What AI models can the Intel Celeron J6412 / Atom x6425E NAS (8 GB) run?

RAM: 8.0 GB
Usable for models: 5.2 GB
Memory bandwidth: 26 GB/s
Runs models on: CPU cores
Released: 2021

284 / 622 LLMs run Best: Nemotron Labs Dory 1.0 4B 41 / 61 Image models run Best: FLUX 3 Image Klein 3 / 43 Video models run Best: AnimateDiff v3 (SD 1.5) 59 / 70 Decision models run Best: Jina Reranker v3.5

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 5.2 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	65% (what the NAS system and its storage services typically leave free at this size)
Chip	Intel Celeron J6412 / Atom x6425E
AI accelerator	None. Models run on the processor cores.
NAS models with this chip	QNAP TS-453E · QNAP TS-253E · QNAP TS-410E · QNAP TS-i410X
Memory type	System RAM, shared with the NAS operating system and its storage services
Bandwidth figure	25.6 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 Celeron J6412 / Atom x6425E NAS (8 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

4 products with the Intel Celeron J6412 / Atom x6425E NAS (8 GB)

TS-453EQNAP · NAS · 8 or 16 GBProduct page (opens in a new tab)
TS-253EQNAP · NAS · 8 or 16 GBProduct page (opens in a new tab)
TS-410EQNAP · NAS · 8 GBProduct page (opens in a new tab)
TS-i410XQNAP · NAS · 8 GBProduct page (opens in a new tab)

Best LLMs for the Intel Celeron J6412 / Atom x6425E NAS (8 GB)

Quality	Model	Quant	Memory	Speed	Runs
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron Labs Dory 1.0 4BNVIDIA	`Q4_K_M`	3.9 GB	3.3 tok/s	Slow
62Good quality (B) · 62 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Spark-X2.6 4BSparkLLM	`Q4_K_M`	3.8 GB	3.2 tok/s	Slow
64Good quality (B) · 64 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Nanbeige4.2 3BBOSS Zhipin (Nanbeige)	`Q4_K_M`	5.0 GB	3.1 tok/s	Slowtight fit
58Good quality (B) · 58 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E2BGoogle	`Q4_K_M`	4.2 GB	5.7 tok/s	Slow
59Good quality (B) · 59 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking.	MiniCPM5 2BOpenBMB	`Q6_K`	3.4 GB	3.6 tok/s	Slow
57Good quality (B) · 57 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	TMax 4BAi2	`Q4_K_M`	3.9 GB	3.1 tok/s	Slow
50Fair quality (C) · 50 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	Ling 3.0 Tiny (8B-A1.3B)Ant Group (inclusionAI)	`Q3_K_M`	5.1 GB	12.5 tok/s	Runs welltight fit
58Good quality (B) · 58 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking.	Nemotron 3.5 Bolt E4BNVIDIA	`Q3_K_M`	5.1 GB	3.8 tok/s	Slowtight fit
41Fair quality (C) · 41 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.	Unlimited OCR 2 (3B-A0.6B)Baidu	`Q4_K_M`	3.6 GB	20.3 tok/s	Runs well
57Good quality (B) · 57 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 E4BGoogle	`Q3_K_M`	5.1 GB	3.8 tok/s	Slowtight fit
52Fair quality (C) · 52 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 4BAlibaba	`Q3_K_M`	3.6 GB	3.6 tok/s	Slow
38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	Unlimited OCR (3B-A0.6B)Baidu	`Q4_K_M`	3.6 GB	20.3 tok/s	Runs well

Best Image models for the Intel Celeron J6412 / Atom x6425E NAS (8 GB)

Quality	Model	Quant	Memory	Speed	Runs
90Excellent quality (A+) · 90 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking.	FLUX 3 Image KleinBlack Forest Labs	`Q8 GGUF`	4.3 GB	57.8 min	Very slowCPU offload
72Great quality (A) · 72 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking.	FLUX.2 [klein] 4BBlack Forest Labs	`Q4 GGUF`	4.6 GB	8.5 min	Very slowtight fit · encoder unloaded after use
82Great quality (A) · 82 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.	Z-Image TurboAlibaba (Tongyi)	`FP8`	4.4 GB	19.8 min	Very slowCPU offload
81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	ERNIE-ImageBaidu	`Q4 GGUF`	4.1 GB	3.9 h	Very slowCPU offload
81Great quality (A) · 81 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	MOSS-Image SFTOpenMOSS	`Q8 GGUF`	4.1 GB	2.4 h	Very slowCPU offload
39Basic quality (D) · 39 of 100: how capable the model is at FP8, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking.	SDXL TurboStability AI	`FP8`	4.2 GB	55 s	Slow

Best Video models for the Intel Celeron J6412 / Atom x6425E NAS (8 GB)

Quality	Model	Quant	Memory	Speed	Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking.	AnimateDiff v3 (SD 1.5)Shanghai AI Lab	`FP16`	4.7 GB	2.3 h	Very slowtight fit
49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 50/100 (quality, fit, speed and memory use) sets the ranking.	LTX-Video 2BLightricks	`FP8`	4.0 GB	3.3 h	Very slowCPU offload
44Fair quality (C) · 44 of 100: how capable the model is at FP8, whatever it runs on. Match score 46/100 (quality, fit, speed and memory use) sets the ranking.	CogVideoX 2BZhipu AI	`FP8`	4.7 GB	7.9 h	Very slowtight fit · CPU offload

Best Decision models for the Intel Celeron J6412 / Atom x6425E NAS (8 GB)

Quality	Model	Quant	Memory	Speed	Runs
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3.5Jina AI	`Q8_0`	1.9 GB	17.2 s	Very slow
87Excellent quality (A+) · 87 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	`Q5_K_M`	4.2 GB	114.7 s	Very slow
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Jina Reranker v3Jina AI	`Q8_0`	1.9 GB	17.2 s	Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	zerank-2ZeroEntropy	`Q5_K_M`	4.2 GB	114.7 s	Very slow
85Excellent quality (A+) · 85 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	Shieldstral 1.0 3BMistral AI	`Q6_K`	4.4 GB	109.9 s	Very slow
78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.	OpenAI Privacy FilterOpenAI	`Q8_0`	2.4 GB	777 ms	Slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	GLiNER2.5 DecideFastino	`Q8_0`	1.2 GB	7.6 s	Very slow
82Great quality (A) · 82 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	mxbai-rerank-large v2Mixedbread	`Q8_0`	2.7 GB	44.0 s	Very 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.