RRepoGEO

REPOGEO REPORT · LITE

likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU

Default branch main · commit 5ecb39d9 · scanned 5/31/2026, 7:47:27 PM

GitHub: 839 stars · 55 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU, 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.

OVERALL DIRECTION
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["rocm", "gfx1103", "amd-apu", "amd-780m", "windows", "ai-acceleration", "stable-diffusion", "llama", "zluda", "gpu-optimization", "unofficial-support"]
  • highreadme#2
    Strengthen README opening to highlight unofficial, hardware-specific nature

    Why:

    CURRENT
    ### Boost Your AMD GPU Performance with ROCmLibs for gfx1103 and Beyond!

> **This repository initially created to share optimized ROCm Libraries specifically for the AMD 780M APU's gfx1103 architecture (due to limited official support), It has since grown to include more AMD GPU architectures using the same proven build methods to benefit the community, these libraries are designed to significantly boost performance in popular applications like AI models (e.g., Llama, Stable Diffusion) within the ZLUDA CUDA Wrapper and other ROCm-based environments.
    COPY-PASTE FIX
    ### Unofficial ROCmLibs for AMD APUs (gfx1103, 780M) on Windows: Boost AI Performance Where Official Support Lacks!

> **This repository provides community-optimized ROCm Libraries specifically for AMD APUs like the 780M (gfx1103 architecture) on Windows, addressing the critical gap in official ROCm support. These unofficial libraries significantly boost performance for AI models (e.g., Llama, Stable Diffusion) within ZLUDA CUDA Wrapper and other ROCm-based environments, and have expanded to support more AMD GPU architectures.**
  • mediumhomepage#3
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU

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.

Recall
0 / 2
0% of queries surface likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow · recommended 2×
  3. ONNX Runtime · recommended 2×
  4. DirectML · recommended 2×
  5. ROCm · recommended 1×
  • CATEGORY QUERY
    How to run AI models efficiently on AMD GPUs using ROCm on Windows?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. ROCm
    3. TensorFlow
    4. ONNX Runtime
    5. DirectML
    6. Docker
    7. MIGraphX
    8. OpenVINO
    9. AMD Adrenalin drivers

    AI recommended 9 alternatives but never named likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for optimized ROCm libraries for AMD APUs on Windows without official support.
    you: not recommended
    AI recommended (in order):
    1. DirectML
    2. TensorFlow
    3. PyTorch
    4. ONNX Runtime
    5. clBLAS
    6. clFFT
    7. MIOpen
    8. WSL2
    9. PlaidML

    AI recommended 9 alternatives but never named likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

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 likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU?
    pass
    AI did not name likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU in production, what risks or prerequisites should they evaluate first?
    pass
    AI named likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU 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 likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU solve, and who is the primary audience?
    pass
    AI did not name likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU — 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