How Intel Core Ultra 9 285K’s scores are calculated
The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.
verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10
PA Score16/100
Agent-ready 14.7 × 0.30 = 4.41
API quality n/a — excluded, its ×0.20 weight renormalized away
Openness n/a — excluded, its ×0.20 weight renormalized away
Built-in AI 18.0 × 0.15 = 2.70
Automation n/a — excluded, its ×0.15 weight renormalized away
(4.41 + 2.70) ÷ (0.30 + 0.15) = 7.11 ÷ 0.45 = 15.8 — weights renormalized over the scored components
Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.
Agent-ready14.7/100×0.30 of the PA blend
Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.
Point an agent at llms.txt or agent-oriented docsweight 2
2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max
- [probe] https://www.intel.com/llms.txt“PROBE llms.txt: HTTP 200 at https://www.intel.com/llms.txt # Intel Corporation > Intel is a global technology company delivering AI compute, semiconductor manufacturing, > and co”
- [probe] https://www.intel.com/openapi.json“PROBE openapi: all candidate paths 404 (https://www.intel.com/openapi.json, https://www.intel.com/swagger.json, https://www.intel.com/api/openapi.json, https://www.intel.com/.well-known/openapi.json)”
Run the product headlessly / in CI for automationweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Plug MCP servers into this product so it can use their toolsweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Connect an agent via an official MCP serverweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Use an official CLIweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Drive the product through a documented public APIweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Issue scoped/least-privilege API credentials for an agentweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Build against official SDKsweight 2
2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max
- [claimed-docs] https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html“Maximize AI PC inference capabilities from large language models (LLM) to image generation with Intel® oneAPI Deep Neural Network Library (oneDNN) and PyTorch optimizations for Intel® Core™ Ultra processors (series 2) and Intel® Arc™ GPUs.”
- [claimed-docs] https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html“Optimize performance on client GPUs and NPUs from Intel with new analysis tool features in Intel® VTune™ Profiler.”
- [claimed-docs] https://www.intel.com/content/www/us/en/developer/tools/oneapi/overview.html“Intel® DPC++ Compatibility Tool for CUDA-to-SYCL migration”
- [claimed-docs] https://www.intel.com/content/www/us/en/products/sku/241060/intel-core-ultra-9-processor-285k-36m-cache-up-to-5-70-ghz/specifications.html“AI Software Frameworks Supported by CPU OpenVINO™, WindowsML, DirectML, ONNX RT, WebNN”
Subscribe to events via webhooksweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Agent-ready = 13.2 ÷ 90 × 100 = 14.7
API qualityn/a×0.20 of the PA blend
The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.
Explore an interactive API reference with runnable examplesweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Download a machine-readable API spec (OpenAPI or equivalent)weight 2
n/a — not applicable to this product: excluded from numerator and denominator
- [probe] https://www.intel.com/openapi.json“PROBE openapi: all candidate paths 404 (https://www.intel.com/openapi.json, https://www.intel.com/swagger.json, https://www.intel.com/api/openapi.json, https://www.intel.com/.well-known/openapi.json)”
Test against a sandbox environment without touching production dataweight 1
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Rely on versioned APIs with a documented deprecation policyweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
every cell n/a — unscored (not zero), excluded from the blend
Opennessn/a×0.20 of the PA blend
Can you leave, inspect, or self-host — data export, open source, portability.
Do everything through the API that I can do in the UIweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Export all of my data in open formats and leaveweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Read the product's source under an open licenseweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Self-host the core productweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
every cell n/a — unscored (not zero), excluded from the blend
Built-in AI18.0/100×0.15 of the PA blend
Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.
Get AI-generated insights and suggestions from my data inside the productweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Set up automations that run autonomously in the backgroundweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Delegate tasks to a built-in AI assistant inside the productweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Operate the product with natural-language commandsweight 2
2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max
- [claimed-docs] https://www.intel.com/content/www/us/en/products/details/processors/core-ultra.html“Use voice commands to get answers, edit content, and turn ideas into reality.”
Built-in AI = 3.6 ÷ 20 × 100 = 18.0
Automationn/a×0.15 of the PA blend
Depth of automation primitives — rules, scheduling, bulk operations, webhooks.
Perform bulk operations across many items at onceweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Define rules that trigger actions automatically on eventsweight 3
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Schedule recurring jobs or workflowsweight 2
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Version, review, and roll back my automationsweight 1
n/a — not applicable to this product: excluded from numerator and denominator
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
every cell n/a — unscored (not zero), excluded from the blend