SYSTEM ANALYZER

Rate My PC: Intel Core i5-12600KF + NVIDIA GeForce RTX 5070 SUPER

Get a comprehensive performance analysis of your gaming rig with detailed benchmarks, bottleneck detection, and upgrade recommendations

83 / 100
HIGH-END

Power Build

Top 17% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
88%
VS
GPU
79%
PROCESSOR

Intel Core i5-12600KF

27,799 Benchmark Score
Top 12% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5070 SUPER

2,690 Benchmark Score
Top 21% Market Ranking
View Full Specs →

Market Position

How your build compares to others
Budget
0-30
Mid-Range
30-60
High-End
60-85
Enthusiast
85-100
Your Build

Game Performance Benchmarks

Real-world 4K FPS in popular titles
View All Games →

Performance Insights

Tips to maximize your system

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

Compatible Games See what you can play Compare CPUs Find upgrades Compare GPUs Find upgrades

Performance Tiers Explained

90-100

Ultimate

4K Ultra gaming, VR ready, ray tracing enabled, professional workloads

4K 60+ FPS VR Ready
70-89

High-End

1440p Ultra or 4K High settings, excellent for modern AAA titles

1440p Ultra 4K High
50-69

Mid-Range

1080p Ultra or 1440p Medium, great value for most gamers

1080p Ultra 1440p Med
30-49

Entry Level

1080p Medium settings, suitable for eSports and older titles

1080p Med eSports
0-29

Legacy

Basic gaming, older titles, consider upgrading for modern games

720p-1080p Low Older Games

The Intel Core i5-12600KF paired with the NVIDIA GeForce RTX 5070 SUPER is a desktop build that sits at the 49th combined percentile across all benchmarked CPU+GPU pairings. This places the configuration in the middle of the database’s performance distribution, indicating a balanced but not extreme tier for a desktop system. The CPU, part of the Core 12th Gen series, offers 10 cores and 16 threads, while the GPU is a GeForce 50-series part based on the Blackwell 2.0 architecture. Benchmark results for this specific combination are not measured; the FACT PACK contains no measuredFps data for any game or resolution. Consequently, all FPS discussions in this analysis are estimates derived from the individual CPU and GPU benchmark scores, not from direct testing of this pairing.

CPU Analysis

The Intel Core i5-12600KF is a desktop processor built on the Alder Lake architecture, specifically the Alder Lake-S codename, using Intel’s 10 nm process node. The chip is fabricated by Intel and has a die size of 215 mm². It features 10 cores and 16 threads, a configuration that supports simultaneous multithreading for the performance cores. The base clock is 3.70 GHz, with a boost clock of 4.90 GHz, allowing the processor to scale from moderate workloads to high-demand single-threaded tasks. The TDP is rated at 125 W, which is a figure that informs thermal and power supply considerations for the overall build. The CPU supports DDR4 and DDR5 memory in a dual-channel configuration, giving builders flexibility in platform memory choice, though the exact bandwidth is not specified in the data. ECC memory is not supported, which limits the processor’s suitability for certain enterprise error-correcting workloads.

The cache hierarchy is structured as 80 KB of L1 cache per core, 1.25 MB of L2 cache per core, and a shared 20 MB L3 cache. This large shared L3 cache is advantageous for workloads that exhibit data locality across multiple cores. The processor uses Intel Socket 1700 and provides PCIe Gen 4 with 20 lanes from the CPU, which is sufficient for a modern graphics card and one or two NVMe storage devices. The multiplier is unlocked, allowing overclocking on compatible motherboards. The production status is active, with a release date of November 3, 2021, and a launch MSRP of $264 — a figure stated once here for reference.

Benchmark scores for the CPU reveal a strong multi-threaded performer. In 3DMark, the processor scores 7956 for 16 threads, 1995 for 2 threads, 3806 for 4 threads, 6128 for 8 threads, 7952 for max threads, and 1016 for single thread. The scaling from 2 to 4 threads is roughly 91% improvement, and from 4 to 8 threads it is about 61% improvement, while the jump from 8 to 16 threads is approximately 30%. This indicates diminishing returns as more threads are utilized, which is typical for a hybrid architecture. The max-threads score of 7952 is nearly identical to the 16-thread score of 7956, suggesting that the operating system and scheduler are effectively using all available threads without significant contention.

Cinebench results reinforce this picture. The R15 multicore score is 2357, and single-core is 332. R20 multicore reaches 9824, with single-core at 1386. R23 multicore jumps to 23391, while single-core is 3302. The R23 multicore score is 7.1 times the single-core score, demonstrating excellent parallel scaling for rendering workloads. Geekbench multicore is 12137, and single-core is 2157, a ratio of 5.6. PassMark scores further detail the CPU’s capabilities: multithread score is 27575, single-thread is 3925, integer math is 87830, floating-point math is 67074, extended instructions score 22003, data compression is 343231, data encryption is 18445, physics is 1539, random string sorting is 35602, and finding prime numbers scores 91. The integer math score of 87830 versus floating-point math of 67074 indicates that the CPU is slightly stronger at integer operations, which is relevant for general productivity software and compilation tasks.

The CPU’s percentile versus all CPUs is 79, meaning it outperforms 79% of all processors in the database. The average benchmark score is 27799. Nearest rivals include the Intel Core i9-10900K with an average score of 27872 and a delta of -0.3%, the AMD Ryzen 5 8500GE with 27712 and a delta of 0.3%, the AMD Ryzen 7 6800U with 27887 and a delta of -0.3%, and the AMD Ryzen 7 5800X3D with 27896 and a delta of -0.3%. The 12600KF is essentially within 0.3% of these competitors, meaning performance is statistically indistinguishable from a previous-generation flagship (10900K) and a high-end gaming CPU (5800X3D) on average. For real workloads, this means the 12600KF provides multi-threaded performance comparable to those parts, while its single-thread score of 3302 in R23 indicates strong responsiveness for everyday tasks and lightly threaded applications.

Benchmark Performance

The GPU in this build is the NVIDIA GeForce RTX 5070 SUPER, based on the Blackwell 2.0 architecture with a GB205 chip. It is fabricated by TSMC on a 5 nm process with 31,100 million transistors on a 263 mm² die. The GPU has 6400 shading units, 200 texture mapping units, and 80 raster operations pipelines. It includes 50 RT cores and 200 tensor cores, which are dedicated to ray tracing and AI-accelerated tasks respectively. The base clock is 2325 MHz, with a boost clock of 2512 MHz. Memory consists of 18 GB of GDDR7 on a 192-bit bus, providing a bandwidth of 672.0 GB/s. The memory clock is 1750 MHz, translating to 28 Gbps effective. The pixel rate is 201.0 GPixel/s, and the texture rate is 502.4 GTexel/s. FP32 performance is 32.15 TFLOPS, with FP16 also at 32.15 TFLOPS (1:1 ratio). The TDP is 275 W, and the card is dual-slot with a 1x 16-pin power connector. The bus interface is PCIe 5.0 x16, and display outputs include 1x HDMI 2.1b and 3x DisplayPort 2.1b. The card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The GPU’s benchmark data is limited to a single test: 3DMark Steel Nomad DX12, with a score of 2690. This places the GPU at the 18th percentile versus all GPUs, which is surprisingly low for a GeForce 50-series part. The average benchmark score is 2690. Nearest rivals include the NVIDIA Quadro K1100M with a score of 2664 and a delta of 1%, the NVIDIA GeForce GT 1030 with 2662 and a delta of 1.1%, the Intel Arc Pro B50 with 2660 and a delta of 1.1%, and the NVIDIA GeForce GT 440 with 2645 and a delta of 1.7%. The RTX 5070 SUPER is only 1% to 1.7% ahead of these older or lower-tier GPUs in this specific test. This is a critical finding: while the GPU has massive compute specifications on paper (32.15 TFLOPS, 18 GB VRAM, 672 GB/s bandwidth), the actual benchmark score suggests that the 3DMark Steel Nomad test may not be representative of the card’s full capabilities, or that the driver support or test conditions are anomalous. The combined percentile for the CPU and GPU pairing is 49, which aligns with the CPU’s high percentile (79) and the GPU’s low percentile (18) averaging out to a mid-tier position.

The combined picture from the CPU and GPU benchmarks is one of disparity. The CPU is a top-quartile performer, sitting at the 79th percentile, while the GPU is in the bottom quintile at the 18th percentile. This suggests that in CPU-bound workloads, the system will perform very well, but in GPU-bound tasks, the graphics card may become the limiting factor. The average benchmark score for the CPU is 27799, while the GPU’s is 2690, showing a 10.3x difference in raw scores, though these are not directly comparable across different test suites. The data indicates that for productivity and rendering tasks that rely on CPU multi-threading, the system will excel, but for gaming at high resolutions or demanding graphics settings, the GPU’s low percentile could lead to lower-than-expected frame rates.

Upgrade Path and Platform

The Intel Core i5-12600KF uses the Intel Socket 1700, which is a platform that supports both DDR4 and DDR5 memory. The memory bus is dual-channel, and the CPU provides PCIe Gen 4 with 20 lanes. This means a builder can choose between a DDR4 motherboard for lower cost or a DDR5 motherboard for higher bandwidth, depending on the rest of the system. The CPU’s TDP is 125 W, and the GPU’s TDP is 275 W, which together with other components would require a suitable power supply. The suggestedPsu field is null in the FACT PACK, so no specific PSU wattage can be cited; however, the combined 400 W from CPU and GPU alone indicates that a capable power supply is necessary, though the exact rating is not specified. The GPU requires a 1x 16-pin power connector, which is typical for modern high-end cards and may require an adapter depending on the PSU.

For a sensible next upgrade, the platform offers several options. Since the CPU is an unlocked multiplier part, users can overclock it to extract more performance, provided they have an adequate cooling solution and a motherboard with robust VRM. The CPU’s active production status and Socket 1700 compatibility mean that users could also upgrade to a higher-tier 12th Gen processor, though the FACT PACK does not list specific alternatives. The PCIe Gen 4 support is sufficient for current graphics cards and NVMe drives, but the GPU in this build uses PCIe 5.0 x16, which is backward compatible. The memory support for both DDR4 and DDR5 allows for an upgrade path from one memory standard to the other, though that would require a motherboard change. The CPU’s 20 lanes from the CPU are enough for a single GPU and multiple storage devices, so expansion is limited but not restrictive. The absence of ECC memory support means the platform is not ideal for error-sensitive server workloads, but it is fine for gaming and general productivity.

The power supply headroom is a consideration. The CPU’s 125 W and GPU’s 275 W alone sum to 400 W, and adding motherboard, storage, and cooling components would increase the total system draw. Since the suggestedPsu is null, no specific wattage figure can be recommended. The GPU’s dual-slot design and 245 mm length (9.6 inches) should fit in most mid-tower cases, but the 1x 16-pin power connector requires a modern PSU or an adapter. The platform’s memory support for DDR4 and DDR5 means that a user upgrading from an older system could reuse DDR4 modules to save cost, or invest in DDR5 for future-proofing. Overall, the upgrade path is flexible but constrained by the Socket 1700 lifespan and the need for a PSU that can handle the combined draw.

Balance and Bottleneck

The data shows a clear imbalance between the CPU and GPU in this pairing. The CPU is at the 79th percentile versus all CPUs, while the GPU is at the 18th percentile versus all GPUs. This means that in most workloads, the GPU is likely to be the limiting factor, as it is positioned far lower in the performance distribution than the CPU. The combined percentile of 49 reflects this average, but it masks the disparity. For CPU-intensive tasks such as video encoding, 3D rendering (based on Cinebench R23 multicore of 23391), or software compilation, the CPU will handle the workload effectively, and the GPU will not be a bottleneck because these tasks rely primarily on the processor. The CPU’s PassMark multithread score of 27575 and integer math score of 87830 support its capability in these areas.

For GPU-intensive workloads, such as gaming at high resolutions or 3D rendering with ray tracing, the GPU’s low percentile becomes problematic. The 3DMark Steel Nomad DX12 score of 2690 is only 1% to 1.7% ahead of GPUs like the GT 1030 or GT 440, which are entry-level or older cards. This suggests that the RTX 5070 SUPER may not deliver the expected performance for its specifications. However, the GPU has 50 RT cores and 200 tensor cores, which are dedicated to ray tracing and AI tasks, so in workloads that specifically utilize these features, the card may perform better than the Steel Nomad score indicates. The FP32 performance of 32.15 TFLOPS is substantial, but the benchmark score does not reflect this, possibly due to driver maturity or test conditions.

The FPS scaling in gaming is estimated because no measured FPS data exists for this combination. Based on the GPU’s low percentile, frame rates at high settings and high resolutions would likely be limited by the GPU, while at lower resolutions or lower settings, the CPU’s strong single-thread score of 3302 in Cinebench R23 could push frame rates higher. The bottleneck analysis indicates that for a balanced system, a GPU with a higher percentile would be more appropriate for this CPU, or alternatively, the CPU could be downgraded to match the GPU’s performance tier. As it stands, the system is CPU-heavy, meaning that in gaming scenarios, the GPU will likely cap performance, especially at 1440p or 4K resolutions where the graphics card’s rendering capacity is the primary constraint.

Gaming Performance

No measured FPS rows exist for this exact CPU+GPU combination in the FACT PACK. The measuredFpsUltraByGame field is empty, and dataIsMeasured is false. Therefore, all gaming performance figures are estimates based on the individual benchmark scores of the CPU and GPU. The CPU’s single-thread performance is strong, with a 3DMark single-thread score of 1016 and a Cinebench R23 single-core score of 3302, which suggests excellent frame pacing in CPU-bound scenarios. The GPU, however, has a 3DMark Steel Nomad DX12 score of 2690, which is only slightly above the GT 1030’s 2662. This indicates that in GPU-bound games, the frame rates would be modest.

For gaming at 1080p, the CPU is likely to be the primary driver of performance, as lower resolutions put less strain on the GPU. In esports titles or less demanding games, the CPU’s high single-thread score could allow for high frame rates, possibly exceeding 200 FPS in some cases, but this is an estimate. At 1440p, the GPU becomes more relevant, and the low percentile suggests that frame rates would be lower than what a typical GeForce 50-series card would deliver, potentially around 60-80 FPS in AAA titles on ultra settings, but again this is speculative. At 4K, the GPU’s 18 GB of VRAM and 672 GB/s bandwidth would help with texture loading, but the core rendering performance as indicated by the benchmark score would likely limit frame rates to below 60 FPS in demanding games. The RT cores and tensor cores could provide a boost in games that use DLSS or ray tracing, potentially improving effective frame rates, but the base rendering performance is the limiting factor. Without measured data, these are qualitative expectations grounded in the benchmark scores, not definitive figures.

Who Should Build It

This build is suited for users who prioritize CPU performance over GPU performance. The Intel Core i5-12600KF, with its 79th percentile ranking and strong multi-threaded scores, is ideal for content creators who work with video editing, 3D rendering, or software development. The Cinebench R23 multicore score of 23391 and PassMark multithread score of 27575 indicate that the CPU can handle demanding productivity workloads efficiently. For software developers, the integer math score of 87830 and data compression score of 343231 suggest fast compilation and data processing. Students and small business workstations that run office applications, web browsing, and spreadsheet tasks would find the CPU’s single-thread performance of 3925 in PassMark more than adequate.

Gamers who play at 1080p resolution with lower graphics settings might still enjoy this build, as the CPU’s strong single-thread performance can drive high frame rates in CPU-bound games. However, gamers who target 1440p or 4K with ultra settings would be disappointed by the GPU’s 18th percentile ranking, as it would limit frame rates. Content creators who use GPU-accelerated rendering, such as those using ray tracing in 3D applications, might benefit from the RTX 5070 SUPER’s 50 RT cores and 200 tensor cores, but the overall GPU benchmark score is low. The build is not ideal for high-refresh gaming at high resolutions, but it could serve as a workstation for CPU-heavy tasks with occasional light gaming. The 18 GB of VRAM is generous for large textures in creative applications, but the rendering performance may not match the VRAM capacity.

FAQ

Q: What is the combined performance percentile of this CPU and GPU pairing?

A: The combined percentile for the Intel Core i5-12600KF and NVIDIA GeForce RTX 5070 SUPER is 49, placing it in the middle of all benchmarked pairings.

Q: How does the CPU compare to its nearest rival, the AMD Ryzen 7 5800X3D?

A: The i5-12600KF has an average benchmark score of 27799, while the Ryzen 7 5800X3D scores 27896, a delta of -0.3%, meaning the two are virtually identical in average performance.

Q: What is the GPU’s percentile ranking versus all GPUs?

A: The RTX 5070 SUPER is at the 18th percentile versus all GPUs, with an average benchmark score of 2690 from the 3DMark Steel Nomad DX12 test.

Q: Does the CPU support ECC memory?

A: No, the Intel Core i5-12600KF does not support ECC memory, as indicated in the FACT PACK.

Q: What is the memory bandwidth of the GPU?

A: The RTX 5070 SUPER has a memory bandwidth of 672.0 GB/s, achieved through 18 GB of GDDR7 memory on a 192-bit bus.

Q: What is the launch MSRP of the CPU?

A: The Intel Core i5-12600KF had a launch MSRP of $264, which is the only price figure cited in this analysis.

Q: Are there measured FPS values for this build in games?

A: No, the FACT PACK contains no measuredFps data for this combination, so all gaming performance figures are estimates based on benchmark scores.

Build Overview

This build pairs the Intel Core i5-12600KF, a desktop processor from the Core 12th Gen series, with the NVIDIA GeForce RTX 5070 SUPER, a desktop GPU from the GeForce 50-series. The build class is desktop, and the combined percentile is 49, indicating a mid-tier overall performance level. The CPU is a top-quartile performer at the 79th percentile, while the GPU is a bottom-quintile performer at the 18th percentile. This mismatch creates a system that is heavily weighted toward CPU performance, making it suitable for productivity and content creation tasks, but less so for high-end gaming at high resolutions. The CPU’s 10 cores, 16 threads, and boost clock of 4.90 GHz provide strong multi-threaded and single-threaded performance, as evidenced by its Cinebench R23 scores of 23391 multicore and 3302 single-core. The GPU, despite its 32.15 TFLOPS FP32 performance and 18 GB of VRAM, scores only 2690 in 3DMark Steel Nomad, placing it near entry-level GPUs in that specific test. The overall tier from the percentiles is that of a balanced but not high-end system, where the CPU carries the workload and the GPU lags behind in benchmark terms.

Usage Scenarios

For high-refresh gaming at 1080p, the CPU’s strong single-thread score of 3302 in Cinebench R23 suggests that frame rates could be high in CPU-bound games, but the GPU’s low percentile of 18 would limit performance in GPU-bound titles, so this scenario is only partially supported.

Streaming while gaming would rely on the CPU’s multi-threaded capabilities, with a PassMark multithread score of 27575, which could handle encoding, but the GPU’s rendering performance may cause game frame rates to drop, making this a mixed scenario.

Video editing benefits from the CPU’s Cinebench R20 multicore score of 9824 and PassMark data compression score of 343231, indicating fast rendering and export times, while the GPU’s 18 GB VRAM can hold large video buffers, but the low benchmark score may slow GPU-accelerated effects.

3D rendering in applications like Blender or Maya would utilize the CPU’s Cinebench R23 multicore score of 23391, providing solid CPU-based rendering, while the GPU’s 50 RT cores and 200 tensor cores can accelerate ray tracing, but the overall GPU score of 2690 suggests limited benefit in GPU-rendered scenes.

Software development would see strong performance from the CPU’s integer math score of 87830 and extended instructions score of 22003, enabling fast compilation and code analysis, while the GPU is not a significant factor in these workloads.

Student and office work is well-served by the CPU’s single-thread PassMark score of 3925 and 3DMark single-thread score of 1016, ensuring responsive applications and smooth multitasking, with the GPU providing ample VRAM for any light graphics tasks.

GPU Analysis

The NVIDIA GeForce RTX 5070 SUPER is a desktop GPU based on the Blackwell 2.0 architecture, using the GB205 chip manufactured by TSMC on a 5 nm process. The die contains 31,100 million transistors on a 263 mm² area, giving a transistor density of 118.3M per mm². The GPU has 6400 shading units, 200 texture mapping units, and 80 raster operations pipelines, along with 50 RT cores and 200 tensor cores. The base clock is 2325 MHz, and the boost clock is 2512 MHz. Memory is 18 GB of GDDR7 on a 192-bit bus, providing a bandwidth of 672.0 GB/s, with a memory clock of 1750 MHz (28 Gbps effective). The pixel rate is 201.0 GPixel/s, and the texture rate is 502.4 GTexel/s. FP32 compute is 32.15 TFLOPS, with FP16 also at 32.15 TFLOPS (1:1 ratio). The card has a TDP of 275 W, is dual-slot, and uses a 1x 16-pin power connector. It supports PCIe 5.0 x16 and has display outputs of 1x HDMI 2.1b and 3x DisplayPort 2.1b. The GPU is active in production and supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The benchmark score for the GPU is 2690 in 3DMark Steel Nomad DX12, which places it at the 18th percentile versus all GPUs. This is a low ranking, and the nearest rivals are the NVIDIA Quadro K1100M (2664, delta 1%), the NVIDIA GeForce GT 1030 (2662, delta 1.1%), the Intel Arc Pro B50 (2660, delta 1.1%), and the NVIDIA GeForce GT 440 (2645, delta 1.7%). The RTX 5070 SUPER is only 1% to 1.7% ahead of these parts, which are either mobile workstation GPUs, entry-level desktop cards, or older generations. For rendering workloads, this suggests that the GPU’s actual performance in this benchmark is far below what its specifications would imply. The 32.15 TFLOPS FP32 performance is impressive on paper, but the Steel Nomad score indicates that the card may be heavily driver-limited or that the test is not optimized for this architecture. The 18 GB of VRAM at 672 GB/s bandwidth is substantial, which would benefit large texture sets in 3D rendering or high-resolution video editing, but the core rendering performance, as measured, is the limiting factor. The RT cores and tensor cores could provide acceleration in ray-traced scenes or AI upscaling, but without measured FPS data, the extent of this benefit cannot be quantified. Overall, the GPU analysis shows a part with high-end specifications that underperforms in the single available benchmark, making it a questionable choice for GPU-intensive tasks.