Ryzen AI 300 Series in 2026: Models, NPU and Graphics

The Ryzen AI 300 series is AMD’s family of laptop processors built on Zen 5 cores, RDNA 3.5 integrated graphics and an XDNA 2 neural processing unit (NPU) rated at 50 TOPS or more, which clears the 40 TOPS bar Microsoft sets for Copilot+ PCs. The lineup runs from the 12-core Ryzen AI 9 HX 375 down to the 6-core Ryzen AI 5 340, all with a 28 W default power target configurable from 15 W to 54 W.

This guide explains the model stack, what the NPU actually does, how the graphics compare across tiers, and which chip fits which kind of laptop. Specifications are drawn from AMD’s product listings and from reputable hardware references; real-world results depend heavily on the laptop’s cooling, memory and firmware, so treat any single number as a ceiling rather than a promise.

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The Ryzen AI 300 lineup at a glance

The top three chips use a larger design codenamed Strix Point, while the AI 7 350 and AI 5 340 belong to a smaller design codenamed Krackan Point. AMD also sells PRO variants for business laptops, which add management and security features on top of the same basic hardware.

What is inside: Zen 5 and Zen 5c cores

Ryzen AI 300 chips combine two core types. The full Zen 5 cores reach the highest clock speeds and handle the demanding threads, while the compact Zen 5c cores are smaller, run at lower frequencies (up to about 3.3 GHz on the HX 370) and save die area and power. Both share the same instruction set and features, so software sees one uniform processor. The result is a high thread count within a laptop power budget: twelve cores and 24 threads on the top models, which is more than many competing thin-and-light laptop chips offer.

The chips are manufactured on a 4 nm process and support DDR5-5600 or LPDDR5X-8000 memory depending on the laptop design. LPDDR5X is soldered to the board, which improves bandwidth and power use, but it also means the memory cannot be upgraded later. That trade-off is central to the buying decision and is covered in the checklist below.

The NPU and the Copilot+ question

The XDNA 2 NPU is a dedicated block for running small machine learning models efficiently. AMD rates it at 50 TOPS (trillions of operations per second, INT8) on most models and 55 TOPS on the HX 375, and quotes higher platform totals of roughly 80 to 85 TOPS when the CPU and GPU are counted. Microsoft requires at least 40 TOPS from the NPU alone for Copilot+ PC features, so every chip in the stack qualifies.

What an NPU is good at

• Background effects: webcam blur, eye contact correction and noise suppression during video calls, running at a small fraction of the power a CPU or GPU would need.
• On-device features: live captions, image enhancement and local search features in Windows.
• Small language models: compact models can run on the NPU, though larger ones rely on the GPU and system memory.

What the TOPS number does not tell you

TOPS is a theoretical peak. Actual speed depends on software support, model format and memory bandwidth. A laptop with a 50 TOPS NPU will not necessarily run a given AI application faster than one with a 45 TOPS chip, and many popular tools still use the graphics card instead. The NPU’s main benefit is efficiency, meaning longer battery life when AI features are active, rather than raw speed.

Integrated graphics across the stack

Radeon 800M graphics use RDNA 3.5 and scale with the number of compute units (CUs). The 16-CU Radeon 890M, running up to about 2.9 GHz, is among the stronger integrated graphics options for thin laptops and can handle many esports and older titles at 1080p with reduced settings. The 880M, 860M and 840M step down in capability.

Integrated graphics share system memory, so memory speed has a direct impact on gaming performance. Laptops with LPDDR5X-7500 or faster memory generally give the 890M more bandwidth than designs with slower DDR5 modules. Laptop makers can also choose different power limits, which is why two laptops with the same chip may differ by a large margin.

Power targets and battery life

The 28 W default power target makes the chips well suited to thin and light laptops, and the 15 W to 54 W range lets manufacturers adapt them from fanless designs to performance-oriented models. Higher limits increase burst performance in short tasks but raise noise and heat. In everyday use, such as browsing, office work and video playback, the efficiency of the Zen 5c cores and the NPU helps battery life, though battery capacity, display brightness and software choices matter just as much as the processor.

Worked example: battery estimate

A laptop with a 70 Wh battery that averages 7 W during light use runs about 10 hours, since 70 divided by 7 equals 10. If a video call with AI effects raises the average to 12 W, the same battery lasts nearly 5.8 hours. Moving AI effects from the CPU to the NPU can lower that average by a few watts, which is where an efficient NPU earns its keep.

Which Ryzen AI 300 model fits which laptop

Ryzen AI 300 versus the competition

Within the AMD range, the Ryzen AI 300 series follows the Ryzen 8040 series and sits below the Ryzen AI Max line, which uses far larger graphics and a wider memory interface. Against Intel’s Core Ultra 200V laptop processors, AMD’s strengths are generally higher thread counts and stronger integrated graphics, while Intel emphasizes battery efficiency and its own NPU. Qualcomm’s Snapdragon X chips also target Copilot+ laptops with strong efficiency, but they run Windows on Arm and may face compatibility limits with some older applications. The best choice depends on the specific laptop, so compare reviews of the exact model.

How to read the model names

AMD’s naming scheme packs several clues into each label. The number after “Ryzen AI” (9, 7 or 5) is the performance tier, similar to the older Ryzen 9, 7 and 5 labels. The three-digit number identifies the generation and position: the leading 3 indicates the 300 series, and the following digits rank the chip within its tier. Suffixes add detail, so “HX” marks the highest-performance variants intended for creator and enthusiast laptops, and “PRO” marks business models with extra manageability. Knowing this prevents confusion when two laptops with similar names carry quite different silicon, such as an AI 9 365 with ten cores and an AI 7 350 with eight.

Memory bandwidth and why it matters for graphics

Integrated graphics have no dedicated video memory, so the Radeon 890M draws on the same pool as the CPU. Bandwidth can be estimated from the memory speed and bus width. A 128-bit bus is 16 bytes wide, so LPDDR5X-7500 transfers 7,500 million times per second multiplied by 16 bytes, which equals about 120 GB/s. DDR5-5600 on the same 128-bit width gives roughly 90 GB/s. That difference of around one third is why identical processors can produce noticeably different frame rates in two laptops, and why reviewers pay close attention to the memory configuration.

Single-channel configurations are the worst case. A laptop that ships with one memory module delivers only half the bandwidth of a dual-channel layout, which can cut integrated graphics performance dramatically. If gaming matters, confirm that the listing specifies dual-channel memory or two modules.

Productivity performance in practice

For office work, browsing and coding, every chip in the family is more than fast enough, and differences show up mainly under sustained load. The 12-core models compile software and export video faster than the 6-core and 8-core chips, particularly when the laptop allows a higher power target. Because the Zen 5c cores run at lower frequencies, single-thread responsiveness depends on the four full Zen 5 cores, which reach the headline boost clocks of 4.8 to 5.1 GHz.

Photographers and video editors benefit from the integrated GPU for effects and from the NPU for AI-assisted tools such as subject selection and noise reduction, provided the editing software has been updated to use them. Heavy 4K timelines and 3D rendering remain better served by a laptop with a discrete graphics card.

Chassis types and what to expect from each

Mini PCs also use these processors because they offer a lot of capability in a small enclosure, and with their larger coolers they can hold higher power targets than most thin laptops.

Security and business features

Ryzen AI PRO 300 processors add manageability and security features aimed at corporate fleets, such as hardware-rooted protection, remote management support and extended platform lifecycle commitments. Consumers rarely need them, but small businesses buying several laptops may value the longer support window and simpler device management. Every model in the family supports modern Windows security features, including hardware-backed encryption through the system’s trusted platform module, so even non-PRO laptops meet the baseline for current operating system requirements.

Longevity and ownership

Laptop processors cannot be replaced, so the decision made at purchase lasts for the life of the machine. Buying one tier above your current needs and choosing 32 GB of memory when it is soldered is a more reliable way to stay comfortable for four or five years than counting on future upgrades. Battery wear is the other limit: after several hundred charge cycles capacity declines, so a laptop with a replaceable battery or a good warranty adds practical value. Keep firmware and drivers updated, because AMD and laptop makers continue to improve power management and NPU support through updates.

Laptop buying checklist

1. Check the memory type. Soldered LPDDR5X gives more bandwidth but no upgrades; SODIMM DDR5 allows later upgrades but is slower.
2. Choose enough capacity. 16 GB is a minimum for AI features and creative work, and 32 GB is better when you plan to keep the laptop several years.
3. Look at the power limit. Reviews usually report the sustained wattage; a 15 W configuration is much slower in long tasks than a 35 W one.
4. Confirm the cooling design. Dual fans and large heat pipes sustain boost clocks better than a single small fan.
5. Inspect the display. An OLED or high-refresh panel affects battery life and experience as much as the processor.
6. Verify ports. USB4, HDMI 2.1 and fast Wi-Fi vary between models.

Common mistakes

• Paying for a higher model in a poorly cooled laptop. A strong chip in a thin chassis can perform like a mid-range chip.
• Assuming “AI” means faster everything. Most traditional tasks do not use the NPU.
• Ignoring single-channel memory. Some budget laptops run one memory channel, which severely limits integrated graphics.
• Comparing TOPS across vendors. Different companies measure and combine figures differently.
• Expecting upgradeability. Many Ryzen AI laptops solder memory, and the processor itself is never replaceable.

Software and driver considerations

Getting the most from a Ryzen AI laptop also depends on software. AMD’s graphics and NPU drivers arrive through Windows Update and the manufacturer’s tools, and keeping them current matters because early drivers can limit NPU features. Applications must be written to target the NPU, either directly or through frameworks such as ONNX Runtime and DirectML, so the list of supported programs grows over time instead of being complete on day one. Before paying extra for NPU performance, check whether the software you use already supports it; if not, the benefit will be limited to Windows features today.

Frequently Asked Questions

What is the Ryzen AI 300 series?

It is AMD’s 2024-to-2026 family of laptop processors combining Zen 5 and Zen 5c CPU cores, Radeon 800M integrated graphics and an XDNA 2 NPU of 50 TOPS or more. The line includes the Ryzen AI 9 HX 375, HX 370 and 365, plus the Ryzen AI 7 350 and AI 5 340.

Do Ryzen AI 300 laptops meet Copilot+ PC requirements?

Yes. Microsoft requires an NPU capable of at least 40 TOPS, and all Ryzen AI 300 chips offer 50 TOPS or more. Final feature availability still depends on the laptop’s software configuration.

Is the Ryzen AI 9 HX 370 good for gaming?

Its Radeon 890M is a strong integrated GPU that handles many esports and older titles at 1080p with reduced settings. For modern demanding games at higher settings, a laptop with a discrete graphics card is the better route.

What is the difference between Strix Point and Krackan Point?

Strix Point is the larger design used by the HX 375, HX 370 and 365, with up to 12 cores and 16 graphics CUs. Krackan Point is the smaller design used by the AI 7 350 and AI 5 340, aimed at mainstream laptops with fewer cores and smaller graphics.

Can I upgrade the memory in a Ryzen AI 300 laptop?

It depends on the model. Many thin laptops solder LPDDR5X memory to the board, so you must buy the capacity you need at the start, while some designs use removable DDR5 modules.

How does the NPU affect battery life?

When software uses the NPU for tasks such as camera effects and noise cancellation, it consumes less power than running the same work on the CPU or GPU, which can extend battery life during video calls and similar workloads. For ordinary browsing and office work, the effect is small.