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<title>RLX vision bench — browser</title>
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:root {
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--webgpu: #059669;
--webgl: #d97706;
--sps: #7c3aed;
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.controls { display: flex; flex-wrap: wrap; align-items: end; gap: 0.35rem 0.75rem; }
</style>
</head>
<body>
<nav>
<a href="./index.html">MLP demo</a>
<a href="./vision-bench.html"><b>Vision bench</b></a>
</nav>
<h1>RLX vision benchmark (browser)</h1>
<p>Classification models on CPU, WebGPU, and WebGL2. Live charts track loss and
throughput while training. WebGL trains only the MLP (conv backward not
available yet).</p>
<div id="status">loading…</div>
<p>Preferred backend: <code id="pref">—</code> · GPU features: <code id="gpu-feat">—</code></p>
<div class="controls">
<label>
Model
<select id="model"></select>
</label>
<label>
Steps
<input id="steps" type="number" value="40" min="1" max="500" />
</label>
<label>
Train backends
<select id="train-backends">
<option value="all">CPU + WebGPU + WebGL</option>
<option value="cpu-gpu">CPU + WebGPU</option>
<option value="cpu">CPU only</option>
</select>
</label>
<button id="run">Run benchmark</button>
</div>
<div id="progress-panel" hidden>
<div class="phase" id="phase">—</div>
<div class="bar"><i id="bar"></i></div>
<div class="meta" id="progress-meta">—</div>
<div class="charts">
<div class="chart-card">
<h3>Training loss</h3>
<canvas id="loss-chart" width="640" height="180"></canvas>
<div class="legend">
<span class="cpu">CPU</span>
<span class="webgpu">WebGPU</span>
<span class="webgl">WebGL</span>
</div>
</div>
<div class="chart-card">
<h3>Throughput (steps/s)</h3>
<canvas id="sps-chart" width="420" height="180"></canvas>
<div class="legend">
<span class="sps">instantaneous</span>
</div>
</div>
</div>
</div>
<h2>Results</h2>
<table>
<thead>
<tr>
<th>Backend</th>
<th>Forward (max |Δ| vs CPU)</th>
<th>Train step loss</th>
<th>Bench (loss₀ → loss₁, steps/s)</th>
</tr>
</thead>
<tbody id="rows"></tbody>
</table>
<h2>Log</h2>
<pre id="log">—</pre>
<script type="module" src="./vision-bench.js"></script>
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