Benchmarking AI Image Generation Models: Performance Comparison Across 600+ Photo Edits
By
kalleboo
If you only eat one bagel today, this is the bagel.
Summary
LateNiteSoft, a company with 15 years of experience developing iOS photography apps, conducted extensive benchmarking of AI image generation models. They ran over 600 real-world image generations to compare OpenAI's GPT-Image-1, Google's NanoBanana, and Seedream models across various photo editing tasks. The analysis focused on practical metrics including latency, cost, and quality for different types of image edits, providing insights into which models perform best for specific use cases based on their extensive experience in the photography app space.
Key quotes
· 4 pulledWe've been making photo apps for iOS for long enough that we have gray hairs now, and using our experience we ran over 600 image generations to compare which AI models work best for which image edits.
We benchmarked OpenAI gpt-image-1, Google nanoBanana, and Seedream across 600+ real-world photo edits, see latency, cost, and quality by task.
We're LateNiteSoft, and we've been working on photography-related iOS apps for 15 years now.
Working on market-leading apps such as Camera+, Photon and REC, we've always had our finger on the pulse of mobile photography.
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