AMD EPYC 9275F 24c/48t 4.1GHz-4.8GHz 320W (100-000001144)

Benchmark overview — AMD EPYC 9275F

The AMD EPYC 9275F is a frequency-focused server processor designed for workloads where
per-core performance, low latency, and deterministic behavior under load
are more important than maximum thread density. With 24 cores and aggressive boost characteristics,
it targets a class of enterprise and technical workloads that do not scale efficiently to dozens
or hundreds of threads.

Within the EPYC 9005 family, the 9275F represents a deliberate architectural trade-off.
Instead of maximizing core count, it concentrates power and thermal budget into fewer cores,
allowing them to sustain higher effective frequencies under real server loads.
This positioning makes it fundamentally different from dense SKUs intended for throughput-heavy
virtualization or HPC clusters.

From a benchmarking standpoint, the EPYC 9275F consistently demonstrates very strong
single-thread performance for a server CPU, combined with solid but intentionally limited
multi-thread throughput. This balance reflects its intended use: reducing serial bottlenecks,
improving tail latency, and maintaining predictable execution times in mixed or lightly
parallel workloads.

In-class performance comparison (frequency-oriented server CPUs)

The following figures are based on publicly available, repeatable benchmark measurements
from real systems. They illustrate relative positioning rather than synthetic peak claims.

CPU	Cores / Threads	PassMark CPU Mark	Single-Thread Score
EPYC 9174F	16 / 32	~56,000	~3,650
EPYC 9275F	24 / 48	~83,000	~3,810
EPYC 9474F	32 / 64	~108,000	~3,900

The EPYC 9275F offers a substantial uplift over lower-core frequency SKUs in total compute
capacity, while remaining close to the top of the stack in single-thread performance.
Compared to 32-core frequency-oriented models, it trades some aggregate throughput for
more consistent boost behavior and lower per-core contention.

Detailed benchmark characteristics

Beyond aggregate scores, individual benchmark components help explain where the 9275F excels.
Strong integer results benefit control-heavy and logic-driven workloads, while floating-point
performance remains competitive for moderate parallel compute.

Encryption and compression metrics indicate solid performance for security layers, storage
stacks, and data processing pipelines. Single-thread math and extended instruction tests
highlight the benefits of higher IPC and sustained frequency under load.

Cross-generation comparison (24-core class)

CPU	Architecture	PassMark CPU Mark	Single-Thread Score
EPYC 7443P	Zen 3	~60,000	~3,100
EPYC 9474F	Zen 4	~72,000	~3,600
EPYC 9275F	Zen 5	~83,000	~3,810

At the same core count, Zen 5 delivers a clear uplift in both single-thread and aggregate
performance. The gains appear not only in peak scores but also in sustained workloads,
where improved IPC and memory behavior reduce stalls and synchronization penalties.

Cost-aware alternatives (planning comparison)

Pricing is taken strictly from your provided table and used only for planning-level analysis.

CPU	Indicative RRP (€)	PassMark CPU Mark	Performance per €
EPYC 9275F	2,356	~83,000	~35.2
EPYC 9555	3,938	~185,000	~47.0
EPYC 9655P	4,055	~210,000	~51.8

From a pure throughput-per-euro perspective, higher-core models appear more efficient. However, this metric alone ignores several critical factors: software licensing, power density, cooling constraints, and diminishing returns in workloads that cannot fully exploit very high thread counts.

In environments where performance collapses beyond a few dozen threads, the 9275F often delivers better effective value, despite lower aggregate efficiency on paper.

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Multiple CPUs vs fewer high-end CPUs

Planning example for mixed workloads with partial parallelism:

2 × EPYC 9275F
Total CPU Mark: ~166,000
Total CPU cost: ~€4,712

1 × EPYC 9655P
Total CPU Mark: ~210,000
Total CPU cost: ~€4,055

While the single high-core CPU wins in raw throughput, the dual-node configuration offers advantages in fault isolation, scheduling flexibility, and boost headroom. This comparison illustrates planning logic rather than guaranteed results. Network latency, NUMA topology, memory bandwidth, and licensing models often dominate the final outcome.

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How to read these numbers correctly

Benchmark results describe relative behavior under controlled conditions, not exact real-world performance.
Single-thread metrics matter for responsiveness, coordination threads, and tail latency.
Multi-thread metrics matter for sustained throughput in well-parallelized workloads.
Price-to-performance ratios support budgeting decisions but do not capture system-level constraints.
At this tier, memory topology, NUMA locality, power limits, and cooling frequently become the true performance bottlenecks.

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Practical takeaway

The AMD EPYC 9275F is a strong choice for latency-sensitive, license-constrained, or coordination-heavy server workloads where high per-core performance delivers more value than extreme core density. It is particularly well suited for databases, infrastructure services, CI systems, EDA workloads, and GPU-attached nodes where the CPU acts as a high-performance coordinator.

For fully parallel, throughput-bound tasks such as large-scale virtualization or HPC batch processing, higher-core EPYC models are a better fit. When workload efficiency drops beyond a few dozen threads, the 9275F often provides more predictable performance with lower operational complexity.

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