MAXSUN Intel Arc Pro B60 Dual 48G Turbo

Specifications

Maker	MAMAXSUN
Type	Workstation card
GPU	Intel Arc Pro B60
Video memory (VRAM)	24.0 GB
Usable for AI models	24.0 GB
Memory bandwidth	456 GB/s
FP16 compute	24.6 TFLOPS
Notes	TWO B60 GPUs on one board (2x24 GB, each 456 GB/s; shows as 2 devices, needs x8/x8 bifurcation); 400 W; price on quote
Product page	www.maxsun.com (opens in a new tab)

Cards built on the same GPU with the same memory run AI models at practically the same speed; factory overclocks and coolers change results by only a few percent.

Best LLMs for the MAXSUN Intel Arc Pro B60 Dual 48G Turbo

Quality	Model	Quant	Memory	Speed	Runs
A+91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 26B-A4BGoogle	Q6_K	23.4 GB	60.9 tok/s	Runs welltight fit
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 35B-A3BAlibaba	Q4_K_M	23.9 GB	96.3 tok/s	Runs welltight fit
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	OBMiniCPM-V 4.7 35B-A3BOpenBMB	Q4_K_M	23.4 GB	96.3 tok/s	Runs welltight fit
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 35B-A3BAlibaba	Q4_K_M	23.9 GB	96.3 tok/s	Runs welltight fit
A+87Excellent quality (A+) · 87 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	NANex N2 Mini (35B-A3B)Nex-AGI	Q4_K_M	23.4 GB	96.3 tok/s	Runs welltight fit
A+86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	KKAT-Coder V2.5 Dev (35B-A3B)Kuaishou	Q4_K_M	23.1 GB	96.3 tok/s	Runs welltight fit
A+86Excellent quality (A+) · 86 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	ISSage-A1.5 35B-A3BInternScience	Q4_K_M	23.9 GB	96.3 tok/s	Runs welltight fit
A83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	KRRaon-1 mini Preview (30B-A4B)KRAFTON	Q4_K_M	19.4 GB	74.5 tok/s	Runs great
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.5 35B-A3BDeepReinforce	Q4_K_M	23.9 GB	96.3 tok/s	Runs welltight fit
A84Great quality (A) · 84 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	AApodex 1.1 Mini (35B-A3B)Apodex	Q4_K_M	23.9 GB	96.3 tok/s	Runs welltight fit

Best Image models for the MAXSUN Intel Arc Pro B60 Dual 48G Turbo

Quality	Model	Quant	Memory	Speed	Runs
A+90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	KKrea 2 TurboKrea	FP8	20.2 GB	17 s	Runs well
A82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 9BBlack Forest Labs	FP8	19.9 GB	7.2 s	Runs great
A78Great quality (A) · 78 of 100: how capable the model is at FP16, whatever it runs on. Match score 90/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 4BBlack Forest Labs	FP16	18.1 GB	4.5 s	Runs great
A83Great quality (A) · 83 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.	BERNIE-Image TurboBaidu	FP8	14.5 GB	13 s	Runs great
A82Great quality (A) · 82 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.	Z-Image TurboAlibaba (Tongyi)	FP8	12.6 GB	10 s	Runs great
A+89Excellent quality (A+) · 89 of 100: how capable the model is at FP8, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX 3 Image KleinBlack Forest Labs	FP8	12.4 GB	23 s	Runs well

Best Video models for the MAXSUN Intel Arc Pro B60 Dual 48G Turbo

Quality	Model	Quant	Memory	Speed	Runs
C50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-Video 2BLightricks	FP16	17.5 GB	1.9 min	Runs great
A83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 76/100 (quality, fit, speed and memory use) sets the ranking.	BDBernini-R A14B (video generation + editing)ByteDance	FP8	20.3 GB	50.6 min	Very slowencoder in RAM
A+86Excellent quality (A+) · 86 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.	LLTX-2.5 (22B, video + audio)Lightricks	FP8	19.7 GB	7.9 min	Runs wellCPU offload
A74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	THY-OmniWeaving (8.3B, unified video)Tencent	FP8	15.7 GB	37.3 min	Slowencoder in RAM
A70Great quality (A) · 70 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 S2V 14B (speech to video)Alibaba	Q4 GGUF	21.6 GB	89.3 min	Very slowtight fit

Best Decision models for the MAXSUN Intel Arc Pro B60 Dual 48G Turbo

Quality	Model	Quant	Memory	Speed	Runs
A+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.	JAJina Reranker v3.5Jina AI	F16	3.2 GB	33 ms	Runs great
A84Great 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.	JAJina Reranker v3Jina AI	F16	3.2 GB	33 ms	Runs great
A84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	SAIntern-Decision 4BShanghai AI Lab	Q8_0	6.7 GB	111 ms	Runs great
A82Great quality (A) · 82 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.	LAd1 3BLiquid AI	F16	8.1 GB	94 ms	Runs great
A82Great quality (A) · 82 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.	Mmxbai-rerank-large v2Mixedbread	F16	4.9 GB	78 ms	Runs great
A+90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	Q8_0	6.4 GB	175 ms	Runs well
A80Great 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.	SAFRIDA-DecisionsSber AI	F16	2.4 GB	23 ms	Runs great
A80Great 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.	FGLiNER2.5 DecideFastino	F16	1.7 GB	16 ms	Runs great

Other products with the Intel Arc Pro B60

• ASRock Intel Arc Pro B60 Creator 24GBASASRock · Workstation card · 24 GBProduct page (opens in a new tab)