AI System Benchmark

Assess your computer's ability to run local AI models — provide real specs for accurate results.

← Back to AI Workstation & GPU Performance Report
Step 1 — Provide Your System Specs (recommended for accurate results)

Live benchmarks measure real CPU and memory throughput, but total RAM and GPU VRAM cannot be read by a browser — these are the most critical inputs for model-fit scoring. Use one method below to provide exact specs. All data stays in your browser; nothing is sent anywhere.

Press Win + R, type powershell and hit Enter. Paste the command, run it, then copy the output into the box below.

$cpu = Get-CimInstance Win32_Processor | Select-Object -First 1 $gpu = Get-CimInstance Win32_VideoController | Select-Object -First 1 $sys = Get-CimInstance Win32_ComputerSystem $ram = [math]::Round($sys.TotalPhysicalMemory / 1GB) $cores = $cpu.NumberOfCores $threads = $cpu.NumberOfLogicalProcessors $vramRaw = $gpu.AdapterRAM $vram = if ($vramRaw -gt 1GB) { [math]::Round($vramRaw / 1GB) } else { 0 } "=== AI-BENCHMARK-SPECS ===" "CPU: $($cpu.Name.Trim())" "Cores: $cores" "Threads: $threads" "RAM_GB: $ram" "GPU: $($gpu.Name.Trim())" "VRAM_GB: $vram" "==========================="

Press ⌘ Space, type Terminal and hit Enter. Paste the command, run it, then copy the output into the box below.

echo "=== AI-BENCHMARK-SPECS ===" \ && system_profiler SPHardwareDataType 2>/dev/null \ | grep -E "Model Name|Chip|Total Number of Cores|Memory:" \ && system_profiler SPDisplaysDataType 2>/dev/null \ | grep -E "Chipset Model|VRAM" \ && echo "==========================="

Press Win + R, type dxdiag and hit Enter. Wait for it to load, then click "Save All Information" to export a .txt file. Upload it below.

Click to browse or drag & drop your DxDiag .txt file here
Specs detected — these will be used for model scoring:
Step 2 — Run Live Benchmarks

These tests measure your CPU's raw arithmetic throughput and memory bandwidth directly in the browser — the two metrics that most accurately predict LLM token generation speed. Keep this tab in the foreground for reliable results.

— Grade
Model Size Compatibility
Parameters Example Models Q4 RAM FP16 RAM Est. CPU Speed Your System
Raw Benchmark Data
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