Time Series Forecasting Efficiency on Exchange
0.21Inference TimeDLinear
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DLinearInput length=96, Prediction length=96, Batch size=16, Number of layers=1, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 0.21 | 0.02 | 0.15 | 1.47 | 0.02 | 0.01 | |
| FreTSInput length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 0.48 | 0.42 | 3.36 | 3.51 | 0.03 | 0.02 | |
| OLinearInput length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 1.18 | 1.74 | 16.27 | 7.33 | 0.17 | 0.02 | |
| vLinearInput length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 1.36 | 1.03 | 10.6 | 6.92 | 0.16 | 0.14 | |
| iTrans.Input length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 1.7 | 4.83 | 38.88 | 10.14 | 0.21 | 0.16 | |
| SCPBase model=RNN, Learning Category=Non-learning2025.10 | 2 | — | — | — | — | — | |
| NexCPBase model=RNN, Learning Category=Non-learning2025.10 | 2 | — | — | — | — | — | |
| PatchTSTInput length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 2.47 | 3.76 | 311.08 | 9.75 | 0.15 | 0.05 | |
| LeddamInput length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 2.62 | 8.56 | 127.49 | 24.81 | 0.18 | 0.05 | |
| TimeMix.Input length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 3.81 | 0.08 | 12.25 | 27.46 | 0.06 | 0.02 | |
| CARDInput length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 6.02 | 1.39 | 114.83 | 35.57 | 0.17 | 0.03 | |
| RESCPBase model=RNN, Learning Category=Non-learning2025.10 | 6.5 | — | — | — | — | — | |
| Fredf.m.Input length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 6.86 | 8.59 | 135.01 | 28.56 | 0.24 | 0.08 | |
| RESCQRBase model=RNN, Learning Category=Learning2025.10 | 16 | — | — | — | — | — | |
| TimeMix.++Input length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 28.46 | 1.19 | 1,595.72 | 97.05 | 0.28 | 0.15 | |
| CP-QRNNBase model=RNN, Learning Category=Learning2025.10 | 36.9 | — | — | — | — | — | |
| SPCIBase model=RNN, Learning Category=Learning2025.10 | 50.6 | — | — | — | — | — | |
| TimesNetInput length=96, Prediction length=96, Batch size=16, Number of layers=2, FLOPs Unit=M, T.T. Unit=ms/iter, I.M. Unit=GB2026.01 | 156.33 | 299.94 | 287,909 | 505.39 | 5.8 | 1.4 | |
| HopCPTBase model=RNN, Learning Category=Learning2025.10 | 318 | — | — | — | — | — |