Products · Lenovo · Workstation

Lenovo ThinkStation P5 Workstation

Chips: 10 GPU options, from NVIDIA RTX A400 to NVIDIA RTX 6000 Ada Generation
VRAM: 4, 8, 12, 16, 20, 24 or 48 GB
Released: 2024

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration	Memory	Usable for AI	Bandwidth	LLMs that run well	Launch price
NVIDIA RTX A400	4.0 GB	4.0 GB	96 GB/s	215 of 622	—
NVIDIA T400	4.0 GB	4.0 GB	80 GB/s	215 of 622	—
NVIDIA RTX A1000	8.0 GB	8.0 GB	192 GB/s	338 of 622	—
NVIDIA T1000 8GB	8.0 GB	8.0 GB	160 GB/s	338 of 622	—
NVIDIA RTX A2000 12GB	12.0 GB	12.0 GB	288 GB/s	421 of 622	—
NVIDIA RTX 2000 Ada Generation	16.0 GB	16.0 GB	224 GB/s	455 of 622	—
NVIDIA RTX A4500	20.0 GB	20.0 GB	640 GB/s	461 of 622	—
NVIDIA RTX A5500	24.0 GB	24.0 GB	768 GB/s	466 of 622	—
NVIDIA RTX A6000	48.0 GB	48.0 GB	768 GB/s	516 of 622	—
NVIDIA RTX 6000 Ada Generation	48.0 GB	48.0 GB	960 GB/s	517 of 622	—

Specifications 12.0 GB configuration

Maker	Lenovo
Type	Workstation
Chip	NVIDIA RTX A2000 12GB
Video memory (VRAM)	12.0 GB
Usable for AI models	12.0 GB
Memory bandwidth	288 GB/s
FP16 compute	8.0 TFLOPS
Notes	Workstation with NVIDIA RTX professional graphics; each option below is a GPU you can configure. Listed on the NVIDIA Marketplace.
Product page	www.lenovo.com (opens in a new tab)

Best LLMs for the Lenovo ThinkStation P5 Workstation 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	K2 Horizon 7BInstitute of Foundation Models	`Q4_K_M`	7.9 GB	39.3 tok/s	Runs great
78Great quality (A) · 78 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 12BGoogle	`Q4_K_M`	9.2 GB	29.6 tok/s	Runs well
74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 87/100 (quality, fit, speed and memory use) sets the ranking.	SenseNova Loop 9B PreviewSenseTime	`Q4_K_M`	7.6 GB	36.6 tok/s	Runs great
74Great quality (A) · 74 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	MiMo V2.6 Distill Qwen 9BXiaomi	`Q4_K_M`	7.2 GB	37.6 tok/s	Runs great
70Great quality (A) · 70 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q8_0`	9.8 GB	40.0 tok/s	Runs great
73Great quality (A) · 73 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.5 9BDeepReinforce	`Q4_K_M`	7.4 GB	36.6 tok/s	Runs great
72Great quality (A) · 72 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 9BAlibaba	`Q4_K_M`	7.4 GB	36.6 tok/s	Runs great
68Good quality (B) · 68 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q8_0`	9.8 GB	40.0 tok/s	Runs great
71Great quality (A) · 71 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.0 9BDeepReinforce	`Q4_K_M`	7.4 GB	36.6 tok/s	Runs great
67Good quality (B) · 67 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	Mellum2.1 Thinking (12B-A2.5B)JetBrains	`Q5_K_M`	9.9 GB	82.9 tok/s	Runs great

Best Image models for the Lenovo ThinkStation P5 Workstation 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`FP8`	10.2 GB	5.2 s	Runs great
78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	`Q4 GGUF`	10.1 GB	17 s	Runs well
84Great quality (A) · 84 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q4 GGUF`	10.2 GB	39 s	Runs well
79Great quality (A) · 79 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-Image TurboBaidu	`Q4 GGUF`	11.3 GB	22 s	Runs welltight fit
78Great quality (A) · 78 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 9BBlack Forest Labs	`Q4 GGUF`	8.0 GB	13 s	Runs greatencoder in RAM
58Good quality (B) · 58 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.	DreamShaper XL v2 TurboLykon	`FP16`	8.9 GB	7.5 s	Runs great

Best Video models for the Lenovo ThinkStation P5 Workstation 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP8`	10.8 GB	2.2 min	Runs welltight fit
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP8`	11.0 GB	5.2 min	Runs welltight fit
53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 5BZhipu AI	`FP8`	9.6 GB	16.3 min	Slowencoder in RAM
53Fair quality (C) · 53 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 5B I2VZhipu AI	`FP8`	10.2 GB	16.3 min	Slowencoder in RAM
83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking.	Bernini-R A14B (video generation + editing)ByteDance	`FP8`	10.7 GB	80.9 min	Very slowtight fit · CPU offload

Best Decision models for the Lenovo ThinkStation P5 Workstation 12.0 GB

Quality	Model	Quant	Memory	Speed	Runs
86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3.5Jina AI	`F16`	2.6 GB	65 ms	Runs great
84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3Jina AI	`F16`	2.6 GB	65 ms	Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	FRIDA-DecisionsSber AI	`F16`	2.4 GB	50 ms	Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	GLiNER2.5 DecideFastino	`F16`	1.7 GB	31 ms	Runs great
80Great quality (A) · 80 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 0.6BAlibaba	`F16`	2.6 GB	65 ms	Runs great
76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Llama Prompt Guard 2 86MMeta	`F16`	1.2 GB	35 ms	Runs great
76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	mxbai-rerank-base v2Mixedbread	`F16`	2.2 GB	53 ms	Runs great
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	mxbai-rerank-large v2Mixedbread	`Q8_0`	2.9 GB	149 ms	Runs well

Other products with the NVIDIA RTX A2000 12GB

APEXX A3BOXX · Workstation · 12 GBProduct page (opens in a new tab)
Precision 3460 Small Form Factor WorkstationDell · Workstation · 4, 8, 12, 16 or 20 GBProduct page (opens in a new tab)
Precision 5860 Tower WorkstationDell · Workstation · 4, 8, 12, 16, 20, 24, 32, 40 or 48 GBProduct page (opens in a new tab)
Precision 7875 Tower WorkstationDell · Workstation · 4, 8, 12, 16, 20, 24, 32, 40 or 48 GBProduct page (opens in a new tab)
Precision 7960 Tower WorkstationDell · Workstation · 4, 8, 12, 16, 20, 24, 32, 40 or 48 GBProduct page (opens in a new tab)
Z2 Mini G9HP · Workstation · 4, 8, 12, 16 or 20 GBProduct page (opens in a new tab)
Z2 SFF G9HP · Workstation · 4, 8, 12, 16 or 20 GBProduct page (opens in a new tab)
Z2 Tower G9HP · Workstation · 4, 8, 12, 16, 20, 24 or 32 GBProduct page (opens in a new tab)
Z4 G5HP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
Z6 G5HP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
Z6 G5 AHP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)
Z8 Fury G5HP · Workstation · 4, 8, 12, 16, 20, 24, 32 or 48 GBProduct page (opens in a new tab)

Spec sources

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.