HPC benchmark- POSSIBLE BAD DATA

Intel Core i7-12700K testing with a MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS) and Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB on Pop 21.04 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 2112081-TJ-2112076TJ12
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Bioinformatics 2 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 11 Tests
Creator Workloads 2 Tests
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HPC - High Performance Computing 30 Tests
Machine Learning 15 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 2 Tests
Multi-Core 3 Tests
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OpenMPI Tests 4 Tests
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Scientific Computing 12 Tests
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Single-Threaded 3 Tests
Speech 2 Tests
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  Test
  Duration
Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt
December 05 2021
  12 Hours, 53 Minutes
Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt
December 06 2021
  12 Hours, 28 Minutes
Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt
December 06 2021
  14 Hours, 10 Minutes
Intel Core i7-12700k Pcore AVX512-SAPPHIRE RAPIDS COMPILER SHENANIGANS- DDR4 3200 CL 15 16 16 36 RX 5600xt
December 08 2021
  6 Hours, 54 Minutes
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  11 Hours, 36 Minutes

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HPC benchmark- POSSIBLE BAD DATA Intel Core i7-12700K testing with a MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS) and Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB on Pop 21.04 via the Phoronix Test Suite. ,,"Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt ","Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt","Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt","Intel Core i7-12700k Pcore AVX512-SAPPHIRE RAPIDS COMPILER SHENANIGANS- DDR4 3200 CL 15 16 16 36 RX 5600xt" Processor,,Intel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads),Intel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads),Intel Core i7-12700K @ 6.30GHz (12 Cores / 20 Threads),Intel Core i7-12700K @ 6.50GHz (8 Cores / 16 Threads) Motherboard,,MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS),MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS),MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS),MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS) Chipset,,Intel Device 7aa7,Intel Device 7aa7,Intel Device 7aa7,Intel Device 7aa7 Memory,,32GB,32GB,32GB,32GB Disk,,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro Graphics,,Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 (1650/750MHz),Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 (1650/750MHz),Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 (1650/750MHz),Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 6GB (1650/750MHz) Audio,,Realtek ALC897,Realtek ALC897,Realtek ALC897,Realtek ALC897 Monitor,,LG HDR WQHD,LG HDR WQHD,LG HDR WQHD,LG HDR WQHD Network,,Intel I225-V,Intel I225-V,Intel I225-V,Intel I225-V OS,,Pop 21.04,Pop 21.04,Pop 21.04,Pop 21.04 Kernel,,5.15.5-76051505-generic (x86_64),5.15.5-76051505-generic (x86_64),5.15.5-76051505-generic (x86_64),5.15.5-76051505-generic (x86_64) Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4,GNOME Shell 3.38.4,GNOME Shell 3.38.4 Display Server,,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11 OpenGL,,4.6 Mesa 21.3.0-devel (LLVM 12.0.1),4.6 Mesa 21.3.0-devel (LLVM 12.0.1),4.6 Mesa 21.3.0-devel (LLVM 12.0.1),4.6 Mesa 21.2.2 (LLVM 12.0.0) OpenCL,,OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX + OpenCL 2.2 AMD-APP (3361.0),OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX + OpenCL 2.2 AMD-APP (3361.0),OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX + OpenCL 2.2 AMD-APP (3361.0),OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX Vulkan,,1.2.182,1.2.182,1.2.182,1.2.182 Compiler,,GCC 10.3.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 + CUDA 10.2,GCC 10.3.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 + CUDA 10.2,GCC 10.3.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 + CUDA 10.2,GCC 11.1.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 File-System,,ext4,ext4,ext4,ext4 Screen Resolution,,3440x1440,3440x1440,3440x1440,3440x1440 ,,"Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt ","Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt","Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt","Intel Core i7-12700k Pcore AVX512-SAPPHIRE RAPIDS COMPILER SHENANIGANS- DDR4 3200 CL 15 16 16 36 RX 5600xt" "FFTW - Build: Float + SSE - Size: 2D FFT Size 4096 (Mflops)",HIB,40789,42516,43336,43777 "CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,186.74,191.33,138.33,141.53 "PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU (FPS)",HIB,8.52,8.32,8.41,9.39 "TNN - Target: CPU - Model: DenseNet (ms)",LIB,2719.820,2854.854,3987.715,2623.161 "ONNX Runtime - Model: yolov4 - Device: CPU (Inferences/min)",HIB,469,460,520,468 "ECP-CANDLE - Benchmark: P3B1 (sec)",LIB,794.258,918.197,887.14,790.264 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,23.277,25.231,26.687,21.017 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,1.749,2.054,2.613,1.532 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,1.892,2.217,2.565,1.616 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,3.590,4.060,4.640,3.165 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,16.694,18.461,22.622,14.786 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.264,2.559,2.865,2.045 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.113,1.237,1.261,0.963 "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,66637,91035,52247,7537 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,5.55,7.44,6.80,4.71 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,13.41,15.89,14.85,12.06 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,15.34,17.33,17.62,14.05 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,16.38,19.41,20.01,15.22 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,9.29,10.64,11.23,8.38 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,10.37,13.24,11.74,9.23 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,37.73,43.97,40.61,37.91 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,9.00,10.43,10.34,7.63 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.02,1.21,1.21,0.91 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,3.37,4.35,4.47,2.90 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,2.12,2.72,2.88,1.85 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.39,3.16,2.67,2.18 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.17,2.74,2.75,1.89 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,2.38,2.98,3.10,2.15 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,9.07,10.74,11.06,8.63 "ONNX Runtime - Model: shufflenet-v2-10 - Device: CPU (Inferences/min)",HIB,40688,42897,45034,39909 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.861,2.021,2.131,1.847 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,126721,154285,89096.6,130527 "FFTW - Build: Stock - Size: 2D FFT Size 4096 (Mflops)",HIB,12945,13568,13494,14069 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Max SP Flops (GFLOPS)",HIB,1667232,1542874,1581543,1723333 "ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU (Inferences/min)",HIB,74,68,80,74 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,32570.157710805,25089.993604089,26580.090189963,33183.121427314 "Numpy Benchmark - (Score)",HIB,565.28,558.72,422.78,615.24 "ECP-CANDLE - Benchmark: P3B2 (sec)",LIB,403.484,401.56,409.434,353.81 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.332,1.336,2.212,1.325 "CP2K Molecular Dynamics - Input: Fayalite-FIST (sec)",LIB,382.83,403.729,398.301,368.132 "PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU (FPS)",HIB,22.29,19.23,19.57,23.08 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.011,0.010,0.013,0.011 "Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,95.97,96.46,109.65,46.60 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,141138,159253,109893,143667 "ONNX Runtime - Model: super-resolution-10 - Device: CPU (Inferences/min)",HIB,4662,4417,4579,4593 "Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,1.53,1.64,2.29,3.11 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.021,0.015,0.055,0.021 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenCL - Kernel: Points2Image (Test Cases/min)",HIB,15525.664613677,15404.277700861,15539.073739801,16397.283085518 "TensorFlow Lite - Model: Inception V4 (us)",LIB,2024680,2213513,1564193,2022477 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.26329,1.14364,0.94957,1.18910 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,4.28,5.83,3.71,3.46 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,4.63,4.73,4.30,3.74 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,8.16,10.03,8.14,7.63 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,6.64,7.46,6.11,5.63 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,6.69,6.84,6.41,5.75 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,3.04,3.96,2.34,1.96 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,17.58,19.80,16.96,16.43 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,5.41,7.09,5.10,4.69 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,1.69,2.71,1.43,1.03 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,7.72,9.34,7.65,7.20 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,3.40,4.27,2.72,2.48 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,2.68,3.65,2.07,1.80 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.02,4.76,3.64,3.33 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,3.19,4.05,2.61,2.41 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,6.86,7.40,6.72,6.17 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,1837950,1801520,1413363,1783857 "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.020,0.020,0.02,0.021 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: S3D (GFLOPS)",HIB,12.2422,13.6588,13.9616,13.7011 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,2004.44,1966.15,1970.57,2023.16 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,1255.80,1231.73,1171.04,1256.30 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,95569.3,93959.4,74706.9,93377.4 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.299,1.301,1.299,1.256 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,99378.6,97487.4,78810.5,98208.8 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,0.637,0.644,0.779,0.635 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.028,0.027,0.034,0.028 "Himeno Benchmark - Poisson Pressure Solver (MFLOPS)",HIB,10224.564685,9116.455509,9209.748838,9558.655773 "Nebular Empirical Analysis Tool - (sec)",LIB,26.980,26.677,25.676,26.165 "Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,12.39,12.02,14.58,36.43 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.090,0.069,0.223,0.088 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,0.847,0.845,0.837,0.815 "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.002,0.001,0.001,0.002 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,4.723792,4.909597,5.205018,4.965331 "miniFE - Problem Size: Small (CG Mflops)",HIB,5458.44,6321.61,5932.11,6218.41 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,1615.65,1355.37,1439.63,1649.84 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.017,0.016,0.016,0.016 "Kripke - (Throughput FoM)",HIB,76868693,72234187,76195000,77469363 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,1.327,1.325,1.343,1.313 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,1008.65,993.75,821.38,1099.43 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.013,0.013,0.031,0.013 "DeepSpeech - Acceleration: CPU (sec)",LIB,49.07625,54.54775,65.95657,48.78499 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: GEMM SGEMM_N (GFLOPS)",HIB,284.989,254.597,228.412,263.157 "ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,253.548,243.796,255.322,264.784 "TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,224.710,262.514,486.558,216.871 "Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,6.95,7.19,13.06,10.83 "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.005,0.004,0.004,0.005 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.002,0.002,0.002,0.002 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.175,0.178,0.179,0.168 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.222,0.222,0.227,0.219 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.134,0.134,0.170,0.133 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.013,0.013,0.014,0.012 "R Benchmark - (sec)",LIB,0.1070,0.1096,0.1097,0.1038 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.009,0.009,0.009,0.008 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.143,0.144,0.144,0.137 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.002,0.001,0.004,0.002 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.004,0.005,0.005,0.005 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.012,0.011,0.011,0.011 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.008,0.007,0.009,0.008 "PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.095,0.094,0.093,0.093 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.416,0.454,0.459,0.409 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.285,0.280,0.499,0.281 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.293,0.290,0.290,0.285 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.004,0.003,0.004,0.004 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.003,0.002,0.002,0.002 "RNNoise - (sec)",LIB,17.513,16.792,16.524,16.103 "TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,235.526,237.601,230.459,225.758 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.090,0.097,0.101,0.089 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.061,0.060,0.061,0.060 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.011,0.011,0.011,0.01 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.052,0.054,0.111,0.052 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.005,0.004,0.013,0.005 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.030,0.028,0.037,0.029 "FFTW - Build: Float + SSE - Size: 1D FFT Size 4096 (Mflops)",HIB,100155,80667,78573,102333 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.202,0.201,0.201,0.194 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.001,0.001,0.001,0.001 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.001,0.001,0.001,0.001 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,11.158,11.042,11.057,10.693 "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,2812.63,3423.09,2873.34,3550.08 "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,1484.83,1826.95,1584.97,1853.31 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.043,0.043,0.043,0.042 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Reduction (GB/s)",HIB,21.2083,17.9097,16.8136,21.8802 "ECP-CANDLE - Benchmark: P1B2 (sec)",LIB,31.787,28.405,28.693,26.149 "PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.003,0.003,0.009,0.003 "FFTW - Build: Stock - Size: 1D FFT Size 4096 (Mflops)",HIB,18379,18279,17876,18303 "GNU Octave Benchmark - (sec)",LIB,5.166,5.108,5.069,4.950 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.044,0.044,0.044,0.042 "PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.002,0.002,0.002,0.002 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.001,0.001,0.001,0.001 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,7.915,8.013,8.183,7.667 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Triad (GB/s)",HIB,15.6282,18.3795,18.4348,17.5019 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.021,0.024,0.024,0.021 "FFTW - Build: Float + SSE - Size: 2D FFT Size 32 (Mflops)",HIB,79668,75886,75032,83426 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.053,0.052,0.053,0.051 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Readback (GB/s)",HIB,31.3126,38.4318,36.0449,37.1909 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Download (GB/s)",HIB,30.5438,38.5258,35.1906,38.2339 "PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.035,0.036,0.036,0.034 "Scikit-Learn - (sec)",LIB,4.883,5.069,8.193,6.167 "PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.003,0.003,0.003,0.003 "FFTW - Build: Stock - Size: 1D FFT Size 32 (Mflops)",HIB,22739,23117,23240,22747 "FFTW - Build: Stock - Size: 2D FFT Size 32 (Mflops)",HIB,22796,23477,23622,22861 "TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,45.898,46.588,45.500,44.744 "FFTW - Build: Float + SSE - Size: 1D FFT Size 32 (Mflops)",HIB,30059,30047,29780,32202 "PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.002,0.002,0.002,0.002 "SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: FFT SP (GFLOPS)",HIB,87.6173,98.1365,101.122,99.8771