Apple M5 Max (128GB)
The Apple M5 Max (128GB) uses a unified memory architecture. For reliable local LLM inference without OS memory pressure, this benchmark models a 75% usable allocation (96 GB) with 614 GB/s unified memory bandwidth.
Memory
128 GB
Usable Memory Ceiling
96 GB (75% usable budget)
Bandwidth
614 GB/s
Max Inference Class
70B+ Models (Q4)
TDP
150W
VRAM Scaling by Context Length
Estimated memory requirements as context length increases. Curves crossing above the reference line indicate Out of Memory (OOM).
Precision:
Best Models to Run on Apple M5 Max (128GB)
Inference throughput, memory compatibility, and generation speeds for open-weights LLMs on Apple M5 Max (128GB).
Sort by:
Context:
KV Cache:
| Rank | Model | Parameters | Precision | TPS (Approx.) | TTFT | Can Run |
|---|---|---|---|---|---|---|
#33 | Qwen 3.8 27B | 27B | INT4 Q8 FP16 | 30 tok/s 18 tok/s 9 tok/s | ~16.3s ~16.3s ~16.4s | |
#41 | Qwen 3.8 Flash | 176B (6B active) | INT4 | 98 tok/s | ~3.8s | |
#48 | Agnes 3.0 Flash | 33B | INT4 Q8 FP16 | 26 tok/s 15 tok/s 8 tok/s | ~19.8s ~19.9s ~19.9s | |
#61 | Sarvam-105B | 106B (10.3B active) | INT4 | 67 tok/s | ~8.3s | |
#72 | K2 Horizon MoVA 36B A4B | 36B (4B active) | INT4 Q8 FP16 | 110 tok/s 80 tok/s 50 tok/s | ~3.2s ~3.2s ~3.2s | |
#75 | Ling 3.0 Flash VL | 124B (5.5B active) | INT4 | 100 tok/s | ~5.9s | |
#83 | Qwen3.5-27B | 27B | INT4 Q8 FP16 | 30 tok/s 18 tok/s 9 tok/s | ~16.3s ~16.3s ~16.4s | |
#84 | Qwen3.5-122B-A10B | 122B (10B active) | INT4 | 53 tok/s | ~8.5s | |
#92 | Sarvam-30B | 32B (2.4B active) | INT4 Q8 FP16 | 137 tok/s 108 tok/s 72 tok/s | ~2.2s ~2.2s ~2.2s | |
#94 | Qwen3.6 35B A3B | 35B (3B active) | INT4 Q8 FP16 | 125 tok/s 95 tok/s 62 tok/s | ~2.6s ~2.6s ~2.6s | |
#96 | Muse Glimmer 30B | 30B | INT4 Q8 FP16 | 28 tok/s 16 tok/s 8 tok/s | ~18.1s ~18.1s ~18.2s | |
#100 | Phi-4 Reasoning Plus | 14B | INT4 Q8 FP16 | 40 tok/s 27 tok/s 16 tok/s | ~8.6s ~8.6s ~8.6s | |
#101 | MiMo V2 Flash | 15B (309B active) | INT4 Q8 FP16 | 3 tok/s 2 tok/s 1 tok/s | ~178.3s ~178.6s ~179.2s | |
#106 | GLM-4.5-Air | 106B (12B active) | INT4 | 20 tok/s | ~9.4s | |
#108 | Gemma 4 26B A4B | 25.2B (3.8B active) | INT4 Q8 FP16 | 117 tok/s 85 tok/s 52 tok/s | ~2.9s ~2.9s ~2.9s | |
#109 | Gemma 4 12B | 11.95B | INT4 Q8 FP16 | 45 tok/s 31 tok/s 18 tok/s | ~7.3s ~7.4s ~7.4s | |
#113 | Qwen3.5-9B | 9B | INT4 Q8 FP16 | 75 tok/s 47 tok/s 26 tok/s | ~5.6s ~5.6s ~5.6s | |
#114 | Qwen3.5-35B-A3B | 35B (3B active) | INT4 Q8 FP16 | 125 tok/s 95 tok/s 62 tok/s | ~2.6s ~2.6s ~2.6s | |
#114 | Ling 3.0 Flash | 124B (5.1B active) | INT4 | 105 tok/s | ~5.7s | |
#118 | K2 Horizon 7B | 7B | INT4 Q8 FP16 | 90 tok/s 58 tok/s 33 tok/s | ~4.3s ~4.4s ~4.4s | |
#126 | Qwen3 Next 80B A3B | 80B (79B active) | INT4 Q8 | 9 tok/s 5 tok/s | ~47.2s ~55.6s | |
#128 | NVIDIA Nemotron 3 Nano 30B-A3B | 3.5B (30B active) | INT4 Q8 FP16 | 26 tok/s 16 tok/s 8 tok/s | ~17.5s ~17.5s ~17.6s | |
#129 | Gemma 4 31B | 30.7B | INT4 Q8 FP16 | 27 tok/s 16 tok/s 8 tok/s | ~18.5s ~18.5s ~18.6s | |
#130 | GPT-OSS 120B | 117B (5.1B active) | INT4 | 20 tok/s | ~6.2s | |
#131 | Nemotron 3.5 Lightning | 30B (3B active) | INT4 Q8 FP16 | 55 tok/s 50 tok/s 39 tok/s | ~2.6s ~2.6s ~2.6s | |
#132 | Qwen3.5-4B | 4B | INT4 Q8 FP16 | 127 tok/s 88 tok/s 53 tok/s | ~2.5s ~2.5s ~2.6s | |
#133 | Qwen3-30B-A3B | 30B (3B active) | INT4 Q8 FP16 | 127 tok/s 96 tok/s 62 tok/s | ~2.5s ~2.5s ~2.6s | |
#136 | GPT-OSS 20B | 21B (3.6B active) | INT4 Q8 FP16 | 61 tok/s 53 tok/s 39 tok/s | ~2.7s ~2.7s ~2.7s | |
#144 | Mistral Medium 3.5 128B | 128B | INT4 | 5 tok/s | ~83.1s | |
#146 | Granite 4.2 8B | 8B | INT4 Q8 FP16 | 82 tok/s 52 tok/s 29 tok/s | ~4.9s ~5.0s ~5.0s | |
#150 | Gemma 4 E4B | 8B | INT4 Q8 FP16 | 82 tok/s 52 tok/s 29 tok/s | ~4.9s ~5.0s ~5.0s | |
#151 | Nemotron 3.5 Lightning 30B A3B | 30B (3B active) | INT4 Q8 FP16 | 127 tok/s 96 tok/s 62 tok/s | ~2.5s ~2.5s ~2.6s | |
#153 | Qwen3-32B | 32B | INT4 Q8 FP16 | 26 tok/s 15 tok/s 8 tok/s | ~19.3s ~19.3s ~19.3s | |
#154 | Qwen2.5-72B | 72B | INT4 Q8 | 12 tok/s 7 tok/s | ~43.0s ~43.1s | |
#155 | Mistral Large 3 | 41B (675B active) | INT4 Q8 FP16 | 1 tok/s 1 tok/s 1 tok/s | ~389.3s ~389.9s ~460.0s | |
#156 | GLM-4 | 32B | INT4 Q8 FP16 | 21 tok/s 13 tok/s 7 tok/s | ~19.3s ~19.3s ~19.4s | |
#157 | DeepSeek-R1 70B | 70B | INT4 Q8 | 13 tok/s 7 tok/s | ~41.8s ~41.9s | |
#158 | GLM-4V | 9B | INT4 Q8 FP16 | 56 tok/s 39 tok/s 23 tok/s | ~5.6s ~5.6s ~5.6s | |
#159 | Gemma 3 27B | 27B | INT4 Q8 FP16 | 30 tok/s 18 tok/s 9 tok/s | ~16.3s ~16.3s ~16.4s | |
#160 | Phi-4 | 14B | INT4 Q8 FP16 | 53 tok/s 32 tok/s 17 tok/s | ~8.6s ~8.6s ~8.6s | |
#161 | Llama 3.3 70B | 70B | INT4 Q8 | 13 tok/s 7 tok/s | ~41.8s ~41.9s | |
#162 | DeepSeek-R1 32B | 32B | INT4 Q8 FP16 | 27 tok/s 15 tok/s 8 tok/s | ~19.3s ~19.3s ~19.3s | |
#163 | Hunyuan Standard | 52B (389B active) | INT4 Q8 | 2 tok/s 1 tok/s | ~224.9s ~225.2s | |
#164 | Qwen2.5-32B | 32B | INT4 Q8 FP16 | 26 tok/s 15 tok/s 8 tok/s | ~19.3s ~19.3s ~19.3s | |
#168 | Magistral Small | 24B | INT4 Q8 FP16 | 26 tok/s 17 tok/s 10 tok/s | ~14.5s ~14.6s ~14.6s | |
#169 | OLMo 3 7B Think | 7B | INT4 Q8 FP16 | 66 tok/s 48 tok/s 29 tok/s | ~4.3s ~4.4s ~4.4s | |
#170 | OLMo 3.1 32B Instruct | 32B | INT4 Q8 FP16 | 21 tok/s 13 tok/s 7 tok/s | ~19.3s ~19.3s ~19.4s | |
#171 | Llama 3.1 70B | 70B | INT4 Q8 | 13 tok/s 7 tok/s | ~41.8s ~41.9s | |
#172 | DeepSeek-R1 14B | 14B | INT4 Q8 FP16 | 55 tok/s 33 tok/s 17 tok/s | ~8.6s ~8.6s ~8.6s | |
#173 | Ministral 3 14B | 14B | INT4 Q8 FP16 | 40 tok/s 27 tok/s 16 tok/s | ~8.6s ~8.6s ~8.6s | |
#174 | Mistral-Large-2407 | 123B | INT4 | 7 tok/s | ~73.6s | |
#175 | Llama 4 Scout | 109B (17B active) | INT4 | 39 tok/s | ~12.3s | |
#177 | Gemma 3 12B | 12B | INT4 Q8 FP16 | 60 tok/s 37 tok/s 20 tok/s | ~7.4s ~7.4s ~7.4s | |
#178 | Command A | 111B | INT4 | 6 tok/s | ~66.4s | |
#179 | Qwen2-72B | 72B | INT4 Q8 | 12 tok/s 7 tok/s | ~43.0s ~43.1s | |
#180 | OLMo 3 32B Base | 32B | INT4 Q8 FP16 | 21 tok/s 13 tok/s 7 tok/s | ~19.3s ~19.3s ~19.4s | |
#181 | Mistral-Small-2501 | 24B | INT4 Q8 FP16 | 34 tok/s 20 tok/s 10 tok/s | ~14.5s ~14.5s ~14.6s | |
#182 | Ministral 3 8B | 8B | INT4 Q8 FP16 | 61 tok/s 43 tok/s 26 tok/s | ~4.9s ~5.0s ~5.0s | |
#183 | Qwen3.5-2B | 2B | INT4 Q8 FP16 | 174 tok/s 134 tok/s 89 tok/s | ~1.4s ~1.4s ~1.4s | |
#184 | MiniCPM5-2B | 2B | INT4 Q8 FP16 | 174 tok/s 134 tok/s 89 tok/s | ~1.4s ~1.4s ~1.4s | |
#185 | Qwen2.5-14B | 14B | INT4 Q8 FP16 | 53 tok/s 32 tok/s 17 tok/s | ~8.6s ~8.6s ~8.6s | |
#186 | Gemma 2 27B | 27B | INT4 Q8 FP16 | 30 tok/s 18 tok/s 9 tok/s | ~16.3s ~16.3s ~16.4s | |
#187 | OLMo 3.1 32B Think | 32B | INT4 Q8 FP16 | 21 tok/s 13 tok/s 7 tok/s | ~19.3s ~19.3s ~19.4s | |
#188 | Gemma 4 E2B | 5.1B | INT4 Q8 FP16 | 110 tok/s 74 tok/s 43 tok/s | ~3.2s ~3.2s ~3.2s | |
#189 | Qwen3-4B | 4B | INT4 Q8 FP16 | 127 tok/s 88 tok/s 53 tok/s | ~2.5s ~2.5s ~2.6s | |
#190 | DeepSeek-R1 8B | 8B | INT4 Q8 FP16 | 84 tok/s 53 tok/s 29 tok/s | ~4.9s ~5.0s ~5.0s | |
#191 | Llama 3 70B | 70B | INT4 Q8 | 13 tok/s 7 tok/s | ~41.8s ~41.9s | |
#192 | Command R Plus | 104B | INT4 | 7 tok/s | ~62.2s | |
#193 | Ministral 3 3B | 3B | INT4 Q8 FP16 | 105 tok/s 84 tok/s 57 tok/s | ~1.9s ~2.0s ~2.0s | |
#195 | Qwen3-14B | 14B | INT4 Q8 FP16 | 53 tok/s 32 tok/s 17 tok/s | ~8.6s ~8.6s ~8.6s | |
#196 | Kimi Linear 48B A3B Instruct | 48B (3B active) | INT4 Q8 | 47 tok/s 44 tok/s | ~2.8s ~2.8s | |
#197 | Gemma 2 9B | 9B | INT4 Q8 FP16 | 75 tok/s 47 tok/s 26 tok/s | ~5.6s ~5.6s ~5.6s | |
#198 | Qwen2.5-7B | 7B | INT4 Q8 FP16 | 90 tok/s 58 tok/s 33 tok/s | ~4.3s ~4.4s ~4.4s | |
#199 | Qwen3-8B | 8B | INT4 Q8 FP16 | 82 tok/s 52 tok/s 29 tok/s | ~4.9s ~5.0s ~5.0s | |
#200 | Gemma 3 4B | 4B | INT4 Q8 FP16 | 127 tok/s 88 tok/s 53 tok/s | ~2.5s ~2.5s ~2.6s | |
#201 | DeepSeek-R1 7B | 7B | INT4 Q8 FP16 | 92 tok/s 59 tok/s 33 tok/s | ~4.3s ~4.3s ~4.4s | |
#202 | Llama 3.1 8B | 8B | INT4 Q8 FP16 | 82 tok/s 52 tok/s 29 tok/s | ~4.9s ~5.0s ~5.0s | |
#203 | Mixtral-8x22B-v0.1 | 176B (22B active) | INT4 | 29 tok/s | ~18.2s | |
#204 | Qwen3-1.7B | 1.7B | INT4 Q8 FP16 | 186 tok/s 146 tok/s 99 tok/s | ~1.2s ~1.2s ~1.2s | |
#205 | Command R | 35B | INT4 Q8 FP16 | 19 tok/s 12 tok/s 7 tok/s | ~21.0s ~21.0s ~21.1s | |
#206 | Gemma 3 270M | 0.27B | INT4 Q8 FP16 | 259 tok/s 245 tok/s 218 tok/s | ~184 ms ~184 ms ~184 ms | |
#208 | Llama 3 8B | 8B | INT4 Q8 FP16 | 82 tok/s 52 tok/s 29 tok/s | ~4.9s ~5.0s ~5.0s | |
#209 | Qwen3-0.6B | 0.6B | INT4 Q8 FP16 | 249 tok/s 220 tok/s 176 tok/s | ~408 ms ~408 ms ~409 ms | |
#210 | Phi-4-Mini | 3.8B | INT4 Q8 FP16 | 130 tok/s 91 tok/s 55 tok/s | ~2.4s ~2.4s ~2.4s | |
#211 | Mixtral-8x7B-v0.1 | 46.7B (7B active) | INT4 Q8 FP16 | 81 tok/s 54 tok/s 28 tok/s | ~5.0s ~5.1s ~6.0s | |
#212 | Ministral-8B-2410 | 8B | INT4 Q8 FP16 | 82 tok/s 52 tok/s 29 tok/s | ~4.9s ~5.0s ~5.0s | |
#213 | DeepSeek-R1 1.5B | 1.5B | INT4 Q8 FP16 | 195 tok/s 156 tok/s 108 tok/s | ~1.0s ~1.0s ~1.0s | |
#214 | Llama 3.2 3B | 3B | INT4 Q8 FP16 | 147 tok/s 106 tok/s 66 tok/s | ~1.9s ~1.9s ~2.0s | |
#215 | Qwen3.5-0.8B | 0.8B | INT4 Q8 FP16 | 234 tok/s 201 tok/s 154 tok/s | ~551 ms ~551 ms ~553 ms | |
#216 | Phi-3-mini | 3.8B | INT4 Q8 FP16 | 130 tok/s 91 tok/s 55 tok/s | ~2.4s ~2.4s ~2.4s | |
#217 | Gemma 3n E2B IT | 6B (2B active) | INT4 Q8 FP16 | 105 tok/s 92 tok/s 68 tok/s | ~1.4s ~1.4s ~1.5s | |
#218 | Mistral-7B-Instruct-v0.1 | 7.3B | INT4 Q8 FP16 | 87 tok/s 56 tok/s 31 tok/s | ~4.5s ~4.5s ~4.5s | |
#219 | Llama 3.2 1B | 1B | INT4 Q8 FP16 | 220 tok/s 185 tok/s 137 tok/s | ~699 ms ~700 ms ~702 ms | |
#220 | Gemma 2 2B | 2B | INT4 Q8 FP16 | 174 tok/s 134 tok/s 89 tok/s | ~1.4s ~1.4s ~1.4s | |
#221 | Phi-3-medium | 14B | INT4 Q8 FP16 | 53 tok/s 32 tok/s 17 tok/s | ~8.6s ~8.6s ~8.6s | |
#222 | OLMo 3 7B Instruct | 7B | INT4 Q8 FP16 | 66 tok/s 48 tok/s 29 tok/s | ~4.3s ~4.4s ~4.4s | |
#223 | Yi-34B | 34B | INT4 Q8 FP16 | 20 tok/s 13 tok/s 7 tok/s | ~20.4s ~20.5s ~20.5s | |
#224 | Qwen2-7B | 7B | INT4 Q8 FP16 | 90 tok/s 58 tok/s 33 tok/s | ~4.3s ~4.4s ~4.4s | |
#225 | Phi-3-small | 7B | INT4 Q8 FP16 | 90 tok/s 58 tok/s 33 tok/s | ~4.3s ~4.4s ~4.4s | |
#226 | Gemma 3 1B | 1B | INT4 Q8 FP16 | 220 tok/s 185 tok/s 137 tok/s | ~699 ms ~700 ms ~702 ms | |
#227 | Mistral-7B-Instruct-v0.2 | 7.3B | INT4 Q8 FP16 | 87 tok/s 56 tok/s 31 tok/s | ~4.5s ~4.5s ~4.5s | |
#228 | Falcon-180B | 180B | INT4 | 5 tok/s | ~125.2s | |
#229 | Gemma 1 7B | 7B | INT4 Q8 FP16 | 66 tok/s 48 tok/s 29 tok/s | ~4.3s ~4.4s ~4.4s | |
#230 | Gemma 1 2B | 2B | INT4 Q8 FP16 | 183 tok/s 139 tok/s 91 tok/s | ~1.4s ~1.4s ~1.4s | |
#231 | ChatGLM3-6B | 6B | INT4 Q8 FP16 | 73 tok/s 54 tok/s 33 tok/s | ~3.7s ~3.8s ~3.8s | |
#232 | ChatGLM2-6B | 6B | INT4 Q8 FP16 | 73 tok/s 54 tok/s 33 tok/s | ~3.7s ~3.8s ~3.8s | |
#233 | ChatGLM-6B | 6B | INT4 Q8 FP16 | 73 tok/s 54 tok/s 33 tok/s | ~3.7s ~3.8s ~3.8s | |
Unranked Models (Sorted by Speed) | ||||||
- | Qwen2-0.5B | 0.5B | INT4 Q8 FP16 | 257 tok/s 231 tok/s 189 tok/s | ~338 ms ~339 ms ~340 ms | |
- | Qwen2.5-0.5B | 0.5B | INT4 Q8 FP16 | 257 tok/s 231 tok/s 189 tok/s | ~338 ms ~339 ms ~340 ms | |
- | ERNIE-4.5-0.3B | 0.3B | INT4 Q8 FP16 | 254 tok/s 239 tok/s 210 tok/s | ~204 ms ~204 ms ~205 ms | |
- | ERNIE-4.5-0.3B-Base | 0.3B | INT4 Q8 FP16 | 254 tok/s 239 tok/s 210 tok/s | ~204 ms ~204 ms ~205 ms | |
- | Falcon-1B | 1B | INT4 Q8 FP16 | 228 tok/s 190 tok/s 139 tok/s | ~699 ms ~700 ms ~702 ms | |
- | Falcon3-1B | 1B | INT4 Q8 FP16 | 220 tok/s 185 tok/s 137 tok/s | ~699 ms ~700 ms ~702 ms | |
- | Qwen2-1.5B | 1.5B | INT4 Q8 FP16 | 195 tok/s 156 tok/s 108 tok/s | ~1.0s ~1.0s ~1.0s | |
- | Qwen2.5-1.5B | 1.5B | INT4 Q8 FP16 | 195 tok/s 156 tok/s 108 tok/s | ~1.0s ~1.0s ~1.0s | |
- | Spark X2.5 1.7B | 1.7B | INT4 Q8 FP16 | 186 tok/s 146 tok/s 99 tok/s | ~1.2s ~1.2s ~1.2s | |
- | Hy-MT2 1.8B | 1.8B | INT4 Q8 FP16 | 182 tok/s 142 tok/s 95 tok/s | ~1.2s ~1.2s ~1.2s | |
- | Falcon-3B | 3B | INT4 Q8 FP16 | 153 tok/s 109 tok/s 67 tok/s | ~1.9s ~1.9s ~2.0s | |
- | CroissantLLM Base | 1.3B | INT4 Q8 FP16 | 151 tok/s 132 tok/s 99 tok/s | ~893 ms ~894 ms ~896 ms | |
- | Phi-1 | 1.3B | INT4 Q8 FP16 | 151 tok/s 132 tok/s 99 tok/s | ~893 ms ~894 ms ~896 ms | |
- | Phi-1.5 | 1.3B | INT4 Q8 FP16 | 151 tok/s 132 tok/s 99 tok/s | ~893 ms ~894 ms ~896 ms | |
- | DeepSeek-R1 3B | 3B | INT4 Q8 FP16 | 148 tok/s 107 tok/s 66 tok/s | ~1.9s ~1.9s ~2.0s | |
- | Falcon3-3B | 3B | INT4 Q8 FP16 | 147 tok/s 106 tok/s 66 tok/s | ~1.9s ~1.9s ~2.0s | |
- | Qwen2.5-3B | 3B | INT4 Q8 FP16 | 147 tok/s 106 tok/s 66 tok/s | ~1.9s ~1.9s ~2.0s | |
- | ERNIE-4.5-21B-A3B | 21B (3B active) | INT4 Q8 FP16 | 132 tok/s 99 tok/s 63 tok/s | ~2.4s ~2.4s ~2.4s | |
- | ERNIE-4.5-21B-A3B-Base | 21B (3B active) | INT4 Q8 FP16 | 132 tok/s 99 tok/s 63 tok/s | ~2.4s ~2.4s ~2.4s | |
- | ERNIE-4.5-VL-28B-A3B | 28B (3B active) | INT4 Q8 FP16 | 128 tok/s 97 tok/s 62 tok/s | ~2.5s ~2.5s ~2.5s | |
- | ERNIE-4.5-VL-28B-A3B-Base | 28B (3B active) | INT4 Q8 FP16 | 128 tok/s 97 tok/s 62 tok/s | ~2.5s ~2.5s ~2.5s | |
- | Hy-MT2 30B A3B | 30B (3B active) | INT4 Q8 FP16 | 127 tok/s 96 tok/s 62 tok/s | ~2.5s ~2.5s ~2.6s | |
- | Spark X2.5 4B | 4B | INT4 Q8 FP16 | 127 tok/s 88 tok/s 53 tok/s | ~2.5s ~2.5s ~2.6s | |
- | Phi-2 | 2.7B | INT4 Q8 FP16 | 110 tok/s 89 tok/s 61 tok/s | ~1.8s ~1.8s ~1.8s | |
- | MaLLaM-3B | 3B | INT4 Q8 FP16 | 105 tok/s 84 tok/s 57 tok/s | ~1.9s ~2.0s ~2.0s | |
- | SmolLM3 3B | 3B | INT4 Q8 FP16 | 105 tok/s 84 tok/s 57 tok/s | ~1.9s ~2.0s ~2.0s | |
- | AliceAI Foundation 80B A3B Base | 80B (3B active) | INT4 Q8 | 104 tok/s 79 tok/s | ~3.5s ~3.8s | |
- | Falcon-7B | 7B | INT4 Q8 FP16 | 93 tok/s 59 tok/s 33 tok/s | ~4.3s ~4.3s ~4.4s | |
- | Falcon3-7B | 7B | INT4 Q8 FP16 | 90 tok/s 58 tok/s 33 tok/s | ~4.3s ~4.4s ~4.4s | |
- | Hy-MT2 7B | 7B | INT4 Q8 FP16 | 90 tok/s 58 tok/s 33 tok/s | ~4.3s ~4.4s ~4.4s | |
- | Mistral-7B-v0.1 | 7.3B | INT4 Q8 FP16 | 87 tok/s 56 tok/s 31 tok/s | ~4.5s ~4.5s ~4.5s | |
- | LensVLM 9B | 9B | INT4 Q8 FP16 | 75 tok/s 47 tok/s 26 tok/s | ~5.6s ~5.6s ~5.6s | |
- | MiMo V2.6 Distill Qwen 9B | 9B | INT4 Q8 FP16 | 75 tok/s 47 tok/s 26 tok/s | ~5.6s ~5.6s ~5.6s | |
- | ChatGLM3-6B-32K | 6B | INT4 Q8 FP16 | 73 tok/s 54 tok/s 33 tok/s | ~3.7s ~3.8s ~3.8s | |
- | Yi-6B | 6B | INT4 Q8 FP16 | 73 tok/s 54 tok/s 33 tok/s | ~3.7s ~3.8s ~3.8s | |
- | Falcon3-10B | 10B | INT4 Q8 FP16 | 69 tok/s 43 tok/s 24 tok/s | ~6.2s ~6.2s ~6.2s | |
- | Kimi-VL-A3B-Instruct | 16B (3B active) | INT4 Q8 FP16 | 69 tok/s 61 tok/s 45 tok/s | ~2.3s ~2.3s ~2.3s | |
- | Falcon2-11B | 11B | INT4 Q8 FP16 | 67 tok/s 41 tok/s 22 tok/s | ~6.8s ~6.8s ~6.8s | |
- | Hunyuan Lite | 7B | INT4 Q8 FP16 | 66 tok/s 48 tok/s 29 tok/s | ~4.3s ~4.4s ~4.4s | |
- | OLMo 3 7B Base | 7B | INT4 Q8 FP16 | 66 tok/s 48 tok/s 29 tok/s | ~4.3s ~4.4s ~4.4s | |
- | SEA-LION-7B | 7.1B | INT4 Q8 FP16 | 66 tok/s 48 tok/s 29 tok/s | ~4.4s ~4.4s ~4.4s | |
- | SEA-LION-7B-Instruct | 7.1B | INT4 Q8 FP16 | 66 tok/s 48 tok/s 29 tok/s | ~4.4s ~4.4s ~4.4s | |
- | Sahabat-AI-Llama3-8B-Instruct | 8B | INT4 Q8 FP16 | 61 tok/s 43 tok/s 26 tok/s | ~4.9s ~5.0s ~5.0s | |
- | Typhoon-2-8B | 8B | INT4 Q8 FP16 | 61 tok/s 43 tok/s 26 tok/s | ~4.9s ~5.0s ~5.0s | |
- | Laguna S 2.1 | 118B (8B active) | INT4 | 60 tok/s | ~7.3s | |
- | GLM-4-9B | 9B | INT4 Q8 FP16 | 56 tok/s 39 tok/s 23 tok/s | ~5.6s ~5.6s ~5.6s | |
- | GLM-4-9B-Chat | 9B | INT4 Q8 FP16 | 56 tok/s 39 tok/s 23 tok/s | ~5.6s ~5.6s ~5.6s | |
- | GLM-4-9B-Chat-1M | 9B | INT4 Q8 FP16 | 56 tok/s 39 tok/s 23 tok/s | ~5.6s ~5.6s ~5.6s | |
- | Yi-9B | 9B | INT4 Q8 FP16 | 56 tok/s 39 tok/s 23 tok/s | ~5.6s ~5.6s ~5.6s | |
- | Sahabat-AI-Gemma2-9B | 9.2B | INT4 Q8 FP16 | 55 tok/s 39 tok/s 23 tok/s | ~5.7s ~5.7s ~5.7s | |
- | Sahabat-AI-Gemma2-9B-Instruct | 9.2B | INT4 Q8 FP16 | 55 tok/s 39 tok/s 23 tok/s | ~5.7s ~5.7s ~5.7s | |
- | GreenMind-14B-R1 | 14B | INT4 Q8 FP16 | 40 tok/s 27 tok/s 16 tok/s | ~8.6s ~8.6s ~8.6s | |
- | Hunyuan A13B | 80B (13B active) | INT4 Q8 | 24 tok/s 17 tok/s | ~9.3s ~10.9s | |
- | Falcon-40B | 40B | INT4 Q8 FP16 | 22 tok/s 12 tok/s 6 tok/s | ~24.0s ~24.0s ~26.1s | |
- | Kimi-Dev-72B | 72B | INT4 Q8 | 10 tok/s 6 tok/s | ~43.0s ~46.9s | |
- | Typhoon-2-70B | 70B | INT4 Q8 | 10 tok/s 6 tok/s | ~41.8s ~45.5s | |
- | GLM-130B | 130B | INT4 | 5 tok/s | ~84.4s | |
Inference Capacity
Maximum model parameter class runnable by weight precision.
Context:
4-bit
70B+ Models
8-bit
70B Models
16-bit
32B Models
Fine-Tuning Capacity
Hardware capacity for local training and adapter fine-tuning.
Context Length:
QLoRA
70B+ Models
LoRA
70B Models
Full Parameter Training
7B-8B Models
Workload Recommendations
Guidance for optimal precision and operational ceilings on Apple M5 Max (128GB).
Inference Sweet Spot
Suitable for 70B parameter models at Q4/Q8 with extended 32k context windows, or high-throughput batching of smaller dense architectures.
Bandwidth & Speed Profile
With 614 GB/s aggregate bandwidth, batch size 1 inference operates in a memory-bandwidth bound regime. Generates approximately 136 tok/s on an 8B Q4 model and 16 tok/s on a 70B Q4 model.
Unified Memory Budget
Modeled with a 75% usable allocation budget to preserve system RAM for macOS and display compositor processes.
Frequently Asked Questions
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