SYSTEM ANALYZER

Rate My PC: Intel Core i5-13490F + NVIDIA RTX 4000 Ada Generation

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

93 / 100
ULTIMATE READY

Apex Performer

Top 7% 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
88%
VS
GPU
99%
PROCESSOR

Intel Core i5-13490F

28,185 Benchmark Score
Top 12% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 4000 Ada Generation

135,218 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

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 Intel Core i5-13490F and NVIDIA RTX 4000 Ada Generation pairing is a desktop configuration that combines a high-core-count mainstream processor with a workstation-tier graphics card. The data shows this combination sits at the 88th percentile overall, with the CPU ranking in the 80th percentile and the GPU in the 95th percentile. This is a system built for parallel workloads and professional rendering, where the GPU’s 20 GB of VRAM and the CPU’s 16 threads provide substantial compute headroom. No measured FPS rows exist for this exact combination; all gaming frame rates discussed here are estimates derived from the benchmark scores and should be treated as projections rather than verified results.

Usage Scenarios

High-refresh gaming: The GPU’s Geekbench scores (146593 OpenCL, 123842 Vulkan) indicate strong raw compute, but the workstation-focused design and the absence of measured game data make high-refresh 1080p or 1440p gaming a secondary consideration. The CPU’s single-thread score of 3211 in Cinebench R23 and 3828 in PassMark suggests it can feed frames adequately, yet the RTX 4000 Ada’s driver and memory configuration prioritize precision over rasterization speed. Expect playable frame rates at 1440p, but the system is better suited to high-detail scenarios than to chasing maximum refresh rates.

Streaming: The CPU’s 10 cores and 16 threads provide ample headroom for encoding while gaming, with a PassMark multithread score of 26569 indicating strong parallel throughput. The GPU’s 192 tensor cores and Ada Lovelace architecture include dedicated video encoding hardware, though the data does not specify encoder capabilities. The combination of a 65 W TDP CPU and 130 W GPU keeps thermal load manageable, which supports sustained streaming sessions without excessive system strain.

Video editing: The GPU’s 20 GB GDDR6 memory with 360.0 GB/s bandwidth is a standout feature for timeline scrubbing and effect rendering, placing it well above typical consumer cards. The CPU’s Cinebench R23 multicore score of 22747 and PassMark data compression score of 328397 indicate fast project loading and export encoding. The 80th CPU percentile and 95th GPU percentile suggest the GPU will handle most heavy lifting in effects-heavy workflows, while the CPU manages source decoding and asset management.

3D rendering: This is the system’s primary strength. The GPU’s 26.73 TFLOPS FP32 performance and 48 RT cores provide substantial ray-tracing and rasterization throughput, while the CPU’s 24 MB L3 cache and 16 threads handle scene preparation and physics simulation. The GPU’s percentile ranking of 95 means it outperforms 95% of all GPUs in the database, and its OpenCL score of 146593 is nearly identical to the NVIDIA A10M (deltaPct 0), confirming its workstation-class rendering capability. The CPU’s PassMark physics score of 1915 is modest, so complex physics simulations may lag behind GPU rendering speeds.

Software development: The CPU’s 10 cores and 16 threads excel at parallel compilation, with a 3DMark 16-thread score of 7556 and max-thread score of 7550 indicating consistent scaling. The PassMark integer math score of 83723 and extended instructions score of 20837 support heavy code compilation and cryptographic workloads. The GPU’s 20 GB VRAM is overkill for most development tasks but provides headroom for local machine learning model training, where the 192 tensor cores would be engaged.

Student and office work: This configuration is overbuilt for typical productivity tasks, but the CPU’s single-thread performance (1002 in 3DMark single-thread, 1348 in Cinebench R20 single-core) ensures responsive application usage. The 65 W TDP CPU keeps electricity costs low, and the GPU’s single-slot design with 4x DisplayPort 1.4a outputs supports multi-monitor setups for research and data analysis. The PassMark data encryption score of 17902 provides secure file handling, though the system’s power and cost exceed what basic office work requires.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture with a 5 nm TSMC process. It packs 6144 shading units, 192 texture mapping units, and 64 raster output units, driving a pixel rate of 139.2 GPixel/s and a texture rate of 417.6 GTexel/s. The memory subsystem is distinctive: 20 GB of GDDR6 on a 160-bit bus delivers 360.0 GB/s bandwidth, which is the key differentiator for large dataset handling in rendering and AI workloads. The 48 RT cores and 192 tensor cores place it firmly in the professional accelerator category, with 26.73 TFLOPS FP32 and matching FP16 performance (1:1 ratio) enabling rapid mixed-precision compute.

The benchmark data confirms its high-end positioning. The GPU scores 146593 in Geekbench OpenCL and 123842 in Vulkan, averaging 135218, which places it in the 95th percentile of all GPUs. Its nearest rivals are remarkably close: the NVIDIA A10M scores 135230 (deltaPct 0), the AMD Radeon PRO W6800 scores 135396 (deltaPct -0.1), and the AMD Radeon Pro W6800X Duo scores 135774 (deltaPct -0.4). This tight clustering shows the RTX 4000 Ada is at the leading edge of workstation performance, but not ahead of its peers—it trades blows within a 1% margin. For rendering, the 20 GB VRAM is the standout spec, as it allows loading larger scenes and higher-resolution textures than the 16 GB cards typical of this class, directly impacting the benchmark scores’ relevance to real workloads.

Balance and Bottleneck

The data reveals a system where the GPU is the clear performance leader, with a 95th percentile ranking versus the CPU’s 80th percentile. This imbalance means the GPU will be the limiting factor in CPU-bound tasks like single-threaded office work or light gaming, but the CPU will bottleneck the GPU in heavily threaded compute scenarios. The CPU’s 3DMark 8-thread score of 5731 versus its 16-thread score of 7556 shows only modest scaling beyond 8 threads, suggesting that the 10-core design (with 16 threads) has diminishing returns for some workloads.

In GPU-accelerated rendering, the CPU’s Cinebench R23 multicore score of 22747 is sufficient to feed the GPU’s compute units, but the PassMark physics score of 1915 indicates the CPU may struggle with real-time physics simulation in interactive rendering environments. The 3DMark 2-thread score of 1959 and 4-thread score of 3552 show strong single-core headroom, which helps avoid bottlenecks in lightly threaded game engines. However, the GPU’s 95th percentile suggests that for any workload that scales across GPU cores—rendering, AI inference, video encoding—the RTX 4000 Ada will dominate the performance conversation, and the CPU’s role becomes secondary. The combined 88th percentile ranking reflects this: the system is greater than the sum of its parts in GPU-heavy tasks, but the CPU’s lower percentile caps overall system potential in mixed workloads.

Who Should Build It

This configuration targets professionals and prosumers who need workstation-grade GPU compute without sacrificing CPU responsiveness. The primary audience is 3D artists and animators working with scenes that exceed 16 GB of VRAM, as the 20 GB frame buffer on the RTX 4000 Ada allows for larger texture sets and higher-resolution viewports than consumer cards. The 95th GPU percentile means these users will be in the top 5% of hardware capability for rendering tasks.

Content creators editing high-resolution video (4K and above) will benefit from the GPU’s 360.0 GB/s bandwidth and the CPU’s 16 threads for export encoding. The system is also suited to machine learning researchers who need local inference and training capability, given the 192 tensor cores and 26.73 TFLOPS FP16 performance. Software developers working on large codebases will appreciate the CPU’s 10 cores for parallel builds, while the GPU remains available for code acceleration. Students in engineering or design programs will find the system overqualified but future-proof, though the lack of integrated graphics on the CPU means the GPU must always be present. Small business workstations handling CAD, simulation, or data analysis will find the reliability of workstation-grade components (single-slot GPU, 65 W CPU) appealing, but the cost of this GPU class exceeds typical office needs.

Benchmark Performance

The CPU’s average benchmark score is 28185, placing it in the 80th percentile of all CPUs. Its nearest rival is the AMD Ryzen AI 5 435 with a score of 28128 (deltaPct 0.2), and it sits just ahead of the Intel Core i5-14500T at 28065 (deltaPct 0.4) and the AMD Ryzen 5 PRO 8500GE at 28054 (deltaPct 0.5). The only rival that beats it is the Intel Core i9-11950H at 28332 (deltaPct -0.5), which is a mobile part despite its higher score. This places the i5-13490F in a tight performance band where 0.5% separates it from four competitors, indicating that its 10-core, 16-thread configuration is well-optimized for its class.

The GPU’s average benchmark score is 135218, placing it in the 95th percentile. Its closest rivals are the NVIDIA A10M at 135230 (deltaPct 0), the AMD Radeon PRO W6800 at 135396 (deltaPct -0.1), the AMD Radeon Pro W6800X Duo at 135774 (deltaPct -0.4), and the AMD Radeon PRO V620 at 136472 (deltaPct -0.9). The GPU is effectively tied with the A10M and slightly behind the AMD workstation cards, but all within 1% of each other. The combined system percentile is 88, reflecting the CPU’s lower ranking pulling down the GPU’s higher ranking. In practical terms, this means the system outperforms 88% of all desktop configurations in the database, with the GPU providing the majority of that performance advantage.

Gaming Performance

No measured FPS data exists for this exact combination, so all gaming frame rates are estimates based on the benchmark scores. The CPU’s single-thread performance (3211 in Cinebench R23, 3828 in PassMark) is adequate for modern game engines, while the GPU’s 95th percentile suggests it can handle demanding titles. However, the RTX 4000 Ada’s workstation drivers and memory configuration are not optimized for gaming. Expect playable frame rates at 1440p with high settings, but the system will not match the performance of a consumer GeForce card with similar compute power.

At 1080p, the CPU’s 3DMark 4-thread score of 3552 and 2-thread score of 1959 indicate strong single-core headroom, which is critical for high-refresh gaming. The GPU’s 139.2 GPixel/s pixel rate can push high frame rates at this resolution, but the 160-bit memory bus (360.0 GB/s) may limit texture streaming in open-world games. At 1440p, the balance shifts toward the GPU, and the 20 GB VRAM provides ample space for high-resolution textures. At 4K, the GPU’s 26.73 TFLOPS is sufficient for moderate settings, but the workstation focus means driver optimizations for gaming are lacking. The GPU’s Vulkan score of 123842 suggests good API-level performance, which benefits modern game engines, but the absence of measured FPS data means these are speculative figures.

CPU Analysis

The Intel Core i5-13490F is a Raptor Lake-S desktop processor built on Intel’s 10 nm process with a die size of 215 mm². It has 10 cores and 16 threads, with a base clock of 2.50 GHz and a boost clock of 4.80 GHz, all within a 65 W TDP. The cache hierarchy includes 80 KB L1 per core, 1.25 MB L2 per core, and 24 MB shared L3 cache. The CPU supports DDR4 and DDR5 memory in dual-channel configuration, but lacks ECC support and integrated graphics, requiring a discrete GPU. It uses the Intel Socket 1700 platform with PCIe Gen 5 support (16 lanes from the CPU).

The benchmark scores reveal a processor that excels in multithreaded tasks but is not a single-thread leader. The Cinebench R23 multicore score of 22747 is strong for a 65 W part, and the PassMark multithread score of 26569 confirms this. The 3DMark 16-thread score of 7556 and max-thread score of 7550 are nearly identical, indicating that the 10-core design scales efficiently to 16 threads. However, the single-thread scores (1002 in 3DMark, 323 in Cinebench R15, 1348 in Cinebench R20, 3211 in Cinebench R23) are mid-pack for modern CPUs. The PassMark data compression score of 328397 is exceptional and suggests the L3 cache and memory subsystem handle data-heavy workloads well. The processor’s 80th percentile ranking places it solidly in the upper tier of desktop CPUs, but the tight clustering of its nearest rivals shows that performance is competitive rather than dominant.

Upgrade Path and Platform

The Intel Core i5-13490F uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory. The dual-channel memory controller means users can choose either memory type, but the platform’s PCIe Gen 5 support (16 lanes from the CPU) provides future-proofing for high-speed storage and next-generation GPUs. The CPU is not multiplier-unlocked, so overclocking is limited, but the 65 W TDP leaves thermal headroom for sustained operation.

The NVIDIA RTX 4000 Ada Generation uses a PCIe 4.0 x16 interface, which is fully compatible with the CPU’s PCIe Gen 5 slots (backward compatible). The GPU has a 130 W TDP and requires a 300 W suggested PSU, which is modest for a workstation card. The single-slot design and 245 mm length (9.6 inches) mean it fits in most cases, and the 1x 16-pin power connector is standard for modern PSUs. The GPU’s 4x DisplayPort 1.4a outputs support multi-monitor workstation setups.

A sensible next upgrade would be a higher-core-count Socket 1700 CPU, such as a Core i9 variant, which would improve the CPU’s 80th percentile ranking and reduce the bottleneck in CPU-bound tasks. The GPU’s 95th percentile leaves little room for improvement without moving to a completely different class of hardware. The platform’s DDR5 support allows for memory bandwidth upgrades, which would benefit the CPU’s PassMark data compression score. The PCIe Gen 5 CPU lanes also permit faster NVMe storage, which would improve the system’s overall responsiveness.

FAQ

Q: Does the Intel Core i5-13490F have integrated graphics?

A: No, the CPU has no integrated graphics (the FACT PACK lists integratedGraphics as null), so a discrete GPU like the RTX 4000 Ada is mandatory for display output.

Q: What is the GPU’s memory capacity and type?

A: The NVIDIA RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, providing 360.0 GB/s of memory bandwidth.

Q: How does the CPU compare to its closest rival, the AMD Ryzen AI 5 435?

A: The i5-13490F scores 28185 on average, which is 0.2% higher than the AMD Ryzen AI 5 435’s score of 28128, making them statistically equivalent.

Q: What power supply is recommended for this GPU?

A: The suggested PSU for the RTX 4000 Ada Generation is 300 W, and the GPU has a 130 W TDP with a single 16-pin power connector.

Q: Can this system handle 4K gaming?

A: The GPU’s 26.73 TFLOPS and 20 GB VRAM are sufficient for 4K at moderate settings, but no measured FPS data exists for this combination, so frame rates are estimates and the workstation focus may limit gaming optimization.

Q: What is the CPU’s socket and memory support?

A: The i5-13490F uses the Intel Socket 1700 and supports both DDR4 and DDR5 memory in dual-channel configuration, but does not support ECC memory.

Q: What is the release date of the CPU and GPU?

A: The Intel Core i5-13490F was released on 2023-02-09, and the NVIDIA RTX 4000 Ada Generation was released on 2023-08-08.