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20260329203643-74505162

Status
complete
Signed
409ffba3dd66...5ffbf106
Host
eimu
Operating System
Linux
Kernel 6.19.6
PHP
8.5.3
CPU
AMD Ryzen 9 5950X 16-Core Processor
Memory
31.2 GB
Disk
3.5 TB
Started
Generated
Signed By
runner-20260329222123
Processor
AMD Ryzen 9 5950X 16-Core Processor
32 cores · x86_64
Memory
31.2 GB
System RAM captured from manifest
DIMM_A2 16 GiB 2666 MT/s DDR4 F4-4266C19-16GVK DIMM_B2 16 GiB 2666 MT/s DDR4 F4-4266C19-16GVK
Disk
3.5 TB
/dev/nvme0n1
Device: /dev/nvme0n1 Capacity: 3.5 TB

Machine Runtime Envelope

End-to-end runtime figures across all non-warmup samples for mariadb.
Fastest Run
0.053650s
Average Run
0.127033s
Slowest Run
0.409417s
Cumulative Time
9.909s
Effective Speed
7.872/s
Measured Samples
78
Matrix Combinations
13
Scenarios
6

How Scenario Families Shift Rankings

Why the row shape changes rankings, and why the write/read mix changes what “fast” means.
Expand explanation
Family Pressure Why It Changes Speed Avg Runtime
simple baseline row shape Shows framework overhead with minimal field complexity, so object creation and query setup dominate. 0.099689s
canary mixed field and nullable stress Wide mixed records amplify casting, hydration, dirty tracking, and adapter metadata overhead. 0.154049s
int_fixed pure scalar writes A low-noise floor. Slow results here usually mean framework machinery is expensive even before text and cast-heavy payloads show up. 0.123969s
float_fixed numeric conversion paths Decimal and float normalization can widen update and verification cost, especially for ORMs that compare serialized values. 0.141195s
string_fixed predictable text hydration Column count and text assignment matter more than payload variability, which makes hydration strategy easier to isolate. 0.118621s
string_variable application-like text workload Variable strings and note fields make this the closest to real CRUD traffic and usually punish heavier active-record layers the most. 0.122112s
Operation Shape Why Models Move
Warmup vs hot runs Run 1 is warmup. Hot-path averages exclude it so boot and metadata setup do not dominate steady-state rankings.
Insert and indexed schemas Indexed tables make writes cost more because every insert and many updates must maintain secondary indexes as well as the row itself.
Read all vs read probes Read All rewards bulk hydration efficiency; random and tail probes expose per-query setup, lookup overhead, and tiny-result inefficiency.
Update with verification Each update shape is followed by a verification read, so dirty-checking, write SQL generation, hydration, and comparison all affect the final time.
Delete with confirmation Deletes are checked afterward. Frameworks that pay extra for follow-up lookups or teardown lose more time here than a bare SQL path.
Total runtime The total runtime metric is effectively a benchmark of the machine plus adapter behavior across the full workload, not just one CRUD verb.

Matrix Runtime Curve

Engine filter applies to the matrix chart, best-operation profile, and matrix table.
Atlas
mariadb
0.059061s
PHPFUIBatch
mariadb
0.072125s
Cycle
mariadb
0.072922s
PHPFUI
mariadb
0.076672s
Propel2
mariadb
0.092292s
DivergenceV2
mariadb
0.099256s
DivergenceV3
mariadb
0.117451s
Yii
mariadb
0.125440s
Doctrine
mariadb
0.145618s
RedBean
mariadb
0.148984s
Cake
mariadb
0.174172s
CakeCached
mariadb
0.176717s
Eloquent
mariadb
0.290719s

Scenario Families

simple
0.099689s
string_fixed
0.118621s
string_variable
0.122112s
int_fixed
0.123969s
float_fixed
0.141195s
canary
0.154049s

Operation Profile

Insert
0.005475s
Read
0.011232s
Update
0.034971s
Delete
0.005476s

Matrix Performance

Framework Storage Samples Total Insert Read Update Delete
Atlas
2.0.1
mariadb 312 0.059061s 0.005475s 0.011232s 0.034971s 0.005476s
PHPFUIBatch
3.0.3
mariadb 312 0.072125s 0.007551s 0.012312s 0.046393s 0.003094s
Cycle
2.16.0
mariadb 312 0.072922s 0.005775s 0.011239s 0.035555s 0.005945s
PHPFUI
3.0.3
mariadb 312 0.076672s 0.008868s 0.012574s 0.046404s 0.006078s
Propel2
6cb272b6
mariadb 312 0.092292s 0.014117s 0.012697s 0.048751s 0.009507s
DivergenceV2
2.1.4
mariadb 312 0.099256s 0.013371s 0.016609s 0.061413s 0.005905s
DivergenceV3
3.2.0
mariadb 312 0.117451s 0.015642s 0.022844s 0.069802s 0.006569s
Yii
2.0.54
mariadb 312 0.125440s 0.018615s 0.025889s 0.060829s 0.009575s
Doctrine
3.6.2
mariadb 312 0.145618s 0.026813s 0.026906s 0.041315s 0.004842s
RedBean
5.7.5
mariadb 312 0.148984s 0.019573s 0.007549s 0.096448s 0.008739s
Cake
5.3.3
mariadb 312 0.174172s 0.053201s 0.026042s 0.076846s 0.005651s
CakeCached
5.3.3
mariadb 312 0.176717s 0.054525s 0.026752s 0.076597s 0.005720s
Eloquent
13.2.0
mariadb 312 0.290719s 0.046422s 0.038589s 0.148028s 0.016533s