RTX A4000 vs RTX 5090 - GPU Benchmark Comparison

Direct performance comparison between the RTX A4000 and RTX 5090 across 14 standardized AI benchmarks collected from our production fleet. Testing shows the RTX A4000 winning 0 out of 14 benchmarks (0% win rate), while the RTX 5090 wins 14 tests. All 14 benchmark results are automatically gathered from active rental servers, providing real-world performance data rather than synthetic testing.

LLM Inference Performance: RTX A4000 69% slower

In language model inference testing across 4 different models, the RTX A4000 is 69% slower than the RTX 5090 on average. For llama3.1:8b inference, the RTX A4000 reaches 76 tokens/s while the RTX 5090 achieves 264 tokens/s, making the RTX A4000 substantially slower with a 71% deficit. Overall, the RTX A4000 wins 0 out of 4 LLM tests with an average 69% performance difference, making the RTX 5090 the better option for LLM inference tasks.

Image Generation Performance: RTX A4000 70% slower

Evaluating AI image generation across 10 different Stable Diffusion models, the RTX A4000 is 70% slower than the RTX 5090 in this category. When testing sd3.5-medium, the RTX A4000 completes generations at 34 s/image while the RTX 5090 achieves 4.5 s/image, making the RTX A4000 substantially slower with a 87% deficit. Across all 10 image generation benchmarks, the RTX A4000 wins 0 tests with an average 70% 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 A4000 vs RTX 5090

Our benchmarks are collected automatically from servers having gpus of type RTX A4000 and RTX 5090 in our fleet using standardized test suites:

Note: RTX A4000 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 A4000 and RTX 5090.

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