Benchmarking hardware for ML/DL
This page contains results and explanations of benchmarking metrics for my hardware:
2020 M1 Macbook Pro 8GB

Stream
gcc -O stream.c -o stream
./stream
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STREAM version $Revision: 5.10 $
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This system uses 8 bytes per array element.
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Array size = 10000000 (elements), Offset = 0 (elements)
Memory per array = 76.3 MiB (= 0.1 GiB).
Total memory required = 228.9 MiB (= 0.2 GiB).
Each kernel will be executed 10 times.
The *best* time for each kernel (excluding the first iteration)
will be used to compute the reported bandwidth.
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Your clock granularity/precision appears to be 1 microseconds.
Each test below will take on the order of 15047 microseconds.
(= 15047 clock ticks)
Increase the size of the arrays if this shows that
you are not getting at least 20 clock ticks per test.
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WARNING -- The above is only a rough guideline.
For best results, please be sure you know the
precision of your system timer.
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Function Best Rate MB/s Avg time Min time Max time
Copy: 60496.6 0.002718 0.002645 0.002956
Scale: 49323.0 0.003346 0.003244 0.003575
Add: 56036.1 0.004534 0.004283 0.005507
Triad: 55933.4 0.004587 0.004291 0.006148
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Solution Validates: avg error less than 1.000000e-13 on all three arrays
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GPU Info
Build of product 'gpuinfo' complete! (38.30s)
GPU name: Apple M1
GPU vendor: Apple
GPU core count: 8
GPU clock frequency: 1.278 GHz
GPU bandwidth: 68.3 GB/s
GPU FLOPS: 2.617 TFLOPS
GPU IPS: 1.309 TIPS
GPU system level cache: 8 MB
GPU memory: 8 GB
GPU family: Apple 7