diff --git a/passbook/flows/management/commands/benchmark.py b/passbook/flows/management/commands/benchmark.py
new file mode 100644
index 000000000..c949690c5
--- /dev/null
+++ b/passbook/flows/management/commands/benchmark.py
@@ -0,0 +1,116 @@
+"""passbook benchmark command"""
+from csv import DictWriter
+from multiprocessing import Manager, Process, cpu_count
+from sys import stdout
+from time import time
+from typing import List
+
+from django import db
+from django.core.management.base import BaseCommand
+from django.test import RequestFactory
+from structlog import get_logger
+
+from passbook import __version__
+from passbook.core.models import User
+from passbook.flows.models import Flow
+from passbook.flows.planner import PLAN_CONTEXT_PENDING_USER, FlowPlanner
+
+LOGGER = get_logger()
+
+
+class FlowPlanProcess(Process):
+    """Test process which executes flow planner"""
+
+    def __init__(self, index, return_dict, flow, user) -> None:
+        super().__init__()
+        self.index = index
+        self.return_dict = return_dict
+        self.flow = flow
+        self.user = user
+        self.request = RequestFactory().get("/")
+
+    def run(self):
+        print(f"Proc {self.index} Running")
+
+        def test_inner():
+            planner = FlowPlanner(self.flow)
+            planner.use_cache = False
+            planner.plan(self.request, {PLAN_CONTEXT_PENDING_USER: self.user})
+
+        diffs = []
+        for _ in range(1000):
+            start = time()
+            test_inner()
+            end = time()
+            diffs.append(end - start)
+        self.return_dict[self.index] = diffs
+
+
+class Command(BaseCommand):
+    """Benchmark passbook"""
+
+    def add_arguments(self, parser):
+        parser.add_argument(
+            "-p",
+            "--processes",
+            default=cpu_count(),
+            action="store",
+            help="How many processes should be started.",
+        )
+        parser.add_argument(
+            "--csv", action="store_true", help="Output results as CSV",
+        )
+
+    def benchmark_flows(self, proc_count) -> str:
+        """Get full recovery link"""
+        flow = Flow.objects.get(slug="default-authentication-flow")
+        user = User.objects.get(username="pbadmin")
+        manager = Manager()
+        return_dict = manager.dict()
+
+        jobs = []
+        db.connections.close_all()
+        for i in range(proc_count):
+            proc = FlowPlanProcess(i, return_dict, flow, user)
+            jobs.append(proc)
+            proc.start()
+
+        for proc in jobs:
+            proc.join()
+        return return_dict.values()
+
+    def handle(self, *args, **options):
+        """Start benchmark"""
+        proc_count = options.get("processes", 1)
+        all_values = self.benchmark_flows(proc_count)
+        if options.get("csv"):
+            self.output_csv(all_values)
+        else:
+            self.output_overview(all_values)
+
+    def output_overview(self, values: List[List[int]]):
+        """Output results human readable"""
+        total_max = max([max(inner) for inner in values])
+        total_min = min([min(inner) for inner in values])
+        total_avg = sum([sum(inner) for inner in values]) / sum(
+            [len(inner) for inner in values]
+        )
+
+        print(f"Version: {__version__}")
+        print(f"Processes: {len(values)}")
+        print(f"\tMax: {total_max * 100}ms")
+        print(f"\tMin: {total_min * 100}ms")
+        print(f"\tAvg: {total_avg * 100}ms")
+
+    def output_csv(self, values: List[List[int]]):
+        """Output results as CSV"""
+        proc_count = len(values)
+        fieldnames = [f"proc_{idx}" for idx in range(proc_count)]
+        writer = DictWriter(stdout, fieldnames=fieldnames)
+
+        writer.writeheader()
+        for run_idx in range(len(values[0])):
+            row_dict = {}
+            for proc_idx in range(proc_count):
+                row_dict[f"proc_{proc_idx}"] = values[proc_idx][run_idx] * 100
+            writer.writerow(row_dict)