RTX 4080 Super Pro vs RTX 4070 Ti Super - Comparaison des benchmarks GPU

Comparaison directe des performances entre le RTX 4080 Super Pro et RTX 4070 Ti Super across 17 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4080 Super Pro winning 16 out of 17 benchmarks (94% win rate), while the RTX 4070 Ti Super wins 1 tests. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.

vLLM High-Throughput Inference: RTX 4080 Super Pro 130% faster

For production API servers and multi-agent AI systems running multiple concurrent requests, the RTX 4080 Super Pro is 130% faster than the RTX 4070 Ti Super (median across 2 benchmarks). For Qwen/Qwen3-4B, the RTX 4080 Super Pro achieves 553 tokens/s vs RTX 4070 Ti Super's 243 tokens/s (127% faster). The RTX 4080 Super Pro wins 2 out of 2 high-throughput tests, making it the stronger choice for production chatbots and batch processing.

Ollama Single-User Inference: RTX 4080 Super Pro 16% faster

For personal AI assistants and local development with one request at a time, the RTX 4080 Super Pro is 16% faster than the RTX 4070 Ti Super (median across 3 benchmarks). Running qwen3:8b, the RTX 4080 Super Pro generates 115 tokens/s vs RTX 4070 Ti Super's 99 tokens/s (16% faster). The RTX 4080 Super Pro wins 3 out of 3 single-user tests, making it ideal for personal coding assistants and prototyping.

Image Generation: RTX 4080 Super Pro 69% faster

For Stable Diffusion, SDXL, and Flux workloads, the RTX 4080 Super Pro is 69% faster than the RTX 4070 Ti Super (median across 8 benchmarks). Testing sd1.5, the RTX 4080 Super Pro completes at 62 images/min vs RTX 4070 Ti Super's 36 images/min (72% faster). The RTX 4080 Super Pro wins 8 out of 8 image generation tests, making it the preferred GPU for AI art and image generation.

À propos de ces benchmarks comparant la RTX 4080 Super Pro et la RTX 4070 Ti Super

Our benchmarks are collected automatically from servers having GPUs of type RTX 4080 Super Pro and RTX 4070 Ti Super in our fleet. Unlike synthetic lab tests, these results come from real production servers handling actual AI workloads - giving you transparent, real-world performance data.

Benchmarks d'inférence LLM

Nous testons les deux vLLM (Haut Débit) et Ollama (Utilisateur unique) frameworks. vLLM benchmarks show how RTX 4080 Super Pro and RTX 4070 Ti Super perform with 16-64 concurrent requests - perfect for production chatbots, multi-agent AI systems, and API servers. Ollama benchmarks measure single-request speed for personal AI assistants and local development. Models tested include Llama 3.1, Qwen3, DeepSeek-R1, and more.

Repères de performance de la génération d'images

Image generation benchmarks cover Flux, SDXL, and SD3.5 architectures. That's critical for AI art generation, design prototyping, and creative applications. Focus on single prompt generation speed to understand how RTX 4080 Super Pro and RTX 4070 Ti Super handle your image workloads.

Performance du système

Nous incluons également la puissance de calcul du CPU (affectant la tokenisation et le prétraitement) et les vitesses de stockage NVMe (essentielles pour le chargement de modèles et d'ensembles de données volumineux) - l'ensemble complet pour vos charges de travail d'IA.

Remarque : les résultats peuvent varier en fonction de la charge du système et de la configuration. Ces benchmarks représentent des valeurs médianes issues de plusieurs exécutions de tests.