How GeForce RTX 5070 Ti’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 Score13/100
Agent-ready 25.5 × 0.30 = 7.65
API quality n/a — excluded, its ×0.20 weight renormalized away
Openness 0.0 × 0.20 = 0.00
Built-in AI 19.7 × 0.15 = 2.95
Automation 0.0 × 0.15 = 0.00
(7.65 + 0.00 + 2.95 + 0.00) ÷ (0.30 + 0.20 + 0.15 + 0.15) = 10.60 ÷ 0.80 = 13.3 — 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-ready25.5/100×0.30 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) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [probe] https://developer.nvidia.com/llms.txt“PROBE llms.txt: HTTP 200 at https://developer.nvidia.com/llms.txt # NVIDIA Developer > Comprehensive developer portal for NVIDIA accelerated computing, AI, robotics, graphics, and simul”
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
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
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) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [claimed-docs] https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/“Experiment, build, and optimize with the latest AI technologies on RTX AI PCs. Access curated, GPU-optimized SDKs and models, and maximize performance across Windows ML, Ollama, PyTorch, and other inference backends”
- [claimed-docs] https://developer.nvidia.com/cuda-toolkit“CUDA Tile C++ is an expression of the CUDA Tile programming model in C++... allows you to write tile kernels in C++”
- [claimed-docs] https://developer.nvidia.com/cuda-toolkit“cuTile Python is an expression of the CUDA Tile programming model in Python... allows you to write tile kernels in Python”
- [claimed-docs] https://developer.nvidia.com/cuda-toolkit“NVIDIA Nsight Compute and Nsight System suite of tools designed to help developers optimize and increase performance of their applications”
- [probe] https://developer.nvidia.com/llms.txt“PROBE llms.txt: HTTP 200 at https://developer.nvidia.com/llms.txt # NVIDIA Developer > Comprehensive developer portal for NVIDIA accelerated computing, AI, robotics, graphics, and simul”
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 = 28.0 ÷ 110 × 100 = 25.5
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://developer.nvidia.com/openapi.json“PROBE openapi: all candidate paths 404 (https://developer.nvidia.com/openapi.json, https://developer.nvidia.com/swagger.json, https://developer.nvidia.com/api/openapi.json, https://developer.nvidia.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
Openness0.0/100×0.20 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
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
Self-host the core productweight 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
Openness = 0.0 ÷ 50 × 100 = 0.0
Built-in AI19.7/100×0.15 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
2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max
- [claimed-docs] https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/“NVIDIA Project G-Assist is an AI assistant powered by your GeForce RTX PC that helps you tune, control, and optimize your system”
- [claimed-docs] https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/“Experiment, build, and optimize with the latest AI technologies on RTX AI PCs. Access curated, GPU-optimized SDKs and models, and maximize performance across Windows ML, Ollama, PyTorch, and other inference backends”
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
3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max
- [claimed-docs] https://www.nvidia.com/en-us/geforce/graphics-cards/50-series/rtx-5070-family/“NVIDIA Project G-Assist is an AI assistant powered by your GeForce RTX PC that helps you tune, control, and optimize your system”
Operate the product with natural-language commandsweight 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
Built-in AI = 13.8 ÷ 70 × 100 = 19.7
Automation0.0/100×0.15 of the PA blend
Depth of automation primitives — rules, scheduling, bulk operations, webhooks.
Perform bulk operations across many items at onceweight 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
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
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
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
Automation = 0.0 ÷ 40 × 100 = 0.0