llamaperf

M5 Max 48GB vs NVIDIA RTX 5060 Ti 16GB for local LLMs

67 reports on the M5 Max 48GB and 67 on the NVIDIA RTX 5060 Ti 16GB

Which is faster for local LLMs?

On Gemma 4 26B · 4B active at 4-bit, the M5 Max 48GB has 116.9 generation tokens/s (one run); prompt processing 3423.2 tokens/s (one run); the NVIDIA RTX 5060 Ti 16GB has 95.2 generation tokens/s (one run); prompt processing 3476.0 tokens/s (one run). 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 37% higher on the M5 Max 48GB (614 GB/s on the M5 Max 48GB, 448 on the NVIDIA RTX 5060 Ti 16GB). Across 2 shared models with generation measurements on both cards, the M5 Max 48GB's median is higher on 2 and the NVIDIA RTX 5060 Ti 16GB's on 0.

M5 Max 48GB
Memory
48GB unified
Memory bandwidth
614 GB/s
FP16 compute
not on record
Reports
67
NVIDIA RTX 5060 Ti 16GB
Memory
16GB
Memory bandwidth
448 GB/s
FP16 compute
95 TFLOPS
Reports
67

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

ModelM5 Max 48GBNVIDIA RTX 5060 Ti 16GB
Gemma 4 26B · 4B active4-bit116.9one runPP 3423.2 (one run)llama.cppcontext not stated95.2one runPP 3476.0 (one run)llama.cpp64K context
Gemma 4 8B4-bit110.5one runPP 4217.3 (one run)llama.cppcontext not stated73.9one runLM Studio128K context

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.

ModelM5 Max 48GBNVIDIA RTX 5060 Ti 16GB
Gemma 4 26B · 4B active43.2 t/sQ8_065.1 t/sQ3_K_S
Gemma 4 8B30.5 t/sFP1630.8 t/sQ8_0
Qwen3.8 27B22.3 t/sQ6_K29.2 t/sQ2_K
Qwen3.8 125B · 6B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 35B · 3B active88.4 t/sQ5_K_M96.6 t/sQ2_K
DeepSeek V4 Flash 284B · 13B activedoesn't fit at these settingsdoesn't fit at these settings
Qwen3.6 27B22.3 t/sQ6_K29.2 t/sQ2_K
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: M5 Max 48GB · NVIDIA RTX 5060 Ti 16GB

Every report on each card, with its source: M5 Max 48GB · NVIDIA RTX 5060 Ti 16GB

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