IngiaFungua pochi

M5 Max yenye GB 64 inaweza kuendesha nini?

Modeli huria 39 kati ya 73 zinaenda vizuri juu yake. Kwa chaguo-msingi GPU inaweza kutumia takriban GB 48 kati ya GB 64 zake, na husoma kumbukumbu kwa 614 GB/s, jambo linaloamua kasi yake ya kuandika. Inapatikana katika: MacBook Pro (14-inch, M5 Pro or M5 Max), MacBook Pro (16-inch, M5 Pro or M5 Max), Mac Studio (M5 Max or M5 Ultra).

Yenye akili zaidi inayoenda vizuriQwen3.8 27B8-bit · 28.7 GB · 10–17 tok/sKubwa zaidi inayoenda vizuriNemotron 3.5 Bolt 74B A9B4-bit · 41.6 GB · 54–96 tok/sKwa kuandika codeQwen3 Coder 30B A3B Instruct8-bit · 32.4 GB · 79–140 tok/s

Zinaenda vizuri 47

Inatosha na kubakiza nafasi ya context, kwa tokeni 10 au zaidi kwa sekunde.

ModeliToleoKumbukumbuTokeni/s
Qwen3.8 27B27B · Akili 33.78-bit28.7 GB10–17
Nemotron 3.5 Bolt 74B A9B74B · 9B zinazotumika · Akili 21.44-bit41.6 GB54–96
Qwen3.6 35B A3B35B · 3B zinazotumika · Akili 18.28-bit37.2 GB86–154
Muse Glimmer 30B29.6B · Akili 17.56-bit24.1 GB11–20
Gemma 4 31B30.7B · Akili 14.76-bit24.9 GB11–20
Nemotron 3.5 Lightning 30B A3B30B · 3B zinazotumika · Akili 12.98-bit31.9 GB86–154
Granite 4.2 30B30B · Akili 12.76-bit24.4 GB11–20
MiniCPM5 2B2.52B · Akili 12.58-bit2.7 GB102–182
Qwen3.5 9B9B · Akili 11.28-bit9.6 GB29–51
Granite 4.2 8B8B · Akili 11.18-bit8.5 GB33–58
Granite 4.2 3B3B · Akili 9.18-bit3.2 GB86–154
gpt-oss-20b21B · 3.6B zinazotumika · Akili 94.25-bit asili13.8 GB145–259
Nemotron 3 Nano 30B A3B30B · 3.5B zinazotumika · Akili 8.98-bit31.9 GB75–133
Gemma 4 E4B8B · Akili 8.98-bit8.5 GB58–102
Ministral 3 8B8.9B · Akili 5.58-bit9.5 GB29–52
Nemotron 3 Nano 4B3.97B · Akili 4.88-bit4.2 GB66–117
Qwen3 Coder 30B A3B Instruct30.5B · 3.3B zinazotumika8-bit32.4 GB79–140
GLM-4.7 Flash30B · 3B zinazotumika8-bit31.9 GB86–154
Qwen3.6 27B27B8-bit28.7 GB10–17
Gemma 4 26B A4B25.2B · 3.8B zinazotumika8-bit26.8 GB69–123
Devstral Small 2 (24B)24B8-bit25.5 GB11–19
Magistral Small 1.2 (2509)24B8-bit25.5 GB11–19
Mistral Small 3.2 (24B)24B8-bit25.5 GB11–19
LFM2.5 24B A2B24B · 2B zinazotumika8-bit25.5 GB132–234
Phi-4 Reasoning Vision 15B15B8-bit15.9 GB17–31
Phi-4 (14B)14B8-bit14.9 GB19–33
Gemma 4 12B Unified12B8-bit12.7 GB22–39
Qwen3 8B8.2B8-bit8.7 GB32–56
Llama 3.1 8B Instruct8B8-bit8.5 GB33–58
Gemma 4 E2B5.1B8-bit5.4 GB115–205
Qwen3.5 4B4B8-bit4.3 GB64–114
Phi-4 mini instruct3.8B8-bit4 GB69–123
Llama 3.2 3B Instruct3.21B8-bit3.4 GB81–144
SmolLM3 3B3B8-bit3.2 GB86–154
LFM2.5 2.6B2.69B8-bit2.9 GB95–169
Qwen3.5 2B2B8-bit2.1 GB132–234
Llama 3.2 1B Instruct1.23B8-bit1.3 GB213–378
Qwen3.5 0.8B0.8B8-bit0.9 GB307–546
Qwen3 0.6B0.6B8-bit0.6 GB461–819
Qwen3.5 122B A10B122B · 10B zinazotumika · Akili 15.62-bit ubora wa chini38.1 GB89–158
gpt-oss-120b117B · 5.1B zinazotumika · Akili 11.62-bit ubora wa chini36.6 GB173–307
Mistral Small 4 (119B)119B · 6.5B zinazotumika · Akili 11.32-bit ubora wa chini37.2 GB138–246
Qwen3 Coder Next80B · 3B zinazotumika · Akili 9.23-bit ubora wa chini35 GB213–378
Llama 4 Scout 17B-16E Instruct109B · 17B zinazotumika · Akili 6.52-bit ubora wa chini34.1 GB52–93
Ornith 1.5 122B122B · 10B zinazotumika2-bit ubora wa chini38.1 GB89–158
Nemotron 3 Super 120B A12B120B · 12B zinazotumika2-bit ubora wa chini37.5 GB73–129
GLM-4.5 Air106B · 12B zinazotumika2-bit ubora wa chini33.1 GB73–129

Zinaenda, lakini polepole 3

Inatosha, lakini chini ya tokeni 10 kwa sekunde: sawa kwa kazi za kundi, polepole kwa mazungumzo.

ModeliToleoKumbukumbuTokeni/s
Llama 3.3 70B Instruct70B4-bit39.4 GB7–12
Mistral Medium 3.5 (128B)128B · Akili 14.22-bit ubora wa chini40 GB7–12
Devstral 2 (123B)123B2-bit ubora wa chini38.4 GB7–13

Kubwa mno 23

Inahitaji kumbukumbu zaidi ya GB 64, hata kwa biti 2.

Mac nyingine

Kila Mac yenye GB 64, ya chipu yoyote.

M5 Max yenye kumbukumbu zaidi au kidogo:

Chipu jirani:

Ana kwa ana:

Dhidi ya PC na kadi za michoro:

Ilinganishe na Mac au GPU yoyote · M5 Max kwa AI ya ndani ya kifaa · Mac bora kwa LLM za ndani · Kila Mac

Maswali

LLM ipi ni bora kwa M5 Max yenye GB 64?
Miongoni mwa modeli zenye Intelligence Index iliyochapishwa, Qwen3.8 27B ina alama ya juu zaidi kati ya zile zinazoenda vizuri hapa: 8-bit, takriban tokeni 10–17 kwa sekunde. Kubwa zaidi inayoenda vizuri ni Nemotron 3.5 Bolt 74B A9B.
Je, M5 Max yenye GB 64 inaweza kuendesha Llama 3.3 70B?
Ndiyo, lakini polepole: 4-bit, kwa takriban tokeni 7–12 kwa sekunde.
gpt-oss-20b ina kasi gani kwenye M5 Max?
Takriban tokeni 145–259 kwa sekunde (4.25-bit asili), kutokana na bandwidth ya kumbukumbu ya chipu ya 614 GB/s.

Ziendeshe kwa MLX Harness (bure, open source) au mlx-lm ya Apple ndani ya Terminal: hatua kwa hatua.

Jinsi inavyokokotolewa

Kumbukumbu: vigezo vya modeli kwa biti 8, 6, 4, 3 au 2 kwa kila weight pamoja na group scales za MLX (nusu biti kwa kila weight), au muundo wake asili, pamoja na nafasi ya context juu yake. Kwa chaguo-msingi macOS huiruhusu GPU kutumia takriban 75% ya unified memory. Kasi: bandwidth ya kumbukumbu ikigawanywa kwa baiti zinazosomwa kwa kila tokeni ndiyo kikomo cha juu kwa mazungumzo moja; katika benchmarks za umma za llama.cpp kwenye Apple Silicon uendeshaji halisi hufikia takriban 45% hadi 80% yake, na huo ndio upana unaoonyeshwa. Haya ni makadirio, si vipimo: pima Mac yako mwenyewe kwenye MLX Bench. Takwimu za modeli ni kutoka kwa kadi rasmi ya kila modeli, takwimu za chipu ni kutoka Tech Specs za Apple. Imekaguliwa 2026-10-19. Data ileile ya mlx.app/compare.

M5 Max yenye GB 64 inaendesha LLM zipi? Modeli na kasi