llamaperf

Intel Arc Pro B70 vs AMD Strix Halo 128GB for local LLMs

19 reports on the Intel Arc Pro B70 and 313 on the AMD Strix Halo 128GB

Which is faster for local LLMs?

On Qwen3.6 35B · 3B active at 4-bit, the Intel Arc Pro B70 has 63.7 generation tokens/s (5 runs); prompt processing 977.4 tokens/s (4 runs); the AMD Strix Halo 128GB has 60.0 generation tokens/s (7 runs); prompt processing 1005.3 tokens/s (7 runs). Those are community reports whose engines and settings differ, so the gap is a rough sign, not a controlled measure of the two cards. Memory bandwidth, which caps how fast a card can write, is 2.4x higher on the Intel Arc Pro B70 (608 GB/s on the Intel Arc Pro B70, 256 on the AMD Strix Halo 128GB). Across 4 shared models with generation measurements on both cards, the Intel Arc Pro B70's median is higher on 4 and the AMD Strix Halo 128GB's on 0.

Intel Arc Pro B70
Memory
32GB
Memory bandwidth
608 GB/s
FP16 compute
183.5 TFLOPS
Reports
19
AMD Strix Halo 128GB
Memory
128GB unified
Memory bandwidth
256 GB/s
FP16 compute
59 TFLOPS
Reports
313

Measured on both

Generation and prompt processing speeds from plain runs (one device, one request, no speculative decoding, the whole model in the device's memory) of the same model size at the same bit class. Each side shows the engines and reported context behind its median. Context can mean a configured window or prompt depth, so these are community comparisons with differing settings. How to read these

ModelIntel Arc Pro B70AMD Strix Halo 128GB
Qwen3.6 35B · 3B active4-bit63.75 runsPP 977.4 (4 runs)llama.cpp127K to 256K context, 2 not stated60.07 runsPP 1005.3 (7 runs)llama.cpp, 3 not stated30K context, 6 not stated
Qwen3.8 27B4-bit25.6one runPP 512.1 (one run)llama.cppcontext not stated13.14 runsPP 378.2 (3 runs)llama.cpp, 1 not stated32K context, 3 not stated
Qwen3.8 27B8-bit16.7one runPP 1047.0 (one run)llama.cppcontext not stated7.53 runsPP 257.8 (2 runs)llama.cpp, 1 not statedcontext not stated
Ornith1.5 35B · 3B active4-bit175.3one runPP 9698.6 (one run)engine not statedcontext not stated72.6one runPP 1504.9 (one run)llama.cppcontext not stated

Estimated by the calculator

The quant the calculator recommends for each card and its estimated speed at a 32,768-token context with 32 GB of system RAM, from memory bandwidth and the model's shape. Where a model was also measured above, the measurement wins.

ModelIntel Arc Pro B70AMD Strix Halo 128GB
Qwen3.6 35B · 3B active55.3 t/sQ5_K_M12.6 t/sFP16
Qwen3.8 27B15.2 t/sQ6_K3.5 t/sFP16
Ornith1.5 35B · 3B active55.3 t/sQ5_K_M12.6 t/sFP16
Qwen3.8 125B · 6B active18.6 t/sQ2_K, experts in RAM12.6 t/sQ6_K
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settings33.5 t/sQ2_K
Qwen3.6 27B15.2 t/sQ6_K3.5 t/sFP16
Gemma 4 26B · 4B active38.8 t/sQ6_K9.5 t/sFP16
DeepSeek V4.1 Flash 552B · 16B activedoesn't fit at these settingsdoesn't fit at these settings
GLM-5.3 320B · 18B activedoesn't fit at these settings11.1 t/sQ2_K

Change the context, RAM or model in the calculator: Intel Arc Pro B70 · AMD Strix Halo 128GB

Every report on each card, with its source: Intel Arc Pro B70 · AMD Strix Halo 128GB

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