AMD Ryzen AI 7 350
AMD processor specifications and benchmark scores
At a Glance
AMDAMD Ryzen AI 7 350 Specifications
Ryzen AI 7 350 Core Configuration
Processing cores and threading
The AMD Ryzen AI 7 350 features 8 physical cores and 16 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 7 350 Clock Speeds
Base and boost frequencies
Clock speed is a critical factor in Ryzen AI 7 350 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 7 350 by AMD can dynamically adjust its frequency based on workload and thermal headroom.
AMD's Ryzen AI 7 350 Cache Hierarchy
L1, L2, L3 cache sizes
Cache memory is ultra-fast storage built directly into the AI 7 350 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 7 350'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 7 350 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 7 350 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 7 350 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 7 350 Power & Thermal
TDP and power specifications
The AMD Ryzen AI 7 350 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 7 350 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 7 350 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 7 350 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 7 350 Integrated Graphics
Built-in GPU specifications
The AMD Ryzen AI 7 350 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 7 350 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 7 350 by AMD AI & NPU
Neural processing capabilities
The AMD Ryzen AI 7 350 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 7 350 Product Information
Release and pricing details
The AMD Ryzen AI 7 350 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 7 350 by AMD offers a specific balance of performance, features, and cost within AMD's product lineup.
Ryzen AI 7 350 Benchmark Scores
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 7 350 performs in parallel rendering workloads.
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 7 350 handles tasks that can't be parallelized.
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 7 350. The more demanding workload provides better differentiation between current-generation processors. Content creators and 3D artists use this benchmark to estimate real-world render performance.
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 7 350. The increased complexity provides more accurate performance differentiation between modern CPUs. Single-thread performance remains critical for gaming and applications with serial bottlenecks.
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 7 350 after thermal limits kick in. The longer duration exposes cooling limitations that shorter benchmarks miss. Professional users rely on R23 scores to predict real-world rendering performance under sustained workloads.
cinebench_cinebench_r23_singlecoreSource
Cinebench R23 single-core measures sustained single-thread performance over 10 minutes. This reveals how AMD Ryzen AI 7 350 maintains boost clocks under continuous load. The extended runtime shows whether thermal throttling affects single-core performance. This score is particularly important for understanding real-world responsiveness beyond initial boost behavior.
passmark_data_compressionSource
Data compression measures how fast AMD Ryzen AI 7 350 can compress and decompress files. This is important for archiving, backup software, and file transfer applications. Higher scores mean faster ZIP, RAR, and backup operations. Software distribution and cloud storage services benefit from efficient compression performance.
passmark_data_encryptionSource
Data encryption tests how fast AMD Ryzen AI 7 350 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.
passmark_extended_instructionsSource
Extended instructions tests AMD Ryzen AI 7 350 performance using SSE and AVX instruction sets. These specialized instructions accelerate multimedia, scientific, and AI workloads. Video encoding and image processing heavily utilize SIMD capabilities. Machine learning inference and scientific computing also benefit from strong SIMD performance.
passmark_find_prime_numbersSource
Find prime numbers tests AMD Ryzen AI 7 350 ability to identify primes through intensive calculations. This is a pure computational benchmark that stresses CPU arithmetic units without memory bottlenecks.
passmark_floating_point_mathSource
Floating point math measures how AMD Ryzen AI 7 350 handles decimal calculations critical for scientific computing and 3D rendering. This affects performance in CAD and physics simulations. Game physics engines also rely heavily on floating point operations. Scientific and engineering applications benefit significantly from higher floating point scores.
passmark_integer_mathSource
Integer math tests how fast AMD Ryzen AI 7 350 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.
passmark_multithreadSource
PassMark multi-thread tests AMD Ryzen AI 7 350 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.
passmark_physicsSource
Physics tests how AMD Ryzen AI 7 350 handles physics simulations used in games and engineering software. This measures performance in calculating object interactions and movements. Games with complex physics benefit from higher scores. Engineering applications like structural analysis and fluid dynamics also rely on physics computation.
passmark_random_string_sortingSource
Random string sorting measures how fast AMD Ryzen AI 7 350 can organize text data. This is important for database operations, search indexing, and data processing applications. Applications that process large amounts of text benefit from higher scores. Database servers and search engines rely heavily on efficient string manipulation.
passmark_single_threadSource
PassMark single-thread measures per-core performance of AMD Ryzen AI 7 350 across various computational tasks. This score is critical for gaming and single-threaded applications.
passmark_singlethreadSource
PassMark single-thread measures per-core performance of AMD Ryzen AI 7 350 across various computational tasks. This score is critical for gaming and single-threaded applications. Higher scores mean better system responsiveness in everyday use.
About AMD Ryzen AI 7 350
The AMD Ryzen AI 7 350 is a mobile processor built on the Zen 5 architecture, codenamed Krackan Point. It packs 8 cores and 16 threads with a base clock of 2000.00 MHz and a boost clock of 5.00 GHz. Fabricated on TSMC's 4 nm process, this chip fits into the AMD Socket FP8 and targets the mobile segment with a 28 W TDP. Released on 2025-01-05, it is an active production part. In aggregate benchmark scoring, the Ryzen AI 7 350 achieves an average score of 33654, placing it in the 88th percentile of all CPUs tested.
Benchmark Performance
The Ryzen AI 7 350 delivers a balanced performance profile that places it in direct competition with several desktop-class processors. Its average benchmark score of 33654 places it just 0.1% behind the AMD Ryzen 9 3900XT and 0.2% behind the Intel Core 7 250H. Conversely, it leads the Intel Core i5-12600HX and Intel Core i5-14600T by 0.8% each. This tight clustering indicates that the mobile chip punches well above its 28 W power envelope, matching or exceeding the output of older high-core-count desktop parts.
Looking at Cinebench results, the multi-core scores tell a story of strong parallel throughput. The R15 multicore score of 2095, R20 multicore of 8731, and R23 multicore of 20790 demonstrate consistent scaling across generations of the Cinebench suite. These figures suggest a processor capable of sustaining heavy multi-threaded workloads like 3D rendering and video encoding. The single-core scores are equally impressive: 295 in R15, 1232 in R20, and 2935 in R23. A single-core R23 score of 2935 is notably high for a mobile part, indicating excellent per-thread efficiency.
Passmark results reinforce this picture. The multithread score of 24506 and single-thread score of 3910 show a healthy ratio, typical for an 8-core/16-thread design. In specific workloads, the data reveals strengths. The integer math score of 85686 and floating point math score of 52547 are substantial, while data compression reaches 295805. The extended instructions score of 21020 highlights strong SIMD performance, useful for scientific and financial workloads. The physics score of 1328 and find prime numbers score of 77 are lower, but these are often more memory-latency sensitive. Random string sorting at 32301 indicates decent memory subsystem performance, backed by the dual-channel 89.6 GB/s memory bandwidth. The overall percentile of 88 places it in a high tier of all CPUs in the database, underscoring the efficiency of the Zen 5 architecture on the 4 nm node.
Power and Thermals
The Ryzen AI 7 350 is specified with a 28 W TDP, a figure that categorizes it for thin-and-light laptops and compact mobile workstations. This TDP class typically allows for passive cooling in some ultrabooks or a single low-profile fan in most designs. The TSMC 4 nm process node is instrumental in achieving this efficiency, allowing high clock speeds (boost up to 5.00 GHz) without a corresponding spike in thermal output. The die size of 195 mm² is substantial for a mobile chip, but the architecture's efficiency keeps power draw in check.
The memory support for DDR5 and LPDDR5X, with a dual-channel bus delivering 89.6 GB/s, suggests that the memory controller is not a power bottleneck. The integrated Radeon 860M graphics add to the package, but the CPU's 28 W TDP is the defining constraint for system designers. Consequently, a capable air cooler or a modest vapor chamber should be sufficient to maintain sustained performance. The data does not indicate any thermal throttling issues, but the 28 W envelope inherently limits peak multi-core frequency compared to higher-TDP parts.
Who Should Consider It
This processor is well-suited for a specific set of workloads based on the benchmark data.
For content creators, the multi-core Cinebench scores (20790 in R23) and Passmark multithread score of 24506 indicate strong performance in video editing, 3D modeling, and batch photo processing. The data compression score of 295805 is particularly useful for archiving and file management tasks. The high floating-point math score of 52547 further supports scientific computing and engineering simulations.
For office and productivity users, the single-thread performance is excellent. A single-thread Passmark score of 3910 and Cinebench R23 single-core of 2935 ensure snappy application launches, fluid spreadsheet manipulation, and responsive web browsing. The data encryption score of 14954 indicates adequate security for encrypted drives and VPN traffic.
For gamers, the integrated Radeon 860M provides a baseline for light gaming, but the CPU's strength lies in its ability to drive discrete GPUs in larger laptops. The 8 cores and 16 threads, combined with a 5.00 GHz boost clock, will not bottleneck modern graphics cards in most scenarios. The physics score of 1328 is moderate, but gaming physics are often offloaded to the GPU. The PCIe Gen 4 support with 16 lanes ensures adequate bandwidth for modern SSDs and GPUs.
FAQ
Q: What is the TDP of the AMD Ryzen AI 7 350?
A: The TDP is 28 W, which classifies it as a low-power mobile processor suitable for thin-and-light laptops.
Q: How does the Ryzen AI 7 350 compare to the Intel Core 7 250H?
A: In average benchmark score, the Ryzen AI 7 350 is 0.2% behind the Intel Core 7 250H, with scores of 33654 and 33725 respectively.
Q: Does the Ryzen AI 7 350 support ECC memory?
A: No, ECC memory is not supported. It supports DDR5 and LPDDR5X memory in a dual-channel configuration.
Q: What is the boost clock speed of this processor?
A: The boost clock is 5.00 GHz, while the base clock is 2000.00 MHz.
Q: What integrated graphics does it feature?
A: It features the Radeon 860M integrated graphics, which is part of the overall package.
Q: What socket does the Ryzen AI 7 350 use?
A: It uses the AMD Socket FP8.
Single-Thread vs Multi-Thread Behavior
The Ryzen AI 7 350 exhibits a distinct split between single-thread and multi-thread performance, which is critical for understanding its real-world behavior. In Cinebench R23, the single-core score is 2935, while the multi-core score is 20790. The scaling between these two is strong, indicating excellent core-to-core communication and minimal contention across the 8 cores and 16 threads.
In Passmark, the single-thread score of 3910 and multithread score of 24506 show a similar pattern. The slight difference between the Cinebench and Passmark scaling can be attributed to the specific workload characteristics; Cinebench is highly parallel, while Passmark includes some tasks with lower parallel efficiency.
For real workloads, this means the processor excels in tasks that can utilize all threads, such as video rendering, code compilation, and 3D rendering. The high single-thread score ensures that older applications or those that are not well-optimized for multi-threading still perform admirably. For instance, office suites and web browsers are largely single-threaded, and a score of 3910 in Passmark single-thread places it in a high tier for such tasks. The data encryption score of 14954 and extended instructions score of 21020 also benefit from strong single-thread performance, as many encryption algorithms are sequential.
The balance between these two aspects is a hallmark of a well-designed mobile processor. It allows the Ryzen AI 7 350 to feel fast in everyday use while still delivering substantial throughput for demanding parallel workloads. The 0.8% lead over the Intel Core i5-12600HX and i5-14600T in average score suggests that the overall package is competitive, even though those rivals may have different single-thread or multi-thread peaks. The 0.1% and 0.2% deficit to the Ryzen 9 3900XT and Core 7 250H, respectively, indicates that the Ryzen AI 7 350 is essentially at parity with these parts, despite being a much lower-TDP mobile chip. This is a testament to the efficiency of the Zen 5 architecture on the 4 nm process node. The cache hierarchy, with 80 KB of L1 per core, 1 MB of L2 per core, and 8 MB of L3, contributes to the low latency that benefits single-threaded tasks.
The Intel Equivalent of Ryzen AI 7 350
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