Direct performance comparison between the RTX 4080 Super Pro and RTX 4090 across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4080 Super Pro winning 6 out of 21 benchmarks (29% win rate), while the RTX 4090 wins 15 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 4080 Super Pro is 21% slower than the RTX 4090 on average. For llama3.1:8b-instruct-q8_0 inference, the RTX 4080 Super Pro reaches 82 tokens/s while the RTX 4090 achieves 108 tokens/s, making the RTX 4080 Super Pro significantly slower with a 24% deficit. Overall, the RTX 4080 Super Pro wins 0 out of 9 LLM tests with an average 21% performance difference, making the RTX 4090 the better option for LLM inference tasks.
Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4080 Super Pro is 58% faster than the RTX 4090 in this category. When testing sd3.5-large, the RTX 4080 Super Pro completes generations at 24 s/image compared to RTX 4090's 53 s/image, making the RTX 4080 Super Pro substantially faster with a 124% advantage. Across all 12 image generation benchmarks, the RTX 4080 Super Pro wins 6 tests with an average 58% performance difference, showing both GPUs are equally suitable for Stable Diffusion, SDXL, and Flux deployments.
Order a GPU Server with RTX 4080 Super Pro All GPU Server Benchmarks
Loading benchmark data...
Our benchmarks are collected automatically from servers having gpus of type RTX 4080 Super Pro and RTX 4090 in our fleet using standardized test suites:
Note: RTX 4080 Super Pro and RTX 4090 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 4080 Super Pro and RTX 4090.
Order a GPU Server with RTX 4080 Super Pro Order a GPU Server with RTX 4090 View All Benchmarks