Apple M4 Max (16 cores) vs EPYC 9254

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Aggregate performance score

EPYC 9254
2022
24 cores / 48 threads, 200 Watt
42.71
+52.7%
Apple M4 Max (16 cores)
2024
16 cores / 16 threads, 90 Watt
27.97

EPYC 9254 outperforms Apple M4 Max (16 cores) by an impressive 53% based on our aggregate benchmark results.

Primary details

Comparing EPYC 9254 and Apple M4 Max (16 cores) processor market type (desktop or notebook), architecture, sales start time and price.

Place in the ranking55168
Place by popularitynot in top-100not in top-100
Cost-effectiveness evaluation16.59no data
Market segmentServerLaptop
SeriesAMD EPYCApple M4
Power efficiency20.2129.41
Architecture codenameGenoa (2022−2023)no data
Release date10 November 2022 (2 years ago)30 October 2024 (less than a year ago)
Launch price (MSRP)$2,299no data

Cost-effectiveness evaluation

Performance per price, higher is better.

no data

Detailed specifications

EPYC 9254 and Apple M4 Max (16 cores) basic parameters such as number of cores, number of threads, base frequency and turbo boost clock, lithography, cache size and multiplier lock state. These parameters indirectly say of CPU speed, though for more precise assessment you have to consider their test results.

Physical cores24 (Tetracosa-Core)16 (Hexadeca-Core)
Threads4816
Base clock speed2.9 GHzno data
Boost clock speed4.15 GHz4.51 GHz
Multiplier29no data
L1 cache64K (per core)no data
L2 cache1 MB (per core)no data
L3 cache128 MB (shared)no data
Chip lithography5 nm, 6 nm3 nm
Die size4x 72 mm2no data
Number of transistors26,280 millionno data
64 bit support++

Compatibility

Information on EPYC 9254 and Apple M4 Max (16 cores) compatibility with other computer components: motherboard (look for socket type), power supply unit (look for power consumption) etc. Useful when planning a future computer configuration or upgrading an existing one. Note that power consumption of some processors can well exceed their nominal TDP, even without overclocking. Some can even double their declared thermals given that the motherboard allows to tune the CPU power parameters.

Number of CPUs in a configuration2no data
SocketSP5no data
Power consumption (TDP)200 Watt90 Watt

Technologies and extensions

Technological solutions and additional instructions supported by EPYC 9254 and Apple M4 Max (16 cores). You'll probably need this information if you require some particular technology.

AES-NI+-
AVX+-
Precision Boost 2+no data

Virtualization technologies

Virtual machine speed-up technologies supported by EPYC 9254 and Apple M4 Max (16 cores) are enumerated here.

AMD-V+-

Memory specs

Types, maximum amount and channel quantity of RAM supported by EPYC 9254 and Apple M4 Max (16 cores). Depending on the motherboard, higher memory frequencies may be supported.

Supported memory typesDDR5-4800no data
Maximum memory size6 TiBno data
Maximum memory bandwidth460.8 GB/sno data

Graphics specifications

General parameters of integrated GPUs, if any.

Integrated graphics cardno dataApple M4 40-core GPU

Peripherals

Specifications and connection of peripherals supported by EPYC 9254 and Apple M4 Max (16 cores).

PCIe version5.0no data
PCI Express lanes128no data

Gaming performance

Pros & cons summary


Performance score 42.71 27.97
Recency 10 November 2022 30 October 2024
Physical cores 24 16
Threads 48 16
Chip lithography 5 nm 3 nm
Power consumption (TDP) 200 Watt 90 Watt

EPYC 9254 has a 52.7% higher aggregate performance score, and 50% more physical cores and 200% more threads.

Apple M4 Max (16 cores), on the other hand, has an age advantage of 1 year, a 66.7% more advanced lithography process, and 122.2% lower power consumption.

The EPYC 9254 is our recommended choice as it beats the Apple M4 Max (16 cores) in performance tests.

Be aware that EPYC 9254 is a server/workstation processor while Apple M4 Max (16 cores) is a notebook one.


Should you still have questions on choice between EPYC 9254 and Apple M4 Max (16 cores), ask them in Comments section, and we shall answer.

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AMD EPYC 9254
EPYC 9254
Apple M4 Max (16 cores)
M4 Max (16 cores)

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