RTX 4070 Ti Super vs RTX 4090 Pro - GPU Benchmark Comparison

Directe prestatievergelijking tussen de RTX 4070 Ti Super en RTX 4090 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 4090 Pro wins 16 tests. All benchmark results are automatically gathered from active rental servers, providing real-world performance data.

vLLM High-Throughput Inference: RTX 4070 Ti Super 82% slower

For production API servers and multi-agent AI systems running multiple concurrent requests, the RTX 4070 Ti Super is 82% slower than the RTX 4090 Pro (median across 2 benchmarks). For nvidia/Llama-3.1-8B-Instruct-FP8, the RTX 4070 Ti Super reaches 230 tokens/s while RTX 4090 Pro achieves 1243 tokens/s (82% slower). The RTX 4070 Ti Super wins none out of 2 high-throughput tests, making the RTX 4090 Pro better suited for production API workloads.

Ollama Single-User Inference: RTX 4070 Ti Super 32% slower

For personal AI assistants and local development with one request at a time, the RTX 4070 Ti Super is 32% slower than the RTX 4090 Pro (median across 3 benchmarks). Running gpt-oss:20b, the RTX 4070 Ti Super generates 120 tokens/s while RTX 4090 Pro achieves 177 tokens/s (32% slower). The RTX 4070 Ti Super wins none out of 3 single-user tests, making the RTX 4090 Pro the better choice for local AI development.

Afbeeldingsgeneratie: RTX 4070 Ti Super 45% trager

For Stable Diffusion, SDXL, and Flux workloads, the RTX 4070 Ti Super is 45% slower than the RTX 4090 Pro (median across 8 benchmarks). Testing sd1.5, the RTX 4070 Ti Super completes at 1.7 s/image while RTX 4090 Pro achieves 0.90 s/image (47% slower). The RTX 4070 Ti Super wins none out of 8 image generation tests, making the RTX 4090 Pro the better choice for Stable Diffusion workloads.

About These Benchmarks of RTX 4070 Ti Super vs RTX 4090 Pro

Our benchmarks are collected automatically from servers having GPUs of type RTX 4070 Ti Super and RTX 4090 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.

LLM Inferentie Benchmarks

We testen beide vLLM (Hoge Doorvoer) en Ollama (Single-User) frameworks. vLLM benchmarks show how RTX 4070 Ti Super and RTX 4090 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.

Benchmarks voor beeldgeneratie

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 4090 Pro handle your image workloads.

Systeemprestaties

We nemen ook CPU-rekenkracht (van invloed op tokenisatie en voorbewerking) en NVMe-opslagsnelheden (cruciaal voor het laden van grote modellen en datasets) mee - het complete beeld voor uw AI-workloads.

Let op: de resultaten kunnen variëren afhankelijk van de systeem belasting en configuratie. Deze benchmarks vertegenwoordigen mediaanwaarden uit meerdere testruns.