Desktop machine learning

AMD Ryzen 9 3900X 12-Core testing with a MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS) and NVIDIA GeForce RTX 3060 12GB on Ubuntu 23.10 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 2405015-VPA1-DESKTOP46
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 2 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 3 Tests
Programmer / Developer System Benchmarks 2 Tests
Python 5 Tests
Server CPU Tests 3 Tests
Single-Threaded 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
mantic
February 23
  15 Hours, 54 Minutes
mantic-no-omit-framepointer
February 24
  19 Hours, 11 Minutes
noble
April 30
  14 Hours, 21 Minutes
Invert Hiding All Results Option
  16 Hours, 28 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

Desktop machine learning, "Scikit-Learn 1.2.2 - Benchmark: GLM", Lower Results Are Better "mantic",295.164,291.588,294.042 "mantic-no-omit-framepointer",294.202,297.23,293.856 "noble",271.441,269.771,268.205 "Scikit-Learn 1.2.2 - Benchmark: SAGA", Lower Results Are Better "mantic",877.847,837.585,888.854,845.371,883.92,874.532 "mantic-no-omit-framepointer",862.698,878.24,880.529 "noble",887.055,869.824,851.227 "Scikit-Learn 1.2.2 - Benchmark: Tree", Lower Results Are Better "mantic",47.222,49.933,47.734,48.463 "mantic-no-omit-framepointer",53.86,52.192,56.043,52.627,52.798,53.754,56.868,52.384,52.554,52.915,49.513,53.687,50.689,51.175,53.477 "noble",46.026,47.752,47.32 "Scikit-Learn 1.2.2 - Benchmark: Lasso", Lower Results Are Better "mantic",513.277,505.701,516.566 "mantic-no-omit-framepointer",505.224,516.468,506.918 "noble",346.318,347.184,342.698 "Scikit-Learn 1.2.2 - Benchmark: Sparsify", Lower Results Are Better "mantic",128.918,123.527,130.132,124.505,129.327 "mantic-no-omit-framepointer",129.113,123.121,122.638,127.775,124.564 "noble",126.306,124.1,124.8 "Scikit-Learn 1.2.2 - Benchmark: Plot Ward", Lower Results Are Better "mantic",57.945,57.407,58.12 "mantic-no-omit-framepointer",57.813,57.712,57.111 "noble",56.499,56.105,55.792 "Scikit-Learn 1.2.2 - Benchmark: MNIST Dataset", Lower Results Are Better "mantic",67.765,64.832,64.084,66.369 "mantic-no-omit-framepointer",65.605,66.793,65.234 "noble",64.624,64.882,66.743 "Scikit-Learn 1.2.2 - Benchmark: Plot Neighbors", Lower Results Are Better "mantic",145.483,144.272,153.717,147.77,145.648,151.584,145.789 "mantic-no-omit-framepointer",142.907,141.279,143.167 "noble",139.985,143.334,143.158 "Scikit-Learn 1.2.2 - Benchmark: SGD Regression", Lower Results Are Better "mantic",104.861,109.644,103.527,107.898,103.743,108.214 "mantic-no-omit-framepointer",107.925,106.55,108.106 "noble",78.902,78.776,78.961 "Scikit-Learn 1.2.2 - Benchmark: SGDOneClassSVM", Lower Results Are Better "mantic",387.86,373.94,377.418 "mantic-no-omit-framepointer",384.248,400.64,373.195,378.829,374.757,386.142,380.465 "noble",386.589,390.846,378.713 "Scikit-Learn 1.2.2 - Benchmark: Isolation Forest", Lower Results Are Better "mantic",286.801,290.966,290.347 "mantic-no-omit-framepointer",744.546,282.282,282.636,285.589,282.527,291.067,282.379,290.996,285.328 "noble",314.836,318.493,308.774 "Scikit-Learn 1.2.2 - Benchmark: Text Vectorizers", Lower Results Are Better "mantic",60.759,60.524,61.158 "mantic-no-omit-framepointer",63.817,64.031,63.777 "noble",66.975,66.325,65.88 "Scikit-Learn 1.2.2 - Benchmark: Plot Hierarchical", Lower Results Are Better "mantic",212.415,211.57,209.872 "mantic-no-omit-framepointer",209.183,208.232,207.757 "noble",211.807,204.755,204.75 "Scikit-Learn 1.2.2 - Benchmark: Plot OMP vs. LARS", Lower Results Are Better "mantic",91.395,91.441,91.661 "mantic-no-omit-framepointer",93.361,92.545,91.841 "noble",68.15,68.133,68.232 "Scikit-Learn 1.2.2 - Benchmark: Feature Expansions", Lower Results Are Better "mantic",129.842,132.821,131.169 "mantic-no-omit-framepointer",133.711,130.74,134.824 "noble",131.661,132.224,135.547 "Scikit-Learn 1.2.2 - Benchmark: LocalOutlierFactor", Lower Results Are Better "mantic",53.149,53.763,53.481 "mantic-no-omit-framepointer",59.105,59.076,53.588,59.014,53.786,54.111,53.912,59.309,59.276,53.624,59.735,59.268,59.843,53.881,53.787 "noble",54.333,54.247,54.285 "Scikit-Learn 1.2.2 - Benchmark: TSNE MNIST Dataset", Lower Results Are Better "mantic",236.106,236.862,237.627 "mantic-no-omit-framepointer",235.699,237.346,237.314 "noble",287.628,284.766,285.075 "Scikit-Learn 1.2.2 - Benchmark: Isotonic / Logistic", Lower Results Are Better "mantic",1455.619,1495.129,1461.67 "mantic-no-omit-framepointer",1488.441,1443.03,1484.032 "noble",1665.687,1693.457,1694.495 "Scikit-Learn 1.2.2 - Benchmark: Plot Incremental PCA", Lower Results Are Better "mantic",30.983,30.978,31.056 "mantic-no-omit-framepointer",31.112,30.924,31.135 "noble",30.673,30.678,30.499 "Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting", Lower Results Are Better "mantic",109.799,109.725,110.427 "mantic-no-omit-framepointer",111.713,110.847,111.206 "noble",117.666,117.465,117.091 "Scikit-Learn 1.2.2 - Benchmark: Sample Without Replacement", Lower Results Are Better "mantic",159.245,158.375,157.167 "mantic-no-omit-framepointer",160.84,160.84,162.699 "noble",180.447,175.463,183.004 "Scikit-Learn 1.2.2 - Benchmark: Covertype Dataset Benchmark", Lower Results Are Better "mantic",383.45,366.883,378.103 "mantic-no-omit-framepointer",371.064,376.39,364.628 "noble",379.103,378.635,386.603 "Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting Adult", Lower Results Are Better "mantic",103.145,104.849,102.496 "mantic-no-omit-framepointer",106.76,105.455,104.726 "noble",112.097,113.737,112.306 "Scikit-Learn 1.2.2 - Benchmark: Isotonic / Perturbed Logarithm", Lower Results Are Better "mantic",1770.435,1757.818,1836.525 "mantic-no-omit-framepointer",1804.327,1859.819,1820.753 "noble",1961.439,1963.361,1966.515 "Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting Threading", Lower Results Are Better "mantic",110.404,109.958,110.282 "mantic-no-omit-framepointer",110.067,110.496,110.558 "noble",111.354,111.79,111.517 "Scikit-Learn 1.2.2 - Benchmark: 20 Newsgroups / Logistic Regression", Lower Results Are Better "mantic",41.822,41.155,41.579 "mantic-no-omit-framepointer",41.755,41.303,42.126 "noble",42.102,41.934,41.705 "Scikit-Learn 1.2.2 - Benchmark: Plot Polynomial Kernel Approximation", Lower Results Are Better "mantic",148.295,151.794,152.108 "mantic-no-omit-framepointer",151.415,147.986,151.728 "noble",147.585,145.895,142.609 "Scikit-Learn 1.2.2 - Benchmark: Hist Gradient Boosting Categorical Only", Lower Results Are Better "mantic",18.568,18.695,18.475 "mantic-no-omit-framepointer",18.73,18.762,19.103 "noble",20.114,19.78,19.901 "Scikit-Learn 1.2.2 - Benchmark: Kernel PCA Solvers / Time vs. N Samples", Lower Results Are Better "mantic",72.44,72.556,72.626 "mantic-no-omit-framepointer",72.617,73.155,72.954 "noble",69.152,70.382,70.531 "Scikit-Learn 1.2.2 - Benchmark: Kernel PCA Solvers / Time vs. N Components", Lower Results Are Better "mantic",37.126,36.952,37.649 "mantic-no-omit-framepointer",38.395,37.201,38.072 "noble",36.254,37.447,37.62 "Scikit-Learn 1.2.2 - Benchmark: Sparse Random Projections / 100 Iterations", Lower Results Are Better "mantic",609.922,621.153,609.565 "mantic-no-omit-framepointer",647.722,628.747,613.573,634.241 "noble",658.36,672.509,660.991 "Scikit-Learn 1.2.2 - Benchmark: Glmnet", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "Scikit-Learn 1.2.2 - Benchmark: Plot Lasso Path", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "Scikit-Learn 1.2.2 - Benchmark: Plot Fast KMeans", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "Scikit-Learn 1.2.2 - Benchmark: Plot Parallel Pairwise", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "Scikit-Learn 1.2.2 - Benchmark: Isotonic / Pathological", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "Scikit-Learn 1.2.2 - Benchmark: RCV1 Logreg Convergencet", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "Scikit-Learn 1.2.2 - Benchmark: Plot Singular Value Decomposition", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "Numpy Benchmark - ", Higher Results Are Better "mantic",426.21,428.4,424.24 "mantic-no-omit-framepointer",427.08,430.2,428.55 "noble",431.47,428.85,432.17 "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "mantic",32.389870351558,32.527209525599,32.154218979601 "mantic-no-omit-framepointer",32.790031414844,32.239806213386,32.592037018081 "noble",32.671396367661,32.093008750191,32.252672519044 "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: ResNet-152", Higher Results Are Better "mantic",12.753468037192,12.748029669087,12.671102866429 "mantic-no-omit-framepointer",12.699460604895,12.78034203823,12.850172192644 "noble",12.984867230558,12.79515702614,12.902420186127 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "mantic",24.212891191054,24.247279105756,24.382323042728 "mantic-no-omit-framepointer",24.685208148887,24.291430313271,24.166967184119 "noble",24.434558465091,24.424573150041,24.444868600558 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "mantic",24.206130227288,24.489029042681,24.162527528591 "mantic-no-omit-framepointer",24.647392392604,24.272325313858,24.121625602989 "noble",24.076677385868,24.235766291576,24.046742226529 "PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "mantic",24.175166701001,24.23209100407,24.322649579792 "mantic-no-omit-framepointer",24.126959261399,24.630929171157,24.452330650537 "noble",23.968886789725,24.335704052,24.267876782043 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: ResNet-152", Higher Results Are Better "mantic",9.8904859515294,9.9428448948896,9.8131233201967 "mantic-no-omit-framepointer",9.9498859554587,9.9362108425553,9.910240296605 "noble",9.8894856822214,9.9013293559896,9.8496395674912 "PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-50", Higher Results Are Better "mantic",24.48171065521,24.40428490292,24.382245554241 "mantic-no-omit-framepointer",24.405150536412,24.163522426807,24.553253149451 "noble",24.356520780264,24.429639216645,24.211974909176 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: ResNet-152", Higher Results Are Better "mantic",9.7529501957159,9.84171084831,9.9161011173278 "mantic-no-omit-framepointer",9.8930299347805,10.185773689173,9.9199260257079 "noble",9.7496659573175,9.8043318343613,9.8734670837323 "PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-50", Higher Results Are Better "mantic",24.157351951439,24.105064978177,24.11461826077 "mantic-no-omit-framepointer",24.376972378436,24.321409729615,24.128579767181 "noble",24.03642422407,24.516248521213,24.33511600235 "PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: ResNet-152", Higher Results Are Better "mantic",9.8112276199313,9.912225376178,9.9108958596132 "mantic-no-omit-framepointer",9.8625361319045,9.9107163167449,9.9460354740205 "noble",9.8672248803929,9.8900923759203,9.841688600667 "PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: ResNet-152", Higher Results Are Better "mantic",9.8978022330688,9.6593130858406,9.7611178002503 "mantic-no-omit-framepointer",9.8469699992695,9.9217881248956,9.9737136972587 "noble",9.9064840307765,9.8051843003508,9.8604427971398 "PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: ResNet-152", Higher Results Are Better "mantic",9.8943627360891,9.8255421757378,9.8819890592792 "mantic-no-omit-framepointer",9.864194821593,9.6608364459476,9.8843980614074 "noble",9.8106379166467,9.920836565615,9.8825242539044 "PyTorch 2.1 - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",7.3097321967331,7.3055743030213,7.3033737414384 "mantic-no-omit-framepointer",7.3545874027621,7.3129037846161,7.283203624967 "noble",7.3035605276368,7.3168015202904,7.3100271669264 "PyTorch 2.1 - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",5.5979832954881,5.6200406795962,5.6685277472507 "mantic-no-omit-framepointer",5.6473528752275,5.6231068935724,5.6395951810084 "noble",5.5638431141567,5.6191844868561,5.5807110053368 "PyTorch 2.1 - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",5.6534929294271,5.610234472842,5.629025706195 "mantic-no-omit-framepointer",5.6239963227883,5.6572079330743,5.6451198493037 "noble",5.5787783781491,5.5956739130566,5.5880849128329 "PyTorch 2.1 - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",5.6358935876638,5.6064917368309,5.6277400910703 "mantic-no-omit-framepointer",5.6424472307395,5.6721740411232,5.6436435169842 "noble",5.5958050483168,5.5895367631293,5.6099218203478 "PyTorch 2.1 - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",5.6212275659036,5.5738877946886,5.6229505919528 "mantic-no-omit-framepointer",5.6592731679967,5.6187929426971,5.6288008679296 "noble",5.6292084981704,5.5782130375628,5.6226773704038 "PyTorch 2.1 - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",5.5937471937482,5.6127021946747,5.6356709789806 "mantic-no-omit-framepointer",5.6639623986523,5.6073067097084,5.6834326569336 "noble",5.5897866161749,5.5970429937167,5.6208644968817 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50", Higher Results Are Better "mantic",208.26273568201,208.16092001358,216.22784984483 "mantic-no-omit-framepointer",207.04350048022,209.69631860392,221.24894699976,219.69967003646,207.32990288299,201.42223932047,210.54375394191,217.13196568134,215.83077587326,205.64701735258,211.53492589025,208.45002825215,211.07414605344,207.70914964794,217.50430027734 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152", Higher Results Are Better "mantic",74.104246873693,72.855455127669,74.767816125463 "mantic-no-omit-framepointer",74.142190948057,71.730130642002,70.940752265318 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "mantic",200.28653349912,200.74011036127,199.88341472284 "mantic-no-omit-framepointer",201.7879912612,200.24321018967,198.47046004177 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "mantic",198.05249000623,201.54057159962,198.78325150883 "mantic-no-omit-framepointer",199.973950866,200.97309473474,210.18905275912,199.57474482456 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "mantic",202.38947790876,201.48007369278,200.37087802933 "mantic-no-omit-framepointer",208.9002677104,202.19718878138,206.75161069585 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152", Higher Results Are Better "mantic",72.044506139787,72.052245871357,74.93976355445 "mantic-no-omit-framepointer",72.617790279222,71.967564167142,72.125245559171 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50", Higher Results Are Better "mantic",206.11910191051,201.85311388449,200.19587439476 "mantic-no-omit-framepointer",202.66029978137,201.46626847815,205.54043011317 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152", Higher Results Are Better "mantic",75.008731852324,75.210621772599,72.242863426777 "mantic-no-omit-framepointer",74.254678992682,71.879535536547,73.935297735631 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50", Higher Results Are Better "mantic",200.86937737125,202.19116863846,206.47195164333 "mantic-no-omit-framepointer",201.13624083805,201.72064976508,200.57451974637 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152", Higher Results Are Better "mantic",70.981321453667,72.489381781433,71.964200520654 "mantic-no-omit-framepointer",73.894617467486,72.402181866441,74.653582189627 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152", Higher Results Are Better "mantic",71.301959782205,72.145318066104,71.764960459163 "mantic-no-omit-framepointer",74.556431481312,72.274135689515,71.9053282005 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152", Higher Results Are Better "mantic",74.176500416083,71.37250055715,71.369157790613 "mantic-no-omit-framepointer",74.229429233089,74.267700105252,72.738593866081 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",39.209154397922,40.235156364979,38.615419900175 "mantic-no-omit-framepointer",37.7544717666,36.866730109995,37.251451756596 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",38.802148892971,39.060295702463,38.979102333057 "mantic-no-omit-framepointer",36.070946129856,36.093214490619,36.131097460029 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",37.268221940641,37.798836939071,38.071658025045 "mantic-no-omit-framepointer",39.214566111413,36.250996710058,38.729250136973,37.132788161216,37.114954866425,36.126828580337,35.642872950846,36.440827415745,38.057903833,36.966818853231,37.675903722482,38.592727614256,37.86200172029,35.417015518512,36.179770376288 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",39.188923393128,37.741263038979,36.423494652639,37.46656533349,37.192734732362,38.667630790414,39.038934904472,37.652696970775,37.56074548686 "mantic-no-omit-framepointer",35.548829844736,37.556589120063,36.420336028641,35.392690133655,37.547881911136,38.766786941784,37.438712749386,35.713128698975,37.950810086394,36.377302731187,36.987285255321,39.02223134024,38.978083470647,37.786582987327,37.129336500725 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",37.484874519756,37.533983483161,37.073864009659 "mantic-no-omit-framepointer",35.544926829734,38.832109921291,37.184702007559,37.539881165355,35.121340810998,37.887662465358,35.888357127186,38.473706896569,35.786189833553,36.061018888086,35.730413529139,36.766512381623,36.722991192311,35.467864593575,36.027083126302 "PyTorch 2.1 - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l", Higher Results Are Better "mantic",37.3909400527,37.477174783993,37.414845087819 "mantic-no-omit-framepointer",35.84294738934,38.806456719804,36.829738445339,37.091238111664,37.064036094976,37.743363814846,36.453134512232,37.967494124854 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.003,0.003,0.003 "mantic-no-omit-framepointer",0.003,0.003,0.003 "noble",0.003,0.003,0.003 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.009,0.009,0.009 "mantic-no-omit-framepointer",0.008,0.008,0.008 "noble",0.009,0.009,0.009 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.015,0.015,0.015 "mantic-no-omit-framepointer",0.015,0.015,0.015 "noble",0.015,0.016,0.016,0.016,0.015,0.016,0.015,0.015,0.016,0.016,0.015,0.015,0.016,0.016,0.016 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.032,0.032,0.033 "mantic-no-omit-framepointer",0.032,0.032,0.032 "noble",0.034,0.033,0.033 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.003,0.003,0.003 "mantic-no-omit-framepointer",0.003,0.003,0.002,0.002,0.002,0.002,0.002,0.002,0.002,0.003,0.002,0.002,0.003,0.002,0.002 "noble",0.003,0.003,0.002,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003,0.003 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.009,0.009,0.009 "mantic-no-omit-framepointer",0.008,0.008,0.008 "noble",0.008,0.008,0.008 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.015,0.015,0.015 "mantic-no-omit-framepointer",0.015,0.015,0.015 "noble",0.015,0.016,0.015,0.015,0.015,0.015,0.015 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.033,0.033,0.033 "mantic-no-omit-framepointer",0.033,0.033,0.033 "noble",0.034,0.034,0.034 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.062,0.061,0.06 "mantic-no-omit-framepointer",0.058,0.058,0.058 "noble",0.06,0.059,0.06 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.132,0.132,0.13 "mantic-no-omit-framepointer",0.132,0.132,0.132 "noble",0.13,0.135,0.134 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.061,0.063,0.062 "mantic-no-omit-framepointer",0.058,0.058,0.058 "noble",0.062,0.061,0.061 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.131,0.131,0.132 "mantic-no-omit-framepointer",0.129,0.129,0.125 "noble",0.137,0.135,0.135 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.268,0.261,0.261 "mantic-no-omit-framepointer",0.262,0.262,0.261 "noble",0.263,0.256,0.263 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.62,0.619,0.617 "mantic-no-omit-framepointer",0.618,0.618,0.617 "noble",0.636,0.637,0.619 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic",1.408,1.401,1.398 "mantic-no-omit-framepointer",1.402,1.413,1.401 "noble",1.441,1.435,1.432 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",2.651,2.684,2.675 "mantic-no-omit-framepointer",2.624,2.629,2.625 "noble",2.72,2.737,2.702 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic",0.264,0.266,0.26 "mantic-no-omit-framepointer",0.259,0.261,0.259 "noble",0.258,0.264,0.265 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",0.63,0.628,0.636 "mantic-no-omit-framepointer",0.613,0.618,0.635 "noble",0.637,0.629,0.625 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic",1.422,1.429,1.414 "mantic-no-omit-framepointer",1.413,1.409,1.411 "noble",1.45,1.434,1.454 "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic",2.654,2.659,2.673 "mantic-no-omit-framepointer",2.622,2.629,2.608 "noble",2.657,2.675,2.673 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyHPC Benchmarks 3.0 - Device: GPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "mantic-no-omit-framepointer", "noble", "PyPerformance 1.0.0 - Benchmark: go", Lower Results Are Better "mantic",129,129,129 "mantic-no-omit-framepointer",132,131,131 "noble",121,121,121 "PyPerformance 1.0.0 - Benchmark: 2to3", Lower Results Are Better "mantic",221,221,221 "mantic-no-omit-framepointer",223,224,224 "noble", "PyPerformance 1.0.0 - Benchmark: chaos", Lower Results Are Better "mantic",62.9,62.8,62.8 "mantic-no-omit-framepointer",63.2,63.6,63.9 "noble", "PyPerformance 1.0.0 - Benchmark: float", Lower Results Are Better "mantic",67.5,67.4,67.4 "mantic-no-omit-framepointer",67.1,66.8,66.8 "noble", "PyPerformance 1.0.0 - Benchmark: nbody", Lower Results Are Better "mantic",76.3,76.2,76.1 "mantic-no-omit-framepointer",77,77.2,77 "noble", "PyPerformance 1.0.0 - Benchmark: pathlib", Lower Results Are Better "mantic",19.7,19.7,19.7 "mantic-no-omit-framepointer",20.2,20.2,20.2 "noble", "PyPerformance 1.0.0 - Benchmark: raytrace", Lower Results Are Better "mantic",261,262,262 "mantic-no-omit-framepointer",274,274,273 "noble", "PyPerformance 1.0.0 - Benchmark: json_loads", Lower Results Are Better "mantic",19.4,19.6,19.5 "mantic-no-omit-framepointer",20.8,20.8,20.7 "noble",22.7,22.8,22.8 "PyPerformance 1.0.0 - Benchmark: crypto_pyaes", Lower Results Are Better "mantic",65.1,65,65.2 "mantic-no-omit-framepointer",66.6,66.6,66.6 "noble", "PyPerformance 1.0.0 - Benchmark: regex_compile", Lower Results Are Better "mantic",116,116,116 "mantic-no-omit-framepointer",120,119,120 "noble", "PyPerformance 1.0.0 - Benchmark: python_startup", Lower Results Are Better "mantic",7.6,7.61,7.62 "mantic-no-omit-framepointer",7.63,7.63,7.65 "noble",8.74,8.77,8.77 "PyPerformance 1.0.0 - Benchmark: django_template", Lower Results Are Better "mantic",28.5,28.5,28.4 "mantic-no-omit-framepointer",29.6,29.5,29.4 "noble", "PyPerformance 1.0.0 - Benchmark: pickle_pure_python", Lower Results Are Better "mantic",259,259,258 "mantic-no-omit-framepointer",264,262,263 "noble", "PyBench 2018-02-16 - Total For Average Test Times", Lower Results Are Better "mantic",775,772,775 "mantic-no-omit-framepointer",792,791,788 "noble",846,813,852,843