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Community benchmarks

Gemma 3 1B IT

Submitted benchmarks for Gemma 3 1B IT. Browse individual runs and their measurement settings, or open the report JSON for full benchmark details.

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Submitted runs: 27
Chips tested: 7
Contributors: 3

Model identity

Grouped as google/gemma-3-1b-it. The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution. · Nothing in this report ties it to a published model file. Reports from CLI 0.1.0 record only a model name and a file hash, so the run is grouped by the name it reported until it is reconciled.. Artifact verification confirms published model bytes, not that a community-submitted benchmark was honestly executed. Hover or tap a label for what it means.

This model group collects runs reported as basecompute/gemma-3-1b-it, gemma-3-1b-it-cuda-q4mix, gemma-3-1b-it-cuda-q8, gemma-3-1b-it-Q4, gemma-3-1b-it-Q8. Individual results keep the package name and format they were submitted with.

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Published files benchmarked

basecompute/gemma-3-1b-it/gemma-3-1b-it-Q4.base (opens in a new tab)BaseRTQ4· 14 runs
basecompute/gemma-3-1b-it/gemma-3-1b-it-Q8.base (opens in a new tab)BaseRTQ8· 9 runs

Benchmark results

Peak throughput is the highest reported value and may come from different runs. Compare model, quantisation, backend, and token counts before drawing conclusions. Model verification identifies published artifact bytes; community benchmark execution is not remotely attested.

Individual runs for Gemma 3 1B IT. Throughput is in tokens per second; dates use your browser timezone. Hover a date for the exact local time.
Model / runtime / format	Chip / backend	Decode	Prefill	Peak process memory	Contributor

basecompute/gemma-3-1b-it BaseRTQ8· default-q8 The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution.	Apple M5 Pro Metal	210.3 tok/s TG128	15,061 tok/s PP512	1,365.4 MiB	arki05	11 Sep 2026	View Benchmark
basecompute/gemma-3-1b-it BaseRTQ4· default-q4 The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution.	Apple M5 Pro Metal	293.1 tok/s TG128	15,066 tok/s PP512	939.4 MiB	arki05	11 Sep 2026	View Benchmark