WebGPU Shader & Inference Latency Profiler
Benchmark local GPU compute capabilities using the native WebGPU API. Measure WGSL compute shader compilation, parallel GEMM matrix throughput (GFLOPS), and VRAM transfer bandwidth offline.
[ SPECIFICATION // SECURITY ]: Client-side GPU hardware adapter inspector, browser VRAM limits auditor, and compute shader benchmark engine.
Standard: W3C WebGPU Specification & Compute Shaders
[ WEBGPU API ][ HARDWARE DIRECT ][ ZERO TELEMETRY ][ OPEN SOURCE // MIT ]
[ 1. HARDWARE ADAPTER & GPU LIMITS ]
GPU Vendor
Detecting...
Architecture
Detecting...
Max Storage Buffer
Detecting...
Workgroup Limits
Detecting...
[ ADVANCED WEBGPU EXTENSIONS ]
shader-f16 (FP16 Tensors)
subgroups (SIMD Matrix)
timestamp-query
float32-filterable
[ 2. BENCHMARK CONTROLS ]
Parallel tiled matrix multiplication compute shader executed purely on GPU.
[ 3. MEASURED PERFORMANCE METRICS ]
Compute Throughput
--
GFLOPS (FP32)
Shader Latency
--
WGSL Pipeline (ms)
VRAM Readback
--
Copy Speed (GB/s)
Inference Class
--
Edge AI Profile
[ PROJECTED LOCAL BROWSER LLM TOKENS/SEC ]
| Model Architecture | Est. VRAM | Speed |
|---|---|---|
| Qwen 2.5 0.5B (q4f16) | ~450 MB | -- tok/s |
| Llama 3.2 1B (q4f16) | ~880 MB | -- tok/s |
| Llama 3.2 3B (q4f16) | ~2.2 GB | -- tok/s |
| Mistral 7B (q4f16) | ~4.8 GB | -- tok/s |
[ DIAGNOSTIC LOG ]
[ SYSTEM ] WebGPU Profiler initialized. Ready to execute WGSL matrix kernel.
[ RELATED AI INFRASTRUCTURE RESOURCES ]
[ IN-BROWSER AI RUNTIMES ]
WebGPU LLM Inference & In-Browser Sandboxing Architecture
Execute large language models directly on client GPUs via WebGPU compute pipelines without server backend dependencies.
Frequently Asked Questions (FAQ)
What is WebGPU Profiler & Hardware Benchmark?
WebGPU Profiler is an in-browser utility to inspect GPU hardware capabilities, VRAM limits, compute shader performance, and supported WebGPU extensions in your browser.
Which browsers natively support WebGPU?
WebGPU is supported natively in Google Chrome/Chromium 113+, Microsoft Edge 113+, Firefox Nightly (via feature flag), and Safari 18+ on macOS/iOS.
How does WebGPU accelerate in-browser AI and LLM inference?
WebGPU provides high-throughput compute pipelines accessing GPU shader cores directly from JavaScript/WASM for AI model execution without external CUDA drivers.
Does the WebGPU profiler collect or transmit hardware telemetry?
No. All GPU adapter inspections and compute shader benchmarks execute 100% locally in the client browser with zero telemetry or analytics tracking.
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