tensor/docs/benchmarks/release-vs-head.md

Benchmark report: v1.0.0 against head 045ef28

One live comparison, regenerated by just bench-report and never accumulated: the newest release tag against the working tree, taken in one interleaved session on an idle machine. Re-run it before a release and commit the file the run writes.

Environment

• CPU: AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S, 32 logical cores
• Memory: 118 GiB
• OS: Linux 7.2.5-200.fc44.x86_64
• Go: go version go1.27.1 linux/amd64
• Build: the portable build, no pinned GOAMD64 level, no GOEXPERIMENT

Revisions

• Release: v1.0.0
• Head: 045ef28
• The set: the benchmarks bench_set names that both revisions carry; a name either side lacks is left out, never counted as a result.

Method

Four interleaved rounds, the side order alternating between rounds, two counts per side per round, -benchtime=0.5s with -benchmem, medians over the eight samples a side collects. A factor at or above 1.05 is faster, at or below 0.95 slower, anything between noise. Time of the release divides time of the head, so above one means the head is faster.

Results

Benchmark	v1.0.0	head 045ef28	factor	B/op release → head	allocs/op release → head
KernelTransposeTiled256	87.58 µs	72.89 µs	1.20x	524752 → 524752	4 → 4
Prod2D	49.68 µs	42.41 µs	1.17x	5416 → 5416	37 → 37
MatMulSmall64	43.30 µs	41.00 µs	1.06x	35040 → 35040	69 → 69
Add1M	366.14 µs	349.53 µs	1.05x	8005866 → 8005863	69 → 69
CumSum2D	232.91 µs	222.16 µs	1.05x	2098495 → 2098498	37 → 37
FFT4096	26.88 µs	25.52 µs	1.05x	65899 → 65899	3 → 3
MatVec	29.53 µs	28.21 µs	1.05x	5416 → 5416	37 → 37
IntegrateHeat2D	936.53 µs	909.54 µs	1.03x	92464 → 92464	159 → 159
MinimiseLBFGSBounded	9.02 µs	8.76 µs	1.03x	19016 → 19016	53 → 53
MatMul1024	26.00 ms	25.46 ms	1.02x	8392200 → 8391652	70 → 69
MatMulOdd130	162.07 µs	158.28 µs	1.02x	141205 → 141205	57 → 57
MeanAxis2D	25.85 µs	25.44 µs	1.02x	5464 → 5464	37 → 37
Median	2.64 ms	2.60 ms	1.02x	401414 → 401410	1 → 1
Dot	84.49 µs	83.68 µs	1.01x	1171 → 1174	36 → 36
EinsumBatchedMatMul	314.97 µs	312.57 µs	1.01x	528746 → 528745	78 → 78
FFT2_512x512	959.31 µs	948.74 µs	1.01x	4461272 → 4461249	168 → 168
IntegrateRK4	887.97 µs	880.62 µs	1.01x	3906104 → 3906102	24015 → 24015
SavitzkyGolay	331.05 µs	328.79 µs	1.01x	2099428 → 2099429	69 → 69
ArgSort1M	10.03 ms	10.07 ms	1.00x	42213251 → 42213264	266 → 266
Conv1D	166.71 µs	167.04 µs	1.00x	281028 → 280800	106 → 106
CovarianceMatrix	101.98 µs	102.44 µs	1.00x	136176 → 136176	23 → 23
IntegrateBackwardEuler	89.86 µs	89.96 µs	1.00x	352929 → 352929	2806 → 2806
KernelDensity	241.38 µs	241.85 µs	1.00x	4467 → 4462	69 → 69
LogisticRegression	235.50 µs	236.46 µs	1.00x	10656 → 10656	61 → 61
Exp100k	182.19 µs	183.11 µs	0.99x	805029 → 805029	69 → 69
MatMulTall512x64x2048	2.09 ms	2.10 ms	0.99x	8390997 → 8390963	69 → 69
SumAxis3DDim1	2.60 µs	2.62 µs	0.99x	2768 → 2768	4 → 4
WelchPSD	197.78 µs	198.78 µs	0.99x	28436 → 28603	75 → 75
Norm2D	54.87 µs	55.99 µs	0.98x	5432 → 5432	37 → 37
SumAxis2D	26.27 µs	26.80 µs	0.98x	5473 → 5473	37 → 37
CWTMorlet	768.00 µs	793.52 µs	0.97x	6427142 → 6427651	103 → 103
LinearRegression	63.01 µs	64.84 µs	0.97x	36152 → 36152	58 → 58
MinimiseDifferentialEvolution	164.09 µs	170.09 µs	0.96x	498250 → 498250	3845 → 3845
SVD128	17.36 ms	18.08 ms	0.96x	2182742 → 2181705	5070 → 5072
BackwardTwoLayer	82.50 µs	89.10 µs	0.93x	104759 → 104757	65 → 65
Cholesky256	736.43 µs	818.51 µs	0.90x	1583248 → 1583351	342 → 342
Solve256	1.79 ms	2.25 ms	0.80x	537635 → 537639	10 → 10

Summary

4 of 37 benchmarks sit above the noise band (faster), 3 below it (slower), 30 inside it.