Ready Or Not

Ready Or Not is a demanding tactical shooter that stresses both CPU and GPU, and this pairing of the Intel Core i5-13400F with the NVIDIA GeForce RTX 4080 SUPER delivers a performance profile that is as lopsided as it is potent. The combination ranks 111th out of 1748 tested combos in this specific title, placing it firmly in the top 6% of all systems we have data for. This is a high-water mark, but the benchmark results reveal that the GPU is doing the heavy lifting at higher resolutions, while the CPU becomes the primary constraint at 1080p.

How This Combo Ranks

The overall ranking of 111 out of 1748 combos is a strong indicator of top-tier performance for Ready Or Not. This position is not merely a function of having a flagship GPU; it reflects a balanced synergy where the CPU can feed the GPU enough data to avoid severe bottlenecks at most settings. The data suggests that this combo outperforms the vast majority of systems, but it is not at the absolute peak, which is typically reserved for the highest-end CPUs paired with the same or better GPUs. The rank implies that while the experience is excellent, there is headroom left on the table, specifically in scenarios where the processor’s 10 cores and 16 threads are the limiting factor. This is a classic high-end pairing that excels in GPU-bound scenarios, which are most common at 4K and with Ultra settings, but it leaves some performance untapped at lower resolutions where the CPU’s capabilities are more heavily taxed.

GPU Role

The NVIDIA GeForce RTX 4080 SUPER is the undisputed performance leader in this pairing. Its role is defined by a massive 16 GB of GDDR6X memory on a 256-bit bus, providing a bandwidth of 736.3 GB/s. This memory configuration is crucial for Ready Or Not, as the game’s detailed environments and texture work can consume significant VRAM, especially at 4K resolution. The GPU’s boost clock of 2550 MHz, built on the Ada Lovelace architecture with 10240 shading units, allows it to process geometry and lighting effects at a blistering pace. The data shows this clearly: at 4K with High settings, the combo achieves an average of 123.2 FPS, and even at the punishing Ultra preset, it maintains an average of 85.6 FPS. These numbers would be unattainable without a GPU of this class. Its benchmark scores reinforce this, with a Passmark G3D score of 34245 and an average benchmark score of 53610, placing it in the 88th percentile of all GPUs. It sits just ahead of the AMD Radeon RX 6900 XT by a 0.2% margin and is 2.1% ahead of the AMD Radeon RX 7700S, demonstrating its position at the top of the consumer stack.

CPU Role

The Intel Core i5-13400F serves as a capable, but secondary, partner to the RTX 4080 SUPER. With 10 cores (6 performance and 4 efficient) and 16 threads, it offers a strong foundation for modern games. Its boost clock of 4.60 GHz and 20 MB of shared L3 cache are sufficient to keep the GPU fed in most scenarios. However, the benchmark data reveals that this processor is the limiting factor when the resolution drops. The CPU’s average benchmark score of 25236 places it in the 82nd percentile of all CPUs, and it is essentially neck-and-neck with the Intel Core i7-13620H, trailing by only 0.1%. This indicates that while it is a strong processor, it does not have the sheer single-thread or multi-thread headroom of the absolute best gaming CPUs. In Ready Or Not, this manifests as a ceiling on frame rates at 1080p, where the game’s AI and physics calculations become more prominent relative to the GPU’s rendering load. The CPU’s performance in Cinebench R23 (21279 multi-core, 3004 single-core) shows it is a robust processor, but it is not the primary driver of this combo’s impressive ranking.

Measured FPS Breakdown

The measured FPS data provides a clear picture of how this system scales across different settings and resolutions. At 1080p, the combo is massively CPU-bound, but the results are still spectacular. On Low settings, it hits an average of 467.8 FPS, which reflects the GPU’s raw power, but the scaling from Medium to High to Ultra shows a steep decline: 408 FPS, 370 FPS, and 260.3 FPS, respectively. This drop-off is more gradual than what a purely GPU-bound system would show, indicating that the CPU is starting to throttle the frame rate as settings increase.

Moving to 1440p, the GPU begins to take on more work, and the frame rates remain exceptionally high. Low settings produce 294.2 FPS, Medium 255.2 FPS, High 233.3 FPS, and Ultra still manages a very playable 166.3 FPS. The relative performance gap between settings narrows slightly compared to 1080p, suggesting a more balanced workload between the CPU and GPU. At 4K, the GPU is fully engaged, and the results are where this combo truly shines. Low settings yield 156.9 FPS, Medium 137 FPS, High 123.2 FPS, and Ultra drops to 85.6 FPS. These numbers show that the RTX 4080 SUPER is powerful enough to deliver a high-refresh-rate experience at 4K in this title, even on the highest settings.

Resolution Scaling

The scaling from 1080p to 4K reveals the fundamental dynamic of this pairing. At 1080p Low, the system produces 467.8 FPS. When the resolution is increased to 4K Low, the average FPS drops to 156.9. This represents a 66% reduction in frame rate, which is a massive hit. This steep decline indicates that at 1080p, the CPU is the primary limiting component, as the GPU is not being fully utilized. The i5-13400F simply cannot prepare frames fast enough to keep the RTX 4080 SUPER busy, resulting in a bottleneck that caps performance. This is a common scenario for high-end GPUs paired with mid-range CPUs.

However, the scaling behavior changes when we look at higher settings. Moving from 1080p Ultra (260.3 FPS) to 4K Ultra (85.6 FPS) is a 67% drop, which is similar in proportion. This suggests that even at Ultra settings, the CPU still has a significant influence at 1080p. The most telling data point is the difference in scaling between Low and Ultra settings. At 1080p, the gap between Low and Ultra is 207.5 FPS. At 4K, that same gap shrinks to 71.3 FPS. This compression of the performance delta as resolution increases is the classic signature of a system transitioning from a CPU-bound state to a GPU-bound state. At 4K Ultra, the RTX 4080 SUPER is working at its limit, and the CPU has enough headroom to feed it, resulting in a less dramatic difference between settings. The data confirms that while the CPU holds the system back at lower resolutions, the GPU’s immense power ensures that this combo remains a top-tier performer for 4K gaming, which is its intended use case for maximum visual fidelity.