apple-macmini-2020-hpc

Apple M1 testing with a Apple Mac mini and Apple M1 on macOS 12.0.1 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 2210193-NE-APPLEMACM88
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Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Apple M1
October 17 2022
  16 Hours, 43 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
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apple-macmini-2020-hpc, "NCNN 20220729 - Target: Vulkan GPU - Model: FastestDet", Lower Results Are Better "Apple M1",2.52,2.53,2.52 "NCNN 20220729 - Target: Vulkan GPU - Model: vision_transformer", Lower Results Are Better "Apple M1",1626.11,1625.57,1625.82 "NCNN 20220729 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "Apple M1",7,7.01,7.01 "NCNN 20220729 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "Apple M1",16.71,16.7,16.69 "NCNN 20220729 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "Apple M1",29.27,29.36,29.53 "NCNN 20220729 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "Apple M1",43.06,43.06,43.05 "NCNN 20220729 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "Apple M1",29.11,29.17,29.11 "NCNN 20220729 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "Apple M1",15.76,15.71,15.73 "NCNN 20220729 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "Apple M1",71.33,71.42,71.39 "NCNN 20220729 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "Apple M1",23.5,23.53,23.49 "NCNN 20220729 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "Apple M1",1.59,1.57,1.57 "NCNN 20220729 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "Apple M1",8.36,8.38,8.38 "NCNN 20220729 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "Apple M1",5.19,5.16,5.16 "NCNN 20220729 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "Apple M1",3.22,3.22,3.22 "NCNN 20220729 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "Apple M1",4.14,4.15,4.15 "NCNN 20220729 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "Apple M1",5.11,5.13,5.1 "NCNN 20220729 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "Apple M1",20.01,20.04,20.02 "NCNN 20220729 - Target: CPU - Model: FastestDet", Lower Results Are Better "Apple M1",2.52,2.52,2.52 "NCNN 20220729 - Target: CPU - Model: vision_transformer", Lower Results Are Better "Apple M1",1626.14,1626.1,1625.9 "NCNN 20220729 - Target: CPU - Model: regnety_400m", Lower Results Are Better "Apple M1",7.02,7.03,7.01 "NCNN 20220729 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "Apple M1",16.71,16.7,16.69 "NCNN 20220729 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "Apple M1",29.31,29.36,29.37 "NCNN 20220729 - Target: CPU - Model: resnet50", Lower Results Are Better "Apple M1",43.07,42.99,43.07 "NCNN 20220729 - Target: CPU - Model: alexnet", Lower Results Are Better "Apple M1",29.16,29.15,29.14 "NCNN 20220729 - Target: CPU - Model: resnet18", Lower Results Are Better "Apple M1",15.76,15.76,15.74 "NCNN 20220729 - Target: CPU - Model: vgg16", Lower Results Are Better "Apple M1",71.5,71.49,71.41 "NCNN 20220729 - Target: CPU - Model: googlenet", Lower Results Are Better "Apple M1",23.51,23.5,23.51 "NCNN 20220729 - Target: CPU - Model: blazeface", Lower Results Are Better "Apple M1",1.57,1.58,1.6 "NCNN 20220729 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "Apple M1",8.37,8.37,8.41 "NCNN 20220729 - Target: CPU - Model: mnasnet", Lower Results Are Better "Apple M1",5.16,5.21,5.17 "NCNN 20220729 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "Apple M1",3.22,3.22,3.23 "NCNN 20220729 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "Apple M1",4.15,4.14,4.16 "NCNN 20220729 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "Apple M1",5.14,5.11,5.1 "NCNN 20220729 - Target: CPU - Model: mobilenet", Lower Results Are Better "Apple M1",20.07,20.03,20.03 "Mobile Neural Network 2.1 - Model: inception-v3", Lower Results Are Better "Apple M1",46.667,46.714,46.865 "Mobile Neural Network 2.1 - Model: mobilenet-v1-1.0", Lower Results Are Better "Apple M1",6.161,6.154,6.148 "Mobile Neural Network 2.1 - Model: MobileNetV2_224", Lower Results Are Better "Apple M1",4.948,4.913,4.929 "Mobile Neural Network 2.1 - Model: SqueezeNetV1.0", Lower Results Are Better "Apple M1",7.369,7.551,7.415 "Mobile Neural Network 2.1 - Model: resnet-v2-50", Lower Results Are Better "Apple M1",33.518,33.218,33.262 "Mobile Neural Network 2.1 - Model: squeezenetv1.1", Lower Results Are Better "Apple M1",4.281,4.325,4.306 "Mobile Neural Network 2.1 - Model: mobilenetV3", Lower Results Are Better "Apple M1",2.522,2.499,2.48 "Mobile Neural Network 2.1 - Model: nasnet", Lower Results Are Better "Apple M1",15.564,15.791,15.61 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "Apple M1",12.678,11.47,11.439,11.359,11.293,11.523,11.466,11.617,11.378,11.587,11.37,11.548,11.469,11.419 "NAMD 2.14 - ATPase Simulation - 327,506 Atoms", Lower Results Are Better "Apple M1",3.73217,3.66124,3.66043 "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing", Lower Results Are Better "Apple M1", "PyHPC Benchmarks 3.0 - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State", Lower Results Are Better "Apple M1", "AI Benchmark Alpha 0.1.2 - ", Higher Results Are Better "Apple M1", "Numenta Anomaly Benchmark 1.1 - Detector: Bayesian Changepoint", Lower Results Are Better "Apple M1", "Numenta Anomaly Benchmark 1.1 - Detector: Earthgecko Skyline", Lower Results Are Better "Apple M1", "Numenta Anomaly Benchmark 1.1 - Detector: Windowed Gaussian", Lower Results Are Better "Apple M1", "Numenta Anomaly Benchmark 1.1 - Detector: Relative Entropy", Lower Results Are Better "Apple M1", "Numenta Anomaly Benchmark 1.1 - Detector: EXPoSE", Lower Results Are Better "Apple M1", "PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU", Higher Results Are Better "Apple M1", "PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU", Higher Results Are Better "Apple M1", "GNU Octave Benchmark - ", Lower Results Are Better "Apple M1", "GROMACS 2022.1 - Implementation: MPI CPU - Input: water_GMX50_bare", Higher Results Are Better "Apple M1", "DeepSpeech 0.6 - Acceleration: CPU", Lower Results Are Better "Apple M1", "Numpy Benchmark - ", Higher Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "oneDNN 2.7 - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", Lower Results Are Better "Apple M1", "Himeno Benchmark 3.0 - ", Higher Results Are Better "Apple M1", "ACES DGEMM 1.0 - ", Higher Results Are Better "Apple M1", "LAMMPS Molecular Dynamics Simulator 23Jun2022 - Model: Rhodopsin Protein", Higher Results Are Better "Apple M1", "LAMMPS Molecular Dynamics Simulator 23Jun2022 - Model: 20k Atoms", Higher Results Are Better "Apple M1", "Timed HMMer Search 3.3.2 - ", Lower Results Are Better "Apple M1", "Timed MrBayes Analysis 3.2.7 - ", Lower Results Are Better "Apple M1", "Nebular Empirical Analysis Tool 2.3 - ", Lower Results Are Better "Apple M1",