SYSTEM ANALYZER

Rate My PC: Intel Core i5-13500E + NVIDIA GeForce RTX 5080

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

87 / 100
HIGH-END

Power Build

Top 13% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
77%
VS
GPU
97%
PROCESSOR

Intel Core i5-13500E

6,586 Benchmark Score
Top 23% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA GeForce RTX 5080

56,083 Benchmark Score
Top 3% 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

# GPU Analysis — VRAM, bandwidth, clocks, RT/tensor hardware, what the benchmark scores mean for rendering

The NVIDIA GeForce RTX 5080 is a Blackwell 2.0 architecture GPU built on TSMC's 5 nm process, packing 45,600 million transistors into a 378 mm² die. That transistor density of 120.6 million per square millimeter is substantial, and it translates into a raw compute capability that puts this card in the 87th percentile of all GPUs. The data shows a GPU that is not merely incremental — it is positioned to handle heavy rasterization and compute workloads with authority.

Memory is a defining strength. The RTX 5080 carries 16 GB of GDDR7 on a 256-bit bus, delivering 960.0 GB/s of bandwidth. That is a high figure, and it matters for texture-heavy scenes, high-resolution rendering, and any workload where data movement is the bottleneck. The memory clock runs at 1875 MHz with 30 Gbps effective transfer rate, which is fast enough to feed the shading units without stalling. For a 16 GB card, the bandwidth-to-capacity ratio is well balanced; you are not likely to run out of VRAM in most current titles at 1440p, and even 4K textures fit comfortably.

The compute configuration is robust: 10,752 shading units, 336 texture mapping units, and 112 ROPs. Pixel rate sits at 293.1 GPixel/s, and texture rate at 879.3 GTexel/s. These numbers indicate strong fill-rate performance, which is critical for high-resolution gaming and for renderers that rely on rasterization. The FP32 throughput of 56.28 TFLOPS, with FP16 at the same 56.28 TFLOPS (1:1 ratio), means the card is equally adept at standard single-precision compute and half-precision AI-style workloads. That 1:1 ratio is notable — it suggests the hardware does not artificially throttle FP16, which is useful for machine learning inference and certain rendering paths.

Ray tracing and tensor hardware are where the 50-series architecture distinguishes itself. The RTX 5080 has 84 RT cores and 336 tensor cores. These are dedicated units, and their presence shows up in the benchmarks: the 3DMark Steel Nomad DX12 score of 8,637 indicates strong DirectX 12 performance, while the Geekbench Vulkan score of 255,450 confirms the GPU can leverage low-level APIs effectively. The OpenCL score of 235,901 reinforces that compute-heavy tasks like rendering or physics simulation are well supported. Tensor cores are particularly relevant for DLSS and other AI-accelerated features; with 336 of them, the card can handle upscaling and frame generation without stealing too many resources from the main shading array.

Passmark scores add another layer of interpretation. The G3D score of 36,565 places the card in a high tier, but the DirectX 12 score of 151 is oddly low compared to the G3D aggregate — this suggests that synthetic DX12 tests may not fully capture the card's real-world strengths. The DirectX 11 score of 324 and DirectX 10 score of 208 are more consistent with a modern GPU that excels in older API paths. The G2D score of 1,415 is modest, but that is expected for a gaming-focused card where 2D desktop compositing is not the priority. GPU compute score of 21,789 is solid, indicating the card can offload general-purpose tasks effectively.

For rendering specifically, the combination of 960 GB/s bandwidth, 56.28 TFLOPS FP32, and 84 RT cores means the RTX 5080 is well-suited for real-time ray tracing in games and for GPU-accelerated renderers like Blender or V-Ray that leverage CUDA cores. The 16 GB VRAM is sufficient for most production scenes, though extremely large 8K textures or complex simulations might push against that limit. The card's 360 W TDP and 750 W suggested PSU indicate it draws serious power, but that is the cost of this level of performance.

# Benchmark Performance — exact CPU and GPU scores, percentile positions, and what the combined picture is

The combined percentile for this build is 75, which means this pairing outperforms three-quarters of all desktop configurations in the database. That is a strong position, but it is worth breaking down where each component contributes. The CPU, an Intel Core i5-13500E, sits at the 62nd percentile of all CPUs with an average benchmark score of 6,586. The GPU, by contrast, is at the 87th percentile with an average score of 56,083. The gap between the two percentiles is telling: the GPU is the dominant component here, and the CPU is adequate but not exceptional.

Looking at the GPU's nearest rivals, the data shows a tight cluster. The AMD Radeon 8060S is 0.6% ahead, the Radeon RX 6750 GRE 12 GB is 0.7% ahead, and the Radeon Pro W5700X is 2.3% ahead. On the other side, the Radeon RX 9070 GRE is 2.2% behind. These deltas are small — nearly all within a 5% band — which means the RTX 5080 is competitively positioned but not a runaway leader. The performance is real, but there are close alternatives that offer similar raw compute.

The CPU's nearest rivals paint a different picture. The Intel Atom x7405C is a mere 0.3% ahead, and the Intel Core i9-10940X and Intel Pentium Gold G6405 are both 0.3% behind. The Intel Core i9-12900E is 0.4% behind. These are unusual neighbors — an Atom, a Pentium, and a decade-old HEDT chip — which suggests that the average benchmark score of 6,586 is not capturing the full story of the i5-13500E's capabilities. The average score aggregates across many tests, and this CPU's single-thread and multi-thread performance diverge significantly, as the detailed Cinebench scores show.

In Cinebench R23, the multi-core score is 22,772 and the single-core score is 3,214. That multi-core figure is strong for a 65 W TDP part, indicating that the 14 cores are working efficiently. The R20 scores are 9,564 multi-core and 1,349 single-core, and the R15 scores are 2,295 multi-core and 323 single-core. These scores scale consistently across versions, giving confidence that the CPU is delivering stable performance. The single-core scores are particularly relevant for gaming and lightly threaded tasks, where the 4.60 GHz boost clock matters.

The combined picture is a system where the GPU is clearly the star. The RTX 5080's 87th percentile ranking is the headline number, while the CPU's 62nd percentile is adequate but not elite. For workloads that are GPU-bound — which includes most modern gaming at high resolutions and many rendering tasks — this pairing will perform at a high level. For CPU-bound tasks like physics simulation or heavy multitasking, the i5-13500E will hold its own but will not lead the pack.

# CPU Analysis — cores, clocks, architecture, what the benchmark scores mean for real workloads

The Intel Core i5-13500E is a Raptor Lake-S part on the Intel Socket 1700 platform, built on a 10 nm process with a die size of 215 mm². It has 14 cores and 20 threads, which is an unusual configuration: that comes from a mix of performance and efficiency cores, a hallmark of Intel's hybrid architecture. The base clock is 2.40 GHz, and the boost clock reaches 4.60 GHz. The 65 W TDP is modest for a 14-core part, making it a power-efficient choice for a desktop build.

Cache hierarchy is substantial. Each core has 80 KB of L1, and each core has 1.25 MB of L2, which is generous. The L3 cache is 24 MB shared across all cores. That shared L3 is important for workloads that communicate between cores, as it reduces the need to go to system memory. The memory support includes both DDR4 and DDR5, with a dual-channel bus. ECC memory is supported, which is a feature typically found in workstation-oriented CPUs — this makes the i5-13500E viable for tasks where data integrity is critical, such as financial modeling or scientific computing.

The UHD Graphics 770 integrated GPU is present, which is useful for troubleshooting or for systems that run headless but need a display output for initial setup. However, with the RTX 5080 in the system, the iGPU is largely irrelevant for graphics work.

Benchmark scores reveal a CPU that is balanced but not extreme. The Cinebench R23 multi-core score of 22,772 is strong for a 65 W part — it indicates that the 14 cores are boosting well and the thermal design allows sustained load. The single-core score of 3,214 is respectable, showing that the 4.60 GHz boost clock is effective for lightly threaded tasks. The R20 and R15 scores follow the same pattern, with multi-core performance scaling roughly linearly with the R23 results.

The percentile rank of 62 means this CPU is better than 62% of all CPUs in the database, but it is not a top-tier part. The nearest rivals include the Intel Core i9-12900E, which is only 0.4% behind — that is a 12th-gen part with similar core counts, so the i5-13500E is effectively matching a previous-generation i9 in aggregate performance. The Intel Core i9-10940X, a 10th-gen HEDT chip, is also within 0.3%, which shows that the i5-13500E's hybrid architecture is competitive with older high-core-count parts.

For real workloads, this CPU is well-suited to tasks that benefit from multiple cores but do not require extreme thread counts. Video editing, software compilation, and 3D rendering all see gains from the 14 cores. The 20 threads handle concurrent tasks well, and the 24 MB L3 cache helps with data-heavy workflows. The 65 W TDP means it can be cooled by a capable air cooler, and it will not tax a PSU designed for the RTX 5080's 360 W draw.

The lack of an unlocked multiplier means no overclocking, but the boost clock of 4.60 GHz is already high. For most users, the stock performance is sufficient; the headroom for manual tuning is limited but not necessary given the benchmark results.

# Balance and Bottleneck — which component limits which workload, using percentiles and FPS scaling as evidence

The balance between the i5-13500E and the RTX 5080 is skewed toward the GPU. The GPU's 87th percentile versus the CPU's 62nd percentile creates a situation where, in most gaming scenarios, the GPU is the limiting factor — which is generally desirable, as it means the system is extracting maximum graphics performance. The data does not contain measured FPS for this exact pairing, so any FPS discussion is estimated from the benchmark scores, but the percentile gap is the primary evidence.

In GPU-bound workloads — which is most gaming at 1440p or 4K with high settings — the RTX 5080 will be the bottleneck. That is not a negative; it means the GPU is being fully utilized. The CPU's 62nd percentile is sufficient to feed the GPU in most cases, as the single-core score of 3,214 in Cinebench R23 indicates strong per-thread performance. The 4.60 GHz boost clock ensures that game logic threads do not stall GPU rendering.

However, in CPU-bound workloads — such as physics-heavy simulations, strategy games with many units, or streaming while gaming — the i5-13500E's 62nd percentile becomes the limiting factor. The multi-core score of 22,772 is good, but it is not at the level of a high-end i9 or Ryzen 9. If a game is poorly threaded or relies on a single thread for critical path, the CPU could hold back the GPU. The near-rival data shows the CPU is within 0.4% of the i9-12900E, so it is not a weak part — but it is not a flagship either.

The GPU's nearest rivals offer a different perspective. The RTX 5080 is within 2.3% of the AMD Radeon Pro W5700X and within 0.7% of the RX 6750 GRE, which means there is no massive performance headroom over those alternatives. This is important for bottleneck analysis: if the CPU were the limiting factor, those rivals would perform similarly, but the GPU's high percentile suggests it is the component driving the system's overall 75th combined percentile.

In mixed workloads — like video editing where the CPU handles encoding and the GPU handles effects — the balance is more even. The CPU's 14 cores can handle encoding, while the GPU's 56.28 TFLOPS FP32 accelerates effects. The 16 GB VRAM is ample for video editing timelines, and the 960 GB/s bandwidth helps when scrubbing through high-resolution footage.

Power draw is another balance consideration. The CPU's 65 W TDP is low, and the GPU's 360 W TDP is high. The 750 W suggested PSU provides sufficient headroom for both under load, with margin for transient spikes. This is a well-matched system in terms of power delivery.

# Usage Scenarios — grounded in the scores: high-refresh gaming, streaming, video editing, 3D rendering, software development, student and office work. One short paragraph per scenario, citing the numbers that support the verdict

High-refresh gaming: The RTX 5080's 87th percentile and 56.28 TFLOPS FP32 make it well-suited for high-refresh gaming at 1440p, where the GPU's 960 GB/s bandwidth and 16 GB VRAM ensure textures load fast and frame times stay low. The CPU's single-core score of 3,214 in Cinebench R23 is sufficient to drive high frame rates, though at 4K the GPU will be the primary factor.

Streaming: The i5-13500E's 14 cores and 20 threads provide headroom for software encoding while gaming, though the GPU's tensor cores can also handle encoding via NVIDIA's hardware. The 65 W CPU TDP means less heat in the case, which benefits system stability during long streams. The 24 MB L3 cache helps with the multi-tasking demands of running a game, streaming software, and chat clients.

Video editing: The CPU's multi-core score of 22,772 in Cinebench R23 accelerates export times, while the GPU's 56.28 TFLOPS FP32 and 16 GB VRAM handle effects and color grading. The 960 GB/s bandwidth ensures smooth timeline scrubbing with high-resolution footage, and the 20 threads manage multiple background processes without stutter.

3D rendering: The 84 RT cores and 336 tensor cores on the RTX 5080 are directly relevant for ray-traced rendering, and the 56.28 TFLOPS FP32 provides raw compute for GPU renderers. The CPU's 14 cores handle scene preparation and physics, and the 24 MB L3 cache reduces memory latency. The 16 GB VRAM is sufficient for most scenes, though extremely complex ones may require optimization.

Software development: The CPU's 14 cores and 20 threads compile code efficiently, and the 65 W TDP keeps power draw low during long builds. The dual-channel DDR4/DDR5 support allows for flexible memory configurations, and ECC support is a bonus for data-critical development work. The GPU is overkill for most development tasks, but it enables local AI model testing via the tensor cores.

Student and office work: This system is significantly overpowered for document editing, web browsing, and spreadsheets. The CPU's single-core performance is more than adequate, and the GPU's 87th percentile is entirely unnecessary for office applications. However, the 65 W CPU TDP means the system runs cool and quiet, which is pleasant in a shared space. The 16 GB VRAM is irrelevant for this use case, making this a poor cost-to-performance choice for basic tasks.

# Gaming Performance — measured FPS by game and resolution from measuredFpsUltraByGame (or, if dataIsMeasured is false, frame expectations qualitatively from the benchmark scores and say the figures are estimates)

The FACT PACK contains no measured FPS data for this exact CPU-GPU combination. The `measuredFpsUltraByGame` field is empty, and `dataIsMeasured` is false. Therefore, all frame rate discussions below are estimates derived from the benchmark scores, not empirical measurements.

Given the RTX 5080's 87th percentile and the CPU's 62nd percentile, this system is expected to deliver very high frame rates in most games at 1440p with ultra settings. The GPU's 56.28 TFLOPS FP32 and 960 GB/s bandwidth are sufficient to push well above 100 FPS in most AAA titles at that resolution. At 4K, the 16 GB VRAM and 293.1 GPixel/s pixel rate will sustain high frame rates, though the CPU's single-core performance may become a factor in CPU-heavy titles.

For esports titles like Counter-Strike or Valorant, the CPU's 4.60 GHz boost clock and single-core score of 3,214 in Cinebench R23 are strong, so frame rates in the hundreds are plausible. The GPU will not be the bottleneck in these lightweight titles; the CPU's per-thread performance is the limiting factor. Given the CPU's 62nd percentile, it is adequate for high-refresh esports but will not match a top-tier i9 or Ryzen 9.

For graphically intensive titles like Cyberpunk 2077 or Microsoft Flight Simulator, the RTX 5080's 84 RT cores will enable ray tracing at playable frame rates, with DLSS potentially boosting performance further via the 336 tensor cores. The 960 GB/s bandwidth ensures texture streaming is not a bottleneck. The CPU's multi-core score of 22,772 in Cinebench R23 is sufficient for these games' background simulation, but the GPU will dominate the performance profile.

These are estimates, not measurements. The absence of measured FPS data means that real-world performance could vary by 5-10% depending on driver optimization, game version, and system configuration. The benchmark scores are consistent with a high-end gaming system, but exact frame rates cannot be guaranteed.

# Who Should Build It — target users and industries tied strictly to the measured performance

This build is for users who prioritize GPU performance above all else. The RTX 5080's 87th percentile and 56.28 TFLOPS FP32 make it a strong choice for gamers at 1440p or 4K who want high settings and ray tracing enabled. The 16 GB VRAM is future-proof for the next few years of game releases. The CPU's 62nd percentile is adequate for these users, as most gaming workloads are GPU-bound.

Content creators — specifically video editors and 3D artists — will benefit from the combination of the CPU's 14 cores and the GPU's 84 RT cores. The CPU's multi-core score of 22,772 in Cinebench R23 accelerates rendering and encoding, while the GPU handles effects and GPU-accelerated renderers. The ECC memory support is an added benefit for those working on large projects where data integrity is paramount.

Software developers who work on multi-threaded applications or run local AI models will find the 14 cores and 20 threads useful, and the 336 tensor cores on the GPU allow for machine learning experimentation. The 65 W CPU TDP keeps the system power-efficient during long compile sessions, and the dual-channel memory support allows for flexible configurations.

Students in engineering or computer science programs might benefit from the CPU's multi-core performance for simulations and the GPU's compute capability for coursework, but the system is overkill for general academic use. The 62nd percentile CPU and 87th percentile GPU are far beyond what typical student workloads require.

Small business workstations that run GPU-accelerated applications — like CAD, video production, or data visualization — will see tangible benefits. The RTX 5080's 960 GB/s bandwidth and 16 GB VRAM handle large datasets, and the CPU's 20 threads manage concurrent tasks. The ECC support adds reliability for critical business data.

# FAQ — 5-7 Q&A pairs answerable from FACT PACK data

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

A: The combined percentile is 75, meaning this configuration outperforms 75% of all desktop builds in the database.

Q: How much VRAM does the RTX 5080 have, and what type is it?

A: The RTX 5080 has 16 GB of GDDR7 memory on a 256-bit bus, with a bandwidth of 960.0 GB/s.

Q: What is the CPU's boost clock and how many cores does it have?

A: The Intel Core i5-13500E has a boost clock of 4.60 GHz and 14 cores with 20 threads.

Q: Does the CPU support ECC memory?

A: Yes, the i5-13500E supports ECC memory, which is a feature typically found in workstation-oriented CPUs.

Q: What is the GPU's power draw and what PSU is recommended?

A: The RTX 5080 has a TDP of 360 W, and the suggested PSU is 750 W.

Q: How does the RTX 5080 compare to the AMD Radeon RX 9070 GRE?

A: The RTX 5080 is 2.2% ahead of the Radeon RX 9070 GRE in average benchmark score, based on the nearest rivals data.

Q: What is the CPU's multi-core score in Cinebench R23?

A: The i5-13500E scores 22,772 in Cinebench R23 multi-core, and 3,214 in single-core.

# Upgrade Path and Platform — socket, memory support, PCIe, PSU headroom from suggestedPsu/tdp, what a sensible next upgrade looks like

The platform is built around Intel Socket 1700, which supports the Core 13th Gen series. This socket is compatible with DDR4 and DDR5 memory, with a dual-channel bus. The CPU supports PCIe Gen 5 with 16 lanes from the CPU, which means the RTX 5080's PCIe 5.0 x16 interface is fully utilized without bandwidth constraints. The GPU also has DisplayPort 2.1b and HDMI 2.1b outputs, which are current standards.

The CPU's 65 W TDP is low, and the GPU's 360 W TDP is high, but the 750 W suggested PSU provides ample headroom. The combined draw of 425 W leaves over 300 W of headroom for other components like drives, fans, and peripherals, plus transient spikes from the GPU. This is a well-balanced power configuration.

A sensible next upgrade would be a higher-core-count CPU on the same socket, such as a Core i9 part from the 13th generation, which would raise the CPU's percentile from 62 and reduce the bottleneck in CPU-bound workloads. The RTX 5080 is already at the 87th percentile, so GPU upgrades would yield diminishing returns unless moving to a top-tier card. However, the GPU's near rivals are all within 2.3%, so the performance gap to the next tier is small.

Memory upgrades are straightforward: the dual-channel bus supports both DDR4 and DDR5, so users can choose based on availability and cost. The 24 MB L3 cache is shared across all cores, and adding more system memory does not affect that. For storage, the PCIe Gen 5 lanes from the CPU are available for the fastest NVMe drives, though the GPU occupies the primary x16 slot.

The 16-pin power connector on the GPU is a single connector, which is standard for this class. The dual-slot design and 304 mm length mean it fits in most mid-tower cases, but users should verify clearance. The 137 mm height and 40 mm width are also within typical case limits.

The platform is mature, meaning BIOS updates are unlikely to bring major changes. The 13th-gen socket is not forward-compatible with newer generations, so a platform upgrade would require a new motherboard. For users who want more CPU performance without changing the motherboard, upgrading to a 13th-gen i7 or i9 is the most cost-effective path. For those who want more GPU performance, the RTX 5080 is already near the top of the stack, so the next upgrade would be a 50-series successor, which is not yet available in the data.