diff --git a/.buildkite/pipeline.yml b/.buildkite/pipeline.yml
index be8beb68d0..9625a31c7c 100644
--- a/.buildkite/pipeline.yml
+++ b/.buildkite/pipeline.yml
@@ -881,20 +881,6 @@ steps:
   - group: "Benchmarks"
     steps:
 
-      - label: ":computer: Benchmark: GPU implicit baro wave wrt h_elem"
-        key: "gpu_implicit_barowave_wrt_h_elem"
-        command: >
-
-          julia --color=yes --project=examples perf/benchmark_dump.jl
-          --config_file $PERF_CONFIG_PATH/gpu_implicit_barowave_wrt_h_elem.yml
-          --job_id gpu_implicit_barowave_wrt_h_elem
-        artifact_paths: "gpu_implicit_barowave_wrt_h_elem/output_active/*"
-        env:
-          CLIMACOMMS_DEVICE: "CUDA"
-        agents:
-          slurm_gpus: 1
-        soft_fail: true
-
       - label: ":computer: Benchmark: GPU implicit baro wave"
         command: >
 
diff --git a/config/perf_configs/gpu_implicit_barowave_wrt_h_elem.yml b/config/perf_configs/gpu_implicit_barowave_wrt_h_elem.yml
deleted file mode 100644
index c8b053d006..0000000000
--- a/config/perf_configs/gpu_implicit_barowave_wrt_h_elem.yml
+++ /dev/null
@@ -1,17 +0,0 @@
-moist: "equil"
-apply_limiter: true
-surface_setup: "DefaultExchangeCoefficients"
-vert_diff: true
-implicit_diffusion: true
-approximate_linear_solve_iters: 2
-forcing: "held_suarez"
-precip_model: "0M"
-rad: "allskywithclear"
-log_progress: false
-z_elem: 25
-h_elem: 12
-initial_condition: DryBaroclinicWave
-t_end: 1mins
-dt: 1secs
-dt_save_to_sol: Inf
-dt_save_state_to_disk: Inf
diff --git a/perf/benchmark_dump.jl b/perf/benchmark_dump.jl
deleted file mode 100644
index b16b61f6cf..0000000000
--- a/perf/benchmark_dump.jl
+++ /dev/null
@@ -1,71 +0,0 @@
-redirect_stderr(IOContext(stderr, :stacktrace_types_limited => Ref(false)))
-import ClimaComms
-@static pkgversion(ClimaComms) >= v"0.6" && ClimaComms.@import_required_backends
-import Random
-Random.seed!(1234)
-import ClimaAtmos as CA
-import ClimaComms
-using CairoMakie
-using PrettyTables
-import YAML
-
-# Need to generate config_dict here to override `h_elem` in the loop below
-include("common.jl")
-(; config_file, job_id) = CA.commandline_kwargs()
-config = CA.AtmosConfig(config_file; job_id)
-config_dict = config.parsed_args
-(; config_files) = config
-output_dir = job_id
-mkpath(output_dir)
-
-steptimes = []
-# Iterate through varying number of horizontal elements
-for h_elem in 8:8:40
-    config_dict["h_elem"] = h_elem
-    config =
-        CA.AtmosConfig(config_dict; config_files, job_id = "$(job_id)_$h_elem")
-    simulation = CA.get_simulation(config)
-    (; integrator) = simulation
-    Y₀ = deepcopy(integrator.u)
-
-    @info "Compiling benchmark_step for h_elem=$h_elem"
-    CA.benchmark_step!(integrator, Y₀) # compile first
-
-    @info "Running benchmark_step for h_elem=$h_elem"
-    n_steps = 10
-    comms_ctx = ClimaComms.context(integrator.u.c)
-    device = ClimaComms.device(comms_ctx)
-    e = ClimaComms.@elapsed device begin
-        CA.benchmark_step!(integrator, Y₀, n_steps) # run
-    end
-    @info "Ran step! $n_steps times at $(CA.prettytime(e/n_steps*1e9)) per step"
-    steptime = e / n_steps * 1e9
-    push!(steptimes, (h_elem, steptime))
-end
-
-# Output a table with step times
-data = hcat(first.(steptimes), CA.prettytime.(last.(steptimes)))
-pretty_table(
-    data;
-    title = "Step times v/s horizontal elements",
-    header = ["h_elem", "step time"],
-    alignment = :l,
-    crop = :none,
-)
-
-# Output a plot of step time scaling
-fig = Figure(; size = (500, 500), fontsize = 40)
-generic_axis = fig[1, 1] = GridLayout()
-title = "Step Times v/s Horizontal Elements"
-xlabel = "h_elem"
-ylabel = "time (ms)"
-label = "step time"
-axis = Axis(generic_axis[1, 1]; title, xlabel, ylabel, yscale = identity)
-CairoMakie.lines!(
-    first.(steptimes),
-    last.(steptimes) ./ 1e9 .* 1e3;
-    title,
-    label,
-    linestyle = :solid,
-)
-CairoMakie.save(joinpath(output_dir, "scaling.png"), fig)