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senttoschool

macrumors 68030
Original poster
Nov 2, 2017
2,626
5,482

Summary vs stock Ryzen 5600x:

  • Matrix Multiplication: 2x faster
  • Numpy functions: Some wins to M1 Max, some to 5600x
  • General python performance: 1.7x faster
  • SpaCy NLP models: 1.25x faster
  • Pandas: 1.51x faster
GPU:

  • GPU Matrix Multiplication (GEMM) Performance: 8 TFLOPs
  • Perf/watt for training on par with RTX 3090
Memory bandwidth:

  • M1 Max CPU gets up to 200 gb/s bandwidth vs ~40 gb/s for 5600x
  • GPU used up to 330 gb/s
  • CPU & GPU combined used 360 gb/s
Package Power:

  • Idle: ~2W
  • YouTube video on Google Chrome: ~3W
  • MS Teams (Rosetta app), call with background blur: ~10W
  • Package power seems to have a ~92W hard limit
  • Fans hardly spin up from zero-RPM
Components Power:

  • CPU seems to consume up to 40W max
  • GPU seems to consume up to 60W max, usually 40-50W during benchmarks
  • ANE seems to consume no more than 8W max, usually much lower (2-4W during the ResNet benchmarks)
 
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