AMD EPYC 73F3
AMD processor specifications and benchmark scores
At a Glance
AMDAMD EPYC 73F3 Specifications
EPYC 73F3 Core Configuration
Processing cores and threading
The AMD EPYC 73F3 features 16 physical cores and 32 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.
EPYC 73F3 Clock Speeds
Base and boost frequencies
Clock speed is a critical factor in EPYC 73F3 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 EPYC 73F3 by AMD can dynamically adjust its frequency based on workload and thermal headroom.
AMD's EPYC 73F3 Cache Hierarchy
L1, L2, L3 cache sizes
Cache memory is ultra-fast storage built directly into the EPYC 73F3 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 EPYC 73F3's cache configuration is optimized for both gaming performance and productivity workloads, minimizing data fetch delays during intensive computations.
Zen 3 Architecture & Process
Manufacturing and design details
The AMD EPYC 73F3 is built on AMD's 7 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 EPYC 73F3 incorporate advanced branch prediction and out-of-order execution for optimal performance.
Zen 3 Instruction Set Features
Supported CPU instructions and extensions
The EPYC 73F3 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.
EPYC 73F3 Power & Thermal
TDP and power specifications
The AMD EPYC 73F3 has a TDP (Thermal Design Power) of 240W, 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 SP3 Platform & Socket
Compatibility information
The EPYC 73F3 uses the AMD Socket SP3 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 SP3 Memory Support
RAM compatibility and speeds
Memory support specifications for the EPYC 73F3 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 EPYC 73F3 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.
EPYC 73F3 Product Information
Release and pricing details
The AMD EPYC 73F3 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 EPYC 73F3 by AMD offers a specific balance of performance, features, and cost within AMD's product lineup.
EPYC 73F3 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 EPYC 73F3 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 EPYC 73F3 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 EPYC 73F3.
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 EPYC 73F3.
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 EPYC 73F3 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 EPYC 73F3 maintains boost clocks under continuous load.
About AMD EPYC 73F3
AMD EPYC 73F3 targets a narrow but demanding slice of the server and workstation market: 16 Zen 3 cores running at high clocks, backed by 256 MB of shared L3 cache, all on a 240 W TDP envelope. The benchmark data shows a processor that leans heavily into single-threaded responsiveness while still delivering substantial multi-threaded throughput for its core count. Its 71st percentile ranking among all CPUs places it firmly in the upper-middle tier of the entire processor landscape, not as a flagship but as a specialist tool for workloads that reward per-core speed over raw core counts.
Who Should Consider It
The EPYC 73F3 is built for workloads where single-thread performance matters more than core count. The Cinebench R23 single-core score of 5532 is exceptionally high for a server chip, and the multi-core score of 39187 shows that the 16 cores scale well under load. This combination makes it a strong fit for database serving, financial modeling, and scientific simulations that are heavily dependent on per-thread latency, tasks where a single slow core becomes a bottleneck. The data suggests that software licensing models based on per-core pricing would also favor this chip, as fewer, faster cores can often outperform many slower ones in real-world throughput.
For content creation workloads, particularly 3D rendering and video encoding, the EPYC 73F3 is capable but not optimal. The Cinebench R20 multi-core score of 16458 and R15 multi-core score of 3949 indicate solid parallel performance, but the 16-core/32-thread configuration places it behind higher-core-count EPYC parts in purely threaded tasks. However, for interactive 3D viewport work or CAD applications that rely heavily on single-thread performance, the 5532 R23 single-core score provides a significant advantage over typical server processors. Office productivity and general business computing are trivial for this chip; the single-core scores would make everyday applications feel instant, but the 240 W TDP and server platform costs make it overkill for such use.
The average benchmark score of 11334, with a percentile of 71, indicates that the EPYC 73F3 beats roughly seven out of ten tested CPUs across all categories. This is not a processor for edge compute or low-power deployments; it is a performance-first part for a single socket that needs to handle mixed workloads with a bias toward snappy per-core responses.
Single-Thread vs Multi-Thread Behavior
The split between single-thread and multi-thread performance is the defining characteristic of this chip. In Cinebench R23, the single-core score of 5532 represents a 4.0 GHz boost clock delivering near-desktop-class performance in a server package. Compare this to the multi-core score of 39187, which is roughly 7.1 times the single-core score, a scaling factor that reflects 16 cores with simultaneous multithreading, but with diminishing returns from shared cache and memory bandwidth. The L3 cache of 256 MB (shared) is enormous and helps keep data local to each core, reducing memory stalls in single-threaded loops.
In Cinebench R20, the single-core score of 2323 and multi-core score of 16458 show a ratio of about 7.1, consistent with R23. The R15 results follow the same pattern: 557 single-core and 3949 multi-core, a ratio of 7.1. This consistency across all three Cinebench versions indicates that the processor’s architecture scales predictably, there are no thermal or power throttling surprises that degrade multi-thread performance after sustained load. The base clock of 3.50 GHz is high for a server part, meaning even all-core workloads operate at a pace that many rivals cannot match at similar core counts.
Real-world implications: single-threaded tasks like spreadsheet recalculation, script interpretation, or legacy single-threaded database queries will see near-best-in-class latency. Multi-threaded tasks that can use all 32 threads will benefit from the high base clock, but the 16-core limit means heavily threaded workloads (like 4K video rendering or large-scale physics simulations) will fall behind higher-core-count siblings. The data does not show a chip that excels at both extremes; it shows a chip that prioritizes per-core speed while still offering respectable parallel throughput.
Power and Thermals
With a TDP of 240 W, the EPYC 73F3 sits in the upper power tier for server processors. This is not a chip for passive cooling or dense 1U chassis with minimal airflow; it demands robust thermal solutions. The 7 nm process node from TSMC, with 33,200 million transistors spread across an 8x 81 mm² die configuration, means heat density is significant, but the Zen 3 architecture’s efficiency helps manage it at this TDP class. The base clock of 3.50 GHz and boost clock of 4.00 GHz indicate that the chip is designed to hold high frequencies under load, which requires sustained power delivery.
Cooling implications are straightforward: a capable air cooler with a large heatsink and high static-pressure fans, or a liquid cooling loop, is necessary to maintain boost clocks under multi-threaded loads. The data does not include specific thermal measurements, but the 240 W TDP aligns with processors that require server-grade cooling solutions, typically active heatsinks with multiple heat pipes or cold plates in liquid-cooled systems. For workstation builds, this means planning for adequate case airflow and a power supply capable of handling the peak draw, though no wattage figures beyond TDP are available. The production status is Active, so replacement coolers and compatible parts are widely available.
How It Compares
The EPYC 73F3’s nearest rivals, based on average benchmark scores, are a mix of older EPYC parts and a surprising consumer-class chip. The data reveals a tight cluster of performance, with deltas of only a few percentage points.
AMD EPYC 7402: The 7402 averages 11312, just 0.2% lower than the 73F3’s 11334. This is effectively a statistical tie. The 7402 is a second-generation Zen 2 part with a different core/thread configuration, but the benchmark data shows that in mixed workloads, the 73F3’s higher clocks and larger L3 cache offset any core-count advantages the 7402 might have. For buyers choosing between these, the decision comes down to platform maturity and specific software optimizations, not raw performance.
AMD EPYC 7452: The 7452 scores 11279, a 0.5% deficit. Again, within the margin of error for most real-world testing. The 7452 typically offers more cores, but the 73F3’s per-core performance closes the gap in the average benchmark composite. This suggests that the 73F3 is the better choice for single-threaded applications, while the 7452 might edge ahead in heavily parallel tasks, but the data shows the overall averages are nearly identical.
Intel Core i3-1305U: This is an outlier comparison, a low-power laptop chip scoring 11225, just 1% behind the 73F3. This is not a realistic competitor in any deployment scenario; it simply reflects that the average benchmark score includes a mix of workloads where the i3-1305U’s efficiency cores perform surprisingly well in single-threaded tests. The 73F3’s advantage in multi-threaded workloads is massive, as its R23 multi-core score of 39187 dwarfs anything a 15 W class chip could achieve. Treat this comparison as an artifact of the averaging methodology, not a meaningful choice.
AMD Ryzen 9 PRO 7945: The Ryzen 9 PRO 7945 scores 11469, which is 1.2% higher than the 73F3. This is the only rival that actually beats the 73F3 in the average benchmark composite. The Ryzen 9 PRO is a desktop-class chip with a similar core count but likely higher single-thread clocks. The 73F3’s server credentials, eight-channel DDR4 memory support, 128 PCIe Gen 4 lanes, give it a platform advantage for workstation builds that need massive I/O, but in pure CPU throughput, the Ryzen 9 PRO has a slight edge. The data indicates that the 73F3 is not the fastest 16-core chip available, but it is the fastest in its server socket class.
Platform and Compatibility
The EPYC 73F3 uses the AMD Socket SP3 platform, which is the foundation for the entire EPYC 7002 and 7003 series. It supports DDR4 memory across an eight-channel bus, yielding a maximum memory bandwidth of 204.8 GB/s. ECC memory is supported, which is mandatory for server reliability. The PCIe implementation is Gen 4 with 128 lanes available from the CPU alone, which is exceptional for workstation builds requiring multiple GPUs, NVMe storage arrays, or high-speed network cards. The architecture is Zen 3, codenamed Milan, fabricated on a 7 nm process by TSMC.
Upgrade path considerations: the SP3 socket is a mature platform, and the 73F3 is part of the Milan generation. While newer EPYC generations exist, the SP3 platform supports a wide range of processors from the previous Rome generation (Zen 2), meaning a system built around the 73F3 can potentially accept other SP3 chips if workloads change. However, the 73F3 is not multiplier-unlocked, so overclocking is not an option, but server platforms rarely need it. The memory bandwidth of 204.8 GB/s is substantial, and the eight-channel configuration ensures that memory-bound workloads do not starve the 16 cores. The 128 PCIe Gen 4 lanes are a key differentiator versus desktop platforms, allowing full-bandwidth connectivity for multiple accelerators without chipset bottlenecks.
The launch MSRP is $3521, reflecting its position as a high-end server part. The production status is Active, so it remains available for new system builds. The combination of high single-thread performance, massive L3 cache, and extensive I/O makes the EPYC 73F3 a niche but powerful option for single-socket servers that need to handle latency-sensitive workloads with a broad array of peripherals.
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