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
pts-hpc
Apple M2 Pro testing with a Apple Mac mini and Apple M2 Pro on macOS 13.5 via the Phoronix Test Suite.
,,"pts-hpc"
Processor,,Apple M2 Pro (10 Cores)
Motherboard,,Apple Mac mini
Memory,,16GB
Disk,,461GB
Graphics,,Apple M2 Pro
Monitor,,Apple M2 Pro
OS,,macOS 13.5
Kernel,,22.6.0 (arm64)
Compiler,,GCC 14.0.3 + Clang 17.0.6 + LLVM 17.0.6 + Xcode 14.3.1
File-System,,APFS
Screen Resolution,,x
,,"pts-hpc"
"ACES DGEMM - (GFLOP/s)",HIB,
"AI Benchmark Alpha - (Score)",HIB,
"DeepSpeech - Acceleration: CPU (sec)",LIB,
"GNU Octave Benchmark - (sec)",LIB,
"GROMACS - Implementation: MPI CPU - Input: water_GMX50_bare (Ns/Day)",HIB,
"Himeno Benchmark - (MFLOPS)",HIB,
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,
"Mobile Neural Network - Model: nasnet (ms)",LIB,11.523
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.825
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,3.199
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,25.079
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,5.527
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.629
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,4.664
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,35.277
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,2.37121
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,18.07
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.64
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,3.77
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.69
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,4.73
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,7.59
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,0.88
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,22.11
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,66.25
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,14.85
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,16.75
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,40.62
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,26.77
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,13.80
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,6.44
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,1187.73
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,2.11
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,18.01
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.59
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,3.73
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,2.66
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,4.69
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,7.51
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,0.87
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,21.91
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,65.60
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,14.72
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,16.59
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,40.27
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,26.71
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,13.69
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,6.38
"NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,1187.42
"NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,2.11
"Nebular Empirical Analysis Tool - (sec)",LIB,
"Numenta Anomaly Benchmark - Detector: KNN CAD (sec)",LIB,
"Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,
"Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,
"Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,
"Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,
"Numenta Anomaly Benchmark - Detector: Contextual Anomaly Detector OSE (sec)",LIB,
"Numpy Benchmark - (Score)",HIB,
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,198.544
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,127.933
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,266.297
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,341.080
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,349.577
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,888.776
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,348.905
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,771.373
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,612.431
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,375.870
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,216031
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,132806
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,215461
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,132819
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,215425
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,132815
"PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU (Examples/sec)",HIB,
"PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU (Examples/sec)",HIB,
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - 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: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - 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: CPU - Backend: JAX - Project Size: 1048576 - 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: 4194304 - 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: Numba - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 65536 - 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: Numpy - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - 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: 65536 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 262144 - 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: Numpy - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - 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: Numba - Project Size: 1048576 - 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: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - 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: PyTorch - Project Size: 16384 - 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: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 1048576 - 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: 4194304 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - 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: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 4194304 - 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: TensorFlow - Project Size: 16384 - 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: 65536 - 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: 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: 1048576 - 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: 4194304 - Benchmark: Equation of State (sec)",LIB,
"PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,
"Timed HMMer Search - (sec)",LIB,
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,8.315
"Timed MrBayes Analysis - (sec)",LIB,