Why SAM 2 Runs 3x Slower Than SAM in Production
SAM 2 promised to be the next-generation segmentation model, but in production it runs roughly 3x slower than the original SAM on single-image workloads. Not because of the model architecture itself — but because of how the inference pipeline is designed.
The original SAM processes a single image in about 180ms on an RTX 3090 (1024×1024 input). SAM 2 takes 520-580ms for the same task. That's not a marginal difference. When you're running segmentation on video frames or batch-processing medical images, that gap compounds fast.
Here's the thing: SAM 2 wasn't built for single-image inference. It was optimized for video, where temporal consistency matters. But most production use cases — document scanning, industrial inspection, satellite imagery — are still image-based. And the architectural decisions that make SAM 2 great for video make it painfully slow for images.
The Memory Bank: Why SAM 2 Keeps State You Don't Need
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