L
localai.computer
ModelsGPUsSystemsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds
  • AI News

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2026 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can Intel Arc B570 run Microsoft Phi 4?

Microsoft Phi 4 speed on Intel Arc B570 and quantization-level VRAM fit.

Runs Q410GB VRAM availableRequires 8GB+

Intel Arc B570 meets the minimum VRAM requirement for Q4 inference of Microsoft Phi 4. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

Buy options for Intel Arc B570Best GPU guidesCompare prebuilt systems
Short answer: Intel Arc B570 can run Microsoft Phi 4 at Q4 with an estimated 47 tok/s.
Estimated speed
47 tok/s
VRAM needed
8GB
VRAM headroom
+2GB

What this means for you

Intel Arc B570 can run Microsoft Phi 4 with Q4 quantization. At approximately 47 tokens/second, you can expect Moderate speed - useful for batch processing.

VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q48GB10GB46.61 tok/s✅ Fits comfortably
Q815GB10GB32.62 tok/s❌ Not recommended
FP1630GB10GB17.71 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
572.44 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 4 on AMD Instinct MI300X
NVIDIA H200 SXM 141GB
141GB
516.95 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 4 on NVIDIA H200 SXM 141GB
NVIDIA H100 SXM5 80GB
80GB
371.30 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 4 on NVIDIA H100 SXM5 80GB
AMD Instinct MI250X
128GB
358.17 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 4 on AMD Instinct MI250X
NVIDIA H100 PCIe 80GB
80GB
235.70 tok/s
Price: —
Fit note: higher estimated speed than the baseline option.
Check Microsoft Phi 4 on NVIDIA H100 PCIe 80GB

GPU buying guides

Need a GPU with 8GB+ VRAM? These guides match your requirements.

Best Budget GPU for AI
Affordable GPUs under $500 for smaller models.
Read guide →
Best GPU Under $500
Maximum value for AI and gaming on a budget.
Read guide →
Best GPU for LLMs
Optimized for running large language models locally.
Read guide →

Compare purchase paths

Direct GPU buy options

Check current pricing links for Intel Arc B570 and similar cards.

Open Intel Arc B570 buy links →
Curated best GPU guides

Use workload-focused recommendations before committing to a purchase.

Browse best GPU guides →
Prebuilt AI systems

Compare complete systems if you want ready-to-run hardware.

Compare prebuilt systems →

Try before you buy

Rent cloud GPUs by the hour — no upfront hardware cost.

Vast.aiFrom $0.20/hr · Pay as you goRent GPU →RunPodFrom $0.30/hr · Secure cloudRent GPU →Lambda LabsFrom $0.50/hr · Enterprise-gradeRent GPU →

More questions

Intel Arc B570 buy options & pricingFull guide for Microsoft Phi 4Best GPU guides for this modelCompare prebuilt local AI systemsBrowse all model + GPU compatibility checksMicrosoft Phi 4 Q4 requirementsMicrosoft Phi 4 Q4_K_M requirementsCan AMD Instinct MI300X run Microsoft Phi 4?Can NVIDIA H200 SXM 141GB run Microsoft Phi 4?Can NVIDIA H100 SXM5 80GB run Microsoft Phi 4?

Compatibility FAQ

Can Intel Arc B570 run Microsoft Phi 4?

Intel Arc B570 can run Microsoft Phi 4 at Q4 with an estimated 47 tok/s.

How much VRAM is needed for Microsoft Phi 4 on Intel Arc B570?

Q4 inference is estimated to need about 8GB VRAM on this page, while Intel Arc B570 has 10GB available.

What if Intel Arc B570 is not enough for Microsoft Phi 4?

If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.