Very slow printing of CuArray in benchmark result

When benchmarking an operation that ends up returning a CuArray, the REPL becomes irresponsive for several seconds after the output of the benchmark was printed, only for printing the resulting array.

This is what I see in the example below:

1. Computing and printing the product of two arrays is fast, as expected.
2. Now when I try to benchmark the same operation:
   2. 1. Until printing 1000×1000 CuArray{Float64, 2, CUDA.DeviceMemory}: everything is normal.
   2. 2. It takes 2 minutes to print the resulting array, after 2.1.

julia> using CUDA, BenchmarkTools

julia> @time CuArray(rand(1000,1000)) * CuArray(rand(1000,1000))
  0.021615 seconds (81 allocations: 15.261 MiB, 14.13% gc time)
1000×1000 CuArray{Float64, 2, CUDA.DeviceMemory}:
 250.421  253.464  258.525  246.037  …  244.642  236.536  258.177
 254.117  262.279  273.359  250.726     248.223  247.411  268.022
 251.798  257.8    259.521  252.819     244.667  250.107  261.909
 254.53   259.457  264.3    250.033     252.791  248.546  267.495
   ⋮                                 ⋱                    
 250.403  260.72   258.866  243.41      240.832  244.33   259.653
 251.661  260.73   260.969  246.357     240.858  242.686  264.053
 259.919  266.168  266.078  248.596     249.35   249.275  270.664
 251.824  255.709  263.872  253.726     242.164  241.979  260.17

julia> @time @btime $(CuArray(rand(1000,1000))) * $(CuArray(rand(1000,1000)))
  28.111 μs (50 allocations: 1.17 KiB)
 12.173401 seconds (73.87 k allocations: 17.424 MiB, 11.67% gc time, 0.18% compilation time)
1000×1000 CuArray{Float64, 2, CUDA.DeviceMemory}:  ## <<< 2 minutes after this to print the array
 251.765  244.449  255.83   235.117  …  253.868  246.983  250.364
 249.094  242.495  253.292  237.452     251.398  248.822  250.646
 250.96   247.65   259.761  235.696     258.37   250.399  254.729
 251.986  242.604  259.55   234.619     253.424  248.207  250.921
   ⋮                                 ⋱                    
 250.439  253.406  264.648  244.909     263.801  253.172  254.22
 247.734  240.944  257.84   234.611     252.111  242.606  250.686
 246.776  237.175  257.676  233.803     246.963  242.613  247.432
 257.374  244.904  259.754  238.249     257.431  246.478  248.384

julia> versioninfo()
Julia Version 1.10.6
Commit 67dffc4a8ae (2024-10-28 12:23 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 8 × Intel(R) Core(TM) i7-8550U CPU @ 1.80GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, skylake)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)
Environment:
  JULIA_EDITOR = vim
  JULIA_PKG_PRESERVE_TIERED_INSTALLED = true

(jl_1hRjVB) pkg> st
Status `/tmp/jl_1hRjVB/Project.toml`
  [6e4b80f9] BenchmarkTools v1.5.0
  [052768ef] CUDA v5.5.2

Reproduce the issue with the shown Julia REPL commands, especially the @time @btime expression returning a CuArray. Trace how the benchmark result is printed after the timing output; done means the resulting array no longer causes several minutes of delayed printing.