pts-hpc

Apple M2 Pro testing with a Apple Mac mini and Apple M2 Pro on macOS 13.5 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 2312093-REIN-PTSHPC077
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pts-hpc
December 09 2023
  18 Hours, 30 Minutes
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pts-hpc Suite 1.0.0 System Test suite extracted from pts-hpc. pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/ncnn-1.5.0 -1 Target: CPU - Model: FastestDet pts/ncnn-1.5.0 -1 Target: CPU - Model: vision_transformer pts/ncnn-1.5.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.5.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.5.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.5.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.5.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.5.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.5.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.5.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.5.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.5.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.5.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: FastestDet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vision_transformer pts/ncnn-1.5.0 Target: Vulkan GPU - Model: regnety_400m pts/ncnn-1.5.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.5.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.5.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mobilenet pts/mnn-2.1.0 Model: inception-v3 pts/mnn-2.1.0 Model: mobilenet-v1-1.0 pts/mnn-2.1.0 Model: MobileNetV2_224 pts/mnn-2.1.0 Model: SqueezeNetV1.0 pts/mnn-2.1.0 Model: resnet-v2-50 pts/mnn-2.1.0 Model: squeezenetv1.1 pts/mnn-2.1.0 Model: mobilenetV3 pts/mnn-2.1.0 Model: nasnet pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/mafft-1.6.2 Multiple Sequence Alignment - LSU RNA pts/onednn-3.3.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/numpy-1.2.1 pts/deepspeech-1.0.0 CPU Acceleration: CPU pts/numenta-nab-1.1.1 -d knncad Detector: KNN CAD pts/pyhpc-3.0.0 --device cpu -b jax -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State pts/gromacs-1.8.0 mpi-build water-cut1.0_GMX50_bare/1536 Implementation: MPI CPU - Input: water_GMX50_bare pts/ai-benchmark-1.0.2 system/octave-benchmark-1.0.1 pts/plaidml-1.0.4 --no-fp16 --no-train vgg16 CPU FP16: No - Mode: Inference - Network: VGG16 - Device: CPU pts/neat-1.1.0 pts/numenta-nab-1.1.1 -d windowedGaussian Detector: Windowed Gaussian pts/mt-dgemm-1.2.0 pts/hmmer-1.3.0 pts/numenta-nab-1.1.1 -d contextOSE Detector: Contextual Anomaly Detector OSE pts/numenta-nab-1.1.1 -d earthgeckoSkyline Detector: Earthgecko Skyline pts/numenta-nab-1.1.1 -d relativeEntropy Detector: Relative Entropy pts/numenta-nab-1.1.1 -d bayesChangePt Detector: Bayesian Changepoint pts/pyhpc-3.0.0 --device cpu -b pytorch -s 262144 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numpy -s 65536 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing pts/himeno-1.3.0 pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 262144 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 65536 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 65536 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b pytorch -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b pytorch -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b pytorch -s 262144 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b aesara -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b aesara -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b pytorch -s 65536 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b pytorch -s 65536 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b pytorch -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b pytorch -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numpy -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numpy -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numba -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 262144 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b aesara -s 262144 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numpy -s 262144 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 262144 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 262144 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 65536 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b aesara -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numpy -s 65536 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numpy -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numpy -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numba -s 65536 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numba -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b jax -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b jax -s 4194304 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b jax -s 1048576 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b jax -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b jax -s 262144 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b jax -s 262144 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b jax -s 65536 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b jax -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numpy -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numpy -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b aesara -s 65536 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 65536 benchmarks/isoneutral_mixing/ Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b numba -s 16384 benchmarks/equation_of_state/ Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b jax -s 65536 benchmarks/equation_of_state/ Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 262144 benchmarks/equation_of_state/ Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b pytorch -s 4194304 benchmarks/isoneutral_mixing/ Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing pts/pyhpc-3.0.0 --device cpu -b pytorch -s 1048576 benchmarks/equation_of_state/ Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b numpy -s 262144 benchmarks/equation_of_state/ Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State pts/pyhpc-3.0.0 --device cpu -b tensorflow -s 16384 benchmarks/isoneutral_mixing/ Device: CPU - Backend: TensorFlow - Project Size: 16384 - Benchmark: Isoneutral Mixing pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/lammps-1.4.0 benchmark_20k_atoms.in Model: 20k Atoms pts/mrbayes-1.5.0 pts/onednn-3.3.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/lammps-1.4.0 in.rhodo Model: Rhodopsin Protein pts/plaidml-1.0.4 --no-fp16 --no-train resnet50 CPU FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU