REPOGEO REPORT · LITE
pigirons/cpufp
Default branch master · commit ffb33818 · scanned 6/12/2026, 2:38:28 PM
GitHub: 584 stars · 132 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface pigirons/cpufp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README's opening sentence to clarify purpose
Why:
CURRENTThis is a cpu tool for benchmarking the peak performance of floating-points and AI ISAs.
COPY-PASTE FIXcpufp is a specialized CPU benchmarking tool designed to measure the peak performance of floating-point and AI (e.g., SIMD, DSA) instruction sets across various architectures.
- hightopics#2Add relevant topics for categorization
Why:
COPY-PASTE FIXcpu-benchmark, floating-point, simd, dsa, isa, performance-testing, arm64, x86-64, loongarch64, riscv64, e2k, ai-isa
- lowhomepage#3Add a homepage URL
Why:
COPY-PASTE FIXhttps://github.com/pigirons/cpufp
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Geekbench 6 · recommended 1×
- Cinebench R23 · recommended 1×
- AIDA64 Extreme · recommended 1×
- Prime95 · recommended 1×
- Intel Math Kernel Library (MKL) · recommended 1×
- CATEGORY QUERYHow can I benchmark my CPU's floating-point and AI instruction set performance?you: not recommendedAI recommended (in order):
- Geekbench 6
- Cinebench R23
- AIDA64 Extreme
- Prime95
- Intel Math Kernel Library (MKL)
- NumPy
- SPEC CPU 2017
- OpenVINO Benchmark Application
AI recommended 8 alternatives but never named pigirons/cpufp. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a tool to evaluate SIMD and DSA instruction performance across different architectures.you: not recommendedAI recommended (in order):
- Intel VTune Profiler
- AMD uProf
- perf
- LLVM-MCA
- Google Benchmark
- Catch2
- Valgrind
- Callgrind
- Cachegrind
- Arm Streamline
AI recommended 10 alternatives but never named pigirons/cpufp. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of pigirons/cpufp?passAI named pigirons/cpufp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts pigirons/cpufp in production, what risks or prerequisites should they evaluate first?passAI named pigirons/cpufp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo pigirons/cpufp solve, and who is the primary audience?passAI named pigirons/cpufp explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of pigirons/cpufp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/pigirons/cpufp)<a href="https://repogeo.com/en/r/pigirons/cpufp"><img src="https://repogeo.com/badge/pigirons/cpufp.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
pigirons/cpufp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite