NPUAMD

AMD Ryzen AI 9 HX 370 NPU

Curated Aggregate·2024-07-013 workloads · 5 records
MyAI RatingNot scoredInsufficient comparison evidence

VRAM

0 GB

TDP

28 W

MSRP

$1.5k

Perf/W

0.68 tok/s/W

Cost/1K tok

$0.83/M

Tested

2024-07-01

Quick answer

How fast is AMD Ryzen AI 9 HX 370 NPU for local AI workloads?

AMD Ryzen AI 9 HX 370 NPU has a source-attributed result of 8.0 tok/s on Mistral 7B (batch 1, 2048-token context, INT4; runtime not documented). This is a reference report, not an independently verified lab result. A 70B Q4_K_M artifact needs roughly 40GB for weights alone; smaller memory configurations require explicit offload or model splitting and do not establish full-GPU residency.

Source: MyAIHardware benchmark database (bench-ryzenai-hx370-mistral)As of 2025-07-10

Verdict

AMD Ryzen AI 9 HX 370 NPU with 0GB VRAM at 28W TDP, scored across 3 workloads with 5 benchmark records.

Reference workload

Mistral 7B

8 tok/s

Quantization

INT4

2K context · batch 1

LLM Inference Performance

08162432Phi-3 MiniMistral 7BLlama 3 8BQ4

Benchmarks (3 workloads)

WorkloadScoreQuantContextσStatusTested
Phi-3 Mini

llm

32.0tok/sQ4_K_M4K, Curated Aggregate2024-09-04
Mistral 7B

llm

8.0tok/sINT42K, Curated Aggregate2025-07-10
Llama 3 8B Q4

llm

7.0tok/sINT42K, Curated Aggregate2024-12-30

MyAI Score: not scored

There is insufficient comparable evidence to score AMD Ryzen AI 9 HX 370 NPU. A score needs results for multiple devices with matching workload, runtime version, quantization, context and batch size.

Workload Fit

Planning estimates for 0GB: weights plus at least 2GB or 10% overhead. Actual KV cache depends on model, context and cache format; confirm the artifact before buying.

Q4
Q8
FP16
7-8B
Won't fit
Won't fit
Won't fit
13-14B
Won't fit
Won't fit
Won't fit
32B
Won't fit
Won't fit
Won't fit
70B
Won't fit
Won't fit
Won't fit
Reported batch-one examples
Mistral 7B8 tok/s
Llama 3 8B Q47 tok/s
Phi-3 Mini32 tok/s

Source

Ryzen AI SW 1.3, hybrid NPU + iGPU.

View sourceHow we benchmark →

Public Trust Layer

Trust score

6/10

MyAI rating

Not scored

Runs

Not documented

Freshness

Stale

Source-linked row with explicit verification status.

Record date: 2025-07-10; 426 days old.

Open primary source

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Where to buy

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Amazon search

For mainstream AI hardware, Amazon usually updates street pricing, seller availability, and shipping speed faster than most comparison sites.

Search Amazon listings
  • +Use $1.5k as your price anchor unless the part is clearly supply-constrained or newly launched.
  • +Check the exact cooler, board partner, or memory configuration before buying. The silicon may match, but noise and thermals do not.
  • +If the Amazon price looks inflated, wait or compare against recent street pricing rather than paying a panic premium.

There is insufficient comparable evidence for a purchase recommendation. Check model fit, software support and a current seller quote.

Affiliate note: we do not have a device-level ASIN yet, so this opens tagged Amazon search results for the exact product name.

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