RTX 3090 vs RTX 5090 - GPU Benchmark Comparison

Direct performance comparison between the RTX 3090 and RTX 5090 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 3090 winning 0 out of 20 benchmarks (0% win rate), while the RTX 5090 wins 20 tests. All 20 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: RTX 3090 41% slower

In language model inference testing across 8 different models, the RTX 3090 is 41% slower than the RTX 5090 on average. For llama3.1:8b-instruct-q8_0 inference, the RTX 3090 reaches 96 tokens/s while the RTX 5090 achieves 175 tokens/s, making the RTX 3090 substantially slower with a 45% deficit. Overall, the RTX 3090 wins 0 out of 8 LLM tests with an average 41% performance difference, making the RTX 5090 the better option for LLM inference tasks.

Image Generation Performance: RTX 3090 54% slower

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 3090 is 54% slower than the RTX 5090 in this category. When testing sd3.5-large, the RTX 3090 completes generations at 71 s/image while the RTX 5090 achieves 12 s/image, making the RTX 3090 substantially slower with a 84% deficit. Across all 12 image generation benchmarks, the RTX 3090 wins 0 tests with an average 54% performance difference, making the RTX 5090 the better choice for Stable Diffusion, SDXL, and Flux workloads.

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About These Benchmarks of RTX 3090 vs RTX 5090

Our benchmarks are collected automatically from servers having gpus of type RTX 3090 and RTX 5090 in our fleet using standardized test suites:

Note: RTX 3090 and RTX 5090 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 3090 and RTX 5090.

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