RTX 4080 Super Pro vs RTX 3090 - GPU Benchmark Comparison

Direct performance comparison between the RTX 4080 Super Pro and RTX 3090 across 20 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4080 Super Pro winning 11 out of 20 benchmarks (55% win rate), while the RTX 3090 wins 9 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 4080 Super Pro roughly equal performance

In language model inference testing across 8 different models, the RTX 4080 Super Pro performs nearly identically to the RTX 3090, with less than 10% average difference. For llama3.1:8b-instruct-q8_0 inference, the RTX 4080 Super Pro reaches 82 tokens/s while the RTX 3090 achieves 96 tokens/s, making the RTX 4080 Super Pro noticeably slower with a 15% deficit. Overall, the RTX 4080 Super Pro wins 1 out of 8 LLM tests with an average 10% performance difference, making the RTX 3090 the better option for LLM inference tasks.

Image Generation Performance: RTX 4080 Super Pro 86% faster

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4080 Super Pro is 86% faster than the RTX 3090 in this category. When testing sd3.5-large, the RTX 4080 Super Pro completes generations at 24 s/image compared to RTX 3090's 71 s/image, making the RTX 4080 Super Pro substantially faster with a 200% advantage. Across all 12 image generation benchmarks, the RTX 4080 Super Pro wins 10 tests with an average 86% performance difference, establishing it as the preferred GPU for Stable Diffusion, SDXL, and Flux deployments.

About These Benchmarks of RTX 4080 Super Pro vs RTX 3090

Our benchmarks are collected automatically from servers having gpus of type RTX 4080 Super Pro and RTX 3090 in our fleet using standardized test suites:

LLM Inference (Ollama & VLLM): Measures tokens per second of RTX 4080 Super Pro compared to RTX 3090 for LLM inference using various models (Llama, Qwen, etc.) on both Ollama and VLLM with FP8 quantization
Image Generation: Measures images per minute and seconds per image for AI image generation on the RTX 4080 Super Pro compared to RTX 3090
CPU: Single-core and multi-core operations per second representing GPU Servers you can rent with RTX 4080 Super Pro or RTX 3090
NVMe: Read and write speeds in MB/s for storage performance on GPU Servers typically equipped with RTX 4080 Super Pro or RTX 3090

Note: RTX 4080 Super Pro and RTX 3090 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 3090.