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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 sqlite-memory.
Fastest Run
0.005418s
Average Run
0.069814s
Slowest Run
0.323392s
Cumulative Time
5.445s
Effective Speed
14.324/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
sqlite-memory
0.011893s
PHPFUI
sqlite-memory
0.022028s
Cycle
sqlite-memory
0.023986s
PHPFUIBatch
sqlite-memory
0.024710s
Propel2
sqlite-memory
0.045488s
ActiveRecord
sqlite-memory
0.046491s
RedBean
sqlite-memory
0.054854s
DivergenceV3
sqlite-memory
0.058695s
Yii
sqlite-memory
0.061358s
Doctrine
sqlite-memory
0.104974s
CakeCached
sqlite-memory
0.127842s
Cake
sqlite-memory
0.133757s
Eloquent
sqlite-memory
0.191504s

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
0.001171s
Read
0.003418s
Update
0.005670s
Delete
0.000233s

Matrix Performance

Framework Storage Samples Total Insert Read Update Delete
Atlas
2.0.1
sqlite-memory 312 0.011893s 0.001171s 0.003418s 0.005670s 0.000233s
PHPFUI
3.0.3
sqlite-memory 312 0.022028s 0.004223s 0.005351s 0.009640s 0.000647s
Cycle
2.16.0
sqlite-memory 312 0.023986s 0.001013s 0.003033s 0.004255s 0.000164s
PHPFUIBatch
3.0.3
sqlite-memory 312 0.024710s 0.006161s 0.005034s 0.010017s 0.001341s
Propel2
6cb272b6
sqlite-memory 312 0.045488s 0.007338s 0.011485s 0.018221s 0.001821s
ActiveRecord
2.0.6
sqlite-memory 312 0.046491s 0.010528s 0.009809s 0.023104s 0.000833s
RedBean
5.7.5
sqlite-memory 312 0.054854s 0.007080s 0.005679s 0.022766s 0.001531s
DivergenceV3
3.2.0
sqlite-memory 312 0.058695s 0.011085s 0.013932s 0.030209s 0.001224s
Yii
2.0.54
sqlite-memory 312 0.061358s 0.010707s 0.016202s 0.022471s 0.002323s
Doctrine
3.6.2
sqlite-memory 312 0.104974s 0.022564s 0.017059s 0.018556s 0.001576s
CakeCached
5.3.3
sqlite-memory 312 0.127842s 0.045371s 0.017826s 0.048530s 0.003297s
Cake
5.3.3
sqlite-memory 312 0.133757s 0.048734s 0.019003s 0.049274s 0.003308s
Eloquent
13.2.0
sqlite-memory 312 0.191504s 0.037605s 0.022422s 0.088599s 0.004846s