SYSTEM ANALYZER

Rate My PC: Intel Core i5-13500E + NVIDIA RTX 4000 SFF Ada Generation

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

Build Configuration

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PROCESSOR (CPU)

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GRAPHICS CARD (GPU)

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88 Score

Top 12% Ranking

88 / 100

HIGH-END

Power Build

Top 12% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio

CPU Bottleneck

CPU

77%

GPU

99%

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

PROCESSOR

Intel Core i5-13500E

6,586 Benchmark Score

Top 23% Market Ranking

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GRAPHICS CARD

NVIDIA RTX 4000 SFF Ada Generation

117,088 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

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 Intel Core i5-13500E paired with the NVIDIA RTX 4000 SFF Ada Generation is an unusual desktop combination: a power-frugal 14-core Raptor Lake CPU sitting in the 62nd percentile of all tracked processors, matched to a compact single-slot-width workstation GPU that lands in the 95th percentile of all tracked graphics cards. The combined build percentile of 79 reflects an asymmetric pairing — a GPU that clearly outclasses its host CPU in raw throughput terms. No measured FPS data exists for this exact pairing in the database, so all frame-rate discussion below is estimated from the benchmark scores rather than drawn from game testing.

CPU Analysis

The Core i5-13500E is a 14-core, 20-thread Raptor Lake-S processor built on Intel's 10 nm process, with a 215 mm² die. Its hybrid topology is reflected in the thread count relative to core count, and its clock range spans from a 2.40 GHz base up to a 4.60 GHz boost. Cache provision consists of 80 KB of L1 per core, 1.25 MB of L2 per core, and a shared 24 MB L3 — a cache hierarchy that favors latency-sensitive workloads alongside multi-threaded throughput.

The benchmark picture is consistent across three Cinebench generations. In Cinebench R23 the chip scores 22772 multi-core and 3214 single-core; in R20 it posts 9564 and 1349 respectively; in R15 it records 2295 and 323. What those numbers mean in context is a mid-pack performer: the single-core results indicate snappy response in lightly threaded applications, while the multi-core results place the chip comfortably above entry-level parts but well below flagship HEDT silicon. The database's percentile ranking of 62 against all CPUs confirms this mid-tier position.

The nearest-rivals list sharpens that interpretation. The i5-13500E averages 6586 across its benchmark suite, sitting 0.3 percent ahead of the Intel Atom x7405C (6568), 0.3 percent behind the Intel Core i9-10940X and the Pentium Gold G6405 (both 6605), and 0.4 percent behind the Core i9-12900E (6611). The cluster is tight — every rival within half a percent — which tells you the averaged scores mask the split character of this chip: strong single-threaded results for its class, with multi-core output that holds its own against an older Core i9 while drawing far less power, as evidenced by its 65 W TDP. For real workloads, that translates into capable compilation, smooth content creation, and solid all-round desktop responsiveness, rather than elite rendering throughput.

Notably, the multiplier is locked, so headroom comes from stock behavior rather than tuning. ECC memory support is present, an unusual and relevant trait for a workstation-oriented build.

Upgrade Path and Platform

Platform-wise, the i5-13500E uses Intel Socket 1700, which gives the build a well-populated upgrade path within the same motherboard ecosystem. Memory support covers both DDR4 and DDR5 on a dual-channel bus — a practical detail, since it allows reuse of existing DDR4 kits or a move to DDR5 without changing platforms. The 65 W TDP keeps thermal demands modest; the suggested PSU figure attached to the GPU side of this build is 250 W, and since the RTX 4000 SFF Ada draws 70 W with no external power connectors, that recommendation leaves generous headroom for the whole system. A capable air cooler is sufficient; no extreme cooling is implied by any figure in the data.

PCIe is a strength: the CPU provides Gen 5 with 16 lanes from the CPU, while the GPU itself connects over PCIe 4.0 x16. The GPU occupies a dual-slot width despite its compact 168 mm length and 69 mm height — dimensions that make it a natural fit for small-form-factor chassis, which is precisely the design intent of the SFF variant.

A sensible next upgrade, given the CPU sits at the 62nd percentile and the GPU at the 95th, is a faster Socket 1700 processor: moving up the Raptor Lake stack would raise multi-core throughput for rendering and compilation without touching the platform. Alternatively, additional DDR5 capacity or faster memory would benefit bandwidth-hungry workloads. The successor listed for the GPU — Blackwell PRO W — marks the natural graphics upgrade direction when it arrives, though its scores are not in this dataset.

Gaming Performance

To be clear once: this database contains no measured FPS rows for the i5-13500E plus RTX 4000 SFF Ada combination, so everything in this section is estimated from the benchmark scores, not from direct game testing.

Working from the numbers available: the GPU's Geekbench OpenCL score of 124812 and Vulkan score of 109364 place it in the 95th percentile of all GPUs, ahead of the NVIDIA Tesla V100 SXM2 16 GB by 2.4 percent and the RTX A5500 Mobile by 2.8 percent on averaged scores. That level of compute throughput suggests high-refresh 1080p gaming and smooth 1440p play at high settings are realistic expectations, with 4K gaming plausible in less demanding titles or with settings reduced. The 20 GB of GDDR6 means texture-heavy modern games will not strain VRAM capacity at any resolution.

The CPU side is the caveat. A R23 multi-core score of 22772 and a 62nd percentile ranking are more than adequate for gaming — games rarely scale beyond a handful of threads — and the 3214 single-core score indicates strong per-thread performance. The estimated picture, then, is GPU-led gaming: the graphics card will be the primary determinant of frame rates at 1440p and above, while the CPU may become the limiter in high-refresh 1080p scenarios where the GPU has capacity to spare. These remain estimates until measured data is added.

Usage Scenarios

High-refresh gaming: With a 95th-percentile GPU estimated to drive frames well beyond 60 fps at 1080p and 1440p, and a CPU posting 3214 in R23 single-core, this pairing suits high-refresh play — with the caveat that at very high refresh rates the 62nd-percentile CPU is the more likely ceiling.

Streaming: Streaming adds encoding overhead to gaming. The 22772 R23 multi-core score leaves substantial thread headroom — 20 threads across 14 cores — to run a game and a stream simultaneously, and the GPU's 192 tensor cores and dedicated media hardware class make it well suited to the encode workload.

Video editing: The 20 GB of VRAM and 280.0 GB/s of memory bandwidth, combined with a mid-tier but capable 14-core CPU, indicate comfortable 1080p and 4K timeline work. GPU-accelerated effects will run well given the 124812 OpenCL score.

3D rendering: Viewport work will lean on the GPU's 48 RT cores and 6144 shading units, while final renders split between the CPU's 22772 R23 multi-core result and GPU compute. This is a professional-grade rendering position for the GPU, a mid-tier one for the CPU.

Software development: Compilation scales with cores and clocks. A 4.60 GHz boost, 14 cores, and ECC support make this a competent, error-checked development machine; the i9-12900E comparison shows it trading blows with significantly more expensive silicon.

Student and office work: Frankly overqualified in GPU terms — the 95th-percentile card exceeds anything office software demands — but the CPU's strong single-core scores mean instant application launches and flawless multitasking for documents, browsing, and conferencing.

GPU Analysis

The RTX 4000 SFF Ada Generation is a workstation card built on the AD104 chip, fabricated by TSMC on a 5 nm process. The die measures 294 mm² and packs 35,800 million transistors at a density of 121.8M per mm². Its compute resources include 6144 shading units, 192 TMUs, 64 ROPs, 48 RT cores, and 192 tensor cores, producing 19.17 TFLOPS of FP32 throughput — with FP16 running at the same rate on a 1:1 ratio.

Clocks run from a 720 MHz base to a 1560 MHz boost, with memory at 1750 MHz (14 Gbps effective). That memory subsystem — 20 GB of GDDR6 on a 160-bit bus — delivers 280.0 GB/s of bandwidth, and the card achieves a pixel rate of 99.84 GPixel/s and a texture rate of 299.5 GTexel/s. The 70 W TDP with no power connectors is the headline engineering feat: this is near-flagship-tier compute in a power envelope that draws everything from the PCIe slot.

For rendering, the benchmark scores say a great deal. The Geekbench OpenCL result of 124812 and Vulkan result of 109364 place the card 2.4 percent ahead of the Tesla V100 SXM2 16 GB and 2.8 percent ahead of the RTX A5500 Mobile, while sitting 1.6 percent behind the Radeon PRO W7700 and 0.3 percent behind NVIDIA's GB10. The 95th-percentile ranking means the card outperforms the overwhelming majority of GPUs in the database. For viewport rendering, ray tracing via the 48 RT cores, and AI-assisted workflows via 192 tensor cores, this is a genuinely capable professional part — the ray tracing and tensor hardware are exactly what modern render engines and AI tools exploit. API support spans DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, with four mini-DisplayPort 1.4a outputs for multi-monitor professional setups.

Who Should Build It

The natural audience for this pairing spans several groups. First, professional content creators working in small enclosures: the GPU's 168 mm length, 69 mm height, dual-slot width, and 70 W slot-powered draw make it one of the few 95th-percentile cards that fits genuinely compact chassis. Second, CAD and visualization users: the workstation-class drivers implied by the "Workstation Ada (x000A)" generation, plus ECC-capable memory support on the CPU side, target stability-critical professional environments. Third, developers and small-business workstation builders: the 20-thread CPU with ECC support and the 65 W TDP produce a quiet, reliable machine for compilation, data work, and multi-monitor productivity across four DisplayPorts. Fourth, gamers in compact builds who also create content — the estimated frame rates support high-refresh 1080p and strong 1440p play, while the 20 GB VRAM buffer exceeds what most consumer cards at similar throughput offer. Students in technical disciplines are well served but arguably over-served on the GPU side. Industries that fit: architecture, engineering, broadcast, machine-learning development at modest scale, and post-production.

Balance and Bottleneck

The percentile spread tells the story plainly: CPU at 62, GPU at 95, combined at 79. This is a GPU-forward build, and the bottlenecks fall accordingly.

In GPU-bound workloads — 1440p and 4K gaming, viewport rendering, GPU compute, ray-traced previews — the RTX 4000 SFF Ada carries the build, and the i5-13500E's job is simply to feed it. Its 3214 R23 single-core score is more than sufficient for that task. In CPU-bound workloads — multi-threaded software rendering, heavy compilation, CPU-based video encodes — the 22772 R23 multi-core result becomes the ceiling, and the GPU's 19.17 TFLOPS sit partially idle. The tight rival clustering around the CPU's 6586 average — all four nearest rivals within 0.4 percent — shows it operating in a dense mid-tier band, whereas the GPU sits isolated near the top of the distribution.

The practical implication: anyone adding this GPU to a workload that is CPU-limited should expect the processor to be the limiting component, and a Socket 1700 CPU upgrade would rebalance the system. Conversely, no realistic CPU upgrade would starve this GPU; its 280.0 GB/s bandwidth and 20 GB capacity give it room to scale.

FAQ

Q: How many cores and threads does the Core i5-13500E have?

A: 14 cores and 20 threads, built on the Raptor Lake architecture at a 10 nm process node.

Q: Does this build have measured game FPS data?

A: No. The database contains no measured FPS rows for this CPU and GPU combination, so all gaming frame-rate discussion is estimated from the Cinebench and Geekbench scores.

Q: Does the RTX 4000 SFF Ada require external power connectors?

A: No. It draws 70 W entirely through the PCIe slot, with no power connectors, and the suggested PSU for the build is 250 W.

Q: Can this system use ECC memory?

A: Yes — the Core i5-13500E supports ECC, and the board platform supports both DDR4 and DDR5 on a dual-channel bus.

Q: How does the CPU compare to its nearest rivals?

A: Its 6586 average score puts it 0.3 percent ahead of the Atom x7405C, 0.3 percent behind the Core i9-10940X and Pentium Gold G6405, and 0.4 percent behind the Core i9-12900E.

Q: How does the GPU compare to the Radeon PRO W7700?

A: The RTX 4000 SFF Ada averages 117088 versus 118976 for the Radeon PRO W7700 — 1.6 percent behind — but 2.4 percent ahead of the Tesla V100 SXM2 16 GB.

Q: Is the CPU multiplier unlocked for overclocking?

A: No. The multiplier is locked, so performance comes from stock operation.

Benchmark Performance

Exact scores, for the record:

| Test | Score |

|---|---|

| Cinebench R15 Multi-Core | 2295 |

| Cinebench R15 Single-Core | 323 |

| Cinebench R20 Multi-Core | 9564 |

| Cinebench R20 Single-Core | 1349 |

| Cinebench R23 Multi-Core | 22772 |

| Cinebench R23 Single-Core | 3214 |

| Geekbench OpenCL (GPU) | 124812 |

| Geekbench Vulkan (GPU) | 109364 |

The CPU holds the 62nd percentile against all tracked processors with an average score of 6586. The GPU holds the 95th percentile with an average of 117088. The combined percentile is 79.

The combined picture is one of skewed capability. The GPU contributes workstation-class compute — outperforming 95 percent of the GPU population — while the CPU contributes dependable mid-tier throughput. Benchmark results indicate a machine that excels wherever the graphics card leads and remains competent wherever the processor must. For buyers reading the percentiles as a single number, the 79th-percentile combined rank is honest but understates the GPU; it is the stronger of the two components by a wide margin, and the build's identity follows from that.

Build Overview

This is a desktop-class build, pairing Intel's 13th-Generation Raptor Lake i5-13500E with NVIDIA's Ada Lovelace-based RTX 4000 SFF Ada Generation workstation card. Both components are active-production parts released in early 2023 — the CPU on the third of January, the GPU on the twentieth of March.

Its tier, per the percentile data, is upper-mid overall: a 62nd-percentile CPU, a 95th-percentile GPU, and a 79th-percentile combined rank. The character of the machine is a compact professional workstation — slot-powered graphics, modest 65 W processor TDP, ECC-capable memory, four DisplayPort outputs, and a suggested 250 W PSU that implies quiet, efficient operation. The GPU's lineage runs from Workstation Ampere before it toward Blackwell PRO W after it, and the CPU's Socket 1700 platform keeps a straightforward upgrade path open. As a whole, the data describes a well-balanced small-form-factor professional system with a clear, quantifiable path to a stronger processor if CPU-bound workloads ever demand it.

Rate My PC: Intel Core i5-13500E + NVIDIA RTX 4000 SFF Ada Generation

Power Build

System Balance Analysis

Intel Core i5-13500E

NVIDIA RTX 4000 SFF Ada Generation

Market Position

Game Performance Benchmarks

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

Performance Insights

Strong Performance

Bottleneck Detected

Performance Tiers Explained

Ultimate

High-End

Mid-Range

Entry Level

Legacy

CPU Analysis

Upgrade Path and Platform

Gaming Performance

Usage Scenarios

GPU Analysis

Who Should Build It

Balance and Bottleneck

FAQ

Benchmark Performance

Build Overview

4K Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1440p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

1080p Gaming Performance

Cyberpunk 2077

Red Dead Redemption 2

Microsoft Flight Simulator

Control

Call of Duty: Warzone

Fortnite

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