RTX 5090 vs RTX Pro 6000 Blackwell - GPU Benchmark Comparison

Direct performance comparison between the RTX 5090 and RTX Pro 6000 Blackwell across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 5090 winning 12 out of 21 benchmarks (57% win rate), while the RTX Pro 6000 Blackwell wins 9 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 5090 11% faster

In language model inference testing across 9 different models, the RTX 5090 is 11% faster than the RTX Pro 6000 Blackwell on average. For nvidia/Llama-3.1-8B-Instruct-FP8 inference, the RTX 5090 reaches 68 tokens/s while the RTX Pro 6000 Blackwell achieves 82 tokens/s, making the RTX 5090 noticeably slower with a 18% deficit. Overall, the RTX 5090 wins 8 out of 9 LLM tests with an average 15% performance difference, making it the stronger choice for transformer model inference workloads.

Image Generation Performance: RTX 5090 32% slower

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 5090 is 32% slower than the RTX Pro 6000 Blackwell in this category. When testing sd3.5-large, the RTX 5090 completes generations at 12 s/image while the RTX Pro 6000 Blackwell achieves 8.4 s/image, making the RTX 5090 significantly slower with a 27% deficit. Across all 12 image generation benchmarks, the RTX 5090 wins 4 tests with an average 32% performance difference, making the RTX Pro 6000 Blackwell the better choice for Stable Diffusion, SDXL, and Flux workloads.

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