What AI models can the Intel Core i7-12700E / i9-12900E NAS (64 GB) run?

RAM: 64.0 GB
Usable for models: 54.4 GB
Memory bandwidth: 51 GB/s
Runs models on: CPU cores
Released: 2022

520 / 622 LLMs run Best: Qwen3.6 35B-A3B 61 / 61 Image models run Best: Krea 2 Turbo 42 / 43 Video models run Best: LTX-2.5 (22B, video + audio) 69 / 70 Decision models run Best: OpenAI Privacy Filter

A NAS with this chip runs models on its processor cores, so memory speed sets the pace: small models (about 1-4B) answer at a usable speed, bigger ones are slow. We plan around 54.4 GB for models, what is left after the NAS system and its storage services. Models run in a container (Docker) or the maker’s app store, and speeds assume the NAS isn’t busy with storage work.

More about this hardware

Maker	Intel
Type	NAS (network attached storage) processor
Share of memory for models	85% (what the NAS system and its storage services typically leave free at this size)
Chip	Intel Core i7-12700E / i9-12900E
AI accelerator	None. Models run on the processor cores.
NAS models with this chip	QNAP TVS-h874X · QNAP TVS-h874 · QNAP TVS-h874T
Memory type	System RAM, shared with the NAS operating system and its storage services
Bandwidth figure	51.2 GB/s, estimated, see the note below
Note	One profile for every NAS built on this chip. Memory speed is an estimate from the chip’s supported memory in a typical NAS fitting; a unit with one memory module runs slower than one with two. Speed assumes the NAS is not busy with storage work.
Specifications	www.qnap.com

Apps that run models well on the Intel Core i7-12700E / i9-12900E NAS (64 GB)

Linux

For a typical model that fits in memory. Each model page picks the best app for that model on this hardware. All apps

3 products with the Intel Core i7-12700E / i9-12900E NAS (64 GB)

TVS-h874XQNAP · NAS · 64 GBProduct page (opens in a new tab)
TVS-h874QNAP · NAS · 32 or 64 GBProduct page (opens in a new tab)
TVS-h874TQNAP · NAS · 32 or 64 GBProduct page (opens in a new tab)

Best LLMs for the Intel Core i7-12700E / i9-12900E NAS (64 GB)

Quality	Model	Quant	Memory	Speed	Runs
92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 35B-A3BAlibaba	`Q6_K`	34.6 GB	12.5 tok/s	Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 35B-A3BAlibaba	`Q6_K`	34.6 GB	12.5 tok/s	Runs well
92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking.	MiniCPM-V 4.7 35B-A3BOpenBMB	`Q6_K`	34.0 GB	12.5 tok/s	Runs well
91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Nex N2 Mini (35B-A3B)Nex-AGI	`Q6_K`	33.9 GB	12.5 tok/s	Runs well
90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Sage-A1.5 35B-A3BInternScience	`Q6_K`	34.6 GB	12.5 tok/s	Runs well
89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Ornith 1.5 35B-A3BDeepReinforce	`Q6_K`	34.6 GB	12.5 tok/s	Runs well
90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	KAT-Coder V2.5 Dev (35B-A3B)Kuaishou	`Q6_K`	33.5 GB	12.5 tok/s	Runs well
86Excellent quality (A+) · 86 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.	Kolibri 1 (78B-A3.5B)Aleph Alpha	`Q4_K_M`	52.8 GB	15.5 tok/s	Runs welltight fit
85Excellent quality (A+) · 85 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.	Flint (40B-A2.5B)Recursive	`Q4_K_M`	29.5 GB	21.1 tok/s	Runs well
81Great quality (A) · 81 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 Coder Next (80B-A3B)Alibaba	`Q4_K_M`	53.8 GB	17.8 tok/s	Runs welltight fit
95Excellent quality (A+) · 95 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.	Nanbeige4.3 33BBOSS Zhipin (Nanbeige)	`Q8_0`	41.8 GB	0.9 tok/s	Very slow
84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Apodex 1.1 Mini (35B-A3B)Apodex	`Q4_K_M`	27.0 GB	17.8 tok/s	Runs well

Best Image models for the Intel Core i7-12700E / i9-12900E NAS (64 GB)

Quality	Model	Quant	Memory	Speed	Runs
92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking.	Krea 2 TurboKrea	`FP16`	37.4 GB	5.2 min	Very slow
92Excellent quality (A+) · 92 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen-Image 2.1Alibaba	`Q8 GGUF`	41.6 GB	83.2 min	Very slow
84Great quality (A) · 84 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.	FLUX.2 [klein] 9BBlack Forest Labs	`FP16`	37.1 GB	2.2 min	Slow
89Excellent quality (A+) · 89 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Qwen-Image 2512Alibaba	`Q8 GGUF`	36.5 GB	2.1 h	Very slow
88Excellent quality (A+) · 88 of 100: how capable the model is at FP16, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-ImageBaidu	`FP16`	34.0 GB	26.5 min	Very slow
93Excellent quality (A+) · 93 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Fibo 2.0 DevBria AI	`FP16`	27.7 GB	27.1 min	Very slow

Best Video models for the Intel Core i7-12700E / i9-12900E NAS (64 GB)

Quality	Model	Quant	Memory	Speed	Runs
87Excellent quality (A+) · 87 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	LTX-2.5 (22B, video + audio)Lightricks	`Q8 GGUF`	49.8 GB	2.1 h	Very slowtight fit
85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	LTX-2.3Lightricks	`Q8 GGUF`	45.6 GB	9.2 h	Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Bernini-R A14B (video generation + editing)ByteDance	`FP16`	46.0 GB	14.5 h	Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 I2V A14BAlibaba	`Q8 GGUF`	39.3 GB	37.0 h	Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 T2V A14BAlibaba	`Q8 GGUF`	39.3 GB	37.0 h	Very slow

Best Decision models for the Intel Core i7-12700E / i9-12900E NAS (64 GB)

Quality	Model	Quant	Memory	Speed	Runs
78Great quality (A) · 78 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	OpenAI Privacy FilterOpenAI	`F16`	3.8 GB	45 ms	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.	Llama Prompt Guard 2 22MMeta	`Q8_0`	0.7 GB	105 ms	Runs great
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	GLiNER2.5 DecideFastino	`Q8_0`	1.2 GB	354 ms	Runs well
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3.5Jina AI	`Q8_0`	5.8 GB	812 ms	Slow
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 83/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3Jina AI	`Q8_0`	5.8 GB	812 ms	Slow
90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	`Q8_0`	9.5 GB	5.4 s	Very slow
66Good quality (B) · 66 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	GLiClass Base v3Knowledgator	`Q8_0`	0.8 GB	140 ms	Runs well
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	FRIDA-DecisionsSber AI	`Q8_0`	1.7 GB	589 ms	Slow

Best LLMs by task on this hardware Open in Model Finder

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.