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SLQS001-GPUSiliq datasheet

GPU table

Median sustained score for each GPU model on each of the 5 instruments. A median shows after three verified runs on that instrument.

GPU models with a median verified run

How to read a median

A score is the sustained rate the tab held for the whole run, capped at the ceiling for its vendor family. Before launch, trial and genesis runs count toward a median. After launch, only paid runs do.

The same numbers come from /api/gpus. Every row behind them is in /api/dataset.

InstrumentUnitWorkload
SLQ-01 computeTFteraflops per secondchained fused multiply-add over a million vec4 lanes
SLQ-02 memoryGB/Sgigabytes per secondstreaming upload, GPU copy and strided readback through 256 MB
SLQ-03 renderMP/Smegapaths per secondpath tracer, 4 bounces, seeded sphere field over a ground plane
SLQ-04 matrixTFteraflops per secondtiled SGEMM with workgroup memory, 1024 x 1024
SLQ-05 inferenceTFteraflops per secondtransformer forward pass, 12 layers, 128 tokens, GPT-2 small shape