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// 45d agoBENCHMARK RESULT
Gemma 4 Benchmark Splits Prefill, Decode
A Reddit user compared a GTX 1660 Ti and an AMD 890M iGPU running Gemma 4 in LM Studio on the same huge 130k-token document. The AMD iGPU reportedly delivered 4-5x faster prefill, while the 1660 Ti still produced tokens faster during generation, which suggests performance claims about AMD need to be split between prompt processing and decode speed rather than treated as one number.
// ANALYSIS
Hot take: this is a good reminder that "GPU speed" for local LLMs is not one metric, and AMD can look much better on prefill-heavy workloads than the usual internet discourse suggests.
- –The comparison is interesting because it keeps model family and quantization roughly aligned across both systems.
- –Prefill is where the AMD 890M iGPU reportedly shines, which matters a lot for long-context prompts and document-heavy workflows.
- –Decode still favors the 1660 Ti in this post, so token-generation throughput remains a separate strength.
- –Because this is a Reddit anecdote, it is useful as a signal, not a universal benchmark.
- –The bigger takeaway is that workload shape matters: long prompts, cache behavior, and memory bandwidth can completely change the winner.
// TAGS
amdnvidiagemma-4local-llmlm-studioprefilldecodeigpubenchmarkinference
DISCOVERED
45d ago
2026-04-27
PUBLISHED
45d ago
2026-04-27
RELEVANCE
7/ 10
AUTHOR
General-Cookie6794