home scroll AI Learning

Benchmarks

Python AIBenchmark

https://pypi.org/project/ai-benchmark/

Comparison Table
https://ai-benchmark.com/ranking_cpus_and_gpus_detailed.html

The proposed program
from ai_benchmark import AIBenchmark
benchmark = AIBenchmark()
results=benchmark.run()
crashes due to error
AttributeError: module 'numpy' has no attribute 'warnings'. Did you mean: 'hanning'?
workaround:
In source file
ai_benchmark/utils.py
change
import numpy as np
to
import warnings
import numpy as np
np.warnings = warnings
(Brave AI generated answer)

Note: If ai_benchmark was installed with pip while a conda environment named test02 was active, the file is in

~/miniconda3/envs/test02/lib/python3.10/site-packages/ai_benchmark

GPU enabled

https://pypi.org/project/ai-benchmark/
Note 2: For running the benchmark on Nvidia GPUs, NVIDIA CUDA and cuDNN libraries should be installed first. Please find detailed instructions here.
links to
https://www.tensorflow.org/install/gpu

Mandelbrot benchmark


Note: Brave AI search Brave for "python measure time benchmark"
import time

start_time = time.monotonic()

# Your code here

print('seconds: ', time.monotonic() - start_time)
Brave AI response mentions line_profiler
from line_profiler import LineProfiler

def my_function():
# Your code here

lp = LineProfiler()
lp_wrapper = lp(my_function)
lp_wrapper()

lp.print_stats()
memory_profiler

Follow Me

discord