๐Ÿ“Š TimesFM 2.5 200M Benchmark Report

Generated: 2026-07-04T03:28:43.867Z ยท Git: e1c65b8d ยท AMD EPYC 9V74 80-Core Processor ร— 4

๐Ÿ’ป System

CPU

AMD EPYC 9V74 80-Core Processor ร— 4

RAM

15.6 GB

Platform

linux / x64

Node.js

v22.23.1

๐Ÿง  Model

Size

885 MB

Load Time

1.02s

ONNX Runtime

1.27.0

Cold/Warm Ratio

0.97ร—

โšก Inference Latency

ContextBatchPatchesAvg (ms)P50 (ms)P99 (ms)Throughput (seq/s)Cold Start (ms)
128 1 4 64.2 61.3 83.3 15.6 63.8
128 2 4 122.5 122.5 124.3 8.2 61.1
128 4 4 248.9 245.6 264.8 4 61.6
128 8 4 579.6 517.3 924 1.7 60.9
256 1 8 118.1 114.7 172.4 8.5 107.1
256 2 8 271.7 228.3 485.2 3.7 108.6
256 4 8 292.5 246.6 533.9 3.4 222.6
256 8 8 490.3 489.8 495.9 2 61.2
512 1 16 62.1 61.1 68.2 16.1 63.8
512 2 16 122.4 122 125.8 8.2 63.9
512 4 16 244.3 244.5 245.5 4.1 61
512 8 16 507.9 490.2 597.6 2 62.3

๐ŸŽฏ Prediction Accuracy

Full TimesFM pipeline with RevIN normalization, flip invariance, continuous quantile head

MetricValue
Naive MAE (no-change)87.7782
Constant Mean MAE60.6676
TimesFM MAE6.9042
TimesFM RMSE8.4396
Scaled MAE vs Naive0.0787 โœ… Better
Improvement vs Naive92.1%
Improvement vs Const Mean88.6%

๐Ÿ’พ Memory Footprint

MetricValue
RSS901 MB
Heap Used10 MB
Heap Total12.5 MB

๐Ÿ”ฌ Memory Stability (100 iters)

Baseline heap: 7.3 MB ยท Final Δ: -0.8% ยท โœ… Stable

IterationHeap (MB)Delta (MB)Delta %
1 7.3 0 0%
25 7.3 -0.06 -0.8%
50 7.4 +0.04 +0.5%
75 7.3 -0.01 -0.1%
100 7.3 -0.06 -0.8%

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