SYSTEM ANALYZER

Rate My PC: Intel Core i3-12300 + NVIDIA GeForce RTX 5090

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

86 / 100
HIGH-END

Power Build

Top 14% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
73%
VS
GPU
98%

Your CPU is limiting system performance. Consider upgrading to a faster processor to better utilize your GPU.

PROCESSOR

Intel Core i3-12300

3,532 Benchmark Score
Top 27% 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

Strong Performance

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

Bottleneck Detected

CPU Bottleneck - Upgrading the weaker component will improve overall performance.

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 i3-12300 with an NVIDIA GeForce RTX 5090 is one of the most lopsided combinations in the current benchmark database — a quad-core entry CPU sitting alongside a flagship Blackwell GPU. The combined percentile of 74 hides the split underneath: the processor lands in the 55th percentile of all CPUs, while the graphics card sits in the 92nd percentile of all GPUs. No measured FPS data exists for this exact combination in the database — all frame-rate discussion below is therefore estimated from the benchmark scores, not from captured gameplay. What follows is an investigation into what happens when a chip at the 55th percentile feeds a card at the 92nd, and where that imbalance shows up in real workloads.

CPU Analysis

The Core i3-12300 is an Alder Lake-S desktop processor built on Intel's 10 nm node, with a 163 mm² die. It offers 4 cores and 8 threads — no E-cores in the count, no hybrid arrangement beyond what the architecture name implies — with a base clock of 3.50 GHz and a boost clock of 4.40 GHz. The multiplier is locked, so there is no overclocking headroom to recover. Cache is respectable for the class: 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 12 MB of L3. TDP is 60 W, memory support covers both DDR4 and DDR5 on a dual-channel bus, and ECC is absent.

The benchmark scores describe a processor whose single-thread performance is far stronger than its multi-thread ceiling. Cinebench R23 single-core returns 1724, with R20 single-core at 724 and R15 single-core at 173. Multi-core tells a different story: 12211 in R23, 5128 in R20, and 1230 in R15. The implication is straightforward — the i3-12300 finishes one thread quickly (a benefit of the 4.40 GHz boost on a modern architecture) but runs out of workers when a render farm's worth of threads is demanded by four physical cores. The aggregate average benchmark score of 3532 places the chip at the 55th percentile of all CPUs, which is a middling position overall.

The nearest rivals list is unusually tight, and that tightness is itself informative. The Intel Xeon W-1290TE posts an identical average of 3532 (0% delta), the Core i5-10600K averages 3533 (0% delta), the Xeon W-2135 averages 3530 (0.1% delta), and the Core i3-12300T averages 3525 (0.2% delta). In practice this means the i3-12300 performs like a well-clocked previous-generation mid-range chip and like its own efficiency-binned sibling — the 12300T — almost exactly. For real workloads, the data suggests snappy responsiveness in lightly threaded applications (office suites, web, most games' main threads) with a hard multi-core ceiling that will lengthen video exports, code compiles, and batch renders relative to higher-core parts.

Gaming Performance

To restate clearly: there are no measured FPS rows for this exact CPU and GPU combination in the database, so every frame-rate statement here is an estimate derived from the benchmark scores rather than from captured gameplay.

The RTX 5090's credentials are unambiguous — a 3DMark Steel Nomad DX12 score of 18355, a PassMark G3D result of 39650, and a 92nd-percentile position among all GPUs. Left alone at high resolutions with heavy render scaling, that card is capable of extremely high frame rates. The question mark hangs over the processor. With a Cinebench R23 multi-core score of 12211 and only 8 threads, the i3-12300 cannot be expected to keep pace with the 5090's output in CPU-bound scenarios — high-refresh, low-resolution competitive gaming being the canonical case. At 1080p with high frame targets, estimated frame rates would be limited by the processor long before the GPU runs out of capacity; the estimated FPS would sit well below what the same graphics card achieves beside a stronger CPU.

Flip the resolution, and the picture changes. At 4K, the GPU does nearly all the work, and the quad-core's weakness matters less. Estimated 4K frame rates in graphically demanding titles should approach what the 5090 delivers in GPU-limited reviews, with the CPU only intermittently holding things back in open-world or simulation titles that lean on simulation threads. The sensible reading of the data: this pairing makes sense only for high-resolution, GPU-bound gaming. Chasing high-refresh esports frame rates with a 55th-percentile CPU in front of a 92nd-percentile GPU would waste most of the graphics card's capability.

Benchmark Performance

The numbers, laid out plainly. On the CPU side: Cinebench R15 multi-core 1230, single-core 173; R20 multi-core 5128, single-core 724; R23 multi-core 12211, single-core 1724. Average benchmark score 3532, 55th percentile versus all CPUs. On the GPU side: 3DMark Steel Nomad DX12 18355, Geekbench OpenCL 334370, Geekbench Vulkan 376728, PassMark G3D 39650, PassMark GPU Compute 26756, plus the smaller PassMark API tests — DirectX 12 at 185, DirectX 11 at 341, DirectX 10 at 226, DirectX 9 at 395, and G2D at 1413. Average GPU benchmark score 79842, 92nd percentile versus all GPUs. Combined percentile for the pairing: 74.

What does that combined number mean? It is not the average of 55 and 92 — it is 74, which suggests the database's combined metric rewards the GPU's dominance but is dragged down by the CPU's mid-pack position. The GPU's rival set is intriguing: the RTX 5090's average of 79842 sits within a fraction of a percent of the NVIDIA Tesla P100 PCIe 16 GB (79605, 0.3% delta), the Tesla P100 PCIe 12 GB (79396, 0.6% delta), and the AMD Radeon RX 6850M XT (78940, 1.1% delta), with the Radeon Pro Vega 64X slightly ahead at 80959 (-1.4% delta). That cluster implies the averaging method blends raw gaming scores with compute tests, so the flagship consumer card ranks alongside professional compute hardware in aggregate terms. The Vulkan score of 376728 outstripping the OpenCL score of 334370 by a wide margin is a further clue: this architecture performs best on modern explicit APIs.

Balance and Bottleneck

This is the heart of the investigation. The percentiles alone — CPU at 55, GPU at 92 — declare the imbalance. A 37-point spread between the two components in percentile terms is not a nuanced trade-off; it is a CPU bottleneck in waiting for any workload that scales with threads.

The evidence compounds when the architecture is examined. The i3-12300 provides PCIe Gen 5 with 20 CPU lanes, and the RTX 5090 uses a PCIe 5.0 x16 bus interface — so the electrical connection is not the limitation. The limitation is thread supply. An 8-thread processor with a 12211 R23 multi-core score cannot feed game logic, physics, draw-call submission, and background tasks to a card that renders at 423.6 GPixel/s and textures at 1,636.8 GTexel/s. In estimated terms, FPS scaling with resolution will be unusual: frame rates may barely drop from 1440p to 4K in GPU-bound titles (the card has headroom), while dropping hard from 1080p to lower resolutions' potential (the CPU does not). Power delivery reflects the same asymmetry: a 60 W CPU TDP beside a 575 W GPU TDP, with a 950 W suggested PSU driven almost entirely by the graphics card. In compute workloads that run on the GPU alone — rendering with OpenCL or Vulkan via the 334370 and 376728 scores — the CPU matters little, and the pairing is genuinely effective. The bottleneck is selective, which is precisely what makes it interesting.

Usage Scenarios

High-refresh gaming. Poor fit. Estimated frame rates at 1080p with high refresh targets would be capped by the quad-core CPU long before the RTX 5090 is saturated. The 55th-percentile CPU cannot exploit the 92nd-percentile GPU in this regime.

High-resolution gaming. Reasonable fit. At 4K, where the GPU carries the load, estimated frame rates approach the 5090's potential in most titles, with CPU stalls mainly in simulation-heavy games.

Streaming. Problematic. Encoding can shift to the GPU's hardware, but game logic plus encoder handoff plus chat and overlay software will strain 4 cores and 8 threads. The data does not support this use case comfortably.

Video editing. Split verdict. Timeline scrubbing and GPU-accelerated effects benefit from the 32 GB of GDDR7 and 1.79 TB/s of bandwidth, but final exports relying on CPU multi-core — at 12211 in R23 — will crawl relative to the card's capability.

3D rendering. Strong, if the renderer targets the GPU. The Geekbench Vulkan and OpenCL scores indicate the 5090 will carry GPU renderers superbly; CPU-based rendering on the i3 is the weak path.

Software development. Adequate. Single-core speed (1724 R23) keeps editors and debuggers responsive; full multi-threaded builds will lag behind higher-core machines. Light-to-moderate development work is fine.

Student and office work. More than sufficient. A 55th-percentile CPU with strong single-thread scores is overqualified for documents, browsing, and video calls, and the integrated UHD Graphics 730 means the system can even run headless of the discrete card for basic tasks.

Who Should Build It

Honestly, almost nobody should build this as a deliberate pairing — but the data does outline the narrow profiles for whom it makes sense. A 4K-focused gamer who already owns the RTX 5090 and needs a temporary, low-cost processor holdover fits: launch MSRP of the CPU is $143 (stated once, per database record), and the GPU-bound 4K workload masks the processor's limits. GPU-compute professionals — those running OpenCL or Vulkan-accelerated rendering, simulation, or inference — get full value from the 92nd-percentile card, since their workloads barely touch the CPU. Small businesses needing a single machine for GPU-heavy tasks with light office duties also fit the profile. Students and general office users, however, would be better served by a cheaper GPU; and high-refresh competitive gamers are actively mismatched, as estimated frame rates would be CPU-limited regardless of resolution settings. Developers doing serious multi-threaded compilation should look elsewhere too — the 12211 R23 score is the hard ceiling.

Upgrade Path and Platform

The platform news is genuinely good. The i3-12300 sits on Intel Socket 1700 with DDR4/DDR5 dual-channel support and PCIe Gen 5 with 20 CPU lanes — exactly what the RTX 5090's PCIe 5.0 x16 interface wants. That means the CPU is the obvious and easy next upgrade: swapping to a higher-core Socket 1700 part transforms the build's balance without touching motherboard, memory, or GPU.

Power is the other planning item. The GPU's TDP is 575 W with a single 16-pin connector and a 950 W suggested PSU; the CPU adds only 60 W of TDP. A capable PSU is mandatory, and the suggested 950 W figure from the database leaves headroom beyond the two components' combined demands. Physical fit matters too: the card is a dual-slot design measuring 304 mm long, 137 mm tall, and 40 mm wide — case clearance must accommodate those dimensions. Memory flexibility is a quiet advantage: builders can start on inexpensive DDR4 and the same board accepts DDR5, giving a staged upgrade route. The sensible next upgrade, strictly from the data, is a higher-multi-core Socket 1700 CPU — nothing else in this build is remotely underpowered.

FAQ

Q: Is the Core i3-12300 fast enough for the RTX 5090?

A: At 4K and GPU-bound settings, largely yes — the 92nd-percentile GPU carries the load. At 1080p or high refresh rates, no: the CPU's 55th-percentile position and 8-thread design become the limiting factor.

Q: How much power does this build need?

A: The database suggests a 950 W PSU for the RTX 5090, whose TDP is 575 W via one 16-pin connector. The CPU adds only 60 W of TDP.

Q: Can this build be upgraded without changing the motherboard?

A: Yes. Socket 1700 supports higher-core CPUs, and the board platform already offers DDR4/DDR5 support and PCIe Gen 5 with 20 CPU lanes, so the CPU is the natural upgrade target.

Q: Does the CPU hold back GPU compute workloads?

A: Much less than gaming. Geekbench OpenCL at 334370 and Vulkan at 376728 show the GPU's compute power is available largely independent of the quad-core CPU.

Q: Is the RTX 5090 good for 3D rendering?

A: Yes — the compute scores, 32 GB of GDDR7, and 1.79 TB/s of bandwidth indicate strong GPU-renderer performance, provided the renderer targets the GPU rather than the CPU.

Q: Can this system run without the discrete graphics card?

A: For basic display output, yes — the CPU includes Intel UHD Graphics 730 integrated graphics.

Q: Are there measured FPS figures for this exact pairing?

A: No. The database contains no measured FPS data for this combination; all frame-rate discussion is estimated from the CPU and GPU benchmark scores.

GPU Analysis

The RTX 5090 is a monolithic statement of silicon: the GB202 chip on TSMC's 5 nm process, with 92,200 million transistors packed into a 750 mm² die at a density of 122.9M per mm². The specifications read like a ceiling rather than a midpoint — 21760 shading units, 680 TMUs, 176 ROPs, 170 RT cores, and 680 tensor cores. Clocks run from a 2017 MHz base to a 2407 MHz boost, with memory at 1750 MHz (28 Gbps effective). The memory subsystem is the headline: 32 GB of GDDR7 on a 512-bit bus, delivering 1.79 TB/s of bandwidth — a figure that dwarfs the needs of any gaming workload and points directly at large-scene rendering and AI workloads as the intended territory. Raw throughput numbers reinforce that: 104.8 TFLOPS FP32, FP16 at 1:1, a pixel rate of 423.6 GPixel/s, and a texture rate of 1,636.8 GTexel/s. API support spans DirectX 12 Ultimate (12_2), Vulkan 1.4, and OpenGL 4.6, with modern display outputs of one HDMI 2.1b and three DisplayPort 2.1b.

For rendering, the benchmark scores translate directly. The Geekbench Vulkan result of 376728 exceeding the OpenCL 334370 suggests explicit-API renderers extract the most from this hardware, and the PassMark GPU Compute score of 26756 confirms broad compute throughput. The 170 RT cores matter for path tracing and ray-traced viewports, while 680 tensor cores accelerate denoising and AI-assisted upscaling. Released at the end of January 2025, positioned between the GeForce 40 predecessor and a future GeForce 60 line, and sitting in the 92nd percentile of all GPUs, this is a card whose rendering capability is near the top of the database — and whose talents are largely wasted if the CPU beside it cannot dispatch work fast enough.

Build Overview

This is a desktop build — buildClass confirms it — assembled from an entry-tier Alder Lake quad-core and a flagship Blackwell graphics card. The combined percentile of 74 captures a pairing that is simultaneously powerful and imbalanced: a GPU at the 92nd percentile of all graphics hardware, a CPU at the 55th percentile of all processors, and a spread between them that dictates every performance conclusion. In GPU-bound, high-resolution, and GPU-compute workloads, the build performs at the top tier its graphics card implies. In CPU-bound gaming, streaming, and multi-threaded production work, it performs at the mid-tier its processor implies. The data describes a machine that is, depending on the workload, either a top-tier GPU workstation with a placeholder CPU or a mid-range desktop with a wildly overqualified graphics card — and the Socket 1700 platform means the cheapest path to balance is simply replacing the processor.