AMD Ryzen AI 9 HX 370
AMD processor specifications and benchmark scores
At a Glance
AMDAMD Ryzen AI 9 HX 370 Specifications
Ryzen AI 9 HX 370 Core Configuration
Processing cores and threading
The AMD Ryzen AI 9 HX 370 features 12 physical cores and 24 threads, which directly impacts multi-threaded performance in CPU benchmarks. More cores allow the processor to handle parallel workloads efficiently, improving performance in video editing, 3D rendering, and multitasking scenarios. Thread count determines how many simultaneous tasks the CPU can process, with higher thread counts benefiting productivity applications and content creation workflows.
AI 9 HX 370 Clock Speeds
Base and boost frequencies
Clock speed is a critical factor in Ryzen AI 9 HX 370 benchmark performance, measured in GHz. The base clock represents the guaranteed operating frequency, while the boost clock indicates maximum single-core performance under optimal conditions. Higher clock speeds translate to faster single-threaded performance, which is essential for gaming and applications that don't fully utilize multiple cores. The Ryzen AI 9 HX 370 by AMD can dynamically adjust its frequency based on workload and thermal headroom.
AMD's Ryzen AI 9 HX 370 Cache Hierarchy
L1, L2, L3 cache sizes
Cache memory is ultra-fast storage built directly into the AI 9 HX 370 processor die. L1 cache provides the fastest access for frequently used data, while L2 and L3 caches offer progressively larger storage with slightly higher latency. Larger cache sizes significantly improve CPU benchmark scores by reducing memory access times. The Ryzen AI 9 HX 370's cache configuration is optimized for both gaming performance and productivity workloads, minimizing data fetch delays during intensive computations.
Zen 5 Architecture & Process
Manufacturing and design details
The AMD Ryzen AI 9 HX 370 is built on AMD's 4 nm manufacturing process, which determines power efficiency and thermal characteristics. Smaller process nodes allow for more transistors in the same space, enabling higher performance per watt. The architecture defines how the processor handles instructions and manages data flow, directly impacting benchmark results across different workload types. Modern CPU architectures like the one in AI 9 HX 370 incorporate advanced branch prediction and out-of-order execution for optimal performance.
Zen 5 Instruction Set Features
Supported CPU instructions and extensions
The Ryzen AI 9 HX 370 by AMD supports various instruction set extensions that enable optimized performance for specific workloads. SIMD instructions like SSE and AVX accelerate multimedia, scientific computing, and AI workloads by processing multiple data points simultaneously. Features like AES-NI provide hardware-accelerated encryption, while AVX-512 (if supported) enables advanced vector processing for data centers and high-performance computing. These instruction sets are critical for software compatibility and performance in modern applications.
AI 9 HX 370 Power & Thermal
TDP and power specifications
The AMD Ryzen AI 9 HX 370 has a TDP (Thermal Design Power) of 28W, indicating the cooling solution required for sustained operation. TDP affects both system power consumption and the type of cooler needed. Lower TDP processors are ideal for compact builds and laptops, while higher TDP chips typically offer better sustained performance in demanding CPU benchmarks. Understanding power requirements helps ensure your system can deliver consistent performance without thermal throttling.
AMD Socket FP8 Platform & Socket
Compatibility information
The Ryzen AI 9 HX 370 uses the AMD Socket FP8 socket, which determines motherboard compatibility. Choosing the right platform is essential for building a system around this processor. The socket type also influences available features like PCIe lanes, memory support, and upgrade paths. When comparing CPU benchmarks, ensure you're looking at processors compatible with your existing or planned motherboard to make informed purchasing decisions.
AMD Socket FP8 Memory Support
RAM compatibility and speeds
Memory support specifications for the AI 9 HX 370 define which RAM types and speeds are compatible. Faster memory can significantly improve CPU benchmark performance, especially in memory-intensive applications and gaming. The memory controller integrated into the Ryzen AI 9 HX 370 determines maximum supported speeds and channels. Dual-channel or quad-channel memory configurations can double or quadruple memory bandwidth, providing noticeable performance gains in content creation and scientific workloads.
AMD's Ryzen AI 9 HX 370 Integrated Graphics
Built-in GPU specifications
The AMD Ryzen AI 9 HX 370 includes integrated graphics, eliminating the need for a dedicated GPU in basic computing scenarios. Integrated graphics are ideal for office productivity, video playback, and light gaming. While not designed for demanding GPU benchmarks, the iGPU in the AI 9 HX 370 provides hardware video encoding and decoding capabilities. This makes the processor suitable for compact builds, HTPCs, and systems where power efficiency is prioritized over gaming performance.
Ryzen AI 9 HX 370 by AMD AI & NPU
Neural processing capabilities
The AMD Ryzen AI 9 HX 370 features a dedicated Neural Processing Unit (NPU) for accelerating AI and machine learning workloads. This specialized hardware offloads AI tasks from the CPU cores, improving efficiency in applications like real-time video enhancement, noise cancellation, and intelligent assistants. NPU performance is measured in TOPS (Tera Operations Per Second), with higher values indicating faster AI processing. The NPU enables on-device AI capabilities without relying on cloud services, enhancing privacy and reducing latency.
Ryzen AI 9 HX 370 Product Information
Release and pricing details
The AMD Ryzen AI 9 HX 370 is manufactured by AMD and represents their commitment to delivering competitive CPU performance. Understanding the release date and pricing helps contextualize benchmark comparisons with other processors from the same generation. Launch pricing provides a baseline for evaluating value, though street prices often differ. Whether you're building a new system or upgrading, the Ryzen AI 9 HX 370 by AMD offers a specific balance of performance, features, and cost within AMD's product lineup.
Ryzen AI 9 HX 370 Benchmark Scores
3dmark_16_threadsSource
3DMark 16-thread tests AMD Ryzen AI 9 HX 370 with heavily-threaded game workloads. This shows performance in games that fully utilize high-core-count CPUs for maximum parallelization.
3dmark_2_threadsSource
3DMark 2-thread tests AMD Ryzen AI 9 HX 370 performance with dual-threaded game workloads. This shows capability in games that use limited parallelization typical of older titles. Some game engines still primarily utilize only two threads for core logic.
3dmark_4_threadsSource
3DMark 4-thread tests AMD Ryzen AI 9 HX 370 with quad-threaded game workloads. This shows performance in games optimized for four cores, which represents many current titles.
3dmark_8_threadsSource
3DMark 8-thread tests AMD Ryzen AI 9 HX 370 with octa-threaded game workloads. This shows performance in well-optimized modern games that leverage eight threads effectively. AAA titles increasingly scale to eight or more threads.
3dmark_max_threadsSource
3DMark max threads tests AMD Ryzen AI 9 HX 370 using all available threads for game workloads. This shows the maximum parallel gaming performance capability of the processor. This reveals the ceiling of what games could achieve with perfect thread scaling.
3dmark_single_threadSource
3DMark CPU single-thread tests how AMD Ryzen AI 9 HX 370 handles game physics and AI calculations on one core. This is critical for games that rely on single-thread performance. Many games still bottleneck on single-core speed despite having multiple threads.
cinebench_cinebench_r15_multicoreSource
Cinebench R15 multi-core renders a complex 3D scene using all CPU threads simultaneously. This test reveals how AMD Ryzen AI 9 HX 370 performs in parallel rendering workloads like video production and 3D animation. Higher scores mean faster render times in professional applications.
cinebench_cinebench_r15_singlecoreSource
Cinebench R15 single-core measures the speed of one CPU thread rendering 3D geometry. This score indicates how AMD Ryzen AI 9 HX 370 handles tasks that can't be parallelized across multiple cores. Games and many desktop applications still rely heavily on single-thread performance.
cinebench_cinebench_r20_multicoreSource
Cinebench R20 multi-core uses a scene requiring 4x more computational power than R15. This test better reflects modern CPU capabilities for professional rendering on AMD Ryzen AI 9 HX 370.
cinebench_cinebench_r20_singlecoreSource
Cinebench R20 single-core tests one thread against a more demanding scene than R15. This reveals the true single-thread rendering capability of AMD Ryzen AI 9 HX 370.
cinebench_cinebench_r23_multicoreSource
Cinebench R23 multi-core is the current standard for CPU rendering benchmarks with a 10-minute minimum runtime. This extended test reveals sustained performance of AMD Ryzen AI 9 HX 370 after thermal limits kick in.
cinebench_cinebench_r23_singlecoreSource
Cinebench R23 single-core measures sustained single-thread performance over 10 minutes. This reveals how AMD Ryzen AI 9 HX 370 maintains boost clocks under continuous load.
geekbench_multicoreSource
Geekbench multi-core tests AMD Ryzen AI 9 HX 370 across real-world workloads including image processing, machine learning, and data compression. All available threads are utilized to measure parallel performance.
geekbench_singlecoreSource
Geekbench single-core measures how fast one thread of AMD Ryzen AI 9 HX 370 can process tasks like web browsing and document editing. This score correlates with how snappy the system feels during normal use.
passmark_data_compressionSource
Data compression measures how fast AMD Ryzen AI 9 HX 370 can compress and decompress files. This is important for archiving, backup software, and file transfer applications.
passmark_data_encryptionSource
Data encryption tests how fast AMD Ryzen AI 9 HX 370 can encrypt information using AES and other algorithms. This is critical for security applications, VPNs, and secure communications. Modern CPUs with AES-NI hardware acceleration score significantly higher. Disk encryption, secure browsing, and VPN performance all benefit from faster encryption.
passmark_extended_instructionsSource
Extended instructions tests AMD Ryzen AI 9 HX 370 performance using SSE and AVX instruction sets. These specialized instructions accelerate multimedia, scientific, and AI workloads.
passmark_find_prime_numbersSource
Find prime numbers tests AMD Ryzen AI 9 HX 370 ability to identify primes through intensive calculations. This is a pure computational benchmark that stresses CPU arithmetic units without memory bottlenecks. The test reveals raw mathematical processing capability.
passmark_floating_point_mathSource
Floating point math measures how AMD Ryzen AI 9 HX 370 handles decimal calculations critical for scientific computing and 3D rendering. This affects performance in CAD and physics simulations.
passmark_integer_mathSource
Integer math tests how fast AMD Ryzen AI 9 HX 370 processes whole number calculations essential for database operations and compression algorithms. This is fundamental to general computing performance. Encryption and data processing heavily rely on integer operations. Higher scores benefit applications that work primarily with non-decimal numbers.
passmark_multithreadSource
PassMark multi-thread tests AMD Ryzen AI 9 HX 370 across integer math, floating point, compression, and encryption using all cores. This provides an overall multi-threaded CPU performance score. The combined result reflects general-purpose parallel computing capability. Results can be compared against millions of submissions in the PassMark database.
passmark_physicsSource
Physics tests how AMD Ryzen AI 9 HX 370 handles physics simulations used in games and engineering software. This measures performance in calculating object interactions and movements.
passmark_random_string_sortingSource
Random string sorting measures how fast AMD Ryzen AI 9 HX 370 can organize text data. This is important for database operations, search indexing, and data processing applications.
passmark_single_threadSource
PassMark single-thread measures per-core performance of AMD Ryzen AI 9 HX 370 across various computational tasks. This score is critical for gaming and single-threaded applications. Higher scores mean better system responsiveness in everyday use.
passmark_singlethreadSource
PassMark single-thread measures per-core performance of AMD Ryzen AI 9 HX 370 across various computational tasks. This score is critical for gaming and single-threaded applications. Higher scores mean better system responsiveness in everyday use. Many legacy applications and games still depend heavily on single-thread speed.
About AMD Ryzen AI 9 HX 370
The AMD Ryzen AI 9 HX 370 is a 12-core, 24-thread mobile processor built on TSMC's 4 nm process, featuring a Zen 5 architecture under the Strix Point codename. It operates within a 28 W TDP class and sits at the 90th percentile of all CPUs in the database, with an average benchmark score of 38,195. The chip pairs a 2.00 GHz base clock with a 5.10 GHz boost clock, and its benchmark results reveal a distinct performance profile that separates single-thread agility from multi-thread throughput.
Single-Thread vs Multi-Thread Behavior
The benchmark data reveals a processor that scales strongly with thread count, but the shape of that scaling is more nuanced than a simple linear progression. In 3DMark testing, the single-thread score of 1,153 more than doubles to 2,179 in the 2-thread test, indicating efficient use of a second core. The 4-thread score jumps to 3,970, and 8-thread reaches 6,992, showing that the architecture extracts near-linear gains up to eight threads. The max-thread score of 9,725 is only 28% higher than the 8-thread result, however, which signals that the final four cores contribute meaningfully but with diminishing returns typical of shared cache and memory bandwidth limits.
Cinebench results reinforce this pattern. The R23 multi-core score of 29,870 versus a single-core score of 4,217 produces a multi-to-single ratio of roughly 7.1x, which is strong for a 12-core part but not exceptional—the ratio is lower than the 12x one might naively expect from core count alone. PassMark data shows a similar story: single-thread performance scores 3,973, while the multithread score of 35,148 is just under 9x higher. This suggests the chip's real-world advantage in heavily threaded workloads is substantial, but the 28 W TDP class imposes thermal and power ceilings that prevent perfect core scaling.
For real workloads, this split means the HX 370 excels at parallel tasks like video rendering, code compilation, and data processing, but it does not sacrifice responsiveness in lightly threaded applications. The 3DMark 16-thread score of 9,365 is only 3.7% below the max-thread score of 9,725, indicating that the chip is already near its performance ceiling when 16 threads are active, and the additional 8 threads provide marginal gains. This behavior suggests a design tuned for laptop-class power envelopes where sustained multi-thread boosts are limited, while bursty single-thread performance remains competitive.
Power and Thermals
The 28 W TDP class places the Ryzen AI 9 HX 370 firmly in the ultraportable and thin-and-light laptop segment. This is a low-power design relative to desktop or high-performance mobile parts, and the data confirms that the chip's thermal solution does not need to be exotic. A capable air cooler with a modest heat pipe arrangement should suffice for sustained workloads, as the 4 nm process node from TSMC provides the efficiency headroom to maintain boost clocks under moderate thermal loads.
The socket is AMD Socket FP8, which is a BGA-style package designed for soldered installation—this means end users cannot upgrade or replace the processor, and cooling solutions are fixed by the laptop OEM rather than user-selectable. The 16 MB of L3 cache and dual-channel memory bus with 89.6 GB/s bandwidth are consistent with a power-conscious design, as wider memory interfaces would increase both power draw and cost. The integrated Radeon 890M graphics further consolidate the package, eliminating the need for a discrete GPU in many productivity scenarios and reducing overall system power requirements.
Given the 28 W TDP, thermal throttling is unlikely to be a primary concern in well-designed chassis. The benchmark scores, particularly the R23 multi-core result of 29,870, indicate that the chip can sustain high throughput without requiring aggressive cooling solutions. The absence of a multiplier unlock confirms this is not an enthusiast overclocking part; instead, it is a tuned mobile processor where the OEM's cooling design dictates sustained performance. Users should expect consistent performance in standard thin-and-light laptops, with no need for oversized cooling systems or high-airflow chassis.
Benchmark Performance
The average benchmark score of 38,195 places the Ryzen AI 9 HX 370 in the 90th percentile of all CPUs, a strong showing for a mobile part. The highest single benchmark result is PassMark data compression at 445,719, while the lowest is PassMark find prime numbers at 126, illustrating the chip's divergent strengths and weaknesses. In integer math, the score of 122,933 is notably high, while floating-point math reaches 76,892—both figures indicate strong general-purpose compute capability.
In 3DMark, the chip's single-thread score of 1,153 is relatively modest, but the 16-thread score of 9,365 shows excellent scaling for gaming and content creation workloads that leverage multiple cores. The Cinebench R23 multi-core score of 29,870 is particularly strong for a 28 W part, rivaling many desktop processors from previous generations. PassMark multithread performance of 35,148 confirms this trend, while the single-thread score of 3,973 is competitive but not class-leading.
The data shows the chip is well-balanced rather than specialized. Memory bandwidth of 89.6 GB/s supports the dual-channel DDR5 and LPDDR5X memory support, and the PCIe Gen 4 interface with 16 lanes provides adequate connectivity for modern SSDs and GPUs. The 4 nm process node and 233 mm² die size indicate a dense, efficient design, and the 80 KB L1 cache per core with 1 MB L2 per core provides sufficient on-die storage for latency-sensitive workloads.
How It Compares
The Intel Xeon w3-2525 is the closest rival, with an average score of 38,122 versus the HX 370's 38,195—a delta of 0.2% in favor of the AMD part. This is a statistical tie, meaning the two processors deliver nearly identical overall performance despite their different market positions. The Xeon is a workstation-class chip, while the HX 370 is a mobile part, yet their benchmark averages align closely, suggesting the AMD chip's efficiency does not come at a significant performance cost.
The Intel Core i5-14490F trails by 0.2%, with an average score of 38,288. This is another near-tie, and the delta is within run-to-run variance. The HX 370 matches a desktop-oriented Core i5 in aggregate benchmarks, which is remarkable given the TDP disparity. However, this rival comparison does not account for power draw or thermal characteristics, only raw average scores.
The Intel Core i5-13600K scores 38,085, which is 0.3% lower than the HX 370. This is effectively a dead heat, with the AMD chip holding a razor-thin edge. The i5-13600K is a popular desktop part, and the HX 370's ability to match it in average benchmark scores highlights the efficiency of the Zen 5 architecture. Still, the delta is negligible and should not be interpreted as a meaningful performance win.
The Intel Core Ultra 5 225F has an average score of 38,305, which is 0.3% higher than the HX 370. This is the only rival that edges out the AMD chip, but the margin is minuscule. The Core Ultra 5 225F represents Intel's newer architecture, and its slight lead suggests the two companies are closely matched at this performance tier. For users, the choice between these processors would depend on platform features and availability rather than benchmark scores alone.
FAQ
Q: How does the Ryzen AI 9 HX 370 compare to its closest rival in aggregate performance?
A: The AMD chip's average benchmark score is 38,195, which is 0.2% higher than the Intel Xeon w3-2525 (38,122) and 0.3% higher than the Intel Core i5-13600K (38,085). It trails the Intel Core Ultra 5 225F by 0.3%, whose average score is 38,305.
Q: What is the processor's threading capability?
A: The Ryzen AI 9 HX 370 has 12 cores and 24 threads, with a base clock of 2.00 GHz and a boost clock of 5.10 GHz. The 3DMark max-thread score is 9,725, while the 16-thread score is 9,365.
Q: What cache hierarchy does the chip use?
A: It features 80 KB of L1 cache per core, 1 MB of L2 cache per core, and 16 MB of shared L3 cache. The total L3 cache is 16 MB, and there is no 3D V-Cache option listed.
Q: What memory and expansion options are supported?
A: The processor supports DDR5 and LPDDR5X memory in a dual-channel configuration, providing 89.6 GB/s of memory bandwidth. It offers PCIe Gen 4 with 16 lanes for CPU-attached devices, and ECC memory is not supported.
Q: What is the integrated graphics solution?
A: The chip includes Radeon 890M integrated graphics, which eliminates the need for a discrete GPU in basic graphics and media workloads. The integrated GPU is part of the same FP8 socket package.
Q: What is the processor's production status and process node?
A: The Ryzen AI 9 HX 370 is currently Active in production, manufactured on TSMC's 4 nm process with a die size of 233 mm². It uses the AMD Socket FP8 and is based on the Zen 5 architecture under the Strix Point codename.
The Intel Equivalent of Ryzen AI 9 HX 370
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