Direct performance comparison between the RTX 5090 and RTX 4080 Super Pro across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 5090 winning 20 out of 21 benchmarks (95% win rate), while the RTX 4080 Super Pro wins 1 tests. All 21 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.
In language model inference testing across 9 different models, the RTX 5090 is 75% faster than the RTX 4080 Super Pro on average. For deepseek-r1:32b inference, the RTX 5090 achieves 71 tokens/s compared to RTX 4080 Super Pro's 34 tokens/s, making the RTX 5090 substantially faster with a 111% advantage. Overall, the RTX 5090 wins 8 out of 9 LLM tests with an average 76% performance difference, making it the stronger choice for transformer model inference workloads.
Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 5090 is 65% faster than the RTX 4080 Super Pro in this category. When testing sd3.5-medium, the RTX 5090 completes generations at 4.5 s/image compared to RTX 4080 Super Pro's 9.1 s/image, making the RTX 5090 substantially faster with a 103% advantage. Across all 12 image generation benchmarks, the RTX 5090 wins 12 tests with an average 65% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.
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Our benchmarks are collected automatically from servers having gpus of type RTX 5090 and RTX 4080 Super Pro in our fleet using standardized test suites:
Note: RTX 5090 and RTX 4080 Super Pro AI Benchmark Results may vary based on system load, configuration, and specific hardware revisions. These benchmarks represent median values from multiple test runs of RTX 5090 and RTX 4080 Super Pro.
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