
"c6i.4xlarge",46.242118358612,45.88925242424,45.974276781082
"Mlpack Benchmark - Benchmark: scikit_qda",
Lower Results Are Better
"c6i.4xlarge",30.216769933701,30.174476385117,30.216842651367
"Mlpack Benchmark - Benchmark: scikit_svm",
Lower Results Are Better
"c6i.4xlarge",13.356073856354,13.476922750473,13.914701700211
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression",
Lower Results Are Better
"c6i.4xlarge",2.213577747345,2.2406206130981,2.2432427406311
"oneDNN 3.4 - Harness: Convolution Batch Shapes Auto - Engine: CPU",
Lower Results Are Better
"c6i.4xlarge",3.94488,3.97579,3.99432
"oneDNN 3.4 - Harness: IP Shapes 1D - Engine: CPU",
Lower Results Are Better
"c6i.4xlarge",2.04523,1.98688,2.00096
"oneDNN 3.4 - Harness: IP Shapes 3D - Engine: CPU",
Lower Results Are Better
"c6i.4xlarge",2.93617,2.94783,2.96374
"oneDNN 3.4 - Harness: Deconvolution Batch shapes_1d - Engine: CPU",
Lower Results Are Better
"c6i.4xlarge",6.82139,7.53056,8.88572,7.79682,8.38632,7.41782,7.78182,7.64768,7.48187,6.9696,7.08387,7.69367,8.45251,8.2533,7.88036
"oneDNN 3.4 - Harness: Deconvolution Batch shapes_3d - Engine: CPU",
Lower Results Are Better
"c6i.4xlarge",4.39581,4.38388,4.39216
"oneDNN 3.4 - Harness: Recurrent Neural Network Training - Engine: CPU",
Lower Results Are Better
"c6i.4xlarge",2976.68,2961.01,2965.16
"oneDNN 3.4 - Harness: Recurrent Neural Network Inference - Engine: CPU",
Lower Results Are Better
"c6i.4xlarge",1557.1,1559.11,1556.21