Intel is finally ready to take the workstation market by storm — and they brought a monster to the fight. Today we’re reviewing the Intel Arc Pro B70, in all its glory. This card is based on the brand-new Battlemage Xe2 architecture and packs a massive 32 GB frame buffer — but can it actually trade blows with the reigning champions, like the NVIDIA RTX 4090? We ran the numbers, and the results might just shock you.

Short version: it beats the 4090 in one of the most important creator benchmarks, crushes it on price-per-VRAM, and is a legitimate contender for video engineers and budget LLM work — with a driver-maturity asterisk.

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TL;DR — The 10-second verdict

What it is	Intel’s Battlemage Xe2 workstation GPU — 32 GB GDDR6 ECC VRAM, dual media engines, PCIe 5.0, single 8-pin
Who it’s for	Video engineers and budget LLM/AI users who need big VRAM without RTX 4090 money — plus anyone who wants to game off the clock
The headline	138,751 PugetBench basic — beats the RTX 4090 (138,264) in DaVinci Resolve; 149 tok/s on DeepSeek R1 8B with the full 32 GB context on-GPU
The catch	NVIDIA pulls ahead on standard runs, AI upscaling, and raw render times; Intel pro-driver certification still lags NVIDIA for niche CAD plugins
Our take	A legitimate workstation disruptor for video + LLM workloads — the RTX 4090 isn’t dethroned everywhere, but at this price, the 32 GB VRAM is a steal
Where To Buy (Affiliate Links)	Amazon · Mavely · JoyLink
Video Review	YouTube

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Hardware & Specs

Component	Specification
GPU	Intel Arc Pro B70 — Battlemage Xe2 architecture
Compute	32 Xe-cores · 32 ray-tracing units
Memory	32 GB GDDR6 with ECC support — 256-bit interface
Interface	PCIe 5.0
Media	Dual multi-format codec engines — dedicated AV1, H.265, and H.264 encode/decode
Power	Single 8-pin connector
Design	2-slot, 10.5” long, ~1020 g

The B70 looks like the Arc Pro B50’s bigger, beefier sibling — dense and well-built at just over a kilogram, much more refined than the early Alchemist cards. Note it ships without the low-profile bracket the B50 includes (it’s a full-size two-slot card), and a single 8-pin is a breath of fresh air compared to NVIDIA’s high-end cabling.

Test bench: AMD Ryzen 9 7950X · 64 GB DDR5-6000 · GIGABYTE X670E Aorus Master.

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PugetBench & DaVinci Resolve

This is where things get interesting. In the PugetBench basic run for DaVinci Resolve Studio, the Arc Pro B70 actually outperformed the RTX 4090: the B70 scored 138,751 while the 4090 trailed at 138,264. Switch to the Standard run and the 4090 pulls ahead by more than 30,000 points.

Scrubbing 1080p and 2160p timelines is smooth on both cards — this is where they feel evenly matched. Raw render times, though, still favor the 4090:

Render (4-min project)	Arc Pro B70	RTX 4090
1080p YouTube preset	1:12	0:54
1080p + 2× AI upscaling	35:10	13:15

Intel’s media engines are elite for standard editing, but NVIDIA still leads in raw AI-assisted compute — and it should be noted DaVinci Resolve is heavily optimized for NVIDIA cards.

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AI Benchmarks — ComfyUI & LLMs

ComfyUI (warm-start, 4× 1024×1024 images at 50 steps, random seeds to force GPU work): the 4090 finished in 28.25 s; the B70 followed at 40.32 s — very respectable for a card at this price.

For Large Language Models, that 32 GB VRAM buffer is a game-changer:

Model	Tokens/sec
DeepSeek R1 8B	149.74
Gemma 4 31B	7.57

All scores run with each model’s context fully allocated on the GPU. The Gemma 4 31B result is the headline: the fact that it runs a model that large on a single ~$700-class card at all is incredible for this price bracket.

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Gaming Performance

Even though this is a “Pro” card, we know you want to game on it. Settings: MAXED quality, XeSS ON (Quality), no frame generation — averages of multiple runs.

Game (avg fps)	Settings	Result
Cyberpunk 2077	Max, XeSS Quality, 1440p	121
Remnant 2	Max, XeSS Quality, UW 1440p	69
Civilization VI	Max, XeSS Quality, UW 1440p	117

Genuinely impressive for a card that isn’t even marketed for gaming — more than capable of high-end gaming when you’re off the clock.

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Power Consumption

System draw at the wall	Arc Pro B70	RTX 4090
Idle	306 W	378 W
Full load	522 W	747 W

The Intel system draws dramatically less at full power — take these as ballpark system-level numbers (same game/load at the socket), but the efficiency difference is staggering.

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Community Concerns

The elephant in the room is driver stability. Reddit communities frequently point out that Intel’s professional certification lags behind NVIDIA. We didn’t have crashes in Resolve, but some specialized CAD software may still see quirks — Intel is working on it, but it’s something to keep in mind if your livelihood depends on a specific, niche plugin. In other words: if you go Intel, be ready for some growing pains.

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Price & Availability

The Arc Pro B70 brings professional features and massive VRAM to a much more accessible price point — far below RTX 4090 territory for the core use cases that matter (video encoding, high-VRAM AI, LLM inference). Check current listings for your region and stock, and weigh the driver-maturity trade-off against your specific software stack.

Pros

• 32 GB of ECC GDDR6 VRAM at an accessible price — the value headline
• Beats the RTX 4090 on PugetBench basic in DaVinci Resolve Studio
• Elite media engines (dual AV1/H.265/H.264)
• Runs DeepSeek R1 8B at ~150 tok/s with full context on-GPU; runs 31B-class models at all
• Excellent gaming for a “Pro” card (121 fps Cyberpunk at 1440p max)
• Far more efficient at the wall than the 4090

Cons

• NVIDIA pulls ahead on standard PugetBench, AI upscaling, and raw render times
• Intel pro-driver certification still lags NVIDIA for niche CAD/plugin work
• No low-profile bracket (full-size two-slot card)
• DaVinci Resolve’s NVIDIA optimization works against it in raw compute

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The bottom line

The Intel Arc Pro B70 is a fascinating piece of hardware. It brings professional features and massive VRAM to a much more accessible price point. If you’re a video engineer or someone working with large language models on a budget, this card is an absolute steal — it’s not an RTX 4090 killer in every category, but for video encoding and high-VRAM AI tasks, it’s a legitimate contender.

— Tame That Tech Minion

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