Direkter Leistungsvergleich zwischen RTX 4070 Ti Super und RTX 4080 Super Pro across 17 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4070 Ti Super winning 1 out of 17 benchmarks (6% win rate), while the RTX 4080 Super Pro wins 16 tests. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.
For production API servers and multi-agent AI systems running multiple concurrent requests, the RTX 4070 Ti Super is 57% slower than the RTX 4080 Super Pro (median across 2 benchmarks). For Qwen/Qwen3-4B, the RTX 4070 Ti Super reaches 243 tokens/s while RTX 4080 Super Pro achieves 553 tokens/s (56% slower). The RTX 4070 Ti Super wins none out of 2 high-throughput tests, making the RTX 4080 Super Pro better suited for production API workloads.
For personal AI assistants and local development with one request at a time, the RTX 4070 Ti Super is 14% slower than the RTX 4080 Super Pro (median across 3 benchmarks). Running qwen3:8b, the RTX 4070 Ti Super generates 99 tokens/s while RTX 4080 Super Pro achieves 115 tokens/s (14% slower). The RTX 4070 Ti Super wins none out of 3 single-user tests, making the RTX 4080 Super Pro the better choice for local AI development.
For Stable Diffusion, SDXL, and Flux workloads, the RTX 4070 Ti Super is 41% slower than the RTX 4080 Super Pro (median across 8 benchmarks). Testing sd1.5, the RTX 4070 Ti Super completes at 36 images/min while RTX 4080 Super Pro achieves 62 images/min (42% slower). The RTX 4070 Ti Super wins none out of 8 image generation tests, making the RTX 4080 Super Pro the better choice for Stable Diffusion workloads.
GPU-Server mit RTX 4070 Ti Super bestellen Alle GPU-Server-Benchmarks
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Our benchmarks are collected automatically from servers having GPUs of type RTX 4070 Ti Super and RTX 4080 Super Pro 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.
Wir testen beides. vLLM (Hoher Durchsatz) und Ollama (Einzelbenutzer) frameworks. vLLM benchmarks show how RTX 4070 Ti Super and RTX 4080 Super Pro 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.
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 4070 Ti Super and RTX 4080 Super Pro handle your image workloads.
Wir berücksichtigen auch die CPU-Rechenleistung (die Tokenisierung und Vorverarbeitung beeinflusst) und die NVMe-Speichergeschwindigkeiten (die für das Laden großer Modelle und Datensätze entscheidend sind) – das vollständige Bild für Ihre KI-Workloads.
Hinweis: Die Ergebnisse können je nach Systemlast und -konfiguration variieren. Diese Benchmarks stellen Medianwerte aus mehreren Testläufen dar.
GPU-Server mit RTX 4070 Ti Super bestellen Bestellen Sie einen GPU-Server mit RTX 4080 Super Pro Alle Benchmarks anzeigen