RTX 4080 Super Pro vs RTX 4090 Pro - GPU Benchmark Comparison

Direct performance comparison between the RTX 4080 Super Pro and RTX 4090 Pro across 21 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4080 Super Pro winning 4 out of 21 benchmarks (19% win rate), while the RTX 4090 Pro wins 17 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 4080 Super Pro 21% slower

In language model inference testing across 9 different models, the RTX 4080 Super Pro is 21% slower than the RTX 4090 Pro on average. For qwen3:32b inference, the RTX 4080 Super Pro reaches 32 tokens/s while the RTX 4090 Pro achieves 43 tokens/s, making the RTX 4080 Super Pro significantly slower with a 25% deficit. Overall, the RTX 4080 Super Pro wins 0 out of 9 LLM tests with an average 21% performance difference, making the RTX 4090 Pro the better option for LLM inference tasks.

Image Generation Performance: RTX 4080 Super Pro 32% slower

Evaluating AI image generation across 12 different Stable Diffusion models, the RTX 4080 Super Pro is 32% slower than the RTX 4090 Pro in this category. When testing sd3.5-large, the RTX 4080 Super Pro completes generations at 2.5 images/min while the RTX 4090 Pro achieves 3.8 images/min, making the RTX 4080 Super Pro significantly slower with a 34% deficit. Across all 12 image generation benchmarks, the RTX 4080 Super Pro wins 4 tests with an average 32% performance difference, making the RTX 4090 Pro the better choice for Stable Diffusion, SDXL, and Flux workloads.

About These Benchmarks of RTX 4080 Super Pro vs RTX 4090 Pro

Our benchmarks are collected automatically from servers having gpus of type RTX 4080 Super Pro and RTX 4090 Pro in our fleet using standardized test suites:

LLM Inference (Ollama & VLLM): Measures tokens per second of RTX 4080 Super Pro compared to RTX 4090 Pro 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 4090 Pro
CPU: Single-core and multi-core operations per second representing GPU Servers you can rent with RTX 4080 Super Pro or RTX 4090 Pro
NVMe: Read and write speeds in MB/s for storage performance on GPU Servers typically equipped with RTX 4080 Super Pro or RTX 4090 Pro

Note: RTX 4080 Super Pro and RTX 4090 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 4080 Super Pro and RTX 4090 Pro.