What are the best models to run on Apple M5 Pro (48GB)?

Based on model rankings and 36 GB usable VRAM: Top Overall: Qwen 3.8 27B (INT4) ~16 tok/s. Top Coding: Muse Glimmer 30B (INT4) ~15 tok/s. Optimal Daily Driver: Phi-4 Reasoning Plus (INT4) ~21 tok/s. Maximum Model Size: DeepSeek-R1 70B (INT4) ~6 tok/s.

How are VRAM, throughput, and latency calculated?

Calculations are determined using apxml.com modeling, combining LLM architecture analysis with GPU hardware physics. VRAM and Context Scaling: Memory requirements are determined from model architecture, including parameter count, layer configuration, and attention structure. The KV cache footprint scales deterministically based on context length, batch size, and cache precision. Throughput (TPS): Token generation is calculated in the memory-bandwidth-bound decode phase, measuring the time required to stream model weights and KV cache relative to hardware memory bandwidth. Latency (TTFT): Time to first token is calculated from the compute operations required during prompt prefill relative to hardware tensor compute capacity.

How accurate are these estimates?

Calculations are calibrated against empirical ground-truth benchmark runs across diverse architectures and hardware. Because the underlying mechanics are benchmark-calibrated, estimates remain accurate across different configurations without needing to run physical tests for every scenario. VRAM Accuracy: Memory estimates are deterministic and closely match actual allocation. Minor differences typically stay within 3% to 5% due to CUDA runtime overhead or memory allocator fragmentation. Speed and Latency Accuracy: Throughput and TTFT typically vary within 5% to 10% depending on the specific inference runtime, kernel implementations, and system power limits.

Best LLMs to Run on Apple M5 Pro (48GB)

Rank	Model	Parameters	Precision	TPS (Approx.)	TTFT
#36	Qwen 3.8 27B	27B	INT4 Q8	16 tok/s 9 tok/s	~32.6s ~35.5s
#80	K2 Horizon MoVA 36B A4B	36B (4B active)	INT4 Q8	67 tok/s 42 tok/s	~6.4s ~7.5s
#86	Qwen3.5-27B	27B	INT4 Q8	16 tok/s 9 tok/s	~32.6s ~35.5s
#93	Sarvam-30B	32B (2.4B active)	INT4 Q8	88 tok/s 62 tok/s	~4.4s ~4.8s
#99	Muse Glimmer 30B	30B	INT4 Q8	15 tok/s 8 tok/s	~36.1s ~39.3s
#102	Phi-4 Reasoning Plus	14B	INT4 Q8 FP16	21 tok/s 14 tok/s 8 tok/s	~17.1s ~17.2s ~18.7s
#103	Qwen3.6 35B A3B	35B (3B active)	INT4 Q8	79 tok/s 51 tok/s	~5.2s ~6.1s
#105	MiMo V2 Flash	15B (309B active)	INT4 Q8 FP16	2 tok/s 1 tok/s 1 tok/s	~356.5s ~357.0s ~421.2s
#110	Gemma 4 26B A4B	25.2B (3.8B active)	INT4 Q8	72 tok/s 49 tok/s	~5.8s ~5.8s
#120	Qwen3.5-35B-A3B	35B (3B active)	INT4 Q8	79 tok/s 51 tok/s	~5.2s ~6.1s
#121	Qwen3.5-9B	9B	INT4 Q8 FP16	43 tok/s 26 tok/s 14 tok/s	~11.1s ~11.1s ~11.1s
#127	K2 Horizon 7B	7B	INT4 Q8 FP16	53 tok/s 32 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
#130	Gemma 4 12B	11.95B	INT4 Q8 FP16	24 tok/s 16 tok/s 9 tok/s	~14.7s ~14.7s ~14.7s
#136	Qwen3.5-4B	4B	INT4 Q8 FP16	80 tok/s 52 tok/s 29 tok/s	~5.1s ~5.1s ~5.1s
#139	GPT-OSS 20B	21B (3.6B active)	INT4 Q8	34 tok/s 29 tok/s	~5.5s ~5.5s
#140	GLM-4V	9B	INT4 Q8 FP16	31 tok/s 21 tok/s 12 tok/s	~11.1s ~11.1s ~11.2s
#145	NVIDIA Nemotron 3 Nano 30B-A3B	3.5B (30B active)	INT4 Q8 FP16	14 tok/s 8 tok/s 4 tok/s	~35.0s ~35.0s ~35.1s
#150	Qwen3-30B-A3B	30B (3B active)	INT4 Q8	80 tok/s 54 tok/s	~5.1s ~5.5s
#152	Granite 4.2 8B	8B	INT4 Q8 FP16	47 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
#157	Gemma 4 E4B	8B	INT4 Q8 FP16	47 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
#158	Mistral Large 3	41B (675B active)	INT4	1 tok/s	~845.9s
#161	GLM-4	32B	INT4	11 tok/s	~38.5s
#162	DeepSeek-R1 70B	70B	INT4	6 tok/s	~98.3s
#163	Gemma 3 27B	27B	INT4 Q8	16 tok/s 9 tok/s	~32.6s ~35.5s
#164	Phi-4	14B	INT4 Q8 FP16	29 tok/s 17 tok/s 8 tok/s	~17.1s ~17.2s ~18.7s
#165	Llama 3.3 70B	70B	INT4	6 tok/s	~98.3s
#166	Qwen3-32B	32B	INT4 Q8	14 tok/s 7 tok/s	~38.5s ~41.9s
#167	Hunyuan Standard	52B (389B active)	INT4	1 tok/s	~528.9s
#168	DeepSeek-R1 32B	32B	INT4 Q8	14 tok/s 7 tok/s	~38.5s ~41.9s
#169	Gemma 4 31B	30.7B	INT4 Q8	14 tok/s 8 tok/s	~36.9s ~40.2s
#171	Magistral Small	24B	INT4 Q8	14 tok/s 8 tok/s	~29.1s ~31.6s
#172	Qwen2.5-32B	32B	INT4 Q8	14 tok/s 7 tok/s	~38.5s ~41.9s
#174	OLMo 3.1 32B Instruct	32B	INT4	11 tok/s	~38.5s
#175	Llama 3.1 70B	70B	INT4	6 tok/s	~98.3s
#176	DeepSeek-R1 14B	14B	INT4 Q8 FP16	30 tok/s 17 tok/s 9 tok/s	~17.1s ~17.2s ~18.7s
#177	Ministral 3 14B	14B	INT4 Q8 FP16	21 tok/s 14 tok/s 8 tok/s	~17.1s ~17.2s ~18.7s
#180	Gemma 3 12B	12B	INT4 Q8 FP16	33 tok/s 20 tok/s 10 tok/s	~14.7s ~14.7s ~14.8s
#184	Mistral-Small-2501	24B	INT4 Q8	18 tok/s 10 tok/s	~29.0s ~29.1s
#185	Ministral 3 8B	8B	INT4 Q8 FP16	34 tok/s 23 tok/s 14 tok/s	~9.9s ~9.9s ~9.9s
#186	Gemma 2 27B	27B	INT4 Q8	16 tok/s 9 tok/s	~32.6s ~35.5s
#187	OLMo 3 7B Think	7B	INT4 Q8 FP16	37 tok/s 26 tok/s 15 tok/s	~8.7s ~8.7s ~8.7s
#188	Qwen3.5-2B	2B	INT4 Q8 FP16	122 tok/s 86 tok/s 52 tok/s	~2.7s ~2.7s ~2.7s
#189	MiniCPM5-2B	2B	INT4 Q8 FP16	122 tok/s 86 tok/s 52 tok/s	~2.7s ~2.7s ~2.7s
#190	Qwen2.5-14B	14B	INT4 Q8 FP16	29 tok/s 17 tok/s 8 tok/s	~17.1s ~17.2s ~18.7s
#191	OLMo 3.1 32B Think	32B	INT4	11 tok/s	~38.5s
#192	Llama 3 70B	70B	INT4	6 tok/s	~98.3s
#193	Gemma 4 E2B	5.1B	INT4 Q8 FP16	67 tok/s 42 tok/s 23 tok/s	~6.4s ~6.4s ~6.4s
#195	Ministral 3 3B	3B	INT4 Q8 FP16	64 tok/s 49 tok/s 31 tok/s	~3.9s ~3.9s ~3.9s
#196	DeepSeek-R1 8B	8B	INT4 Q8 FP16	49 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
#198	Gemma 2 9B	9B	INT4 Q8 FP16	43 tok/s 26 tok/s 14 tok/s	~11.1s ~11.1s ~11.1s
#199	Nemotron 3.5 Lightning 30B A3B	30B (3B active)	INT4 Q8	80 tok/s 54 tok/s	~5.1s ~5.5s
#200	Kimi Linear 48B A3B Instruct	48B (3B active)	INT4	24 tok/s	~6.0s
#201	Qwen3-4B	4B	INT4 Q8 FP16	80 tok/s 52 tok/s 29 tok/s	~5.1s ~5.1s ~5.1s
#202	Qwen3-14B	14B	INT4 Q8 FP16	29 tok/s 17 tok/s 8 tok/s	~17.1s ~17.2s ~18.7s
#203	Gemma 3 4B	4B	INT4 Q8 FP16	80 tok/s 52 tok/s 29 tok/s	~5.1s ~5.1s ~5.1s
#204	DeepSeek-R1 7B	7B	INT4 Q8 FP16	54 tok/s 33 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
#205	OLMo 3 32B Base	32B	INT4	11 tok/s	~38.5s
#206	Qwen3.5-0.8B	0.8B	INT4 Q8 FP16	190 tok/s 151 tok/s 103 tok/s	~1.1s ~1.1s ~1.1s
#207	Llama 3.1 8B	8B	INT4 Q8 FP16	47 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
#207	Qwen3-8B	8B	INT4 Q8 FP16	47 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
#210	Nemotron 3.5 Lightning	30B (3B active)	INT4 Q8	30 tok/s 25 tok/s	~5.1s ~6.0s
#211	Command R	35B	INT4	10 tok/s	~42.0s
#212	Llama 3 8B	8B	INT4 Q8 FP16	47 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
#213	Qwen3-1.7B	1.7B	INT4 Q8 FP16	134 tok/s 96 tok/s 59 tok/s	~2.3s ~2.3s ~2.3s
#214	Gemma 3 270M	0.27B	INT4 Q8 FP16	226 tok/s 206 tok/s 170 tok/s	~359 ms ~359 ms ~360 ms
#216	Qwen3-0.6B	0.6B	INT4 Q8 FP16	211 tok/s 173 tok/s 124 tok/s	~806 ms ~808 ms ~810 ms
#217	Phi-4-Mini	3.8B	INT4 Q8 FP16	83 tok/s 54 tok/s 30 tok/s	~4.8s ~4.8s ~4.9s
#218	Qwen2.5-7B	7B	INT4 Q8 FP16	53 tok/s 32 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
#219	Mixtral-8x7B-v0.1	46.7B (7B active)	INT4	46 tok/s	~10.1s
#220	Ministral-8B-2410	8B	INT4 Q8 FP16	47 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
#221	DeepSeek-R1 1.5B	1.5B	INT4 Q8 FP16	143 tok/s 105 tok/s 65 tok/s	~2.0s ~2.0s ~2.0s
#222	Llama 3.2 3B	3B	INT4 Q8 FP16	97 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
#223	Phi-3-mini	3.8B	INT4 Q8 FP16	83 tok/s 54 tok/s 30 tok/s	~4.8s ~4.8s ~4.9s
#224	Gemma 3n E2B IT	6B (2B active)	INT4 Q8 FP16	64 tok/s 54 tok/s 38 tok/s	~2.9s ~2.9s ~2.9s
#225	Gemma 2 2B	2B	INT4 Q8 FP16	122 tok/s 86 tok/s 52 tok/s	~2.7s ~2.7s ~2.7s
#226	Mistral-7B-Instruct-v0.1	7.3B	INT4 Q8 FP16	51 tok/s 31 tok/s 17 tok/s	~9.0s ~9.0s ~9.1s
#227	Llama 3.2 1B	1B	INT4 Q8 FP16	172 tok/s 133 tok/s 88 tok/s	~1.4s ~1.4s ~1.4s
#228	Phi-3-medium	14B	INT4 Q8 FP16	29 tok/s 17 tok/s 8 tok/s	~17.1s ~17.2s ~18.7s
#229	Yi-34B	34B	INT4	10 tok/s	~40.9s
#230	OLMo 3 7B Instruct	7B	INT4 Q8 FP16	37 tok/s 26 tok/s 15 tok/s	~8.7s ~8.7s ~8.7s
#231	Qwen2-7B	7B	INT4 Q8 FP16	53 tok/s 32 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
#232	Phi-3-small	7B	INT4 Q8 FP16	53 tok/s 32 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
#233	Mistral-7B-Instruct-v0.2	7.3B	INT4 Q8 FP16	51 tok/s 31 tok/s 17 tok/s	~9.0s ~9.0s ~9.1s
#234	Gemma 3 1B	1B	INT4 Q8 FP16	172 tok/s 133 tok/s 88 tok/s	~1.4s ~1.4s ~1.4s
#236	Gemma 1 7B	7B	INT4 Q8 FP16	37 tok/s 26 tok/s 15 tok/s	~8.7s ~8.7s ~8.7s
#237	Gemma 1 2B	2B	INT4 Q8 FP16	131 tok/s 90 tok/s 53 tok/s	~2.7s ~2.7s ~2.7s
#238	ChatGLM3-6B	6B	INT4 Q8 FP16	42 tok/s 30 tok/s 18 tok/s	~7.5s ~7.5s ~7.5s
#239	ChatGLM2-6B	6B	INT4 Q8 FP16	42 tok/s 30 tok/s 18 tok/s	~7.5s ~7.5s ~7.5s
#240	ChatGLM-6B	6B	INT4 Q8 FP16	42 tok/s 30 tok/s 18 tok/s	~7.5s ~7.5s ~7.5s
Unranked Models (Sorted by Speed)
-	DINOv3 ViT-L/16	0.3B	INT4 Q8 FP16	250 tok/s 221 tok/s 176 tok/s	~399 ms ~400 ms ~401 ms
-	Qwen2-0.5B	0.5B	INT4 Q8 FP16	223 tok/s 187 tok/s 137 tok/s	~668 ms ~669 ms ~671 ms
-	Qwen2.5-0.5B	0.5B	INT4 Q8 FP16	223 tok/s 187 tok/s 137 tok/s	~668 ms ~669 ms ~671 ms
-	ERNIE-4.5-0.3B	0.3B	INT4 Q8 FP16	218 tok/s 198 tok/s 161 tok/s	~400 ms ~400 ms ~401 ms
-	ERNIE-4.5-0.3B-Base	0.3B	INT4 Q8 FP16	218 tok/s 198 tok/s 161 tok/s	~400 ms ~400 ms ~401 ms
-	Liquid D1-Omni 600M	0.6B	INT4 Q8 FP16	211 tok/s 173 tok/s 124 tok/s	~806 ms ~808 ms ~810 ms
-	Falcon-1B	1B	INT4 Q8 FP16	182 tok/s 138 tok/s 90 tok/s	~1.4s ~1.4s ~1.4s
-	Falcon3-1B	1B	INT4 Q8 FP16	172 tok/s 133 tok/s 88 tok/s	~1.4s ~1.4s ~1.4s
-	MiniCPM-V 4.7 1B	1B	INT4 Q8 FP16	172 tok/s 133 tok/s 88 tok/s	~1.4s ~1.4s ~1.4s
-	Qwen2-1.5B	1.5B	INT4 Q8 FP16	143 tok/s 105 tok/s 65 tok/s	~2.0s ~2.0s ~2.0s
-	Qwen2.5-1.5B	1.5B	INT4 Q8 FP16	143 tok/s 105 tok/s 65 tok/s	~2.0s ~2.0s ~2.0s
-	Spark X2.5 1.7B	1.7B	INT4 Q8 FP16	134 tok/s 96 tok/s 59 tok/s	~2.3s ~2.3s ~2.3s
-	Hy-MT2 1.8B	1.8B	INT4 Q8 FP16	130 tok/s 93 tok/s 57 tok/s	~2.4s ~2.4s ~2.4s
-	Falcon-3B	3B	INT4 Q8 FP16	103 tok/s 67 tok/s 38 tok/s	~3.9s ~3.9s ~3.9s
-	CroissantLLM Base	1.3B	INT4 Q8 FP16	101 tok/s 84 tok/s 59 tok/s	~1.8s ~1.8s ~1.8s
-	Phi-1	1.3B	INT4 Q8 FP16	101 tok/s 84 tok/s 59 tok/s	~1.8s ~1.8s ~1.8s
-	Phi-1.5	1.3B	INT4 Q8 FP16	101 tok/s 84 tok/s 59 tok/s	~1.8s ~1.8s ~1.8s
-	DeepSeek-R1 3B	3B	INT4 Q8 FP16	98 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
-	Mellum 2.1 12B A2.5B Thinking	12B (2.5B active)	INT4 Q8 FP16	98 tok/s 69 tok/s 42 tok/s	~3.8s ~3.8s ~3.8s
-	Falcon3-3B	3B	INT4 Q8 FP16	97 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
-	LFM2-VL 3B	3B	INT4 Q8 FP16	97 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
-	Liquid D1 3B	3B	INT4 Q8 FP16	97 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
-	Liquid D1-VL 3B	3B	INT4 Q8 FP16	97 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
-	Liquid LFM2-VL 3B D1	3B	INT4 Q8 FP16	97 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
-	Qwen2.5-3B	3B	INT4 Q8 FP16	97 tok/s 65 tok/s 37 tok/s	~3.9s ~3.9s ~3.9s
-	LFM2.5 24B A2B	24B (2.5B active)	INT4 Q8	90 tok/s 66 tok/s	~4.3s ~4.3s
-	ERNIE-4.5-21B-A3B	21B (3B active)	INT4 Q8	84 tok/s 59 tok/s	~4.8s ~4.8s
-	ERNIE-4.5-21B-A3B-Base	21B (3B active)	INT4 Q8	84 tok/s 59 tok/s	~4.8s ~4.8s
-	ERNIE-4.5-VL-28B-A3B	28B (3B active)	INT4 Q8	81 tok/s 55 tok/s	~5.0s ~5.4s
-	ERNIE-4.5-VL-28B-A3B-Base	28B (3B active)	INT4 Q8	81 tok/s 55 tok/s	~5.0s ~5.4s
-	FrogNano 4B	4B	INT4 Q8 FP16	80 tok/s 52 tok/s 29 tok/s	~5.1s ~5.1s ~5.1s
-	Hy-Memory 30B A3B	30B (3B active)	INT4 Q8	80 tok/s 54 tok/s	~5.1s ~5.5s
-	Hy-MT2 30B A3B	30B (3B active)	INT4 Q8	80 tok/s 54 tok/s	~5.1s ~5.5s
-	Spark X2.5 4B	4B	INT4 Q8 FP16	80 tok/s 52 tok/s 29 tok/s	~5.1s ~5.1s ~5.1s
-	MiniCPM-V 4.7 35B A3B	35B (3B active)	INT4 Q8	79 tok/s 51 tok/s	~5.2s ~6.1s
-	EmbeddingGemma 2	2B	INT4 Q8 FP16	77 tok/s 62 tok/s 42 tok/s	~2.7s ~2.7s ~2.7s
-	Phi-2	2.7B	INT4 Q8 FP16	67 tok/s 52 tok/s 34 tok/s	~3.5s ~3.5s ~3.5s
-	MaLLaM-3B	3B	INT4 Q8 FP16	64 tok/s 49 tok/s 31 tok/s	~3.9s ~3.9s ~3.9s
-	SmolLM3 3B	3B	INT4 Q8 FP16	64 tok/s 49 tok/s 31 tok/s	~3.9s ~3.9s ~3.9s
-	Falcon-7B	7B	INT4 Q8 FP16	55 tok/s 33 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
-	Falcon3-7B	7B	INT4 Q8 FP16	53 tok/s 32 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
-	Hy-MT2 7B	7B	INT4 Q8 FP16	53 tok/s 32 tok/s 17 tok/s	~8.7s ~8.7s ~8.7s
-	Mistral-7B-v0.1	7.3B	INT4 Q8 FP16	51 tok/s 31 tok/s 17 tok/s	~9.0s ~9.0s ~9.1s
-	Youtu Parsing Omni	8B	INT4 Q8 FP16	49 tok/s 29 tok/s 15 tok/s	~9.9s ~9.9s ~9.9s
-	LensVLM 9B	9B	INT4 Q8 FP16	43 tok/s 26 tok/s 14 tok/s	~11.1s ~11.1s ~11.1s
-	MiMo V2.6 Distill Qwen 9B	9B	INT4 Q8 FP16	43 tok/s 26 tok/s 14 tok/s	~11.1s ~11.1s ~11.1s
-	ChatGLM3-6B-32K	6B	INT4 Q8 FP16	42 tok/s 30 tok/s 18 tok/s	~7.5s ~7.5s ~7.5s
-	Yi-6B	6B	INT4 Q8 FP16	42 tok/s 30 tok/s 18 tok/s	~7.5s ~7.5s ~7.5s
-	Falcon3-10B	10B	INT4 Q8 FP16	39 tok/s 23 tok/s 12 tok/s	~12.3s ~12.3s ~12.3s
-	Kimi-VL-A3B-Instruct	16B (3B active)	INT4 Q8 FP16	39 tok/s 34 tok/s 22 tok/s	~4.6s ~4.6s ~5.4s
-	Falcon2-11B	11B	INT4 Q8 FP16	38 tok/s 22 tok/s 11 tok/s	~13.5s ~13.5s ~13.6s
-	Hunyuan Lite	7B	INT4 Q8 FP16	37 tok/s 26 tok/s 15 tok/s	~8.7s ~8.7s ~8.7s
-	OLMo 3 7B Base	7B	INT4 Q8 FP16	37 tok/s 26 tok/s 15 tok/s	~8.7s ~8.7s ~8.7s
-	SEA-LION-7B	7.1B	INT4 Q8 FP16	37 tok/s 26 tok/s 15 tok/s	~8.8s ~8.8s ~8.8s
-	SEA-LION-7B-Instruct	7.1B	INT4 Q8 FP16	37 tok/s 26 tok/s 15 tok/s	~8.8s ~8.8s ~8.8s
-	Sahabat-AI-Llama3-8B-Instruct	8B	INT4 Q8 FP16	34 tok/s 23 tok/s 14 tok/s	~9.9s ~9.9s ~9.9s
-	Typhoon-2-8B	8B	INT4 Q8 FP16	34 tok/s 23 tok/s 14 tok/s	~9.9s ~9.9s ~9.9s
-	GLM-4-9B	9B	INT4 Q8 FP16	31 tok/s 21 tok/s 12 tok/s	~11.1s ~11.1s ~11.2s
-	GLM-4-9B-Chat	9B	INT4 Q8 FP16	31 tok/s 21 tok/s 12 tok/s	~11.1s ~11.1s ~11.2s
-	GLM-4-9B-Chat-1M	9B	INT4 Q8 FP16	31 tok/s 21 tok/s 12 tok/s	~11.1s ~11.1s ~11.2s
-	Yi-9B	9B	INT4 Q8 FP16	31 tok/s 21 tok/s 12 tok/s	~11.1s ~11.1s ~11.2s
-	Sahabat-AI-Gemma2-9B	9.2B	INT4 Q8 FP16	30 tok/s 21 tok/s 12 tok/s	~11.3s ~11.4s ~11.4s
-	Sahabat-AI-Gemma2-9B-Instruct	9.2B	INT4 Q8 FP16	30 tok/s 21 tok/s 12 tok/s	~11.3s ~11.4s ~11.4s
-	GreenMind-14B-R1	14B	INT4 Q8 FP16	21 tok/s 14 tok/s 8 tok/s	~17.1s ~17.2s ~18.7s
-	AREX-2	27B	INT4 Q8	16 tok/s 9 tok/s	~32.6s ~35.5s
-	PPLX Decider v1 27B	27B	INT4 Q8	16 tok/s 9 tok/s	~32.6s ~35.5s
-	PPLX Decider v1.1 27B	27B	INT4 Q8	16 tok/s 9 tok/s	~32.6s ~35.5s
-	Agnes 3.0 Flash	33B	INT4 Q8	13 tok/s 7 tok/s	~39.6s ~46.7s
-	Falcon-40B	40B	INT4	11 tok/s	~47.9s

Apple M5 Pro (48GB)

VRAM Scaling by Context Length

Best Models to Run on Apple M5 Pro (48GB)

Inference Capacity

Fine-Tuning Capacity

Workload Recommendations

Frequently Asked Questions