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Llama.cpp ROCm 7.14 benchmarks show performance gains for Radeon 780M

By PulseAugur Editorial · [1 sources] ·

A user on Reddit benchmarked the performance of llama.cpp with ROCm 7.14, noting its introduction of support for the Radeon 780M iGPU. The benchmarks compared ROCm against Vulkan for various Qwen models, revealing that ROCm offers a significant speed-up for dense models, particularly at higher context lengths. However, the user also encountered stability issues with ROCm that required specific kernel parameter adjustments, suggesting potential incompatibilities with certain environment variables. AI

IMPACT Provides insights into optimizing local LLM inference performance on specific AMD hardware.

RANK_REASON User-generated benchmark and performance analysis of an open-source software tool.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Llama.cpp ROCm 7.14 benchmarks show performance gains for Radeon 780M

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User-generated benchmark and performance analysis of an open-source software tool.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, product
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High
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20 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Svenska(SV) · /u/MaximusSenior ·

    Llama.cpp ROCm 7.2->7.14 upgrade, Radeon 780m iGPU benchmarks: ROCm vs Vulkan

    <!-- SC_OFF --><div class="md"><p>With all the new models released recently one important upgrade went unnoticed: Llama.cpp bumped ROCm from 7.2 to 7.14.</p> <p>I was waiting for that because in 7.14 support for gfx1103 (Radeon 780m) was introduced.</p> <p>Although it is supporte…

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