Direct performance comparison between the RTX 4070 Ti Super and V100 across 18 standardized AI benchmarks collected from our production fleet. Testing shows the RTX 4070 Ti Super winning 5 out of 18 benchmarks (28% win rate), while the V100 wins 13 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, both the RTX 4070 Ti Super and V100 perform nearly identically across 1 vLLM benchmarks. For Qwen/Qwen3-4B, the RTX 4070 Ti Super achieves 242 tokens/s vs V100's 230 tokens/s (5% faster). The RTX 4070 Ti Super wins 1 out of 1 high-throughput tests, making it the stronger choice for production chatbots and batch processing.
For personal AI assistants and local development with one request at a time, both the RTX 4070 Ti Super and V100 deliver nearly identical response times across 3 Ollama benchmarks. Running gpt-oss:20b, the RTX 4070 Ti Super generates 120 tokens/s vs V100's 113 tokens/s (6% faster). The RTX 4070 Ti Super wins 2 out of 3 single-user tests, making it ideal for personal coding assistants and prototyping.
For Stable Diffusion, SDXL, and Flux workloads, both the RTX 4070 Ti Super and V100 perform nearly identically across 10 benchmarks. Testing sd3.5-large, the RTX 4070 Ti Super completes at 0.37 images/min while V100 achieves 0.50 images/min (26% slower). The RTX 4070 Ti Super wins 2 out of 10 image generation tests, making the V100 the better choice for Stable Diffusion workloads.
For high-concurrency vision workloads (16-64 parallel requests), both the RTX 4070 Ti Super and V100 deliver nearly identical throughput across 2 benchmarks. Testing trocr-base, the RTX 4070 Ti Super processes 818 pages/min vs V100's 655 pages/min (25% faster). The RTX 4070 Ti Super wins 1 out of 2 vision tests, showing both GPUs handle production vision workloads equally well.
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Our benchmarks are collected automatically from servers having GPUs of type RTX 4070 Ti Super and V100 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.
We test both vLLM (High-Throughput) and Ollama (Single-User) frameworks. vLLM benchmarks show how RTX 4070 Ti Super and V100 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 V100 handle your image workloads.
Vision benchmarks test multimodal and document processing with high concurrent load (16-64 parallel requests) using real-world test data. LLaVA 1.5 7B (7B parameter Vision-Language Model) analyzes a photograph of an elderly woman in a flower field with a golden retriever, testing scene understanding and visual reasoning at batch size 32 to report images per minute. TrOCR-base (334M parameter OCR model) processes 2,750 pages of Shakespeare's Hamlet scanned from historical books with period typography at batch size 16, measuring pages per minute for document digitization. See how RTX 4070 Ti Super and V100 handle production-scale visual AI workloads - critical for content moderation, document processing, and automated image analysis.
We also include CPU compute power (affecting tokenization and preprocessing) and NVMe storage speeds (critical for loading large models and datasets) - the complete picture for your AI workloads.
The TAIFlops (Trooper AI FLOPS) score shown in the first row combines all AI benchmark results into a single number. Using the RTX 3090 as baseline (100 TAIFlops), this score instantly tells you how RTX 4070 Ti Super and V100 compare overall for AI workloads. Learn more about TAIFlops →
Note: Results may vary based on system load and configuration. These benchmarks represent median values from multiple test runs.
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