Intel Arc A750, AI & Machine Learning Benchmarks & Specs

8GB · AI Score 1.9/100 · anchored estimate vs 51 measured cards

1.9 AI Score Includes estimates

We have not run Intel Arc A750 on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure (confidence: low). On Llama 3.1 8B (Q4_K_M) Intel Arc A750 should deliver about 66.1 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 8GB. For image generation, SDXL should run near 0.91 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 9 of the 12 workloads won't fit on 8GB at the tested precision, Qwen2.5-Coder 14B, Qwen3 32B, Llama 3.3 70B, Z-Image Turbo and others. We publish those as hard gates rather than quietly dropping to a smaller quant.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Workload	Result	Telemetry	Data
Qwen3 4B	106.3 tok/s	estimated	Est.
Llama 3.1 8B	66.1 tok/s	estimated	Est.
Qwen2.5-Coder 14B	✕ Won't fit	VRAM-gated at this precision	Est.
Qwen3 32B	✕ Won't fit	VRAM-gated at this precision	Est.
Llama 3.3 70B	✕ Won't fit	VRAM-gated at this precision	Est.

Image Generation images/min 3

Workload	Result	Telemetry	Data
Stable Diffusion XL	1.82 images/min	estimated	Est.
Z-Image Turbo	✕ Won't fit	VRAM-gated at this precision	Est.
FLUX.1 dev	✕ Won't fit	VRAM-gated at this precision	Est.

Image Editing images/min 2

Workload	Result	Telemetry	Data
FLUX.1 Kontext dev	✕ Won't fit	VRAM-gated at this precision	Est.
Qwen-Image-Edit	✕ Won't fit	VRAM-gated at this precision	Est.

Video Generation frames/s 2

Workload	Result	Telemetry	Data
LTX-Video (distilled)	✕ Won't fit	VRAM-gated at this precision	Est.
Wan 2.2 5B (720p)	✕ Won't fit	VRAM-gated at this precision	Est.

How this estimate is derived. This card hasn’t been through our bench yet, so its numbers are anchored estimates, interpolated from the 51 first-party measured cards (Bandwidth Theil-Sen ladder off NVIDIA anchors × vendor factor (LLM ×0.7, diffusion ×0.35); realistic VRAM floors). The VRAM “won’t fit” gates are exact, since they’re pure capacity limits. Confidence: low. Estimates are replaced with measured data as more silicon goes through the bench. Full methodology →

Intel Arc A750 specifications

Architecture	Alchemist (Xe-HPG)
Xe cores	32
VRAM	8GB GDDR6
Memory bus	256-bit
Memory bandwidth	512 GB/s
Boost clock	2,400 MHz
TDP	225 W
Process	6nm
Interface	PCIe 4.0 x16
Release date	2022-10-19
Launch MSRP	$289

Verdict, capable, but 8GB sets the ceiling

Intel Arc A750 scores 1.9/100, #94 of 102. It ran 3 of 12; 9 exceeded its 8GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the Intel Arc A750 lands

100% = this card, AI & Machine Learning headline metric (AI Score). #54 of 61 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA GeForce RTX 2070	100%	1.9
NVIDIA GeForce RTX 3050	100%	1.9
GeForce RTX 4060	100%	1.9
NVIDIA GeForce RTX 5050	100%	1.9
Intel Arc A750	100%	1.9
AMD Radeon RX 7600	95%	1.8
NVIDIA GeForce GTX 1080	95%	1.8
NVIDIA GeForce GTX 1070 Ti	89%	1.7
NVIDIA GeForce GTX 1660 Super	89%	1.7

One tier up: NVIDIA GeForce RTX 5050 (0%)
One tier down: AMD Radeon RX 7600 (-5%)
Best value alternative ($179): Intel Arc B580 (+5%)

Same card, other workloads: Intel Arc A750 Gaming benchmarks

← All AI & Machine Learning GPU rankings

What this card can build

Whole-job timings, composed from our measured per-model results on this card.

Can't run: 60-second AI short film (needs Qwen3 32B), 60-second AI short film, narrated (needs Qwen3 32B), 10 short social clips (needs Qwen3 32B), 40-product photo shoot (needs FLUX.1 Kontext dev), 6-panel comic page (needs Qwen3 32B), 20 long-form articles (needs Llama 3.3 70B), Full codebase review (needs Qwen2.5-Coder 14B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).