AI GPU Benchmark Results
Every benchmark number in our database, with its source and evidence type. Filter by workload or evidence type; sort by any column. Independent benchmarks come from third-party reviews and standardized databases (MLPerf); community results are labeled reproducible when the run config is published, estimated when approximated.
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100 benchmark results
| GPU | Workload | Model / config | Result | Evidence | Source |
|---|---|---|---|---|---|
| GeForce RTX 4090 | Image generation | FLUX.1-dev · BF16 · Diffusers (Requires memory-efficient attention (xFormers/SDPA) within 24GB; approximate) | 4 img/min EST | Estimated0.40 | Spheron GPU Benchmark Blog |
| GeForce RTX 4090 | LLM inference (tokens/s) | Llama-3-70B · Q4 · llama.cpp (24GB VRAM, very tight, heavy swapping — editorial estimate pending article-level source verification) | 18 tok/s EST | Estimated0.40 | Tom's Hardware GPU Benchmarks 2025 |
| GeForce RTX 4090 | LLM inference (tokens/s) | Llama-3.1-8B · FP16 · vLLM (Batch-serving throughput, ~18GB VRAM used; published llama.cpp/vLLM benchmarks (approximate)) | 2,550 tok/s EST | Estimated0.40 | Spheron GPU Benchmark Blog |
How these numbers are sourced
Every row links to its original source and carries an evidence type plus a confidence score. Independent benchmarks come from third-party reviews (Tom's Hardware, TechPowerUp, Puget Systems) and standardized databases (MLPerf); manufacturer benchmarks are vendor-published figures; community results are reproducible when the run config is published, unverified otherwise — always labeled EST when estimated. Read the full benchmark methodology.
Compare any two GPUs head-to-head in the comparison tool, or browse value rankings.