RTX 4090 Pro vs RTX 4080 Super Pro - GPU Benchmark Comparison

Direct performance comparison between the RTX 4090 Pro and RTX 4080 Super Pro across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4090 Pro winning 17 out of 21 benchmarks (81% win rate), while the RTX 4080 Super Pro wins 4 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 Pro 28% faster

In language model inference testing across 9 different models, the RTX 4090 Pro is 28% faster than the RTX 4080 Super Pro on average. For qwen3:32b inference, the RTX 4090 Pro achieves 43 tokens/s compared to RTX 4080 Super Pro's 32 tokens/s, making the RTX 4090 Pro significantly faster with a 33% advantage. Overall, the RTX 4090 Pro 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 Pro 148% faster

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4090 Pro is 148% faster than the RTX 4080 Super Pro in this category. When testing sd3.5-large, the RTX 4090 Pro completes generations at 3.8 images/min compared to RTX 4080 Super Pro's 2.5 images/min, making the RTX 4090 Pro substantially faster with a 52% advantage. Across all 12 image generation benchmarks, the RTX 4090 Pro wins 8 tests with an average 148% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.

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