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.

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  Test
  Duration
mantic
February 23
  15 Hours, 54 Minutes
mantic-no-omit-framepointer
February 24
  19 Hours, 11 Minutes
Invert Hiding All Results Option
  17 Hours, 32 Minutes
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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. ,,"mantic","mantic-no-omit-framepointer" Processor,,AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads),AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads) Motherboard,,MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS),MSI X570-A PRO (MS-7C37) v3.0 (H.70 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,2 x 16GB DDR4-3200MT/s F4-3200C16-16GVK,2 x 16GB DDR4-3200MT/s F4-3200C16-16GVK Disk,,2000GB Seagate ST2000DM006-2DM1 + 2000GB Western Digital WD20EZAZ-00G + 500GB Samsung SSD 860 + 8002GB Seagate ST8000DM004-2CX1 + 1000GB CT1000BX500SSD1 + 512GB TS512GESD310C,2000GB Seagate ST2000DM006-2DM1 + 2000GB Western Digital WD20EZAZ-00G + 500GB Samsung SSD 860 + 8002GB Seagate ST8000DM004-2CX1 + 1000GB CT1000BX500SSD1 + 512GB TS512GESD310C Graphics,,NVIDIA GeForce RTX 3060 12GB,NVIDIA GeForce RTX 3060 Audio,,NVIDIA GA104 HD Audio,NVIDIA GA104 HD Audio Monitor,,DELL P2314H,DELL P2314H Network,,Realtek RTL8111/8168/8411,Realtek RTL8111/8168/8411 OS,,Ubuntu 23.10,Ubuntu 23.10 Kernel,,6.5.0-9-generic (x86_64),6.5.0-9-generic (x86_64) Display Server,,X Server 1.21.1.7,X Server 1.21.1.7 Display Driver,,NVIDIA, OpenCL,,OpenCL 3.0 CUDA 12.2.146, Compiler,,GCC 13.2.0 + CUDA 12.2,GCC 13.2.0 + CUDA 12.2 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"mantic","mantic-no-omit-framepointer" "Scikit-Learn - Benchmark: SAGA (sec)",LIB,868.018,873.822 "Scikit-Learn - Benchmark: Isotonic / Perturbed Logarithm (sec)",LIB,1788.259,1828.300 "Scikit-Learn - Benchmark: Isotonic / Logistic (sec)",LIB,1470.806,1471.834 "Scikit-Learn - Benchmark: Isolation Forest (sec)",LIB,289.371,336.372 "Scikit-Learn - Benchmark: Sparse Random Projections / 100 Iterations (sec)",LIB,613.547,631.071 "Scikit-Learn - Benchmark: SGDOneClassSVM (sec)",LIB,379.739,382.611 "Scikit-Learn - Benchmark: Lasso (sec)",LIB,511.848,509.537 "Scikit-Learn - Benchmark: Isotonic / Pathological (sec)",LIB,, "Scikit-Learn - Benchmark: Covertype Dataset Benchmark (sec)",LIB,376.145,370.694 "Scikit-Learn - Benchmark: GLM (sec)",LIB,293.598,295.096 "PyTorch - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.61,5.64 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.63,5.64 "PyTorch - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.61,5.65 "PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.63,5.64 "PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.62,5.65 "Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,236.865,236.786 "Scikit-Learn - Benchmark: Plot Neighbors (sec)",LIB,147.752,142.451 "Scikit-Learn - Benchmark: Plot Hierarchical (sec)",LIB,211.286,208.391 "Scikit-Learn - Benchmark: Sparsify (sec)",LIB,127.282,125.442 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,37.88,37.24 "Scikit-Learn - Benchmark: Plot Incremental PCA (sec)",LIB,31.006,31.057 "Scikit-Learn - Benchmark: Sample Without Replacement (sec)",LIB,158.262,161.460 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,9.87,9.80 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,9.77,9.91 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,9.88,9.93 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,9.84,10.00 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,9.88,9.91 "Scikit-Learn - Benchmark: Plot Polynomial Kernel Approximation (sec)",LIB,150.732,150.376 "Scikit-Learn - Benchmark: SGD Regression (sec)",LIB,106.315,107.527 "Scikit-Learn - Benchmark: LocalOutlierFactor (sec)",LIB,53.464,56.754 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: Efficientnet_v2_l (batches/sec)",HIB,37.36,36.60 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,37.71,37.16 "Scikit-Learn - Benchmark: Tree (sec)",LIB,48.338,52.969 "Numpy Benchmark - (Score)",HIB,426.28,428.61 "Scikit-Learn - Benchmark: Feature Expansions (sec)",LIB,131.277,133.092 "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,7.31,7.32 "Scikit-Learn - Benchmark: Hist Gradient Boosting (sec)",LIB,109.984,111.255 "Scikit-Learn - Benchmark: Hist Gradient Boosting Threading (sec)",LIB,110.215,110.374 "Scikit-Learn - Benchmark: Hist Gradient Boosting Adult (sec)",LIB,103.497,105.647 "Scikit-Learn - Benchmark: Plot OMP vs. LARS (sec)",LIB,91.499,92.582 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,2.670,2.626 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,2.662,2.620 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: Efficientnet_v2_l (batches/sec)",HIB,37.43,37.22 "Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,65.763,65.877 "Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Samples (sec)",LIB,72.541,72.909 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,12.72,12.78 "Scikit-Learn - Benchmark: Text Vectorizers (sec)",LIB,60.814,63.875 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,24.13,24.28 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,24.24,24.40 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,24.28,24.38 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,24.29,24.35 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,24.42,24.37 "Scikit-Learn - Benchmark: Plot Ward (sec)",LIB,57.824,57.545 "PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,7.61,7.64 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,38.95,36.10 "Scikit-Learn - Benchmark: 20 Newsgroups / Logistic Regression (sec)",LIB,41.519,41.728 "Scikit-Learn - Benchmark: Kernel PCA Solvers / Time vs. N Components (sec)",LIB,37.242,37.889 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,1.422,1.411 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,1.402,1.405 "PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,262,274 "PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,221,224 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,32.36,32.54 "PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,19.7,20.2 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,71.74,72.91 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,73.01,72.24 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,71.81,73.65 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,72.31,73.75 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,74.15,73.36 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,39.35,37.29 "PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,259,263 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.631,0.622 "PyPerformance - Benchmark: go (Milliseconds)",LIB,129,131 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.619,0.618 "PyPerformance - Benchmark: nbody (Milliseconds)",LIB,76.2,77.1 "PyPerformance - Benchmark: django_template (Milliseconds)",LIB,28.5,29.5 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,210.88,211.46 "PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,19.5,20.8 "Scikit-Learn - Benchmark: Hist Gradient Boosting Categorical Only (sec)",LIB,18.579,18.865 "PyPerformance - Benchmark: float (Milliseconds)",LIB,67.4,66.9 "PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,116,120 "PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,65.1,66.6 "PyPerformance - Benchmark: chaos (Milliseconds)",LIB,62.8,63.6 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.131,0.132 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.131,0.128 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,73.91,72.27 "PyBench - Total For Average Test Times (Milliseconds)",LIB,774,790 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,199.46,202.68 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,200.30,200.17 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,203.18,201.14 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,202.72,203.22 "PyTorch - Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,201.41,205.95 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.009,0.008 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.009,0.008 "Scikit-Learn - Benchmark: RCV1 Logreg Convergencet (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.263,0.262 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.263,0.260 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.003,0.002 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.062,0.058 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.061,0.058 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.033,0.033 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.032,0.032 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.003,0.003 "PyHPC Benchmarks - Device: GPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.015,0.015 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.015,0.015 "Scikit-Learn - Benchmark: Plot Parallel Pairwise (sec)",LIB,, "Scikit-Learn - Benchmark: Plot Fast KMeans (sec)",LIB,, "Scikit-Learn - Benchmark: Plot Lasso Path (sec)",LIB,, "Scikit-Learn - Benchmark: Plot Singular Value Decomposition (sec)",LIB,, "Scikit-Learn - Benchmark: Glmnet (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - 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: GPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State (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: GPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 262144 - 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: GPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: TensorFlow - Project Size: 16384 - 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: GPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 1048576 - 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: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing (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: 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: GPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 262144 - 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: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State (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: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing (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: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: GPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,, "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,,