RTX 4090 vs RTX 4080 Super Pro - GPU Benchmark Comparison

Direct performance comparison between the RTX 4090 and RTX 4080 Super Pro across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 winning 15 out of 21 benchmarks (71% win rate), while the RTX 4080 Super Pro wins 6 tests. All 21 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: RTX 4090 28% faster

In language model inference testing across 9 different models, the RTX 4090 is 28% faster than the RTX 4080 Super Pro on average. For llama3.1:8b-instruct-q8_0 inference, the RTX 4090 achieves 108 tokens/s compared to RTX 4080 Super Pro's 82 tokens/s, making the RTX 4090 significantly faster with a 32% advantage. Overall, the RTX 4090 wins 9 out of 9 LLM tests with an average 28% performance difference, making it the stronger choice for transformer model inference workloads.

Image Generation Performance: RTX 4090 roughly equal performance

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4090 performs nearly identically to the RTX 4080 Super Pro, with less than 10% average difference. When testing sd3.5-medium, the RTX 4090 completes generations at 26 s/image while the RTX 4080 Super Pro achieves 9.1 s/image, making the RTX 4090 substantially slower with a 65% deficit. Across all 12 image generation benchmarks, the RTX 4090 wins 6 tests with an average 39% performance difference, showing both GPUs are equally suitable for Stable Diffusion, SDXL, and Flux deployments.

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