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Golang integer performance
package performance
import (
"testing"
)
var (
u8 uint8
u16 uint16
u32 uint32
u64 uint64
i8 int8
i16 int16
i32 int32
i64 int64
f32 float32
f64 float64
su64 = struct {
x uint64
}{}
psu64 = &struct {
x uint64
}{}
)
func BenchmarkGlobalInt8(b *testing.B) {
for k := 0; k < b.N; k++ {
i8 += 3
}
_ = i8
}
func BenchmarkGlobalInt16(b *testing.B) {
for k := 0; k < b.N; k++ {
i16 += 3
}
}
func BenchmarkGlobalInt32(b *testing.B) {
for k := 0; k < b.N; k++ {
i32 += 3
}
_ = i32
}
func BenchmarkGlobalInt64(b *testing.B) {
for k := 0; k < b.N; k++ {
i64 += 3
}
_ = i64
}
func BenchmarkGlobalUint8(b *testing.B) {
for k := 0; k < b.N; k++ {
u8 += 3
}
_ = u8
}
func BenchmarkGlobalUint16(b *testing.B) {
for k := 0; k < b.N; k++ {
u16 += 3
}
_ = u16
}
func BenchmarkGlobalUint32(b *testing.B) {
for k := 0; k < b.N; k++ {
u32 += 3
}
_ = u32
}
func BenchmarkGlobalUint64(b *testing.B) {
for k := 0; k < b.N; k++ {
u64 += 3
}
_ = u64
}
// Locals
func BenchmarkLocalInt8(b *testing.B) {
var x int8
for k := 0; k < b.N; k++ {
x += 3
}
i8 = x
}
func BenchmarkLocalInt16(b *testing.B) {
var x int16
for k := 0; k < b.N; k++ {
x += 3
}
i16 = x
}
func BenchmarkLocalInt32(b *testing.B) {
var x int32
for k := 0; k < b.N; k++ {
x += 3
}
i32 = x
}
func BenchmarkLocalInt64(b *testing.B) {
var x int64
for k := 0; k < b.N; k++ {
x += 3
}
i64 = x
}
func BenchmarkLocalUint8(b *testing.B) {
var x uint8
for k := 0; k < b.N; k++ {
x += 3
}
u8 = x
}
func BenchmarkLocalUint16(b *testing.B) {
var x uint16
for k := 0; k < b.N; k++ {
x += 3
}
u16 = x
}
func BenchmarkLocalUint32(b *testing.B) {
var x uint32
for k := 0; k < b.N; k++ {
x += 3
}
u32 = x
}
func BenchmarkLocalUint64(b *testing.B) {
var x uint64
for k := 0; k < b.N; k++ {
x += 3
}
u64 = x
}
func BenchmarkLocalStructUint64(b *testing.B) {
s := struct {
x uint64
}{}
for k := 0; k < b.N; k++ {
s.x += 3
}
u64 = s.x
}
func BenchmarkLocalStructPtrUint64(b *testing.B) {
s := &struct {
x uint64
}{}
for k := 0; k < b.N; k++ {
s.x += 3
}
u64 = s.x
}
func BenchmarkGlobalStructUint64(b *testing.B) {
for k := 0; k < b.N; k++ {
su64.x += 3
}
u64 = su64.x
}
func BenchmarkGlobalStructPtrUint64(b *testing.B) {
for k := 0; k < b.N; k++ {
psu64.x += 3
}
u64 = psu64.x
}
type I struct {
value uint32
}
func IConstructor() I {
return I{value: 1}
}
func (i *I) Plusthree() {
i.value += 3
}
func BenchmarkLocalstructMethodAdd(b *testing.B) {
var i I
for k := 0; k < b.N; k++ {
i.Plusthree()
}
u32 = i.value
}
func BenchmarkLocalstructLocalAdd(b *testing.B) {
var i I
for k := 0; k < b.N; k++ {
i.value += 3
}
u32 = i.value
}
func BenchmarkLocalconstructedMethodAdd(b *testing.B) {
var i I
for k := 0; k < b.N; k++ {
i.Plusthree()
}
u32 = i.value
}
func BenchmarkLocalconstructedLocalAdd(b *testing.B) {
var i I
for k := 0; k < b.N; k++ {
i.value += 3
}
u32 = i.value
}
<!doctype html>
<html>
<head>
<meta charset="utf-8">
<title>Performance Result Comparison</title>
<style>
.benchstat { border-collapse: collapse; }
.benchstat th:nth-child(1) { text-align: left; }
.benchstat tbody td:nth-child(1n+2):not(.note) { text-align: right; padding: 0em 1em; }
.benchstat tr:not(.configs) th { border-top: 1px solid #666; border-bottom: 1px solid #ccc; }
.benchstat .nodelta { text-align: center !important; }
td.better { font-weight: bold; color: green; }
td.same { font-weight: bold; color: blue; }
td.worse { font-weight: bold; color: red; }
.benchstat .better td.delta { font-weight: bold; }
.benchstat .worse td.delta { font-weight: bold; color: #c00; }
</style>
</head>
<body>
<table class='benchstat oldnew'>
<tr class='configs'><th><th colspan=3>integers-bench-go1.10.txt<th colspan=3>integers-bench-go1.11beta2.txt<th colspan=3>integers-bench-go1.2.2.txt<th colspan=3>integers-bench-go1.3.1.txt<th colspan=3>integers-bench-go1.3.2.txt<th colspan=3>integers-bench-go1.3.3.txt<th colspan=3>integers-bench-go1.3.txt<th colspan=3>integers-bench-go1.4.1.txt<th colspan=3>integers-bench-go1.4.2.txt<th colspan=3>integers-bench-go1.4.3.txt<th colspan=3>integers-bench-go1.4.txt<th colspan=3>integers-bench-go1.5.1.txt<th colspan=3>integers-bench-go1.5.2.txt<th colspan=3>integers-bench-go1.5.3.txt<th colspan=3>integers-bench-go1.5.4.txt<th colspan=3>integers-bench-go1.5.txt<th colspan=3>integers-bench-go1.6.4.txt<th colspan=3>integers-bench-go1.6.txt<th colspan=3>integers-bench-go1.7.6.txt<th colspan=3>integers-bench-go1.7.txt<th colspan=3>integers-bench-go1.8.7.txt<th colspan=3>integers-bench-go1.8.txt<th colspan=3>integers-bench-go1.9.6.txt<th colspan=3>integers-bench-go1.9.txt<th colspan=3>stats_fixed.txt
<tbody>
<tr><th><th colspan='25' class='metric'>time/op<th>delta
<tr><td>GlobalInt8
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;1.42%<td class='note'>(p=0.006 n=4&#43;5)
<td>2.56ns ┬▒ 0%
<td class='worse'>&#43;0.69%<td class='note'>(p=0.006 n=4&#43;4)
<td>2.54ns ┬▒ 0%
<td class='same'>Best<td class='note'>
<td>2.59ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.231 n=4&#43;4)
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;1.65%<td class='note'>(p=0.028 n=4&#43;5)
<td>2.61ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;1.65%<td class='note'>(p=0.020 n=4&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.070 n=4&#43;5)
<td>2.56ns ┬▒ 0%
<td class='worse'>&#43;0.79%<td class='note'>(p=0.003 n=4&#43;5)
<td>2.56ns ┬▒ 1%
<td class='worse'>&#43;0.63%<td class='note'>(p=0.016 n=4&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.621 n=4&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.391 n=4&#43;4)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.070 n=4&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.135 n=4&#43;5)
<td>2.56ns ┬▒ 1%
<td class='worse'>&#43;0.79%<td class='note'>(p=0.047 n=4&#43;5)
<td>2.61ns ┬▒ 2%
<td class='worse'>&#43;2.68%<td class='note'>(p=0.025 n=4&#43;5)
<td>2.57ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.223 n=4&#43;5)
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;1.10%<td class='note'>(p=0.009 n=4&#43;5)
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;1.34%<td class='note'>(p=0.003 n=4&#43;5)
<td>2.59ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.053 n=4&#43;5)
<td>2.56ns ┬▒ 1%
<td class='worse'>&#43;0.94%<td class='note'>(p=0.024 n=4&#43;5)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.13%<td class='note'>(p=0.002 n=4&#43;5)
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;1.18%<td class='note'>(p=0.034 n=4&#43;5)
<td>2.58ns ┬▒ 2%
<td class='worse'>&#43;1.73%<td class='note'>(p=0.037 n=4&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalInt16
<td>2.56ns ┬▒ 1%
<td class='same'>Best<td class='note'>
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.502 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.386 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.888 n=5&#43;4)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.157 n=5&#43;5)
<td>2.60ns ┬▒ 0%
<td class='worse'>&#43;1.72%<td class='note'>(p=0.011 n=5&#43;4)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.163 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.573 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.386 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.057 n=5&#43;4)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.733 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.467 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.753 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.611 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.241 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.082 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.310 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.760 n=5&#43;5)
<td>2.60ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.163 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.496 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.757 n=5&#43;5)
<td>2.59ns ┬▒ 0%
<td class='worse'>&#43;1.41%<td class='note'>(p=0.018 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.111 n=5&#43;5)
<td>2.59ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.267 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalInt32
<td>2.63ns ┬▒ 5%
<td class='same'>Best<td class='note'>
<td>2.57ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.285 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.112 n=5&#43;5)
<td>2.52ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.098 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.222 n=5&#43;5)
<td>2.58ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.278 n=5&#43;5)
<td>2.57ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.230 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.125 n=5&#43;4)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.125 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.112 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.125 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.088 n=5&#43;4)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.090 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.068 n=5&#43;4)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.148 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.102 n=5&#43;4)
<td>2.55ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.120 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.085 n=5&#43;5)
<td>2.61ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.701 n=5&#43;5)
<td>2.60ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.507 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.125 n=5&#43;4)
<td>2.59ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.412 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.298 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.421 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalInt64
<td>2.58ns ┬▒ 2%
<td class='same'>Best<td class='note'>
<td>2.56ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.437 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.075 n=5&#43;4)
<td>2.61ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.671 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.875 n=5&#43;5)
<td>2.60ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.455 n=5&#43;4)
<td>2.59ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.872 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.299 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.126 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.075 n=5&#43;4)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.269 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.144 n=5&#43;4)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.216 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.127 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.569 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.504 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.219 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.269 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.388 n=5&#43;5)
<td>2.66ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.172 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.216 n=5&#43;4)
<td>2.59ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.799 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.870 n=5&#43;5)
<td>2.61ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.484 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalUint8
<td>2.57ns ┬▒ 2%
<td class='same'>Best<td class='note'>
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.561 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.096 n=5&#43;4)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.606 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.719 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.281 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.430 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.063 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.494 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.273 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.072 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.067 n=5&#43;4)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.326 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.128 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.372 n=5&#43;5)
<td>2.56ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.645 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.542 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.438 n=5&#43;5)
<td>2.58ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.722 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.587 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.201 n=5&#43;4)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.577 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.758 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.716 n=5&#43;4)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalUint16
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;1.66%<td class='note'>(p=0.011 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='worse'>&#43;1.10%<td class='note'>(p=0.002 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='same'>Best<td class='note'>
<td>2.58ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.090 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='worse'>&#43;1.22%<td class='note'>(p=0.033 n=5&#43;4)
<td>2.60ns ┬▒ 0%
<td class='worse'>&#43;2.60%<td class='note'>(p=0.000 n=5&#43;4)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.29%<td class='note'>(p=0.008 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.63%<td class='note'>(p=0.003 n=5&#43;4)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.178 n=5&#43;4)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.401 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.79%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.53%<td class='note'>(p=0.007 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='worse'>&#43;0.79%<td class='note'>(p=0.039 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.47%<td class='note'>(p=0.009 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='worse'>&#43;0.95%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.60ns ┬▒ 2%
<td class='worse'>&#43;2.60%<td class='note'>(p=0.009 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='worse'>&#43;0.95%<td class='note'>(p=0.005 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.061 n=5&#43;5)
<td>2.60ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.114 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;1.26%<td class='note'>(p=0.007 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.63%<td class='note'>(p=0.003 n=5&#43;4)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.29%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.59ns ┬▒ 0%
<td class='worse'>&#43;2.21%<td class='note'>(p=0.000 n=5&#43;4)
<td>2.60ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.168 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalUint32
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;2.06%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='worse'>&#43;2.30%<td class='note'>(p=0.023 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='worse'>&#43;0.95%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.57ns ┬▒ 2%
<td class='worse'>&#43;2.14%<td class='note'>(p=0.020 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='worse'>&#43;2.22%<td class='note'>(p=0.012 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.70%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;2.06%<td class='note'>(p=0.011 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;1.03%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;1.27%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='worse'>&#43;0.79%<td class='note'>(p=0.041 n=5&#43;4)
<td>2.54ns ┬▒ 1%
<td class='worse'>&#43;0.63%<td class='note'>(p=0.035 n=5&#43;5)
<td>2.52ns ┬▒ 0%
<td class='same'>Best<td class='note'>
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;1.27%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.56ns ┬▒ 2%
<td class='worse'>&#43;1.75%<td class='note'>(p=0.022 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='worse'>&#43;1.67%<td class='note'>(p=0.012 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='worse'>&#43;1.03%<td class='note'>(p=0.049 n=5&#43;5)
<td>2.59ns ┬▒ 3%
<td class='worse'>&#43;2.78%<td class='note'>(p=0.044 n=5&#43;5)
<td>2.57ns ┬▒ 2%
<td class='worse'>&#43;2.14%<td class='note'>(p=0.011 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>2.59ns ┬▒ 0%
<td class='worse'>&#43;2.86%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.62%<td class='note'>(p=0.004 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;2.38%<td class='note'>(p=0.002 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalUint64
<td>2.59ns ┬▒ 2%
<td class='worse'>&#43;2.21%<td class='note'>(p=0.022 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='worse'>&#43;1.38%<td class='note'>(p=0.001 n=5&#43;4)
<td>2.53ns ┬▒ 0%
<td class='same'>Best<td class='note'>
<td>2.59ns ┬▒ 5%
<td class='nodelta'>~<td class='note'>(p=0.156 n=5&#43;5)
<td>2.58ns ┬▒ 3%
<td class='worse'>&#43;2.13%<td class='note'>(p=0.044 n=5&#43;5)
<td>2.59ns ┬▒ 0%
<td class='worse'>&#43;2.53%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.45%<td class='note'>(p=0.008 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.95%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.208 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.95%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='worse'>&#43;0.59%<td class='note'>(p=0.014 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='worse'>&#43;0.95%<td class='note'>(p=0.033 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;1.50%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.59ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.078 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='worse'>&#43;2.06%<td class='note'>(p=0.033 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='worse'>&#43;1.34%<td class='note'>(p=0.003 n=5&#43;5)
<td>2.57ns ┬▒ 2%
<td class='worse'>&#43;1.74%<td class='note'>(p=0.040 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.29%<td class='note'>(p=0.008 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>2.60ns ┬▒ 1%
<td class='worse'>&#43;2.92%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;1.82%<td class='note'>(p=0.013 n=5&#43;5)
<td>2.60ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.073 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalInt8
<td>1.00ns ┬▒ 4%
<td class='worse'>&#43;94.94%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.51ns ┬▒15%
<td class='same'>Best<td class='note'>
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.284 n=5&#43;4)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.284 n=5&#43;4)
<td>0.54ns ┬▒15%
<td class='nodelta'>~<td class='note'>(p=0.435 n=5&#43;5)
<td>1.08ns ┬▒ 2%
<td class='worse'>&#43;109.34%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.54ns ┬▒10%
<td class='nodelta'>~<td class='note'>(p=0.348 n=5&#43;5)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.514 n=5&#43;5)
<td>0.50ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.408 n=5&#43;5)
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.411 n=5&#43;5)
<td>0.98ns ┬▒ 0%
<td class='worse'>&#43;90.66%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.73ns ┬▒ 1%
<td class='worse'>&#43;42.51%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.74ns ┬▒ 6%
<td class='worse'>&#43;44.75%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.73ns ┬▒ 0%
<td class='worse'>&#43;42.02%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.75ns ┬▒ 2%
<td class='worse'>&#43;45.53%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.75ns ┬▒ 2%
<td class='worse'>&#43;45.14%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.75ns ┬▒ 3%
<td class='worse'>&#43;45.91%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.98ns ┬▒ 1%
<td class='worse'>&#43;90.27%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.50ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.528 n=5&#43;4)
<td>0.51ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.931 n=5&#43;5)
<td>0.99ns ┬▒ 8%
<td class='worse'>&#43;93.00%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.56ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.107 n=5&#43;5)
<td>0.52ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.704 n=5&#43;5)
<td>1.03ns ┬▒ 5%
<td class='worse'>&#43;101.17%<td class='note'>(p=0.000 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalInt16
<td>0.52ns ┬▒10%
<td class='same'>Best<td class='note'>
<td>0.50ns ┬▒ 5%
<td class='nodelta'>~<td class='note'>(p=0.498 n=5&#43;5)
<td>0.97ns ┬▒ 0%
<td class='worse'>&#43;87.98%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.52ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=1.000 n=5&#43;5)
<td>0.52ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.837 n=5&#43;5)
<td>1.08ns ┬▒ 1%
<td class='worse'>&#43;110.08%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.54ns ┬▒10%
<td class='nodelta'>~<td class='note'>(p=0.315 n=5&#43;5)
<td>0.50ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.228 n=5&#43;5)
<td>0.98ns ┬▒ 0%
<td class='worse'>&#43;89.92%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.99ns ┬▒ 3%
<td class='worse'>&#43;91.86%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.137 n=5&#43;5)
<td>0.73ns ┬▒ 1%
<td class='worse'>&#43;41.47%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.99ns ┬▒ 2%
<td class='worse'>&#43;91.09%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.97ns ┬▒ 0%
<td class='worse'>&#43;87.98%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.74ns ┬▒ 2%
<td class='worse'>&#43;43.80%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.75ns ┬▒ 5%
<td class='worse'>&#43;44.57%<td class='note'>(p=0.000 n=5&#43;5)
<td>1.01ns ┬▒ 6%
<td class='worse'>&#43;95.35%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.76ns ┬▒ 7%
<td class='worse'>&#43;46.90%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.57ns ┬▒22%
<td class='nodelta'>~<td class='note'>(p=0.179 n=5&#43;5)
<td>0.59ns ┬▒52%
<td class='nodelta'>~<td class='note'>(p=0.419 n=5&#43;5)
<td>0.51ns ┬▒12%
<td class='nodelta'>~<td class='note'>(p=0.713 n=5&#43;5)
<td>1.07ns ┬▒ 3%
<td class='worse'>&#43;106.59%<td class='note'>(p=0.000 n=5&#43;5)
<td>1.05ns ┬▒ 8%
<td class='worse'>&#43;103.88%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.55ns ┬▒17%
<td class='nodelta'>~<td class='note'>(p=0.302 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalInt32
<td>0.50ns ┬▒ 3%
<td class='same'>Best<td class='note'>
<td>1.02ns ┬▒ 8%
<td class='worse'>&#43;101.98%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.052 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.052 n=5&#43;4)
<td>0.54ns ┬▒10%
<td class='nodelta'>~<td class='note'>(p=0.176 n=5&#43;5)
<td>1.09ns ┬▒ 2%
<td class='worse'>&#43;116.27%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.53ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.067 n=5&#43;5)
<td>0.99ns ┬▒ 0%
<td class='worse'>&#43;96.43%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.50ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.477 n=5&#43;4)
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.254 n=5&#43;5)
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.254 n=5&#43;5)
<td>0.98ns ┬▒ 1%
<td class='worse'>&#43;93.45%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.51ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.450 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.052 n=5&#43;5)
<td>0.99ns ┬▒ 2%
<td class='worse'>&#43;96.83%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.49ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.054 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.052 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.052 n=5&#43;4)
<td>0.58ns ┬▒27%
<td class='nodelta'>~<td class='note'>(p=0.188 n=5&#43;5)
<td>1.01ns ┬▒ 7%
<td class='worse'>&#43;100.40%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.54ns ┬▒22%
<td class='nodelta'>~<td class='note'>(p=0.332 n=5&#43;5)
<td>0.55ns ┬▒ 3%
<td class='worse'>&#43;8.73%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.53ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.067 n=5&#43;5)
<td>0.52ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.195 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalInt64
<td>0.50ns ┬▒ 2%
<td class='same'>Best<td class='note'>
<td>0.53ns ┬▒14%
<td class='nodelta'>~<td class='note'>(p=0.227 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.178 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.178 n=5&#43;4)
<td>0.54ns ┬▒12%
<td class='nodelta'>~<td class='note'>(p=0.126 n=5&#43;5)
<td>1.08ns ┬▒ 1%
<td class='worse'>&#43;116.06%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.55ns ┬▒ 9%
<td class='worse'>&#43;10.84%<td class='note'>(p=0.018 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.178 n=5&#43;4)
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.760 n=5&#43;5)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.742 n=5&#43;5)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=1.000 n=5&#43;5)
<td>0.49ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.357 n=5&#43;4)
<td>0.51ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.393 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.178 n=5&#43;4)
<td>0.53ns ┬▒20%
<td class='nodelta'>~<td class='note'>(p=0.286 n=5&#43;5)
<td>1.00ns ┬▒ 4%
<td class='worse'>&#43;100.80%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.760 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.178 n=5&#43;5)
<td>1.05ns ┬▒10%
<td class='worse'>&#43;110.44%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.50ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.604 n=5&#43;5)
<td>0.53ns ┬▒12%
<td class='nodelta'>~<td class='note'>(p=0.271 n=5&#43;5)
<td>0.54ns ┬▒ 4%
<td class='worse'>&#43;9.24%<td class='note'>(p=0.001 n=5&#43;5)
<td>0.52ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.164 n=5&#43;5)
<td>0.53ns ┬▒ 4%
<td class='worse'>&#43;6.43%<td class='note'>(p=0.019 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalUint8
<td>0.99ns ┬▒ 2%
<td class='worse'>&#43;93.75%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.51ns ┬▒11%
<td class='same'>Best<td class='note'>
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.216 n=5&#43;4)
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.353 n=5&#43;5)
<td>0.53ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.423 n=5&#43;5)
<td>1.09ns ┬▒ 3%
<td class='worse'>&#43;112.89%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.54ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.278 n=5&#43;5)
<td>0.49ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.298 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.216 n=5&#43;4)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.473 n=5&#43;5)
<td>1.01ns ┬▒10%
<td class='worse'>&#43;97.66%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.73ns ┬▒ 1%
<td class='worse'>&#43;42.58%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.76ns ┬▒ 8%
<td class='worse'>&#43;48.44%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.73ns ┬▒ 0%
<td class='worse'>&#43;42.58%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.75ns ┬▒ 4%
<td class='worse'>&#43;46.09%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.74ns ┬▒ 4%
<td class='worse'>&#43;44.14%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.74ns ┬▒ 2%
<td class='worse'>&#43;44.14%<td class='note'>(p=0.000 n=5&#43;5)
<td>1.06ns ┬▒21%
<td class='worse'>&#43;107.03%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.52ns ┬▒15%
<td class='nodelta'>~<td class='note'>(p=0.641 n=5&#43;5)
<td>0.53ns ┬▒26%
<td class='nodelta'>~<td class='note'>(p=0.620 n=5&#43;5)
<td>1.02ns ┬▒ 7%
<td class='worse'>&#43;98.83%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.56ns ┬▒ 9%
<td class='worse'>&#43;9.77%<td class='note'>(p=0.037 n=5&#43;5)
<td>0.53ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.485 n=5&#43;5)
<td>1.01ns ┬▒ 3%
<td class='worse'>&#43;97.66%<td class='note'>(p=0.000 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalUint16
<td>0.53ns ┬▒18%
<td class='same'>Best<td class='note'>
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.429 n=5&#43;5)
<td>0.98ns ┬▒ 2%
<td class='worse'>&#43;85.93%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.50ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.389 n=5&#43;5)
<td>0.53ns ┬▒10%
<td class='nodelta'>~<td class='note'>(p=1.000 n=5&#43;5)
<td>1.09ns ┬▒ 3%
<td class='worse'>&#43;107.60%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.53ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.945 n=5&#43;5)
<td>0.50ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.350 n=5&#43;4)
<td>0.98ns ┬▒ 1%
<td class='worse'>&#43;87.07%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.99ns ┬▒ 1%
<td class='worse'>&#43;87.45%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.50ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.404 n=5&#43;5)
<td>0.73ns ┬▒ 1%
<td class='worse'>&#43;39.26%<td class='note'>(p=0.001 n=5&#43;4)
<td>1.00ns ┬▒ 7%
<td class='worse'>&#43;89.35%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.99ns ┬▒ 2%
<td class='worse'>&#43;87.83%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.74ns ┬▒ 3%
<td class='worse'>&#43;40.68%<td class='note'>(p=0.001 n=5&#43;5)
<td>0.75ns ┬▒ 5%
<td class='worse'>&#43;42.97%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.99ns ┬▒ 6%
<td class='worse'>&#43;88.97%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.74ns ┬▒ 2%
<td class='worse'>&#43;40.30%<td class='note'>(p=0.001 n=5&#43;5)
<td>0.51ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.472 n=5&#43;5)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.353 n=5&#43;4)
<td>0.53ns ┬▒13%
<td class='nodelta'>~<td class='note'>(p=0.912 n=5&#43;5)
<td>1.08ns ┬▒ 4%
<td class='worse'>&#43;105.32%<td class='note'>(p=0.000 n=5&#43;5)
<td>1.03ns ┬▒ 5%
<td class='worse'>&#43;95.06%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.53ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.882 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalUint32
<td>0.50ns ┬▒ 4%
<td class='same'>Best<td class='note'>
<td>1.03ns ┬▒11%
<td class='worse'>&#43;105.20%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.49ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.267 n=5&#43;5)
<td>0.51ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.498 n=5&#43;5)
<td>0.54ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.131 n=5&#43;5)
<td>1.08ns ┬▒ 3%
<td class='worse'>&#43;115.60%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.52ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.234 n=5&#43;5)
<td>0.99ns ┬▒ 1%
<td class='worse'>&#43;97.20%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.51ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.649 n=5&#43;5)
<td>0.50ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.532 n=5&#43;5)
<td>0.51ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.659 n=5&#43;5)
<td>0.98ns ┬▒ 1%
<td class='worse'>&#43;95.50%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.52ns ┬▒14%
<td class='nodelta'>~<td class='note'>(p=0.397 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.142 n=5&#43;5)
<td>1.00ns ┬▒ 3%
<td class='worse'>&#43;99.20%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.50ns ┬▒ 5%
<td class='nodelta'>~<td class='note'>(p=0.710 n=5&#43;5)
<td>0.52ns ┬▒12%
<td class='nodelta'>~<td class='note'>(p=0.411 n=5&#43;5)
<td>0.52ns ┬▒17%
<td class='nodelta'>~<td class='note'>(p=0.437 n=5&#43;5)
<td>0.50ns ┬▒ 5%
<td class='nodelta'>~<td class='note'>(p=0.679 n=5&#43;5)
<td>1.06ns ┬▒25%
<td class='worse'>&#43;112.00%<td class='note'>(p=0.001 n=5&#43;5)
<td>0.52ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.334 n=5&#43;5)
<td>0.55ns ┬▒ 3%
<td class='worse'>&#43;10.80%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.53ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.060 n=5&#43;5)
<td>0.52ns ┬▒ 3%
<td class='worse'>&#43;4.80%<td class='note'>(p=0.018 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalUint64
<td>0.49ns ┬▒ 0%
<td class='same'>Best<td class='note'>
<td>0.52ns ┬▒20%
<td class='nodelta'>~<td class='note'>(p=0.278 n=4&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>0.52ns ┬▒11%
<td class='nodelta'>~<td class='note'>(p=0.128 n=4&#43;5)
<td>0.52ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.082 n=4&#43;5)
<td>1.07ns ┬▒ 2%
<td class='worse'>&#43;118.78%<td class='note'>(p=0.000 n=4&#43;5)
<td>0.52ns ┬▒ 5%
<td class='worse'>&#43;6.94%<td class='note'>(p=0.039 n=4&#43;5)
<td>0.50ns ┬▒ 2%
<td class='worse'>&#43;2.04%<td class='note'>(p=0.034 n=4&#43;5)
<td>0.50ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>0.49ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.391 n=4&#43;4)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(zero variance)
<td>0.51ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.137 n=4&#43;5)
<td>1.01ns ┬▒ 3%
<td class='worse'>&#43;105.31%<td class='note'>(p=0.000 n=4&#43;5)
<td>0.51ns ┬▒13%
<td class='nodelta'>~<td class='note'>(p=0.382 n=4&#43;5)
<td>0.51ns ┬▒12%
<td class='nodelta'>~<td class='note'>(p=0.313 n=4&#43;5)
<td>1.19ns ┬▒18%
<td class='worse'>&#43;142.86%<td class='note'>(p=0.002 n=4&#43;5)
<td>0.54ns ┬▒30%
<td class='nodelta'>~<td class='note'>(p=0.283 n=4&#43;5)
<td>0.51ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.178 n=4&#43;5)
<td>0.55ns ┬▒ 4%
<td class='worse'>&#43;13.06%<td class='note'>(p=0.001 n=4&#43;5)
<td>0.52ns ┬▒11%
<td class='nodelta'>~<td class='note'>(p=0.115 n=4&#43;5)
<td>0.55ns ┬▒30%
<td class='nodelta'>~<td class='note'>(p=0.247 n=4&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalStructUint64
<td>1.01ns ┬▒10%
<td class='worse'>&#43;105.89%<td class='note'>(p=0.000 n=4&#43;5)
<td>0.49ns ┬▒ 2%
<td class='same'>Best<td class='note'>
<td>0.49ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=1.000 n=4&#43;4)
<td>0.51ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.188 n=4&#43;5)
<td>0.53ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.096 n=4&#43;5)
<td>1.08ns ┬▒ 2%
<td class='worse'>&#43;119.70%<td class='note'>(p=0.000 n=4&#43;5)
<td>0.53ns ┬▒ 7%
<td class='nodelta'>~<td class='note'>(p=0.062 n=4&#43;5)
<td>0.50ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.058 n=4&#43;4)
<td>0.49ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.681 n=4&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.391 n=4&#43;4)
<td>0.99ns ┬▒ 1%
<td class='worse'>&#43;100.20%<td class='note'>(p=0.000 n=4&#43;5)
<td>0.50ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.521 n=4&#43;5)
<td>0.50ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.319 n=4&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.391 n=4&#43;5)
<td>0.53ns ┬▒16%
<td class='nodelta'>~<td class='note'>(p=0.145 n=4&#43;5)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.193 n=4&#43;5)
<td>0.51ns ┬▒11%
<td class='nodelta'>~<td class='note'>(p=0.265 n=4&#43;5)
<td>0.99ns ┬▒ 3%
<td class='worse'>&#43;101.02%<td class='note'>(p=0.000 n=4&#43;5)
<td>0.59ns ┬▒33%
<td class='nodelta'>~<td class='note'>(p=0.136 n=4&#43;5)
<td>0.53ns ┬▒18%
<td class='nodelta'>~<td class='note'>(p=0.239 n=4&#43;5)
<td>1.01ns ┬▒ 8%
<td class='worse'>&#43;105.48%<td class='note'>(p=0.000 n=4&#43;5)
<td>0.56ns ┬▒ 5%
<td class='worse'>&#43;12.89%<td class='note'>(p=0.002 n=4&#43;5)
<td>0.52ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.100 n=4&#43;5)
<td>1.05ns ┬▒16%
<td class='worse'>&#43;114.01%<td class='note'>(p=0.000 n=4&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalStructPtrUint64
<td>2.60ns ┬▒ 6%
<td class='same'>Best<td class='note'>
<td>2.57ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.481 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.359 n=5&#43;4)
<td>2.54ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.194 n=5&#43;5)
<td>2.56ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.335 n=5&#43;5)
<td>2.61ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.961 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.507 n=5&#43;5)
<td>2.56ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.270 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.223 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.239 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.224 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.152 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.199 n=5&#43;5)
<td>2.53ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.112 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.154 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.187 n=5&#43;5)
<td>2.55ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.231 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.188 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.610 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.272 n=5&#43;5)
<td>2.56ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.319 n=5&#43;5)
<td>2.60ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.882 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.426 n=5&#43;5)
<td>2.62ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.731 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalStructUint64
<td>2.56ns ┬▒ 2%
<td class='same'>Best<td class='note'>
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.690 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.487 n=5&#43;4)
<td>2.57ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.678 n=5&#43;5)
<td>2.59ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.358 n=5&#43;5)
<td>2.61ns ┬▒ 1%
<td class='worse'>&#43;1.88%<td class='note'>(p=0.015 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.718 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.109 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.473 n=5&#43;4)
<td>2.56ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.771 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.131 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.241 n=5&#43;4)
<td>2.61ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.261 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.781 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.653 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.560 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.781 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.473 n=5&#43;4)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.432 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.671 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.713 n=5&#43;5)
<td>2.58ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.192 n=5&#43;5)
<td>2.56ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.830 n=5&#43;5)
<td>2.60ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.229 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>GlobalStructPtrUint64
<td>2.49ns ┬▒ 1%
<td class='worse'>&#43;2.63%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.50ns ┬▒ 1%
<td class='worse'>&#43;2.88%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='worse'>&#43;5.14%<td class='note'>(p=0.000 n=5&#43;4)
<td>2.43ns ┬▒ 1%
<td class='same'>Best<td class='note'>
<td>2.45ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.217 n=5&#43;5)
<td>2.47ns ┬▒ 0%
<td class='worse'>&#43;1.65%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.44ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.486 n=5&#43;5)
<td>2.42ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.359 n=5&#43;5)
<td>2.43ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.532 n=5&#43;5)
<td>2.42ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.359 n=5&#43;5)
<td>2.43ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.532 n=5&#43;5)
<td>2.42ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.251 n=5&#43;4)
<td>2.45ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.263 n=5&#43;5)
<td>2.44ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.568 n=5&#43;5)
<td>2.43ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.896 n=5&#43;5)
<td>2.42ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.087 n=5&#43;4)
<td>2.43ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.863 n=5&#43;5)
<td>2.48ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.423 n=5&#43;5)
<td>2.49ns ┬▒ 1%
<td class='worse'>&#43;2.47%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.50ns ┬▒ 0%
<td class='worse'>&#43;2.88%<td class='note'>(p=0.000 n=5&#43;4)
<td>2.48ns ┬▒ 1%
<td class='worse'>&#43;2.22%<td class='note'>(p=0.003 n=5&#43;5)
<td>2.49ns ┬▒ 1%
<td class='worse'>&#43;2.63%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.50ns ┬▒ 0%
<td class='worse'>&#43;2.72%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.50ns ┬▒ 1%
<td class='worse'>&#43;2.88%<td class='note'>(p=0.000 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalstructMethodAdd
<td>2.60ns ┬▒ 2%
<td class='worse'>&#43;2.85%<td class='note'>(p=0.014 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='worse'>&#43;2.06%<td class='note'>(p=0.005 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.97%<td class='note'>(p=0.001 n=5&#43;4)
<td>2.56ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.383 n=5&#43;5)
<td>2.55ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.160 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;2.14%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='worse'>&#43;0.95%<td class='note'>(p=0.037 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='worse'>&#43;0.55%<td class='note'>(p=0.029 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.87%<td class='note'>(p=0.004 n=5&#43;4)
<td>2.54ns ┬▒ 0%
<td class='worse'>&#43;0.63%<td class='note'>(p=0.009 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='worse'>&#43;0.47%<td class='note'>(p=0.033 n=5&#43;4)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.168 n=5&#43;4)
<td>2.55ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.274 n=5&#43;5)
<td>2.53ns ┬▒ 0%
<td class='same'>Best<td class='note'>
<td>2.55ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.160 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.399 n=5&#43;5)
<td>2.51ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.065 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.113 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='worse'>&#43;1.98%<td class='note'>(p=0.013 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='worse'>&#43;0.87%<td class='note'>(p=0.004 n=5&#43;4)
<td>2.56ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.073 n=5&#43;5)
<td>2.60ns ┬▒ 1%
<td class='worse'>&#43;2.85%<td class='note'>(p=0.001 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.37%<td class='note'>(p=0.004 n=5&#43;5)
<td>2.59ns ┬▒ 1%
<td class='worse'>&#43;2.29%<td class='note'>(p=0.011 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalstructLocalAdd
<td>1.01ns ┬▒ 3%
<td class='worse'>&#43;98.81%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.51ns ┬▒ 5%
<td class='same'>Best<td class='note'>
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.099 n=5&#43;4)
<td>0.50ns ┬▒ 3%
<td class='nodelta'>~<td class='note'>(p=0.282 n=5&#43;5)
<td>0.55ns ┬▒11%
<td class='nodelta'>~<td class='note'>(p=0.078 n=5&#43;5)
<td>0.56ns ┬▒ 5%
<td class='worse'>&#43;10.67%<td class='note'>(p=0.002 n=5&#43;5)
<td>0.52ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.470 n=5&#43;5)
<td>0.50ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.262 n=5&#43;5)
<td>1.00ns ┬▒ 6%
<td class='worse'>&#43;97.63%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.98ns ┬▒ 1%
<td class='worse'>&#43;94.47%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.49ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.190 n=5&#43;5)
<td>0.47ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.072 n=5&#43;5)
<td>1.02ns ┬▒11%
<td class='worse'>&#43;101.58%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.99ns ┬▒ 4%
<td class='worse'>&#43;95.65%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.49ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.109 n=5&#43;4)
<td>0.53ns ┬▒12%
<td class='nodelta'>~<td class='note'>(p=0.234 n=5&#43;5)
<td>0.98ns ┬▒ 2%
<td class='worse'>&#43;94.47%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.56ns ┬▒38%
<td class='nodelta'>~<td class='note'>(p=0.353 n=5&#43;5)
<td>1.06ns ┬▒24%
<td class='worse'>&#43;109.09%<td class='note'>(p=0.001 n=5&#43;5)
<td>0.49ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.190 n=5&#43;5)
<td>0.51ns ┬▒ 6%
<td class='nodelta'>~<td class='note'>(p=0.789 n=5&#43;5)
<td>0.56ns ┬▒ 6%
<td class='worse'>&#43;9.88%<td class='note'>(p=0.011 n=5&#43;5)
<td>0.57ns ┬▒18%
<td class='nodelta'>~<td class='note'>(p=0.099 n=5&#43;5)
<td>0.51ns ┬▒ 5%
<td class='nodelta'>~<td class='note'>(p=0.451 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalconstructedMethodAdd
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;1.58%<td class='note'>(p=0.003 n=5&#43;5)
<td>2.58ns ┬▒ 2%
<td class='worse'>&#43;1.97%<td class='note'>(p=0.023 n=5&#43;5)
<td>2.57ns ┬▒ 1%
<td class='worse'>&#43;1.32%<td class='note'>(p=0.023 n=5&#43;4)
<td>2.53ns ┬▒ 1%
<td class='same'>Best<td class='note'>
<td>2.57ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.117 n=5&#43;5)
<td>2.58ns ┬▒ 0%
<td class='worse'>&#43;1.82%<td class='note'>(p=0.004 n=5&#43;4)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.139 n=5&#43;5)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.491 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.102 n=5&#43;5)
<td>2.55ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.099 n=5&#43;4)
<td>2.54ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.650 n=5&#43;5)
<td>2.35ns ┬▒12%
<td class='nodelta'>~<td class='note'>(p=0.183 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.442 n=5&#43;5)
<td>2.55ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.346 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.272 n=5&#43;5)
<td>2.61ns ┬▒ 5%
<td class='nodelta'>~<td class='note'>(p=0.117 n=5&#43;5)
<td>2.54ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.685 n=5&#43;5)
<td>2.55ns ┬▒ 1%
<td class='nodelta'>~<td class='note'>(p=0.253 n=5&#43;5)
<td>2.58ns ┬▒ 1%
<td class='worse'>&#43;1.66%<td class='note'>(p=0.012 n=5&#43;5)
<td>2.57ns ┬▒ 2%
<td class='worse'>&#43;1.26%<td class='note'>(p=0.050 n=5&#43;5)
<td>2.60ns ┬▒ 5%
<td class='nodelta'>~<td class='note'>(p=0.143 n=5&#43;5)
<td>2.60ns ┬▒ 1%
<td class='worse'>&#43;2.45%<td class='note'>(p=0.000 n=5&#43;5)
<td>2.59ns ┬▒ 2%
<td class='worse'>&#43;2.29%<td class='note'>(p=0.021 n=5&#43;5)
<td>2.59ns ┬▒ 2%
<td class='worse'>&#43;2.37%<td class='note'>(p=0.015 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>LocalconstructedLocalAdd
<td>0.99ns ┬▒ 1%
<td class='worse'>&#43;95.93%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.50ns ┬▒ 5%
<td class='same'>Best<td class='note'>
<td>0.51ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.894 n=5&#43;5)
<td>0.49ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.184 n=5&#43;4)
<td>0.57ns ┬▒14%
<td class='nodelta'>~<td class='note'>(p=0.066 n=5&#43;5)
<td>1.08ns ┬▒ 2%
<td class='worse'>&#43;114.29%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.52ns ┬▒11%
<td class='nodelta'>~<td class='note'>(p=0.410 n=5&#43;5)
<td>0.50ns ┬▒ 0%
<td class='nodelta'>~<td class='note'>(p=0.670 n=5&#43;5)
<td>0.98ns ┬▒ 1%
<td class='worse'>&#43;95.24%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.98ns ┬▒ 0%
<td class='worse'>&#43;94.44%<td class='note'>(p=0.000 n=5&#43;4)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.553 n=5&#43;5)
<td>0.46ns ┬▒11%
<td class='nodelta'>~<td class='note'>(p=0.079 n=5&#43;5)
<td>1.06ns ┬▒20%
<td class='worse'>&#43;110.32%<td class='note'>(p=0.000 n=5&#43;5)
<td>1.01ns ┬▒ 8%
<td class='worse'>&#43;100.00%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.50ns ┬▒ 8%
<td class='nodelta'>~<td class='note'>(p=0.882 n=5&#43;5)
<td>0.55ns ┬▒24%
<td class='nodelta'>~<td class='note'>(p=0.274 n=5&#43;5)
<td>1.00ns ┬▒ 3%
<td class='worse'>&#43;97.62%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.53ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.218 n=5&#43;5)
<td>0.50ns ┬▒ 2%
<td class='nodelta'>~<td class='note'>(p=0.553 n=5&#43;5)
<td>0.98ns ┬▒ 3%
<td class='worse'>&#43;95.24%<td class='note'>(p=0.000 n=5&#43;5)
<td>0.52ns ┬▒ 9%
<td class='nodelta'>~<td class='note'>(p=0.534 n=5&#43;5)
<td>0.57ns ┬▒10%
<td class='worse'>&#43;12.30%<td class='note'>(p=0.016 n=5&#43;5)
<td>0.53ns ┬▒ 6%
<td class='worse'>&#43;5.95%<td class='note'>(p=0.046 n=5&#43;5)
<td>0.51ns ┬▒ 4%
<td class='nodelta'>~<td class='note'>(p=0.608 n=5&#43;5)
<td>
<td class='same'><td class='note'>
<tr><td>&nbsp;
</tbody>
</table>
</body>
</html>
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