Fivem

The Intel Core i9-14900K paired with the NVIDIA GeForce GTX 1070 produces a fascinating bottleneck profile in Fivem. The data shows a configuration where a top-tier 24-core processor is held back by a mid-range Pascal-era graphics card. This pairing ranks in the 1517th position out of 1792 tested combos in this game, placing it in the lower 15% of all configurations. The benchmark results reveal that this is not a balanced system for Fivem; the GTX 1070 consistently becomes the limiting factor as resolution and settings increase, while the i9-14900K's substantial headroom goes largely unused.

Resolution Scaling

The FPS drop from 1080p to 4K is dramatic and clearly demonstrates GPU-bound behavior. At Low settings, the average frame rate falls from 128.9 FPS at 1920x1080 to 47.5 FPS at 3840x2160—a reduction of 63.1%. This steep decline is a classic sign that the GPU is struggling to fill the additional pixels, not the CPU. The scaling pattern holds across all settings: High settings drop from 82.4 FPS at 1080p to 30.9 FPS at 4K (a 62.5% decrease), while Medium settings fall from 100.7 FPS to 36.7 FPS (a 63.6% drop). These consistent percentage losses across different quality presets indicate that the GTX 1070's rendering pipeline is the primary constraint, regardless of how much graphical work is being requested.

Interestingly, the Ultra preset shows the most severe scaling, collapsing from 65.8 FPS at 1080p to just 21.7 FPS at 4K—a 67.0% reduction. The fact that the i9-14900K maintains its performance level while these frame rates plummet confirms that the processor is not the bottleneck. If the CPU were limiting, we would expect to see more consistent frame rates across resolutions, since the processor's workload (game logic, physics, AI) does not scale with resolution. Instead, the data shows FPS falling almost linearly with pixel count, which is the hallmark of a GPU-limited scenario. Even at 1440p, the trend continues: Low settings achieve 85.8 FPS, but High drops to 53.1 FPS, and Ultra falls to 43.6 FPS. The gap between 1080p and 1440p at every setting is substantial, further reinforcing that the GTX 1070's 256-bit memory bus and 256.3 GB/s bandwidth are being saturated well before the CPU's capabilities come into play.

GPU Role

The GTX 1070 operates with a base clock of 1506 MHz and a boost clock of 1683 MHz, built on the 16 nm Pascal architecture with 1920 shading units. This 8 GB GDDR5 memory configuration provides 256.3 GB/s of bandwidth, which proves insufficient for Fivem's demands at higher resolutions. The GPU's percentile ranking of 51 against all GPUs places it squarely in the middle of the pack, and its nearest rivals include the NVIDIA Quadro K4200 (0.7% ahead), the GeForce GTX 880M (1.3% behind), and the GeForce GTX 1650 SUPER (1.4% behind). These competitive scores in synthetic benchmarks translate to real-world performance that is simply outmatched by the CPU's capabilities.

The VRAM allocation is not the primary issue here, as 8 GB is generally adequate for this game's texture requirements. Rather, the bottleneck lies in the computational throughput: the GTX 1070 delivers 6.463 TFLOPS of FP32 performance, which is meager compared to what the i9-14900K can feed it. The GPU's pixel rate of 107.7 GPixel/s and texture rate of 202.0 GTexel/s become the limiting factors when moving from 1080p to 4K. At 1080p Low, the system achieves 128.9 FPS, which suggests the CPU can push frames well beyond what the GPU can handle at higher loads. However, the moment settings increase to Medium (100.7 FPS) or High (82.4 FPS), the GPU's shader workload grows, and frame rates plummet. The data shows that the GTX 1070's architecture, while competent for its generation, simply cannot keep pace with the i9-14900K's ability to prepare frames, creating a persistent GPU-bound situation across all tested configurations.

How This Combo Ranks

This combination sits at rank 1517 out of 1792 tested combos, which places it in the bottom 15.4% of all pairings tested for Fivem. This low ranking is not a reflection of the CPU's capability—the i9-14900K boasts a 97th percentile ranking among all CPUs and an average benchmark score of 79824. Instead, it is the GTX 1070, with its 51st percentile ranking among GPUs, that drags the combo down. The CPU's nearest rivals in synthetic benchmarks include the AMD EPYC 7413 (0.3% behind), the Core i9-14900KF (0.7% ahead), and the Core Ultra 7 265KF (0.7% ahead), all of which would likely produce similar Fivem results when paired with this GPU.

The disparity between the components is stark: the CPU's multi-threaded performance in Cinebench R23 reaches 49872, while the GPU's Passmark G3D score is only 13498. This mismatch means that in Fivem, the system behaves like a much weaker machine than the CPU alone would suggest. The combo rank of 1517 indicates that most other configurations—even those with significantly weaker processors—outperform this pairing, because they likely pair more balanced GPUs with their CPUs. For Fivem specifically, the game's multiplayer nature may introduce CPU overhead, but the measured FPS data shows no evidence of CPU limitation; instead, every resolution and settings combination appears constrained by GPU throughput. The 1792 total combos tested provide a broad reference, and this pairing's position near the bottom confirms that the GTX 1070 is a severe drag on the i9-14900K's potential.

Measured FPS Breakdown

At 1920x1080, the system delivers its best results. Low settings produce an average of 128.9 FPS, which is more than double the 4K Low result. Medium settings achieve 100.7 FPS, High settings reach 82.4 FPS, and Ultra settings drop to 65.8 FPS. The 1080p results show a clear progression: each step up in quality costs roughly 15-20% performance, with the gap between Low and Ultra being 63.1 FPS (a 48.9% reduction). These numbers suggest that at 1080p, the GPU is still able to maintain playable frame rates, though the CPU's potential for much higher FPS is unrealized.

Moving to 2560x1440, the frame rates fall noticeably. Low settings average 85.8 FPS, representing a 33.4% drop from the 1080p Low result. Medium settings achieve 65.8 FPS (34.7% lower than 1080p Medium), High settings reach 53.1 FPS (35.6% lower), and Ultra settings produce 43.6 FPS (33.7% lower). The consistent 33-36% reduction across all settings at 1440p indicates that the GPU's fill rate is the limiting factor, as the relative performance loss is nearly identical regardless of quality preset. This uniformity is expected when pixel count increases by 78% from 1080p to 1440p, but the GPU cannot compensate.

At 3840x2160, performance becomes marginal. Low settings average 47.5 FPS, which is technically playable but far from smooth. Medium settings drop to 36.7 FPS, High settings fall to 30.9 FPS, and Ultra settings produce just 21.7 FPS. The 4K Ultra result is particularly telling—it is 67.0% slower than the 1080p Ultra result, showing that the GTX 1070's 64 ROPS and 256-bit memory interface are overwhelmed by the 8.3 million pixels at 4K. The gap between Low and Ultra at 4K is 25.8 FPS, which is proportionally smaller than at lower resolutions, because the GPU is already struggling at every setting. These numbers paint a clear picture: this combo is only suitable for 1080p gaming, with 1440p being a stretch, and 4K reserved for undemanding scenarios.

FAQ

Q: What is the best resolution for this CPU-GPU combo in Fivem?

A: The data shows 1920x1080 is the only resolution where the system consistently exceeds 60 FPS. At 1080p, all settings from Low (128.9 FPS) to Ultra (65.8 FPS) remain above the 60 FPS threshold. At 1440p, only Low settings (85.8 FPS) stay above 60 FPS, while Medium (65.8 FPS) is borderline and High (53.1 FPS) and Ultra (43.6 FPS) fall below. At 4K, all settings struggle, with the best result being 47.5 FPS at Low.

Q: How much performance is lost when moving from 1080p to 4K?

A: The frame rate drops significantly at every settings level. Low settings fall from 128.9 FPS at 1080p to 47.5 FPS at 4K, a 63.1% reduction. Medium settings drop from 100.7 FPS to 36.7 FPS (63.6% loss), High from 82.4 FPS to 30.9 FPS (62.5% loss), and Ultra from 65.8 FPS to 21.7 FPS (67.0% loss). These consistent losses indicate GPU-bound scaling.

Q: Is the Intel Core i9-14900K the limiting factor in this setup?

A: No. The i9-14900K ranks in the 97th percentile of all CPUs and has an average benchmark score of 79824. The frame rate drops across resolutions follow GPU-oriented scaling patterns, not CPU limitations. The GTX 1070, which ranks in the 51st percentile of GPUs, is clearly the bottleneck, as evidenced by the steep FPS losses as resolution increases.

Q: How does this combo rank compared to other tested configurations?

A: This pairing ranks 1517th out of 1792 tested combos in Fivem, placing it in the bottom 15.4%. The low ranking is attributable to the GPU, not the CPU. The GTX 1070's nearest rivals include the Quadro K4200 (0.7% ahead in synthetic scores), GTX 880M (1.3% behind), and GTX 1650 SUPER (1.4% behind), none of which are high-performance cards.

Q: What settings are playable at 1440p with this hardware?

A: At 2560x1440, Low settings produce 85.8 FPS and Medium settings reach 65.8 FPS, both of which are playable. High settings drop to 53.1 FPS, which may be acceptable for some, but Ultra settings at 43.6 FPS are likely too choppy for smooth gameplay. For consistent 60+ FPS, Low or Medium settings are recommended at 1440p.

Q: Does the GTX 1070's 8 GB VRAM cause issues in Fivem?

A: The benchmark data does not indicate VRAM capacity as a limiting factor. Instead, the GPU's computational throughput appears to be the constraint. The 8 GB GDDR5 memory with 256.3 GB/s bandwidth is paired with 1920 shading units and 64 ROPS, and the FPS scaling patterns across resolutions point to shader and fill-rate limitations rather than memory capacity shortfalls.