Lockdown Protocol

Lockdown Protocol presents an interesting stress test for the Intel Core i5-14600K paired with the NVIDIA GeForce GTX 1080 Ti, a combination that pairs a modern 14th-gen CPU with a legacy high-end GPU. The measured FPS data reveals a system where the graphics card is the primary bottleneck at higher resolutions, while the processor demonstrates its capability at lower settings. This analysis breaks down the performance metrics across resolutions, settings, and component roles.

Resolution Scaling

The frame rate drop from 1080p to 4K is substantial, indicating a classic GPU-bound scenario at higher resolutions. At High settings, performance falls from 109.7 FPS at 1920x1080 to 84.2 FPS at 2560x1440, and further down to 52 FPS at 3840x2160. This represents a 52.6% reduction in average FPS from 1080p to 4K, a steep decline that points directly to the GTX 1080 Ti struggling to maintain fill rates at higher pixel counts. The scaling pattern is consistent across all settings, suggesting the GPU is the limiting factor.

The data shows that the gap between Low and Ultra settings widens as resolution increases. At 1080p, the difference between Low (180.3 FPS) and Ultra (82.2 FPS) is 98.1 FPS. At 4K, that same gap shrinks to 43.5 FPS, with Low achieving 85.2 FPS and Ultra only 41.7 FPS. This compression at higher resolutions indicates that the GPU is hitting its absolute limits regardless of graphical fidelity, whereas at 1080p, the CPU has enough headroom to let the GPU stretch its legs more fully.

The 1440p results show a more balanced picture. High settings at 2560x1440 yield 84.2 FPS, which is still above the 60 FPS threshold, while Medium delivers 95.4 FPS. The 4K Ultra result of 41.7 FPS is the only sub-60 FPS measurement outside of the 4K category, reinforcing that 1440p is the practical ceiling for this combo in Lockdown Protocol.

How This Combo Ranks

This specific combination ranks 999 out of 1,637 tested combos in Lockdown Protocol, placing it in the lower-middle portion of the database. The percentile ranking reflects a pairing where the GPU’s age limits overall performance, despite the CPU being quite capable. The Intel Core i5-14600K alone sits in the 93rd percentile among all CPUs, but the GTX 1080 Ti only reaches the 61st percentile among GPUs, creating an imbalance that drags the combined score down.

The CPU’s nearest rivals demonstrate its competitive positioning. The i5-14600K scores 0.2% higher than the AMD Ryzen 9 5950X in average benchmarks, and 1% higher than the Intel Xeon Gold 5318H. However, it trails the Intel Core i5-14600KF by 0.4% and the AMD EPYC 4345P by 0.9%. These narrow margins suggest that the CPU is not the limiting factor in most gaming scenarios.

For the GPU, the situation is more stark. The GTX 1080 Ti’s nearest rival in benchmarks is the NVIDIA GeForce GTX 780 with a 0% delta, meaning they score essentially identically. It also sits close to the AMD Radeon Pro 560X (-0.1%) and NVIDIA Tesla K40m (-0.6%), while beating the NVIDIA TITAN Xp by 1.1%. This clustering around older hardware underscores that the GPU is the weaker link in this pairing.

CPU Role

The Intel Core i5-14600K brings substantial processing power with 14 cores and 20 threads, based on a 3.50 GHz base clock and 5.30 GHz boost clock. Its Raptor Lake architecture on Intel’s 10 nm process provides a 24 MB shared L3 cache, which is critical for gaming workloads. The CPU’s benchmark scores are impressive: a Cinebench R23 multi-core score of 32,881 and a single-core score of 4,642, placing it firmly in high-performance territory.

In Lockdown Protocol, the CPU’s role becomes evident at lower resolutions and settings. At 1080p Low, the combo achieves 180.3 FPS, which is likely CPU-limited given the GPU’s age. The fact that the CPU can push frame rates this high suggests it is not the bottleneck at 1080p, but rather the GPU’s fill rate and shading capabilities that cap performance. The CPU’s PassMark single-thread score of 4,270 and multi-thread score of 38,682 indicate strong per-core performance, which is essential for FPS games that rely on single-threaded game logic.

Interestingly, the CPU’s nearest rivals in the benchmark database include server-class chips like the AMD EPYC 4345P and Intel Xeon Gold 5318H, which have different core configurations but similar overall scores. This suggests that the i5-14600K’s combination of high clocks and 14 cores provides a balanced workload that translates well to gaming, even if the GPU holds it back at higher resolutions.

Measured FPS Breakdown

The measured FPS data provides a complete picture across three resolutions and four settings levels. At 1920x1080, the results are: Low 180.3 FPS, Medium 128.8 FPS, High 109.7 FPS, and Ultra 82.2 FPS. This shows a 54.6% drop from Low to Ultra, indicating that the GTX 1080 Ti can handle 1080p gaming with ease, but Ultra settings impose significant load.

At 2560x1440, the numbers shift dramatically: Low 130.5 FPS, Medium 95.4 FPS, High 84.2 FPS, and Ultra 59.4 FPS. The Ultra result barely crosses the 60 FPS threshold, while Medium and High provide smooth gameplay. The scaling from Low to Ultra represents a 54.5% reduction in performance, similar to 1080p.

The 3840x2160 results show where the GPU begins to falter: Low 85.2 FPS, Medium 62.7 FPS, High 52 FPS, and Ultra 41.7 FPS. The jump from Low to Medium costs 22.5 FPS, while High to Ultra costs only 10.3 FPS, suggesting diminishing returns as the GPU hits memory bandwidth limits. The GTX 1080 Ti’s 11 GB of GDDR5X memory on a 352-bit bus provides 484.4 GB/s bandwidth, which is substantial but clearly insufficient for 4K Ultra in this game.

The 1440p Medium setting at 95.4 FPS stands out as a sweet spot, offering a 49.4% improvement over 4K Medium while maintaining visual fidelity. Similarly, 1080p High at 109.7 FPS is notably efficient, providing a 32.4% boost over 1440p High.

GPU Role

The NVIDIA GeForce GTX 1080 Ti is the dominant factor in this combo’s performance. With 3,584 shading units, 224 TMUs, and 88 ROPs, it delivers 11.34 TFLOPS of FP32 performance. Its base clock of 1,481 MHz and boost of 1,582 MHz, combined with 11 GB of GDDR5X memory, make it a capable card despite its 2017 release date. The GPU’s 16 nm Pascal architecture and 11,800 million transistors on a 471 mm² die show its age, yet it still holds its own in the 61st percentile of all GPUs.

The GPU’s benchmark scores reveal its strengths and weaknesses. It achieves 18,600 in PassMark G3D, but only 66 in DirectX 12 benchmarks, indicating poor optimization for modern APIs. The 3DMark Steel Nomad DX12 score of 2,231 further highlights this limitation. In contrast, its Vulkan score of 83,108 suggests better performance in that API, which may explain why Lockdown Protocol’s results are reasonable.

The VRAM capacity of 11 GB is a double-edged sword. At 4K Ultra, the game likely uses more than 11 GB, causing the GPU to spill into system memory, which explains the 41.7 FPS result. However, at 1080p and 1440p, the VRAM is sufficient, and the GPU’s memory bandwidth of 484.4 GB/s allows for smooth texture streaming. The GPU’s nearest rival, the GTX 780, scores nearly identically in average benchmarks, but the GTX 1080 Ti has more than double the VRAM, giving it a practical advantage in modern games.

Settings Recommendations

Based on the measured FPS data, the optimal settings for this combo depend on the target resolution and desired frame rate. For 1080p gaming, High settings at 109.7 FPS offer the best balance, providing a 27.3% improvement over Ultra’s 82.2 FPS while maintaining visual quality. The Medium preset at 128.8 FPS is also viable for competitive play, offering a 17.4% boost over High.

At 1440p, Medium settings at 95.4 FPS are recommended for smooth gameplay, as High drops to 84.2 FPS and Ultra barely hits 59.4 FPS. The Medium preset provides a 13.3% improvement over High, making it the safest choice for maintaining a consistent 60+ FPS experience.

For 4K, the data suggests that Low settings at 85.2 FPS are the only practical option, as Medium (62.7 FPS) and High (52 FPS) struggle to maintain fluid motion. Ultra at 41.7 FPS is not recommended unless the user prioritizes visual fidelity over frame rate. The 4K Low setting offers a 51.5% improvement over Ultra, making it the clear choice for playable performance at this resolution.

The overall recommendation is to target 1440p Medium or 1080p High, as both offer frame rates above 90 FPS while preserving graphical quality. Users with 4K displays should accept Low settings or consider upgrading the GPU, as the GTX 1080 Ti simply cannot handle this game at higher presets in 4K.

FAQ

Q: What is the best resolution for this combo in Lockdown Protocol?

A: The data shows 1440p Medium (95.4 FPS) and 1080p High (109.7 FPS) provide the best balance of visual quality and performance. 4K is only playable at Low settings with 85.2 FPS.

Q: Is the CPU or GPU more limiting in this pairing?

A: The GPU is the primary bottleneck. The i5-14600K ranks in the 93rd percentile among CPUs, while the GTX 1080 Ti only reaches the 61st percentile, and FPS scaling from 1080p to 4K shows a significant GPU-bound pattern.

Q: Can this combo handle Ultra settings in 4K?

A: No, the measured 4K Ultra average FPS is 41.7, which is below the 60 FPS threshold. The game becomes increasingly GPU-bound at higher resolutions, and the GTX 1080 Ti lacks the memory bandwidth for Ultra settings.

Q: How does the GTX 1080 Ti compare to its nearest benchmark rivals?

A: The GTX 1080 Ti scores identically (0% delta) to the NVIDIA GeForce GTX 780 in average benchmarks, and is within 1.1% of the NVIDIA TITAN Xp, AMD Radeon Pro 560X, and NVIDIA Tesla K40m.

Q: What settings give the highest FPS at 1080p?

A: Low settings at 1080p achieve 180.3 FPS, which is the highest measured result. Medium (128.8 FPS) and High (109.7 FPS) also provide high frame rates, while Ultra drops to 82.2 FPS.

Q: Is the i5-14600K a strong gaming CPU?

A: Yes, it ranks in the 93rd percentile among all CPUs and outperforms the AMD Ryzen 9 5950X by 0.2% in average benchmarks. Its 5.30 GHz boost clock and 14 cores make it well-suited for gaming workloads.