diff --git "a/index.html" "b/index.html"
--- "a/index.html"
+++ "b/index.html"
@@ -496,7 +496,7 @@
         Each point is a public validation session: color = platform, shape = model family
         (● YOLOv5 · ■ YOLOv8 · ▲ YOLO11 · ◆ YOLO26). X axis is the <strong>realized</strong> sustained throughput on a log
         scale — the measured full image load → decode → preprocess → inference → postprocess pipeline, not bare
-        inference time and not the accelerator's theoretical ceiling. ⚠ flagged sessions are shown at their measured accuracy.
+        inference time and not the accelerator's core-throughput ceiling. ⚠ flagged sessions are shown at their measured accuracy.
       </p>
     </div>
 
@@ -516,13 +516,13 @@
     </div>
 
     <div class="section">
-      <div class="section-header"><h2>Realized Throughput vs Theoretical Ceiling</h2>
+      <div class="section-header"><h2>Realized Throughput vs Core-Throughput Ceiling</h2>
         <span class="section-note">how close the full pipeline gets to each accelerator's compute ceiling · measured by the <a href="https://doc.edgefirst.ai/latest/profiler/" target="_blank" rel="noopener" style="color:var(--teal-text)">EdgeFirst Profiler</a></span>
       </div>
       <div class="chart-host" style="height:420px"><canvas id="chart-theo-realized"></canvas></div>
       <p style="font-family:var(--serif);color:var(--text-muted);font-size:0.82rem;margin-top:0.5rem">
         Each point is one model × platform validation session: color = platform, shape = model family
-        (● YOLOv5 · ■ YOLOv8 · ▲ YOLO11 · ◆ YOLO26). X is the <strong>theoretical FPS</strong> — the accelerator's
+        (● YOLOv5 · ■ YOLOv8 · ▲ YOLO11 · ◆ YOLO26). X is the <strong>core-throughput ceiling (FPS)</strong> — the accelerator's
         compute ceiling (1000 ÷ isolated device-compute time); Y is the <strong>realized FPS</strong> actually delivered
         by the full validation pipeline. The dashed diagonal is parity (realized = ceiling): the closer a point sits to
         it, the less the host pipeline — JPEG decode and the validation-only 0.001 confidence threshold — costs on that
@@ -620,14 +620,14 @@
           <th>Platform</th>
           <th>Fastest model</th>
           <th data-sort="fps" style="text-align:right">Realized FPS</th>
-          <th data-sort="theo" style="text-align:right">Theoretical FPS</th>
+          <th data-sort="theo" style="text-align:right">Core Ceiling FPS</th>
           <th data-sort="e2e" style="text-align:right">E2E latency (ms)</th>
         </tr></thead>
         <tbody id="platform-fps-body"></tbody>
       </table>
       <p style="font-family:var(--serif);color:var(--text-muted);font-size:0.8rem;margin-top:0.75rem">
         <strong>Realized FPS</strong> is the measured steady-state throughput — stages overlap across frames, so it exceeds
-        1000 ÷ end-to-end latency. <strong>Theoretical FPS</strong> (~) is the
+        1000 ÷ end-to-end latency. <strong>Core-throughput ceiling (FPS)</strong> (~) is the
         accelerator's per-stage compute ceiling, approachable in production when the accelerator — not host JPEG decode or the
         validation-only 0.001 confidence threshold — is the bottleneck; see the ceiling chart on the Performance tab.
         Measured by the
@@ -645,7 +645,7 @@
         <div class="lb-filter" id="lb-metric">
           <button data-metric="map" class="active">Accuracy — mAP@0.5-0.95</button>
           <button data-metric="fps">Throughput — Realized FPS</button>
-          <button data-metric="theo">Throughput — Theoretical FPS</button>
+          <button data-metric="theo">Throughput — Core Ceiling FPS</button>
         </div>
       </div>
       <div class="leaderboard-grid" id="leaderboard-grid"></div>
@@ -673,8 +673,8 @@
   </footer>
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 <script>
 "use strict";
 
@@ -1046,7 +1046,7 @@ function leaderboardEntries(platformKey, metricKey) {
     const p = platformRowForSession(s);
     if (!p || p.key !== platformKey || !s.has_metrics) continue;
     const metric = metricKey === "fps" ? s.realized_fps
-      : metricKey === "theo" ? s.theoretical_fps
+      : metricKey === "theo" ? s.core_ceiling_fps
       : (s.det_map_50_95 ?? s.mask_map_50_95);
     if (metric == null) continue;
     const key = `${s.task_key}|${s.version_key}|${s.size}`;
@@ -1074,14 +1074,14 @@ function leaderboardEntries(platformKey, metricKey) {
 // Cross-platform throughput board: the top 20 fastest validated
 // model × platform results (accuracy intentionally not ranked here; smart
 // decoder preferred over logical duplicates). Rankable by realized FPS
-// (default), theoretical FPS, or E2E latency via the metric column headers.
+// (default), core-throughput ceiling FPS, or E2E latency via the metric column headers.
 let fpsBoardGroup = "all";
 let fpsBoardSort = "fps";
 
 // Rank accessors: fps/theo rank descending (higher is better), e2e ascending.
 const FPS_BOARD_SORTS = {
   fps:  { val: s => s.realized_fps,    dir: -1 },
-  theo: { val: s => s.theoretical_fps, dir: -1 },
+  theo: { val: s => s.core_ceiling_fps, dir: -1 },
   e2e:  { val: s => s.e2e_latency_ms,  dir:  1 },
 };
 
@@ -1119,7 +1119,7 @@ function renderPlatformThroughput() {
       <td><strong>${p.label}</strong> <span class="lb-sub">${p.detail}</span></td>
       <td><a href="${s.url}" target="_blank" rel="noopener"><span class="repo-name">${sessionModelName(s)}</span></a></td>
       <td class="num">${s.realized_fps.toFixed(0)}</td>
-      <td class="num">${s.theoretical_fps != null ? "~" + s.theoretical_fps.toFixed(0) : "—"}</td>
+      <td class="num">${s.core_ceiling_fps != null ? "~" + s.core_ceiling_fps.toFixed(0) : "—"}</td>
       <td class="num">${s.e2e_latency_ms != null ? s.e2e_latency_ms.toFixed(1) : "—"}</td>
     `;
     host.appendChild(tr);
@@ -1134,7 +1134,7 @@ function renderLeaderboard() {
   const metricLabel = lbMetric === "fps"
     ? "Pipelined throughput FPS (higher is better)"
     : lbMetric === "theo"
-    ? "Theoretical FPS — accelerator compute ceiling (higher is better)"
+    ? "Core-throughput ceiling FPS — accelerator compute ceiling (higher is better)"
     : "mAP@0.5-0.95 (higher is better)";
 
   for (const p of platforms) {
@@ -1375,7 +1375,7 @@ function chartDetLatency() {
   });
 }
 
-// Realized throughput vs the accelerator's theoretical ceiling — the parity
+// Realized throughput vs the accelerator's core-throughput ceiling — the parity
 // diagonal (realized = ceiling) shows how much the host pipeline costs on each
 // platform. Both tasks qualify (accuracy is not an axis here); the same smart
 // flavour + accuracy-floor filters as the summary charts keep broken configs
@@ -1384,7 +1384,7 @@ function chartTheoRealized() {
   const canvas = document.getElementById("chart-theo-realized");
   if (!canvas) return;
   const usable = (STUDIO?.sessions ?? []).filter(s =>
-    s.realized_fps > 0 && s.theoretical_fps > 0
+    s.realized_fps > 0 && s.core_ceiling_fps > 0
     && (s.det_map_50_95 ?? s.mask_map_50_95) != null
     && (s.det_map_50_95 ?? s.mask_map_50_95) >= CHART_MAP_FLOOR
     && isSummaryChartFlavour(s)
@@ -1403,7 +1403,7 @@ function chartTheoRealized() {
     return {
       label: `${p.label} ${p.detail.includes("CoreML") ? p.detail.replace("ONNX + ", "") : ""}`.trim(),
       data: pts.map(s => ({
-        x: s.theoretical_fps,
+        x: s.core_ceiling_fps,
         y: s.realized_fps,
         name: sessionModelName(s),
         flagged: isBelowExpectations(s),
@@ -1416,7 +1416,7 @@ function chartTheoRealized() {
   });
 
   // Parity diagonal y = x spanning the data range (recessive dashed reference).
-  const allVals = usable.flatMap(s => [s.theoretical_fps, s.realized_fps]);
+  const allVals = usable.flatMap(s => [s.core_ceiling_fps, s.realized_fps]);
   const lo = Math.min(...allVals) * 0.8;
   const hi = Math.max(...allVals) * 1.25;
   datasets.push({
@@ -1448,7 +1448,7 @@ function chartTheoRealized() {
       },
       scales: {
         x: { type: "logarithmic",
-             title: { display: true, text: "Theoretical FPS — accelerator compute ceiling (log scale)" },
+             title: { display: true, text: "Core-throughput ceiling FPS — accelerator compute ceiling (log scale)" },
              ticks: { font: { family: "monospace", size: 10 },
                       callback: (v) => ([1,2,5,10,20,50,100,200,500,1000,2000].includes(v) ? String(v) : null) } },
         y: { type: "logarithmic",
@@ -1657,7 +1657,7 @@ const STUDIO_SORT_ACCESSORS = {
   inf: s => s.avg_inference_ms,
   e2e: s => totalMs(s),
   fps: s => s.realized_fps,
-  theo: s => s.theoretical_fps,
+  theo: s => s.core_ceiling_fps,
 };
 
 let studioSortKey = null;
@@ -1738,7 +1738,7 @@ function renderStudioBody() {
       <td class="num">${fmtMs(s.avg_inference_ms)}</td>
       <td class="num">${total != null ? total.toFixed(1) : dashMuted}</td>
       <td class="num">${s.realized_fps != null ? s.realized_fps.toFixed(0) : dashMuted}</td>
-      <td class="num">${s.theoretical_fps != null ? "~" + s.theoretical_fps.toFixed(0) : dashMuted}</td>
+      <td class="num">${s.core_ceiling_fps != null ? "~" + s.core_ceiling_fps.toFixed(0) : dashMuted}</td>
       <td><a href="${s.url}" target="_blank" rel="noopener">↗</a></td>
     `;
     body.appendChild(tr);