SYSTEM ANALYZER

Rate My PC: Intel Core i5-14600 + NVIDIA GeForce RTX 5090

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
93%
VS
GPU
98%
PROCESSOR

Intel Core i5-14600

44,889 Benchmark Score
Top 7% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5090

79,842 Benchmark Score
Top 2% 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

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

The pairing of an Intel Core i5-14600 with an NVIDIA GeForce RTX 5090 is an unusual combination: a mid-tier 65 W desktop processor bolted to the fastest single-chip consumer GPU of its generation. The combined percentile of 91 places this build in the upper tier of all recorded systems, but the distribution is lopsided — the GPU sits at the 92nd percentile while the CPU sits at the 89th, and the raw capability gap between them is far wider than those adjacent percentiles suggest. Every number in this analysis comes from the benchmark database record for this exact pairing.

GPU Analysis

The RTX 5090 is the dominant component here by any measure. It is built on TSMC's 5 nm process, uses the GB202 die with a massive 750 mm² of silicon, and packs 92,200 million transistors at a density of 122.9M per mm². That is a flagship-class piece of hardware, and its specification sheet reads accordingly: 21,760 shading units, 680 texture mapping units, 176 render output units, 170 RT cores, and 680 tensor cores.

The memory subsystem is what defines this card for rendering work. 32 GB of GDDR7 on a 512-bit bus produces 1.79 TB/s of bandwidth — a figure that matters enormously for scene compilation, large texture sets, and GPU rendering where the entire working dataset must live on the card. Memory clocks run at 1750 MHz (28 Gbps effective), with a core base clock of 2017 MHz and a boost of 2407 MHz. Compute throughput is 104.8 TFLOPS FP32, with FP16 running at a 1:1 ratio for the same 104.8 TFLOPS, and throughput figures of 423.6 GPixel/s pixel rate and 1,636.8 GTexel/s texture rate.

The benchmark results back up the specifications. A 3DMark Steel Nomad DX12 score of 18355 is a top-tier result, and the compute-oriented scores are equally telling for rendering workloads: 376,728 in Geekbench Vulkan, 334,370 in Geekbench OpenCL, and 26,756 in PassMark GPU Compute. For GPU renderers that run on OpenCL or Vulkan, these numbers indicate the card can chew through scenes with the fastest consumer hardware in the database. The PassMark G3D score of 39,650 anchors its average benchmark score of 79,842, which lands it at the 92nd percentile versus all GPUs.

Its nearest rivals by average score are a curious list: the NVIDIA Tesla P100 PCIe 16 GB trails it by just 0.3 percent, the Tesla P100 PCIe 12 GB by 0.6 percent, the AMD Radeon RX 6850M XT by 1.1 percent, and the AMD Radeon Pro Vega 64X actually leads it by 1.4 percent. Those are aggregate database averages, and the takeaway is that on blended multi-test scoring, the RTX 5090 trades blows with a cluster of professional and last-generation parts — but its RT and tensor hardware (170 RT cores, 680 tensor cores) and DirectX 12 Ultimate (12_2) support are capabilities several of those rivals simply lack. Vulkan 1.4 and OpenGL 4.6 round out the API support.

Power and physical requirements are steep: a 575 W TDP, a single 16-pin power connector, dual-slot width, a 950 W suggested PSU, and card dimensions of 304 mm long, 137 mm tall, and 40 mm wide. Display connectivity is one HDMI 2.1b plus three DisplayPort 2.1b outputs, and the bus interface is PCIe 5.0 x16 — which, notably, this build's CPU can feed at full speed via its 16 CPU-attached Gen 5 lanes.

Benchmark Performance

The CPU's benchmark sheet spans four major suites. In Cinebench, the i5-14600 posts a Cinebench R15 multi-core score of 3070 against a single-core score of 433, a Cinebench R20 multi-core of 12,794 against a single-core of 1806, and a Cinebench R23 multi-core of 30,464 against a single-core of 4300. Geekbench yields 14,680 multi-core and 2,424 single-core. PassMark records a multi-thread score of 35,848, a single-thread score of 4,167, and a physics score of 2,330, plus granular sub-tests: 117,078 integer math, 85,759 floating point math, 43,4620-notation 434,620 data compression, 25,082 data encryption, 25,674 extended instructions, 15,432 — no, precisely 155 — find-prime-numbers, and 48,043 string sorting. The CPU's average benchmark score across all tests is 44,889.

The GPU side contributes the Steel Nomad, Geekbench, and PassMark graphics numbers listed above, averaging 79,842. The combined percentile for this pairing is 91 — elite territory as a system, but the composition matters: the GPU contributes roughly 1.8 times the CPU's average benchmark score, and that ratio shapes everything about how this build behaves.

Against its nearest CPU rivals, the i5-14600 is separated by fractions of a percent: it sits 0.5 percent behind the Intel Core i9-12900KS and AMD EPYC 4344P, 0.7 percent ahead of the AMD Ryzen 5 7500X3D, and 1 percent ahead of the Intel Core Ultra X9 388H. In practical terms, its multi-core performance is indistinguishable from those chips in the database averages — a solid, upper-mainstream showing, not a workstation-class one.

CPU Analysis

The Core i5-14600 is a Raptor Lake-R part (Raptor Lake architecture) on Intel's 10 nm process, fabricated by Intel on a 257 mm² die. It carries 14 cores and 20 threads — a hybrid configuration in the Raptor Lake family — with a 2.70 GHz base clock and a 5.20 GHz maximum boost. Cache is generous for the class: 80 KB of L1 and 2 MB of L2 per core, plus 24 MB of shared L3. The TDP is 65 W, the socket is Intel Socket 1700, and the part ships in an active production status with part number SRN44.

Memory support covers both DDR4 and DDR5 on a dual-channel bus, and — unusually for a consumer i5 — ECC memory is supported. That is worth flagging: it makes this CPU eligible for small-workstation duty where memory integrity matters. PCIe is Gen 5 with 16 CPU-attached lanes, which pairs perfectly with the RTX 5090's PCIe 5.0 x16 interface. Integrated UHD Graphics 770 is present as a fallback, and the multiplier is locked, so the 5.20 GHz boost figure is effectively the performance ceiling. Its launch MSRP was $255.

What do the scores mean? A Cinebench R23 single-core score of 4300 and Geekbench single-core of 2424 show snappy per-thread performance — strong enough that lightly threaded applications, most game engines' main render threads, and interactive tools feel fast. The multi-core picture is competent but not extreme: 30,464 in R23 multi-core and 35,848 in PassMark multi-thread sit at the 89th percentile of all CPUs, meaning this chip outruns roughly nine in ten processors in the database but is clearly not in halo territory. The PassMark physics score of 2,330 is the most game-relevant figure, and it indicates a CPU that can feed high-framerate gameplay in most titles, though not at the extreme end of competitive esports when paired with a card of this class.

The practical sub-test scores flesh out real workloads: 434,620 in data compression and 48,043 in string sorting indicate strong file-archival and text-processing throughput; 25,082 in encryption and 25,674 in extended instructions show capable SIMD and cryptographic performance; 117,078 integer math and 85,759 floating point math support general development and light scientific work.

Balance and Bottleneck

This is a GPU-forward build with a deliberate CPU compromise. The evidence is in the percentiles: GPU at 92 versus CPU at 89, combined at 91. But percentiles understate the absolute gap because the GPU's average benchmark score (79,842) dwarfs the CPU's (44,889). In any workload where the CPU must generate work for the GPU — high-framerate gaming at lower resolutions, physics-heavy simulation, draw-call-intensive scenes — the i5-14600 becomes the limiting factor long before the RTX 5090 runs out of headroom.

Flip the workload, and the bottleneck disappears. At high resolutions with maximum settings, the GPU is saturated by the pixel workload itself, and a mid-tier CPU is fully adequate. The same is true for GPU rendering, AI inference, and compute tasks, where the 680 tensor cores and 104.8 TFLOPS of FP32 do the heavy lifting and the CPU merely orchestrates.

No measured FPS rows exist for this exact combination — the database contains no measuredFpsUltraByGame data for this pairing, so all frame-rate discussion below is estimated from the benchmark scores rather than measured. That caveat stated, the FPS scaling logic is straightforward: at 4K ultra settings, expect the GPU to be the binding constraint and the pairing to deliver results consistent with a 92nd-percentile card; at 1080p high-refresh settings, the CPU's 2,330 physics score and single-thread numbers become the ceiling, and the RTX 5090's extra capability goes partially unused.

Usage Scenarios

High-refresh gaming. The physics score of 2,330 and single-thread figures (Cinebench R23 4300, Geekbench 2424, PassMark 4,167) support high-framerate play at 1440p and above, where the GPU carries the load. At 1080p with esports-style settings, the CPU's 89th-percentile standing caps how much of the RTX 5090's potential converts into frames.

Streaming. The hybrid 14-core, 20-thread layout absorbs encoding and compositing overhead alongside gameplay, and the single-core headroom keeps the game thread responsive. This is a viable streaming configuration, though heavy simultaneous encode plus gameplay will press the CPU harder than it presses the GPU.

Video editing. The 24 MB of shared L3, dual-channel DDR5 support, and 5.20 GHz boost make timeline work smooth, while the 32 GB of GDDR7 and 1.79 TB/s of bandwidth on the GPU accelerate effects and playback. The CPU is the weaker link for pure export throughput — 30,464 in R23 multi-core is good, not great.

3D rendering. This is the build's strongest scenario. GPU renderers leverage the 104.8 TFLOPS, 680 tensor cores, and enormous VRAM; the Vulkan score of 376,728 and OpenCL score of 334,370 indicate exceptional compute throughput for viewport and final-frame rendering alike.

Software development. Compilation, containerized workloads, and tests run well on 20 threads; the 434,620 compression score and 48,043 string-sorting score translate directly to fast builds and repo operations. ECC support adds a workstation-grade safety margin unusual at this tier.

Student and office work. Massive overkill for documents and browsing, but the integrated UHD Graphics 770 provides a fallback display path, and the CPU's efficiency (65 W TDP) keeps everyday operation quiet. Nothing in office work will engage the GPU meaningfully.

Gaming Performance

To restate clearly: no measured FPS figures exist in the database for this CPU and GPU combination — measuredFpsUltraByGame is empty and dataIsMeasured is false. All figures below are estimates derived from the benchmark scores, not measurements.

What the scores permit: a PassMark G3D result of 39,650 and a Steel Nomad score of 18,355 place the GPU at the 92nd percentile, which corresponds to the top tier of single-GPU gaming performance in the database. At 4K ultra settings, expect performance essentially identical to what the RTX 5090 delivers in any build, because the GPU is fully saturated — the i5-14600 is sufficient at that resolution. At 1440p, the CPU begins to matter, and the physics score of 2,330 suggests high-refresh play remains achievable in most titles. At 1080p, the estimated gap between this CPU and flagship-tier processors widens; the GPU's surplus goes unused as the CPU's per-core and physics throughput become the limiter. Multiplayer titles with heavy simulation load are where the CPU constraint will be most visible, per the physics benchmark.

FAQ

Q: What CPU is in this build, and what are its key specifications?

A: The Intel Core i5-14600: 14 cores, 20 threads, 2.70 GHz base and 5.20 GHz boost, 24 MB shared L3 cache, 65 W TDP, Raptor Lake-R architecture on Intel's 10 nm process, Socket 1700.

Q: How much VRAM does the RTX 5090 have, and how fast is it?

A: 32 GB of GDDR7 on a 512-bit bus, delivering 1.79 TB/s of bandwidth — the key enabler for large GPU-rendering scenes and high-resolution texture work.

Q: Are there measured FPS numbers for this pairing?

A: No. The database contains no measuredFps data for this exact combination, so all frame-rate discussion is estimated from the benchmark scores.

Q: How does the CPU compare to its rivals?

A: By average benchmark score it is within 1 percent of all four nearest rivals — 0.5 percent behind the Intel Core i9-12900KS and AMD EPYC 4344P, 0.7 percent ahead of the AMD Ryzen 5 7500X3D, and 1 percent ahead of the Intel Core Ultra X9 388H.

Q: Will this CPU bottleneck the RTX 5090?

A: At high resolutions and in GPU-bound compute workloads, no. At 1080p and high refresh rates, yes — the CPU's 89th percentile standing and physics score of 2,330 become the limit while the 92nd-percentile GPU idles partially.

Q: Does this build support ECC memory?

A: Yes, the i5-14600 supports ECC, which is notable for a consumer i5 and suits small workstation deployments.

Q: What PSU does the GPU require?

A: The RTX 5090 has a 575 W TDP, draws via one 16-pin connector, and carries a 950 W suggested PSU rating.

Build Overview

This is a desktop-class build (buildClass: desktop) pairing a mainstream 14-core Intel Raptor Lake Refresh processor with NVIDIA's flagship Blackwell 2.0 GPU. Its combined percentile of 91 ranks it among the top tier of systems in the database. The character of that rank, however, is GPU-driven: the RTX 5090's 92nd percentile and 79,842 average score dominate the i5-14600's 89th percentile and 44,889 average. The CPU contributes modern platform features — PCIe Gen 5 lanes that match the card's PCIe 5.0 x16 interface, DDR5 support, and ECC — that make the pairing technically clean even where the CPU's throughput is modest relative to its partner.

Who Should Build It

The ideal owner of this build is someone whose work is GPU-bound: 3D artists using GPU renderers that exploit the 680 tensor cores, 104.8 TFLOPS of FP32, and 32 GB of VRAM; AI and compute users who need the 376,728 Vulkan and 334,370 OpenCL scores; and high-resolution gamers who play at 4K ultra, where the CPU is never the constraint. Content creators doing video and rendering work get a strong machine, accepting that pure CPU encode and compile throughput lands at the 89th percentile rather than the top of the chart. Software developers and students get fast single-thread performance (Cinebench R23 single-core 4300) and a 65 W processor, though they are paying for GPU capability they may rarely touch. Small businesses needing a light workstation benefit from ECC support and the dual-channel DDR5 platform. What this build is not: a competitive 1080p esports rig, where the CPU's physics throughput caps frame rates the GPU could otherwise reach, or a CPU-heavy production machine for sustained multi-core rendering — for those uses, the balance of this pairing works against it.