SYSTEM ANALYZER

Rate My PC: Intel Core i5-13600KF + NVIDIA RTX 5000 Ada Generation

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

96 / 100
ULTIMATE READY

Apex Performer

Top 4% of systems. Capable of 4K Ultra gaming and advanced rendering.

4K 60+ FPSVR ReadyRay Tracing

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
92%
VS
GPU
99%
PROCESSOR

Intel Core i5-13600KF

38,103 Benchmark Score
Top 8% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 Benchmark Score
Top 1% 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
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Performance Insights

Tips to maximize your system

Optimal Performance

Your system is in the top tier. You can run any modern game at maximum settings.

4K Gaming Ready

Consider a 4K 144Hz monitor to fully utilize your hardware capabilities.

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

CPU Analysis

The Intel Core i5-13600KF is a desktop processor from the Core 13th Gen series, built on Intel's Raptor Lake architecture and fabricated on a 10 nm process. It presents a hybrid configuration with 14 cores and 20 threads, combining performance and efficiency cores to balance throughput and power draw. The chip has a base clock of 3.50 GHz and a boost clock of 5.10 GHz, with a thermal design power of 125 W, which is typical for a mainstream desktop part with high single-thread potential. The processor supports DDR4 and DDR5 memory over a dual-channel bus, includes ECC memory support, and offers PCIe Gen 5 with 16 lanes from the CPU. The L3 cache is 24 MB shared, with 2 MB L2 per core and 80 KB L1 per core; the die size is 257 mm².

Benchmark data shows a strong all-round performer. In Cinebench R23, the chip scores 31,727 points in multicore and 4,479 points in single-core. These figures indicate a processor that handles heavily threaded workloads such as video encoding or 3D rendering with ease, while still delivering excellent responsiveness in lightly threaded tasks like web browsing or office applications. The Geekbench scores of 17,933 multicore and 2,487 single-core reinforce this pattern. The 3DMark thread scaling tests are particularly telling: scores climb from 1,084 in single-thread to 2,166 in 2-thread, 4,282 in 4-thread, 7,074 in 8-thread, 9,404 in 16-thread, and peak at 10,216 in max-thread. The scaling from 8 to 16 threads is solid but not perfectly linear, suggesting the efficiency cores contribute meaningfully but with diminishing returns beyond the performance core count. The PassMark multithread score of 37,488 and integer math score of 122,169 indicate robust computational throughput for compile workloads and scientific calculations, while the floating-point math score of 90,424 shows strong number-crunching ability for physics simulations or financial modeling.

The average benchmark score is 38,103, placing the CPU in the 86th percentile among all CPUs. Compared to its nearest rivals, the i5-13600KF sits within a fraction of a percent of several competitors: it is 0.1% behind the Intel Core i5-14490F, 0.2% behind the Intel Core Ultra 5 245T, 0.3% behind the AMD Ryzen 7 250, and 0.4% behind the Intel Core i5-13600HX. This tight clustering means the i5-13600KF is effectively tied with these parts in overall synthetic performance, and real-world differences would be negligible for most users. The data suggests a mature, well-balanced architecture that competes directly with newer silicon despite being from an earlier generation.

Gaming Performance

The FACT PACK contains no measured FPS rows for this exact CPU+GPU combination, so all frame rate discussion here is estimated from the benchmark scores and should be treated as directional guidance rather than verified results. The dataIsMeasured flag is false, confirming the absence of direct gaming telemetry. That said, the CPU's single-core performance is strong — a Cinebench R23 single-core score of 4,479 and a PassMark single-thread score of 4,118 — which is the primary driver for frame pacing in most titles. The 3DMark single-thread score of 1,084 further supports this. For esports titles like Counter-Strike 2 or Valorant, which rely heavily on single-thread IPC, this processor would likely deliver high frame rates at 1080p with minimal bottleneck from the CPU side.

For AAA games at 1440p or 4K, the GPU becomes the limiting factor, and the RTX 5000 Ada Generation is a workstation-class card that is not optimized for traditional rasterized gaming benchmarks. Its Geekbench Vulkan score of 194,041 and OpenCL score of 175,286 indicate massive compute throughput, but gaming performance is not directly proportional to these numbers. The 32 GB of VRAM and 576.0 GB/s of bandwidth suggest the card would handle high-resolution textures and heavy asset streaming without issue, but driver optimization for gaming is not the focus of this workstation part. Estimated frame rates would be high in GPU-bound scenarios at 1440p and 4K, but the lack of measured data means specific FPS figures cannot be provided. The CPU's 86th percentile ranking and the GPU's 98th percentile ranking suggest a pairing that would not leave significant performance on the table in most gaming workloads, though the GPU's workstation orientation means it may not deliver the same raw gaming numbers as a consumer GeForce part at the same price tier.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a professional workstation GPU built on the Ada Lovelace architecture, using the AD102 chip fabricated on TSMC's 5 nm process. The die contains 76,300 million transistors across a 609 mm² area, giving a transistor density of 125.3 million per square millimeter. The card operates with a base clock of 1155 MHz and a boost clock of 2550 MHz, with memory clocked at 2250 MHz (18 Gbps effective). The memory subsystem consists of 32 GB of GDDR6 on a 256-bit bus, providing a bandwidth of 576.0 GB/s. This is a substantial amount of VRAM, suitable for large 3D scenes, high-resolution textures, and AI model training that exceeds consumer GPU memory capacities.

Compute resources are extensive: 12,800 shading units, 400 texture mapping units, 176 ROPs, 100 RT cores, and 400 tensor cores. Pixel rate is 448.8 GPixel/s and texture rate is 1,020.0 GTexel/s. Floating-point performance is rated at 65.28 TFLOPS for both FP32 and FP16 (1:1 ratio), indicating strong compute for single-precision workloads and efficient half-precision processing for AI inference. The RT cores and tensor cores provide hardware acceleration for ray tracing and deep learning operations, which are critical for rendering applications like OctaneRender or Blender Cycles, as well as for machine learning frameworks. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, covering modern graphics APIs across platforms.

In synthetic benchmarks, the card scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan. The average benchmark score is 184,664, placing it in the 98th percentile among all GPUs. This is an exceptionally high standing. Compared to its nearest rivals, the RTX 5000 Ada Generation is 0.5% ahead of the NVIDIA A100 SXM4 80 GB, 1.3% behind the NVIDIA A100 SXM4 40 GB, 1.4% ahead of the NVIDIA RTX PRO 5000 Blackwell, and 3.7% ahead of the NVIDIA GeForce RTX 4090 D. These deltas are small, indicating that the RTX 5000 Ada Generation trades blows with some of the most powerful accelerators ever made, including data-center-class hardware. The 250 W TDP with a suggested 600 W PSU is modest for this level of performance, and the dual-slot design with a single 16-pin power connector makes it feasible for workstation builds. Display outputs are four DisplayPort 1.4a ports. The card is 267 mm long and 112 mm tall, fitting most mid-tower and full-tower cases.

Balance and Bottleneck

The combined percentile for this CPU+GPU pairing is 92, which is high but not at the very top of the scale. The CPU sits at the 86th percentile while the GPU is at the 98th, indicating a meaningful imbalance in raw compute capability. In CPU-bound workloads — such as physics simulations, data compression, or single-threaded application logic — the i5-13600KF would be the limiting factor. The PassMark data compression score of 475,505 and data encryption score of 26,957 are strong but not transcendent; in these tasks, the GPU's massive compute array would sit idle while the CPU works through serialized operations. Conversely, in GPU-bound workloads — like 3D rendering, deep learning training, or large-scale matrix operations — the RTX 5000 Ada Generation would be the bottleneck, with the CPU waiting on GPU results.

The lack of measured FPS data makes gaming bottleneck analysis speculative, but the benchmark scores allow an inference. The CPU's 3DMark 16-thread score of 9,404 versus the single-thread score of 1,084 shows that multi-threaded game engines would benefit from the 20 threads, but the GPU's 98th percentile ranking suggests it would dominate in most modern titles at high resolutions. At 1080p with a low-end GPU, the CPU might limit frame rates, but here the GPU is so powerful that the CPU is more likely to be the constraint in esports titles. The FPS scaling from the benchmark scores would show a plateau where increasing GPU load (via resolution or settings) does not change frame rates because the CPU is maxed out, but this is an estimate given the absence of measured data. For productivity workloads, the balance is more favorable: the CPU's 86th percentile and the GPU's 98th percentile mean that most tasks will be GPU-accelerated to some degree, and the CPU will handle orchestration and data feeding without being a severe constraint.

Upgrade Path and Platform

The CPU uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory. This is a mature socket with a wide range of motherboard options at various feature levels. The CPU provides 16 PCIe Gen 5 lanes, which can be used for a high-bandwidth GPU or NVMe storage, though the GPU in this build uses PCIe 4.0 x16, which is backward compatible and will not be a bottleneck given the current GPU's bandwidth requirements. The platform supports dual-channel memory, and the CPU's ECC support is a notable feature for workstation reliability, though it requires a motherboard and memory that explicitly support ECC.

The TDP of 125 W for the CPU and 250 W for the GPU, with a suggested PSU of 600 W, leaves headroom for additional drives, fans, and moderate overclocking. The CPU has an unlocked multiplier, allowing overclocking for users who want to push beyond the 5.10 GHz boost clock, though this would increase power draw beyond the 125 W TDP. A sensible next upgrade would be to move to a higher-core-count Raptor Lake part on the same socket, such as a Core i7 or i9 model, if the user needs more multi-threaded throughput for rendering or compilation. However, the i5-13600KF's 86th percentile ranking means that such an upgrade would only be justified for specific workloads that scale beyond 20 threads. Alternatively, adding more memory or faster NVMe storage would provide tangible benefits in load times and data throughput without changing the compute balance. The GPU's successor, Blackwell PRO W, exists as a future upgrade path, but the RTX 5000 Ada Generation's 98th percentile ranking means it will remain competitive for several years.

FAQ

Q: What is the CPU's core and thread configuration?

A: The Intel Core i5-13600KF has 14 cores and 20 threads, combining performance and efficiency cores on a Raptor Lake architecture.

Q: How much VRAM does the GPU have and what is its memory bandwidth?

A: The NVIDIA RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, yielding a bandwidth of 576.0 GB/s.

Q: What is the CPU's single-core performance ranking?

A: The CPU scores 4,479 in Cinebench R23 single-core and 1,084 in 3DMark single-thread, placing it in the 86th percentile among all CPUs overall.

Q: Does the GPU support ray tracing?

A: Yes, the RTX 5000 Ada Generation has 100 RT cores, providing hardware acceleration for ray-traced workloads.

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

A: The combined percentile is 92, indicating a high-performance pairing that sits above the vast majority of builds.

Q: What power supply is suggested for this GPU?

A: The suggested PSU is 600 W, which accommodates the GPU's 250 W TDP and the CPU's 125 W TDP with headroom.

Q: What memory types does the CPU support?

A: The CPU supports both DDR4 and DDR5 memory over a dual-channel bus, with ECC support available.

Who Should Build It

This build targets users who need professional-grade GPU compute without sacrificing CPU responsiveness. The RTX 5000 Ada Generation's 98th percentile ranking and 32 GB of VRAM make it ideal for 3D artists working on large scenes, AI researchers training models that exceed consumer GPU memory, and video editors handling 8K timelines with multiple streams. The CPU's 86th percentile ranking ensures that these workloads are not starved for processor throughput, and the 20 threads handle background tasks like asset importing or code compilation efficiently. Gamers at 4K resolution would benefit from the GPU's raw power, though the workstation orientation means driver support for games is not the primary focus; this is a build for someone who games occasionally but works with heavy compute daily. Software developers compiling large codebases would appreciate the PassMark integer math score of 122,169, which indicates fast compilation times, and the data encryption score of 26,957 supports secure development workflows. Students in engineering or data science programs would find the ECC memory support and 32 GB VRAM useful for coursework involving simulation or machine learning, though the cost of the GPU is significant. Small business workstations handling CAD, rendering, or financial modeling would benefit from the GPU's OpenGL 4.6 support and the CPU's robust multi-threaded performance.

Build Overview

This is a desktop build pairing the Intel Core i5-13600KF with the NVIDIA RTX 5000 Ada Generation. The CPU is a 14-core, 20-thread part from the Raptor Lake generation, while the GPU is an Ada Lovelace workstation accelerator with 32 GB of VRAM. The combined percentile of 92 places this build in the top 8% of all configurations, making it a high-end workstation rather than a gaming rig. The CPU's 86th percentile and GPU's 98th percentile indicate that the GPU is the dominant component in terms of raw compute, but the CPU is strong enough to avoid being a significant bottleneck in most workloads. This is a balanced pairing for compute-heavy tasks, though the GPU's workstation nature means it is not optimized for traditional gaming benchmarks.

Benchmark Performance

The CPU's average benchmark score is 38,103, placing it in the 86th percentile. Its Cinebench R23 scores are 31,727 multicore and 4,479 single-core, while Geekbench scores are 17,933 multicore and 2,487 single-core. The GPU's average benchmark score is 184,664, placing it in the 98th percentile. Its Geekbench OpenCL score is 175,286 and Vulkan score is 194,041. The CPU is within 0.4% of its nearest rivals (i5-14490F, Core Ultra 5 245T, Ryzen 7 250, i5-13600HX), while the GPU is within 3.7% of its nearest rivals (A100 SXM4 variants, RTX PRO 5000 Blackwell, RTX 4090 D). The combined picture is a system that delivers top-tier GPU compute with solid CPU performance, where the GPU outperforms the CPU in relative terms. The combined percentile of 92 confirms this is a high-end build, but the gap between the CPU and GPU percentiles suggests that the GPU is the star of the show.

Usage Scenarios

High-refresh gaming: The CPU's single-core score of 4,479 in Cinebench R23 and the GPU's 98th percentile ranking suggest this build would handle 1440p and 4K gaming at high refresh rates, though no measured FPS data exists. The GPU's workstation drivers may limit day-one game optimizations, but raw performance is ample.

Streaming: The CPU's 20 threads and PassMark multithread score of 37,488 provide enough headroom for software encoding while gaming, and the GPU's tensor cores could accelerate encoding tasks, but the lack of gaming-specific telemetry makes this an estimate.

Video editing: The GPU's 32 GB VRAM and 576.0 GB/s bandwidth handle large timelines and multiple streams, while the CPU's Cinebench R23 multicore score of 31,727 accelerates export rendering. This is a strong combination for professional editors.

3D rendering: The GPU's 65.28 TFLOPS FP32 performance and 100 RT cores make this a rendering powerhouse, with the CPU's 24 MB L3 cache and 20 threads feeding geometry data efficiently. The 98th percentile GPU ranking is the key driver here.

Software development: The CPU's PassMark integer math score of 122,169 and data encryption score of 26,957 indicate fast compilation and secure coding workflows. The GPU's compute power is less relevant for most development tasks, but the CPU's 86th percentile ranking is sufficient.

Student and office work: The CPU's single-core performance and the GPU's OpenGL support make this overkill for typical office tasks, but the ECC memory support and 32 GB VRAM could be useful for engineering students running simulations or data science students using GPU-accelerated libraries.