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Strix Halo (Ryzen AI Max+ 395, Radeon 8060S) for local LLMs

32 measured results from 9 builds, each linked to its source.

Memoryunified memory: 96–128 GB in our builds
Memory bandwidth256 GB/s (memory bandwidth as listed on llamabench)
Typical EU pricenot tracked yet

Can it run? Gemma 4 26B-A4B on Strix Halo (Radeon 8060S) Gemma 4 31B on Strix Halo (Radeon 8060S) Kolibri-1 on Strix Halo (Radeon 8060S) Qwen3.6 27B on Strix Halo (Radeon 8060S) Qwen3.6 35B-A3B on Strix Halo (Radeon 8060S) Qwen3.8 27B on Strix Halo (Radeon 8060S) gpt-oss 120B on Strix Halo (Radeon 8060S)

All builds with the Strix Halo (Ryzen AI Max+ 395, Radeon 8060S)

BuildGPU(s)Memory GB (total)Results
Strix Halo + Radeon AI Pro R9700 over OCuLink: Qwen3.8 Flash-Next at ~102 tok/s (custom engine)AMD Radeon AI Pro R9700 32 GB (OCuLink x4) + Ryzen AI Max+ 395 Radeon 8060S iGPU1604
Strix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BAMD Ryzen AI Max+ 395 (Radeon 8060S iGPU)1287
Strix Halo (Ryzen AI Max+ 395, 128 GB): Qwen3.8 27B Q6_K, 9.6 to 18 tok/s with MTPAMD Ryzen AI Max+ 395 (Radeon 8060S iGPU)1283
Minisforum MS-S1 MAX (Strix Halo, 128 GB): Qwen3.6 35B-A3B at 62 tok/s on llama.cpp VulkanAMD Ryzen AI Max+ 395 (Radeon 8060S iGPU)1284
HP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7AMD Ryzen AI Max+ PRO 395 (Radeon 8060S iGPU, 32 GB dedicated)1286
Strix Halo mini PC (Ryzen AI Max+ 395, 128 GB): Qwen3.8 27B at 12.6 tok/s Q4_K_M, 7.7 Q8_0AMD Ryzen AI Max+ 395 (Radeon 8060S iGPU)1282
Strix Halo (Ryzen AI Max+ 395, 128 GB) running Kolibri-1 Q4_K_MAMD Ryzen AI Max+ 395 (Radeon 8060S iGPU, gfx1151)1281
Strix Halo (Radeon 8060S, 96 GB): 2026 models (llamabench community)AMD Ryzen AI Max+ (Radeon 8060S iGPU)961
Framework Desktop (AMD Strix Halo) mainboardAMD Ryzen AI Max+ 395 (Radeon 8060S iGPU; Ollama runs CPU only, llama.cpp runs on iGPU via Vulkan)4

All measured results

(MTP, DFlash, DSpark and similar draft-and-verify methods give much higher tok/s on predictable text and are not comparable 1:1 with plain decode)

ModelBuildRan onQuantEnginetok/sDetails
Gemma 4 26B-A4BHP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7Strix Halo (Radeon 8060S)4-bitOllama 0.34.051.8
Gemma 4 31BHP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7Strix Halo (Radeon 8060S)4-bitOllama 0.34.08.8
Kolibri-1Strix Halo (Ryzen AI Max+ 395, 128 GB) running Kolibri-1 Q4_K_MStrix Halo (Radeon 8060S)Q4_K_M (47.45 GB)llama.cpp ROCm (Seraphiel102 fork 8798b65), -ngl 99, f16 KV58.6prefill 951 tok/scontext: 512 (30.5 tok/s at 131K; prefill measured at 32K)📏 C3MA AI_Benchmarks repository, commit 22c9f2dcf2 (2026-10-19)
Qwen3.6 35B-A3BMinisforum MS-S1 MAX (Strix Halo, 128 GB): Qwen3.6 35B-A3B at 62 tok/s on llama.cpp VulkanStrix Halo (Radeon 8060S)Q4_K_M (Unsloth)llama.cpp Vulkan + MTP93⚡ spec-decode (MTP)
Qwen3.6 35B-A3BMinisforum MS-S1 MAX (Strix Halo, 128 GB): Qwen3.6 35B-A3B at 62 tok/s on llama.cpp VulkanStrix Halo (Radeon 8060S)Q4_K_M (Unsloth)llama.cpp Vulkan62
Qwen3.6 35B-A3BStrix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BStrix Halo (Radeon 8060S)Q8_0 + MTP (draft-n-max 3), coding workloadllama.cpp ROCm60.92⚡ spec-decode (MTP)
Qwen3.6 35B-A3BHP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7Strix Halo (Radeon 8060S)Q4_K_Mllama.cpp b11213 Vulkan59.4
Qwen3.6 35B-A3BHP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7Strix Halo (Radeon 8060S)4-bitOllama 0.34.054.4
Qwen3.6 35B-A3BStrix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BStrix Halo (Radeon 8060S)Q8_0, llama-bench tg128llama.cpp Vulkan54.22
Qwen3.6 35B-A3BMinisforum MS-S1 MAX (Strix Halo, 128 GB): Qwen3.6 35B-A3B at 62 tok/s on llama.cpp VulkanStrix Halo (Radeon 8060S)Q8_0llama.cpp Vulkan54
Qwen3.6 35B-A3BMinisforum MS-S1 MAX (Strix Halo, 128 GB): Qwen3.6 35B-A3B at 62 tok/s on llama.cpp VulkanStrix Halo (Radeon 8060S)Q4_K_M (Unsloth)llama.cpp ROCm51
Qwen3.6 35B-A3BStrix Halo (Radeon 8060S, 96 GB): 2026 models (llamabench community)Strix Halo (Radeon 8060S)llama-bench tg128 (quant per result)llama.cpp50.2-62.4
Qwen3.6 35B-A3BStrix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BStrix Halo (Radeon 8060S)Q8_0, llama-bench tg128llama.cpp ROCm47.47
Qwen3.8 27BStrix Halo (Ryzen AI Max+ 395, 128 GB): Qwen3.8 27B Q6_K, 9.6 to 18 tok/s with MTPStrix Halo (Radeon 8060S)Q6_K + MTP (draft-n-max 2)llama.cpp Vulkan (RADV)18.01⚡ spec-decode (MTP)
Qwen3.8 27BStrix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BStrix Halo (Radeon 8060S)Q8_0 + MTP (draft-n-max 3), coding workload, reasoning onllama.cpp ROCm15.67⚡ spec-decode (MTP)
Qwen3.8 27BStrix Halo (Ryzen AI Max+ 395, 128 GB): Qwen3.8 27B Q6_K, 9.6 to 18 tok/s with MTPStrix Halo (Radeon 8060S)Q6_K + MTP (draft-n-max 5)llama.cpp Vulkan (RADV)15.16⚡ spec-decode (MTP)
Qwen3.8 27BStrix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BStrix Halo (Radeon 8060S)Q8_0 + MTP (draft-n-max 3), coding workload, reasoning onllama.cpp Vulkan13.19⚡ spec-decode (MTP)
Qwen3.8 27BStrix Halo mini PC (Ryzen AI Max+ 395, 128 GB): Qwen3.8 27B at 12.6 tok/s Q4_K_M, 7.7 Q8_0Strix Halo (Radeon 8060S)Q4_K_Mllama.cpp/Ollama, ROCm12.6
Qwen3.8 27BStrix Halo (Ryzen AI Max+ 395, 128 GB): Qwen3.8 27B Q6_K, 9.6 to 18 tok/s with MTPStrix Halo (Radeon 8060S)Q6_K, no MTPllama.cpp Vulkan (RADV)9.59
Qwen3.8 27BStrix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BStrix Halo (Radeon 8060S)Q8_0, llama-bench tg128llama.cpp Vulkan7.77
Qwen3.8 27BStrix Halo (Corsair AI Workstation 300, 128 GB): ROCm vs Vulkan on Qwen3.8 27B and Qwen3.6 35B-A3BStrix Halo (Radeon 8060S)Q8_0, llama-bench tg128llama.cpp ROCm7.76
Qwen3.8 27BStrix Halo mini PC (Ryzen AI Max+ 395, 128 GB): Qwen3.8 27B at 12.6 tok/s Q4_K_M, 7.7 Q8_0Strix Halo (Radeon 8060S)Q8_0, --reasoning offllama.cpp/Ollama, ROCm7.7
Qwen3.8 Flash-NextStrix Halo + Radeon AI Pro R9700 over OCuLink: Qwen3.8 Flash-Next at ~102 tok/s (custom engine)mixed / see buildcustom int4 experts / 6-bit trunkstrixpro (MTP depth 3 + prompt lookup)102⚡ spec-decode (MTP)
Qwen3.8 Flash-NextStrix Halo + Radeon AI Pro R9700 over OCuLink: Qwen3.8 Flash-Next at ~102 tok/s (custom engine)mixed / see buildcustom int4 experts / 6-bit trunkstrixpro, ~100K context82
Qwen3.8 Flash-NextStrix Halo + Radeon AI Pro R9700 over OCuLink: Qwen3.8 Flash-Next at ~102 tok/s (custom engine)mixed / see buildcustom int4 experts / 6-bit trunkstrixpro, ~980K context71
Qwen3.8 Flash-NextStrix Halo + Radeon AI Pro R9700 over OCuLink: Qwen3.8 Flash-Next at ~102 tok/s (custom engine)mixed / see buildGGUFllama.cpp (Strix Halo iGPU only)29-34
gpt-oss 120BHP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7Strix Halo (Radeon 8060S)MXFP4llama.cpp b11213 Vulkan44.7
DeepSeek R1 Distill 70B legacyFramework Desktop (AMD Strix Halo) mainboardmixed / see buildOllama defaultOllama (CPU only, iGPU not used)2.43
DeepSeek R1 Distill 8B legacyFramework Desktop (AMD Strix Halo) mainboardmixed / see buildOllama defaultOllama (CPU only, iGPU not used)19.49
Llama 3.1 70B legacyFramework Desktop (AMD Strix Halo) mainboardmixed / see buildQ4_K_Mllama.cpp Vulkan (iGPU, llama-bench tg128)4.97
Llama 3.2 3B legacyFramework Desktop (AMD Strix Halo) mainboardmixed / see buildQ4_K_Mllama.cpp Vulkan (iGPU, llama-bench tg128)88.14
Qwen3.6 27B legacyHP ZBook Ultra G1a (Strix Halo laptop, 128 GB): Qwen3.6 35B-A3B at 59.4 tok/s, gpt-oss 120B at 44.7Strix Halo (Radeon 8060S)4-bitOllama 0.34.011.4

All Strix Halo (Ryzen AI Max+ 395, Radeon 8060S) builds: see also all GPUs · best LLMs by memory size · download the dataset.

FAQ

How fast is the Strix Halo (Ryzen AI Max+ 395, Radeon 8060S) for local LLMs?

The fastest plain-decode result we have is 88.14 tok/s on Llama 3.2 3B (Q4_K_M, llama.cpp Vulkan (iGPU, llama-bench tg128)) in Framework Desktop (AMD Strix Halo) mainboard. Speed depends heavily on the model, quant and engine, so compare like with like in the table. RigBase lists 32 measured results from 9 builds.

How much memory does the Strix Halo (Ryzen AI Max+ 395, Radeon 8060S) have?

unified memory: 96–128 GB in our builds. Memory bandwidth: 256 GB/s (memory bandwidth as listed on llamabench).

Which models have been measured on the Strix Halo (Ryzen AI Max+ 395, Radeon 8060S)?

DeepSeek R1 Distill 70B, DeepSeek R1 Distill 8B, Gemma 4 26B-A4B, Gemma 4 31B, Kolibri-1, Llama 3.1 70B, Llama 3.2 3B, Qwen3.6 27B, Qwen3.6 35B-A3B, Qwen3.8 27B, Qwen3.8 Flash-Next, gpt-oss 120B.

Where do these numbers come from?

Every row links to a build page with its original public source (benchmark logs, READMEs, forum posts). RigBase does not re-run the benchmarks. Results marked ⚡ use speculative decoding and are not comparable 1:1 with plain decode.

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