diff --git a/src/catch2/benchmark/detail/catch_analyse.hpp b/src/catch2/benchmark/detail/catch_analyse.hpp
index c932ff26..60db7d87 100644
--- a/src/catch2/benchmark/detail/catch_analyse.hpp
+++ b/src/catch2/benchmark/detail/catch_analyse.hpp
@@ -30,8 +30,13 @@ namespace Catch {
                         samples.push_back( current->count() );
                     }
 
-                    auto analysis = Catch::Benchmark::Detail::analyse_samples(cfg.benchmarkConfidenceInterval(), cfg.benchmarkResamples(), samples.begin(), samples.end());
-                    auto outliers = Catch::Benchmark::Detail::classify_outliers(samples.begin(), samples.end());
+                    auto analysis = Catch::Benchmark::Detail::analyse_samples(
+                        cfg.benchmarkConfidenceInterval(),
+                        cfg.benchmarkResamples(),
+                        samples.data(),
+                        samples.data() + samples.size() );
+                    auto outliers = Catch::Benchmark::Detail::classify_outliers(
+                        samples.data(), samples.data() + samples.size() );
 
                     auto wrap_estimate = [](Estimate<double> e) {
                         return Estimate<Duration> {
diff --git a/src/catch2/benchmark/detail/catch_estimate_clock.hpp b/src/catch2/benchmark/detail/catch_estimate_clock.hpp
index 1e916ae4..a0dc2d3d 100644
--- a/src/catch2/benchmark/detail/catch_estimate_clock.hpp
+++ b/src/catch2/benchmark/detail/catch_estimate_clock.hpp
@@ -63,8 +63,8 @@ namespace Catch {
                 auto r = run_for_at_least<Clock>(std::chrono::duration_cast<ClockDuration<Clock>>(clock_resolution_estimation_time), iterations, &resolution<Clock>)
                     .result;
                 return {
-                    FloatDuration<Clock>(mean(r.begin(), r.end())),
-                    classify_outliers(r.begin(), r.end()),
+                    FloatDuration<Clock>(mean(r.data(), r.data() + r.size())),
+                    classify_outliers(r.data(), r.data() + r.size()),
                 };
             }
             template <typename Clock>
@@ -92,8 +92,8 @@ namespace Catch {
                             .count() ) );
                 }
                 return {
-                    FloatDuration<Clock>(mean(times.begin(), times.end())),
-                    classify_outliers(times.begin(), times.end()),
+                    FloatDuration<Clock>(mean(times.data(), times.data() + times.size())),
+                    classify_outliers(times.data(), times.data() + times.size()),
                 };
             }
 
diff --git a/src/catch2/benchmark/detail/catch_stats.cpp b/src/catch2/benchmark/detail/catch_stats.cpp
index ea483a30..caad0167 100644
--- a/src/catch2/benchmark/detail/catch_stats.cpp
+++ b/src/catch2/benchmark/detail/catch_stats.cpp
@@ -30,8 +30,8 @@ namespace Catch {
                 static sample
                 resample( URng& rng,
                           unsigned int resamples,
-                          std::vector<double>::const_iterator first,
-                          std::vector<double>::const_iterator last,
+                          double const* first,
+                          double const* last,
                           Estimator& estimator ) {
                     auto n = static_cast<size_t>( last - first );
                     std::uniform_int_distribution<decltype( n )> dist( 0,
@@ -51,7 +51,7 @@ namespace Catch {
                                     dist( rng ) )] );
                         }
                         const auto estimate =
-                            estimator( resampled.begin(), resampled.end() );
+                            estimator( resampled.data(), resampled.data() + resampled.size() );
                         out.push_back( estimate );
                     }
                     std::sort( out.begin(), out.end() );
@@ -168,8 +168,7 @@ namespace Catch {
                 }
 
                 static double
-                standard_deviation( std::vector<double>::const_iterator first,
-                                    std::vector<double>::const_iterator last ) {
+                standard_deviation( double const* first, double const* last ) {
                     auto m = Catch::Benchmark::Detail::mean( first, last );
                     double variance =
                         std::accumulate( first,
@@ -201,7 +200,10 @@ namespace Catch {
 #    pragma GCC diagnostic pop
 #endif
 
-            double weighted_average_quantile(int k, int q, std::vector<double>::iterator first, std::vector<double>::iterator last) {
+            double weighted_average_quantile( int k,
+                                              int q,
+                                              double* first,
+                                              double* last ) {
                 auto count = last - first;
                 double idx = (count - 1) * k / static_cast<double>(q);
                 int j = static_cast<int>(idx);
@@ -217,12 +219,11 @@ namespace Catch {
             }
 
             OutlierClassification
-            classify_outliers( std::vector<double>::const_iterator first,
-                               std::vector<double>::const_iterator last ) {
+            classify_outliers( double const* first, double const* last ) {
                 std::vector<double> copy( first, last );
 
-                auto q1 = weighted_average_quantile( 1, 4, copy.begin(), copy.end() );
-                auto q3 = weighted_average_quantile( 3, 4, copy.begin(), copy.end() );
+                auto q1 = weighted_average_quantile( 1, 4, copy.data(), copy.data() + copy.size() );
+                auto q3 = weighted_average_quantile( 3, 4, copy.data(), copy.data() + copy.size() );
                 auto iqr = q3 - q1;
                 auto los = q1 - ( iqr * 3. );
                 auto lom = q1 - ( iqr * 1.5 );
@@ -246,8 +247,7 @@ namespace Catch {
                 return o;
             }
 
-            double mean( std::vector<double>::const_iterator first,
-                         std::vector<double>::const_iterator last ) {
+            double mean( double const* first, double const* last ) {
                 auto count = last - first;
                 double sum = 0.;
                 while (first != last) {
@@ -280,8 +280,8 @@ namespace Catch {
 
             bootstrap_analysis analyse_samples(double confidence_level,
                                                unsigned int n_resamples,
-                                               std::vector<double>::iterator first,
-                                               std::vector<double>::iterator last) {
+                                               double* first,
+                                               double* last) {
                 CATCH_INTERNAL_START_WARNINGS_SUPPRESSION
                 CATCH_INTERNAL_SUPPRESS_GLOBALS_WARNINGS
                 static std::random_device entropy;
@@ -293,8 +293,7 @@ namespace Catch {
                 auto stddev = &standard_deviation;
 
 #if defined(CATCH_CONFIG_USE_ASYNC)
-                auto Estimate = [=](double(*f)(std::vector<double>::const_iterator,
-                                               std::vector<double>::const_iterator)) {
+                auto Estimate = [=](double(*f)(double const*, double const*)) {
                     auto seed = entropy();
                     return std::async(std::launch::async, [=] {
                         std::mt19937 rng(seed);
@@ -309,8 +308,7 @@ namespace Catch {
                 auto mean_estimate = mean_future.get();
                 auto stddev_estimate = stddev_future.get();
 #else
-                auto Estimate = [=](double(*f)(std::vector<double>::const_iterator,
-                                               std::vector<double>::const_iterator)) {
+                auto Estimate = [=](double(*f)(double const* , double const*)) {
                     auto seed = entropy();
                     std::mt19937 rng(seed);
                     auto resampled = resample(rng, n_resamples, first, last, f);
diff --git a/src/catch2/benchmark/detail/catch_stats.hpp b/src/catch2/benchmark/detail/catch_stats.hpp
index c1ce5664..54621670 100644
--- a/src/catch2/benchmark/detail/catch_stats.hpp
+++ b/src/catch2/benchmark/detail/catch_stats.hpp
@@ -26,19 +26,20 @@ namespace Catch {
             // to centralize warning suppression
             bool directCompare( double lhs, double rhs );
 
-            double weighted_average_quantile(int k, int q, std::vector<double>::iterator first, std::vector<double>::iterator last);
+            double weighted_average_quantile( int k,
+                                              int q,
+                                              double* first,
+                                              double* last );
 
             OutlierClassification
-            classify_outliers( std::vector<double>::const_iterator first,
-                               std::vector<double>::const_iterator last );
+            classify_outliers( double const* first, double const* last );
 
-            double mean( std::vector<double>::const_iterator first,
-                         std::vector<double>::const_iterator last );
+            double mean( double const* first, double const* last );
 
             template <typename Estimator>
             sample jackknife(Estimator&& estimator,
-                             std::vector<double>::iterator first,
-                             std::vector<double>::iterator last) {
+                             double* first,
+                             double* last) {
                 auto n = static_cast<size_t>(last - first);
                 auto second = first;
                 ++second;
@@ -63,8 +64,8 @@ namespace Catch {
 
             template <typename Estimator>
             Estimate<double> bootstrap( double confidence_level,
-                                        std::vector<double>::iterator first,
-                                        std::vector<double>::iterator last,
+                                        double* first,
+                                        double* last,
                                         sample const& resample,
                                         Estimator&& estimator ) {
                 auto n_samples = last - first;
@@ -74,7 +75,7 @@ namespace Catch {
                 if (n_samples == 1) return { point, point, point, confidence_level };
 
                 sample jack = jackknife(estimator, first, last);
-                double jack_mean = mean(jack.begin(), jack.end());
+                double jack_mean = mean(jack.data(), jack.data() + jack.size());
                 double sum_squares = 0, sum_cubes = 0;
                 for (double x : jack) {
                     auto difference = jack_mean - x;
@@ -116,8 +117,8 @@ namespace Catch {
 
             bootstrap_analysis analyse_samples(double confidence_level,
                                                unsigned int n_resamples,
-                                               std::vector<double>::iterator first,
-                                               std::vector<double>::iterator last);
+                                               double* first,
+                                               double* last);
         } // namespace Detail
     } // namespace Benchmark
 } // namespace Catch
diff --git a/tests/SelfTest/IntrospectiveTests/InternalBenchmark.tests.cpp b/tests/SelfTest/IntrospectiveTests/InternalBenchmark.tests.cpp
index 24bfe68c..34ed8814 100644
--- a/tests/SelfTest/IntrospectiveTests/InternalBenchmark.tests.cpp
+++ b/tests/SelfTest/IntrospectiveTests/InternalBenchmark.tests.cpp
@@ -156,8 +156,12 @@ TEST_CASE("uniform samples", "[benchmark]") {
     std::vector<double> samples(100);
     std::fill(samples.begin(), samples.end(), 23);
 
-    using it = std::vector<double>::iterator;
-    auto e = Catch::Benchmark::Detail::bootstrap(0.95, samples.begin(), samples.end(), samples, [](it a, it b) {
+    auto e = Catch::Benchmark::Detail::bootstrap(
+        0.95,
+        samples.data(),
+        samples.data() + samples.size(),
+        samples,
+        []( double const* a, double const* b ) {
         auto sum = std::accumulate(a, b, 0.);
         return sum / (b - a);
     });
@@ -198,7 +202,7 @@ TEST_CASE("normal_quantile", "[benchmark]") {
 TEST_CASE("mean", "[benchmark]") {
     std::vector<double> x{ 10., 20., 14., 16., 30., 24. };
 
-    auto m = Catch::Benchmark::Detail::mean(x.begin(), x.end());
+    auto m = Catch::Benchmark::Detail::mean(x.data(), x.data() + x.size());
 
     REQUIRE(m == 19.);
 }
@@ -206,9 +210,9 @@ TEST_CASE("mean", "[benchmark]") {
 TEST_CASE("weighted_average_quantile", "[benchmark]") {
     std::vector<double> x{ 10., 20., 14., 16., 30., 24. };
 
-    auto q1 = Catch::Benchmark::Detail::weighted_average_quantile(1, 4, x.begin(), x.end());
-    auto med = Catch::Benchmark::Detail::weighted_average_quantile(1, 2, x.begin(), x.end());
-    auto q3 = Catch::Benchmark::Detail::weighted_average_quantile(3, 4, x.begin(), x.end());
+    auto q1 = Catch::Benchmark::Detail::weighted_average_quantile(1, 4, x.data(), x.data() + x.size());
+    auto med = Catch::Benchmark::Detail::weighted_average_quantile(1, 2, x.data(), x.data() + x.size());
+    auto q3 = Catch::Benchmark::Detail::weighted_average_quantile(3, 4, x.data(), x.data() + x.size());
 
     REQUIRE(q1 == 14.5);
     REQUIRE(med == 18.);
@@ -227,7 +231,8 @@ TEST_CASE("classify_outliers", "[benchmark]") {
     SECTION("none") {
         std::vector<double> x{ 10., 20., 14., 16., 30., 24. };
 
-        auto o = Catch::Benchmark::Detail::classify_outliers(x.begin(), x.end());
+        auto o = Catch::Benchmark::Detail::classify_outliers(
+            x.data(), x.data() + x.size() );
 
         REQUIRE(o.samples_seen == static_cast<int>(x.size()));
         require_outliers(o, 0, 0, 0, 0);
@@ -235,7 +240,8 @@ TEST_CASE("classify_outliers", "[benchmark]") {
     SECTION("low severe") {
         std::vector<double> x{ -12., 20., 14., 16., 30., 24. };
 
-        auto o = Catch::Benchmark::Detail::classify_outliers(x.begin(), x.end());
+        auto o = Catch::Benchmark::Detail::classify_outliers(
+            x.data(), x.data() + x.size() );
 
         REQUIRE(o.samples_seen == static_cast<int>(x.size()));
         require_outliers(o, 1, 0, 0, 0);
@@ -243,7 +249,8 @@ TEST_CASE("classify_outliers", "[benchmark]") {
     SECTION("low mild") {
         std::vector<double> x{ 1., 20., 14., 16., 30., 24. };
 
-        auto o = Catch::Benchmark::Detail::classify_outliers(x.begin(), x.end());
+        auto o = Catch::Benchmark::Detail::classify_outliers(
+            x.data(), x.data() + x.size() );
 
         REQUIRE(o.samples_seen == static_cast<int>(x.size()));
         require_outliers(o, 0, 1, 0, 0);
@@ -251,7 +258,8 @@ TEST_CASE("classify_outliers", "[benchmark]") {
     SECTION("high mild") {
         std::vector<double> x{ 10., 20., 14., 16., 36., 24. };
 
-        auto o = Catch::Benchmark::Detail::classify_outliers(x.begin(), x.end());
+        auto o = Catch::Benchmark::Detail::classify_outliers(
+            x.data(), x.data() + x.size() );
 
         REQUIRE(o.samples_seen == static_cast<int>(x.size()));
         require_outliers(o, 0, 0, 1, 0);
@@ -259,7 +267,8 @@ TEST_CASE("classify_outliers", "[benchmark]") {
     SECTION("high severe") {
         std::vector<double> x{ 10., 20., 14., 16., 49., 24. };
 
-        auto o = Catch::Benchmark::Detail::classify_outliers(x.begin(), x.end());
+        auto o = Catch::Benchmark::Detail::classify_outliers(
+            x.data(), x.data() + x.size() );
 
         REQUIRE(o.samples_seen == static_cast<int>(x.size()));
         require_outliers(o, 0, 0, 0, 1);
@@ -267,7 +276,8 @@ TEST_CASE("classify_outliers", "[benchmark]") {
     SECTION("mixed") {
         std::vector<double> x{ -20., 20., 14., 16., 39., 24. };
 
-        auto o = Catch::Benchmark::Detail::classify_outliers(x.begin(), x.end());
+        auto o = Catch::Benchmark::Detail::classify_outliers(
+            x.data(), x.data() + x.size() );
 
         REQUIRE(o.samples_seen == static_cast<int>(x.size()));
         require_outliers(o, 1, 0, 1, 0);