{
  "claim": "The ~7× is the SAM 3.1 release against the November 2025 SAM 3 release at 128 tracked objects. Against a SAM 3 carrying the same inference optimisations — the line the paper compares — Object Multiplex is worth 5.2×. At one object it is a 7% regression.",
  "method": "Read off the printed data labels on Meta's own three-line FPS figure (assets/sam3.1_efficiency.png in facebookresearch/sam3, the release version of paper Figure 31). Ratios computed from those labels; bucket count is ceil(N/16) with the shipped default multiplex_count=16.",
  "source": "https://github.com/facebookresearch/sam3/blob/main/RELEASE_SAM3p1.md",
  "captured": "2026-09-19",
  "note": "FPS on a single H100. Meta's footnote to Figure 31 states both SAM 3 and SAM 3 Multiplex are measured with optimised internal implementations; the third line ('SAM 3 (Nov 2025 Release)') is the unoptimised public baseline. The 7.2× and 3.1× callouts on the figure are Meta's own.",
  "columns": [
    {
      "key": "n",
      "label": "objects",
      "align": "right",
      "mono": true
    },
    {
      "key": "buckets",
      "label": "buckets",
      "align": "right",
      "mono": true
    },
    {
      "key": "nov",
      "label": "SAM 3 Nov 2025 fps",
      "align": "right",
      "mono": true
    },
    {
      "key": "opt",
      "label": "SAM 3 + opt fps",
      "align": "right",
      "mono": true
    },
    {
      "key": "mux",
      "label": "SAM 3.1 fps",
      "align": "right",
      "mono": true
    },
    {
      "key": "vsnov",
      "label": "× vs Nov 2025",
      "align": "right",
      "mono": true
    },
    {
      "key": "vsopt",
      "label": "× vs SAM 3 + opt",
      "align": "right",
      "mono": true
    }
  ],
  "rows": [
    {
      "n": "1",
      "buckets": "1",
      "nov": "26.5",
      "opt": "36.4",
      "mux": "33.8",
      "vsnov": "1.28×",
      "vsopt": "0.93×"
    },
    {
      "n": "2",
      "buckets": "1",
      "nov": "23.8",
      "opt": "32.0",
      "mux": "33.3",
      "vsnov": "1.40×",
      "vsopt": "1.04×"
    },
    {
      "n": "4",
      "buckets": "1",
      "nov": "19.7",
      "opt": "31.5",
      "mux": "32.5",
      "vsnov": "1.65×",
      "vsopt": "1.03×"
    },
    {
      "n": "8",
      "buckets": "1",
      "nov": "14.6",
      "opt": "19.2",
      "mux": "31.6",
      "vsnov": "2.16×",
      "vsopt": "1.65×"
    },
    {
      "n": "16",
      "buckets": "1",
      "nov": "9.8",
      "opt": "12.2",
      "mux": "30.2",
      "vsnov": "3.08×",
      "vsopt": "2.48×"
    },
    {
      "n": "32",
      "buckets": "2",
      "nov": "5.8",
      "opt": "7.0",
      "mux": "22.1",
      "vsnov": "3.81×",
      "vsopt": "3.16×"
    },
    {
      "n": "64",
      "buckets": "4",
      "nov": "3.0",
      "opt": "3.8",
      "mux": "15.1",
      "vsnov": "5.03×",
      "vsopt": "3.97×"
    },
    {
      "n": "128",
      "buckets": "8",
      "nov": "1.6",
      "opt": "2.2",
      "mux": "11.5",
      "vsnov": "7.19×",
      "vsopt": "5.23×"
    }
  ]
}