LynxBenchAI Training Leaderboard

AI hardware re-ranked by training-category score — the throughput profile that matters when the workload is model training rather than inference or raw compute. GT and the other two category scores stay visible for context. Provisional results — not the final, official release.

# Device Accelerator / GPU GT Global Score Training Category Inference Category Compute Category Platform OS
1
1264.11
1065.97
2203.38
585.14
Native Linux
2
1218.26
1057.55
2085.33
551.76
Native Linux
3
1013.59
798.77
1899.59
464.68
Native Linux
4
913.53
700.38
1659.36
471.03
Native Linux
5
702.50
583.16
1177.35
362.95
Native Linux
6
585.52
511.71
969.64
279.54
Native Linux
7
431.56
411.48
652.75
207.50
Native Linux
8
396.50
383.74
578.03
199.17
Native Linux
9
441.85
332.78
648.22
361.93
Native Linux
10
390.19
314.88
518.49
339.34
Native Linux
11
199.21
206.19
290.74
87.31
Native Linux
12
157.47
162.69
237.65
64.77
Native Linux
13
156.12
156.52
228.56
72.46
WSL
14
142.76
132.41
234.64
61.42
Native Linux
15
73.67
60.47
99.69
59.72
WSL
16
73.58
36.99
119.43
110.65
Native Linux
17
4.90
8.63
2.42
6.48
Native Linux
18
5.87
8.47
4.88
4.07
WSL
19
8.02
6.65
9.15
8.95
Native Linux
20
0.43
0.31
0.00
3.83
WSL

The Personal Edition submits your benchmark results to TechnoLynx's servers as part of participating in the public leaderboard. If that isn't acceptable for your use case, contact TechnoLynx about Press, Pro, or Enterprise licenses.

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Provisional results — not the final, official release · ranked by training-category score, higher is better. GT (Global Score) is LynxBenchAI's overall crown; this view answers "which hardware leads specifically on training," not "which hardware wins overall." Bars are scaled to each column's own leader, not a shared ceiling -- compare bars down a column, not across.