llamaperf

Intel Arc Pro B70 vs AMD RX 7900 XTX for local LLMs

14 reports on the Intel Arc Pro B70 and 28 on the AMD RX 7900 XTX

Which is faster for local LLMs?

On Qwen3.8 27B at 4-bit, the Intel Arc Pro B70 runs at 25.6 tokens per second (one run) and the AMD RX 7900 XTX at 41.2 (2 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 1.6x higher on the AMD RX 7900 XTX (608 GB/s on the Intel Arc Pro B70, 960 on the AMD RX 7900 XTX).

Intel Arc Pro B70
Memory
32GB
Memory bandwidth
608 GB/s
FP16 compute
183.5 TFLOPS
Reports
14
AMD RX 7900 XTX
Memory
24GB
Memory bandwidth
960 GB/s
FP16 compute
123 TFLOPS
Reports
28

Measured on both

Median tokens per second 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 quant level. Engines and context lengths can still differ between the runs. How to read these

ModelIntel Arc Pro B70AMD RX 7900 XTX
Qwen3.8 27B4-bit25.6one run41.22 runs

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 RX 7900 XTX
Qwen3.8 27B15.2 t/sQ6_K34.8 t/sQ4_K_M
Qwen3.8 125B · 6B active18.6 t/sQ2_K, experts in RAM19.5 t/sQ2_K, experts in RAM
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 35B · 3B active55.3 t/sQ5_K_M123.2 t/sQ4_K_S
Qwen3.6 27B15.2 t/sQ6_K34.8 t/sQ4_K_M
Gemma 4 26B · 4B active38.8 t/sQ6_K78.4 t/sQ5_K_S
DeepSeek V4.1 Flash 552B · 16B activedoesn't fit at these settingsdoesn't fit at these settings

Change the context, RAM or model in the calculator: Intel Arc Pro B70 · AMD RX 7900 XTX

Every report on each card, with its source: Intel Arc Pro B70 · AMD RX 7900 XTX

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