Intel’s Sierra Forest CPU Falls Short in Benchmark Against AMD’s Zen 4c CPUs

Intel’s upcoming Sierra Forest CPU has been garnering attention in the tech industry. One of the most interesting aspects of this CPU is its focus on efficiency cores, or E-cores, which are aimed at maximizing core density. However, the first benchmark results for Sierra Forest have recently surfaced online, and it seems that Intel may have a tough battle ahead when it comes to competing against AMD’s chip.

Benchmark results

The appearance of the first benchmark for the Sierra Forest CPU has caused a stir in the tech community, especially as it provides an opportunity to compare its performance to that of AMD’s chips. Unfortunately for Intel, the benchmark results do not paint a positive picture. In fact, it seems that Sierra Forest falls short in this particular benchmark when compared to AMD’s Zen 4c CPUs.

Geekbench scores

Even though the official launch of Sierra Forest is still a few years away, Geekbench scores for an “unknown” Intel processor with 288 cores, speculated to be the Sierra Forest CPU, have emerged. These scores give us some insight into the potential performance of Intel’s upcoming CPU.

Performance Comparison

Based on the benchmark results, it is evident that Intel’s E-core CPU, represented by the “unknown” processor with 288 cores, offers reasonable performance for an efficiency-focused chip. However, when pitted against AMD’s Zen 4c CPUs, Sierra Forest falls noticeably behind.

Multi-core scores

Taking a closer look at the multi-core scores, we find that the 144-core Sierra Forest CPU is roughly on par with Intel’s current flagship Xeon CPUs, which boast 56 cores and 112 threads in a dual-socket configuration. While this may seem like respectable performance, it pales in comparison to AMD’s flagship 128-core, 256-thread CPU, which outperforms Sierra Forest by a significant margin.

E-core limitations

The performance gap between Sierra Forest and AMD’s Zen 4c CPUs can be attributed to the limitations of the E-cores employed by Intel. Unlike AMD’s Zen 4c CPUs, Sierra Forest’s E-cores lack hyper-threading, which hinders their ability to handle multi-core workloads effectively.

Advantages of AMD’s Zen 4 CPU

One of the key advantages of AMD’s Zen 4c CPU lies in its ability to run two threads per core. This gives AMD’s 128-core CPU a substantial advantage, with 256 threads available for multi-core workloads. In contrast, Intel’s Sierra Forest struggles to match this level of thread performance due to its E-cores’ lack of hyper-threading.

Single-core performance

Sierra Forest’s single-core performance is also noteworthy. When compared to Intel’s Xeon chips, which utilize performance-focused P-cores, Sierra Forest’s single-core score is approximately half of what the Xeon chips achieve. This discrepancy showcases the trade-off between efficiency and raw power, and reinforces the specific design focus of Sierra Forest.

In fairness to Intel, it is important to consider that Sierra Forest is primarily designed with maximum efficiency in mind. Consequently, Geekbench scores may not provide a comprehensive assessment of its capabilities, especially in a data center environment where workloads may vary significantly. It is essential to wait for further testing and real-world scenarios before drawing final conclusions about Sierra Forest’s performance.

Intel’s Sierra Forest CPU, featuring efficiency cores (E-cores) for maximum core density, faces a formidable challenge in terms of performance when compared to AMD’s Zen 4c CPUs. The benchmark results, represented by the Geekbench scores, indicate that Sierra Forest falls short in both multi-core and single-core performance. While Sierra Forest offers decent performance for an efficiency-focused chip, it struggles to match the capabilities of AMD’s Zen 4c CPUs’ multi-threading advantage. Nonetheless, it is important to consider that Geekbench scores do not provide a complete picture, and real-world performance may vary. As the launch of Sierra Forest approaches in early 2024, more comprehensive testing will shed light on its true potential in data center applications.

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