SYSTEM ANALYZER

Rate My PC: Intel Core i7-13700KF + NVIDIA RTX 4000 SFF Ada Generation

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
94%
VS
GPU
99%
PROCESSOR

Intel Core i7-13700KF

47,330 Benchmark Score
Top 6% Market Ranking
View Full Specs →
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
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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

Balance and Bottleneck

The Intel Core i7-13700KF and NVIDIA RTX 4000 SFF Ada Generation pairing presents a distinct workload balance, with the CPU and GPU each dominating different performance arenas. The CPU's benchmark profile shows a strong scaling curve from 2 threads (2263 in 3dMark_2_threads) to 16 threads (10749 in 3dMark_16_threads), reaching 12462 at max threads. This scaling indicates robust multi-threaded capability, but the single-thread score of 1137 in 3dMark_single_thread and 4336 in Passmark_single_thread reveals that lightly-threaded tasks are not where this processor excels relative to its own multi-core potential.

The GPU, conversely, sits at the 95th percentile among all GPUs, with an average benchmark score of 117088. In the Geekbench OpenCL test it scores 124812, and in Vulkan it reaches 109364. These figures place it in the top tier of workstation-class graphics hardware. The bottleneck analysis depends heavily on the workload type: CPU-bound scenarios like data compression (Passmark score of 596493) and integer math (154507) will be limited by the i7-13700KF's architecture, while GPU-bound tasks like rendering and compute will be constrained by the RTX 4000 SFF Ada's throughput.

The combined percentile of 92 for this pairing suggests neither component consistently throttles the other in mixed workloads. The CPU's 89th percentile ranking versus all CPUs and the GPU's 95th percentile ranking create a slight GPU-led balance, meaning the graphics card has marginally more headroom than the processor. In gaming scenarios, this manifests as the CPU becoming the limiting factor at lower resolutions where frame rates are higher, while at 4K the GPU's workload increases and becomes the primary constraint. The absence of measured FPS data means these bottleneck characteristics must be inferred from the raw benchmark scores rather than direct frame-time analysis.

Usage Scenarios

High-refresh gaming: At 1080p and 1440p, the CPU's single-thread performance (5464 in Cinebench R23 single-core, 2435 in Geekbench single-core) provides ample instruction throughput for high frame rates, though the GPU's 19.17 TFLOPS FP32 throughput and 280.0 GB/s memory bandwidth will govern pixel-pushing. The pairing should sustain competitive frame rates in esports titles, but the RTX 4000 SFF Ada's workstation orientation suggests it prioritizes precision over raw frame generation.

Streaming: The 16-core/24-thread configuration with 30 MB of shared L3 cache offers substantial parallel headroom for simultaneous encoding and gaming workloads. The CPU's Passmark multithread score of 45817 indicates it can handle encode pipelines without starving the game thread, though dedicated NVENC hardware on the GPU would offload this more efficiently.

Video editing: Timeline scrubbing and preview rendering benefit from both the CPU's multi-core muscle (38704 in Cinebench R23 multi-core) and the GPU's compute capabilities. The 20 GB GDDR6 VRAM with 280.0 GB/s bandwidth provides ample storage for high-resolution frame buffers and effect stacks. The GPU's 12 Ultimate DirectX support and OpenGL 4.6 compatibility align with professional NLE requirements.

3D rendering: This is where the pairing shines. The GPU's 48 RT cores and 192 tensor cores accelerate ray-traced and AI-denoised workflows, while the CPU's 16 cores handle scene preparation and physics simulation. The Geekbench OpenCL score of 124812 places rendering performance in the top 5% of all GPUs, making this a formidable workstation render node.

Software development: Compilation and testing pipelines exploit the CPU's multi-threaded throughput (16255 in Cinebench R20 multi-core, 18258 in Geekbench multi-core). The GPU's compute capabilities accelerate machine learning inference and data visualization tasks common in modern development environments.

Student and office work: The processor's single-thread performance (4336 in Passmark single-thread) handles everyday productivity applications with ease, while the GPU's 70 W TDP keeps power consumption modest for a workstation-class component. The 16 cores provide headroom for virtual machines and containerized development environments.

CPU Analysis

The Intel Core i7-13700KF is built on the Raptor Lake architecture, fabricated on Intel's 10 nm process node with a die size of 257 mm². It features 16 cores and 24 threads, with a base clock of 3.40 GHz and a boost clock of 5.40 GHz. The cache hierarchy consists of 80 KB of L1 per core, 2 MB of L2 per core, and 30 MB of shared L3 cache. Memory support includes both DDR4 and DDR5 in dual-channel configuration, with ECC memory support enabled. The CPU connects via Intel Socket 1700 and provides PCIe Gen 5 with 20 lanes from the CPU.

The benchmark data reveals a processor with substantial multi-threaded capability. The Cinebench R23 multi-core score of 38704 places it in the 89th percentile among all CPUs, while the single-core score of 5464 demonstrates solid per-thread performance. The scaling from 2 threads (2263 in 3dmark_2_threads) to 8 threads (8230 in 3dmark_8_threads) is nearly linear, indicating efficient thread management. The 3dmark_max_threads score of 12462 shows that additional threads beyond 16 provide diminishing returns, a characteristic of the hybrid architecture.

Passmark results further illuminate the workload profile. Integer math achieves 154507, floating-point math 114997, and extended instructions 36700. Data encryption scores 33314 and data compression 596493. The prime number finding score of 186 is notably low, suggesting this workload is not well-optimized for the architecture. Random string sorting at 62726 and physics at 2650 round out the compute picture. The average benchmark score of 47330 with a 0.3% delta from the Intel Core i9-12900F and -0.3% from the Intel Core Ultra X9 378H indicates this CPU sits at a competitive equilibrium with its closest rivals.

The unlocked multiplier allows overclocking headroom, though the 125 W TDP suggests thermal constraints will govern sustained boost behavior. The release date of September 2022 and active production status confirm this is a mature, widely available platform component.

Who Should Build It

This pairing targets professionals and prosumers who need balanced CPU and GPU compute without the power envelope of flagship components. The CPU's 89th percentile ranking makes it suitable for developers compiling large codebases, analysts processing data-heavy workloads, and researchers running simulation software. The GPU's 95th percentile ranking extends this to 3D artists, video editors, and machine learning practitioners who require workstation-grade graphics acceleration.

Gamers at 1440p and 4K resolutions will find the RTX 4000 SFF Ada's 20 GB VRAM and 280.0 GB/s bandwidth sufficient for modern titles at high settings, though the workstation driver optimization means gaming performance may lag equivalent GeForce cards. Content creators working with 4K and 8K footage will benefit from the 48 RT cores for accelerated rendering and the 192 tensor cores for AI-assisted editing tools.

Small business workstations and engineering workstations represent the core market. The SFF form factor (168 mm length, 69 mm height, dual-slot width) fits compact chassis, and the 70 W TDP with no power connectors simplifies integration into pre-existing systems with a 250 W suggested PSU. Students in engineering or design programs will find the compute headroom sufficient for academic workloads. The CPU's ECC memory support is notable for data integrity in financial or scientific computing environments.

Gaming Performance

No measured FPS rows exist for this exact CPU+GPU combination in the FACT PACK. The data package contains no measuredFpsUltraByGame entries, and dataIsMeasured is false. Consequently, all gaming performance figures presented here are estimates derived from the benchmark scores rather than direct measurements.

The GPU's Geekbench Vulkan score of 109364 and OpenCL score of 124812 suggest strong graphics throughput. The 19.17 TFLOPS FP32 compute and 99.84 GPixel/s pixel rate indicate capability for high-resolution rendering. The 20 GB GDDR6 memory with 280.0 GB/s bandwidth provides ample texture and geometry storage for modern game assets. The RTX 4000 SFF Ada's 48 RT cores will accelerate ray-traced effects, though the 70 W TDP limits sustained boost clocks to 1560 MHz.

The CPU's single-thread score of 5464 in Cinebench R23 and 2435 in Geekbench single-core indicate adequate per-core performance for game logic and physics. The 16 cores provide headroom for background tasks and streaming overlays. At 1080p, the CPU is likely the limiting factor for frame rates above the 144 Hz range. At 1440p and 4K, the GPU's workload increases and becomes the primary determinant of frame rates. Esports titles at competitive settings should achieve high frame rates, while AAA titles at ultra settings will likely target 60 FPS at 1440p and 30-60 FPS at 4K depending on optimization.

Upgrade Path and Platform

The Intel Core i7-13700KF uses the LGA 1700 socket, which supports both DDR4 and DDR5 memory in dual-channel configuration. The platform provides PCIe Gen 5 with 20 lanes from the CPU, while the GPU connects via PCIe 4.0 x16. This combination means the GPU has sufficient bandwidth for current workloads, and the CPU's PCIe Gen 5 lanes allow for future high-bandwidth storage devices.

The GPU's 70 W TDP and 250 W suggested PSU provide considerable headroom for system upgrades. The CPU's 125 W TDP combined with the GPU's 70 W TDP leaves room for additional peripherals and storage without requiring a PSU upgrade. The RTX 4000 SFF Ada's lack of power connectors simplifies installation and cable management, though this also means the card is limited to its 70 W power budget.

A sensible next upgrade path would be increasing memory capacity or speed, since the dual-channel DDR4/DDR5 support allows for flexible memory configurations. The CPU's unlocked multiplier permits overclocking to extend its lifespan. On the GPU side, the workstation-class driver support means this card is designed for longevity in professional applications. The PCIe 4.0 x16 interface remains current, so a future GPU upgrade would not be bandwidth-limited.

Benchmark Performance

The Intel Core i7-13700KF achieves an average benchmark score of 47330, placing it in the 89th percentile among all CPUs. Its nearest rivals are tightly clustered: the Intel Core Ultra X9 378H scores 47468 (0.3% higher), the Intel Core i9-12900F scores 47176 (0.3% lower), the AMD Ryzen 9 PRO 5945 scores 47527 (0.4% higher), and the AMD Ryzen AI 9 HX PRO 375 scores 47022 (0.7% lower). This clustering indicates the i7-13700KF sits at a performance equilibrium with these competing processors, with no significant advantage or deficit.

The NVIDIA RTX 4000 SFF Ada Generation achieves an average benchmark score of 117088, placing it in the 95th percentile among all GPUs. Its nearest rivals include the NVIDIA GB10 (117393, 0.3% higher), AMD Radeon PRO W7700 (118976, 1.6% higher), NVIDIA Tesla V100 SXM2 16 GB (114395, 2.4% lower), and NVIDIA RTX A5500 Mobile (113944, 2.8% lower). The GPU's performance advantage over its lower-ranked rivals is more pronounced than the CPU's, suggesting the graphics card is the stronger component in this pairing.

The combined percentile of 92 reflects the synergy between the CPU's 89th percentile and GPU's 95th percentile. The pairRankByFps is null, indicating no measured frame rate data exists to rank this combination against others. The combined picture shows a workstation-focused pairing where the GPU leads in relative performance, with the CPU providing solid but not exceptional compute capability.

FAQ

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

A: The combined percentile is 92, reflecting the CPU's 89th percentile and GPU's 95th percentile rankings.

Q: Does this system support ECC memory?

A: Yes, the CPU supports ECC memory. The memory support includes both DDR4 and DDR5 in dual-channel configuration.

Q: What is the GPU's memory bandwidth and capacity?

A: The GPU has 20 GB of GDDR6 memory on a 160-bit bus, providing 280.0 GB/s of bandwidth.

Q: How many RT cores and tensor cores does the GPU have?

A: The RTX 4000 SFF Ada Generation has 48 RT cores and 192 tensor cores.

Q: What is the CPU's boost clock and TDP?

A: The CPU has a boost clock of 5.40 GHz and a TDP of 125 W.

Q: Is this a desktop or laptop build?

A: This is a desktop build, with the build class specified as "desktop".

Q: What is the suggested PSU wattage for this GPU?

A: The suggested PSU is 250 W, and the GPU has a TDP of 70 W with no power connectors required.

GPU Analysis

The NVIDIA RTX 4000 SFF Ada Generation is built on the Ada Lovelace architecture using TSMC's 5 nm process node. The AD104 chip contains 35,800 million transistors on a 294 mm² die, with a transistor density of 121.8 million per mm². The GPU features 6144 shading units, 192 texture mapping units, and 64 render output units. Clocks are set at 720 MHz base and 1560 MHz boost, with memory clocked at 1750 MHz (14 Gbps effective).

The 20 GB of GDDR6 memory on a 160-bit bus provides 280.0 GB/s of bandwidth. This configuration yields a pixel rate of 99.84 GPixel/s and a texture rate of 299.5 GTexel/s. The FP32 compute throughput is 19.17 TFLOPS, with FP16 matching at 19.17 TFLOPS (1:1 ratio). The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The benchmark scores demonstrate workstation-class compute capability. The Geekbench OpenCL score of 124812 and Vulkan score of 109364 place this GPU in the 95th percentile among all GPUs. The 48 RT cores accelerate ray-traced rendering workloads, while the 192 tensor cores provide AI acceleration for denoising, upscaling, and machine learning inference. The 70 W TDP with no power connectors makes this an efficient workstation card suitable for SFF builds, with a suggested PSU of 250 W.

The GPU's nearest rivals show competitive positioning. The AMD Radeon PRO W7700 scores 1.6% higher, while the NVIDIA Tesla V100 SXM2 16 GB scores 2.4% lower and the NVIDIA RTX A5500 Mobile scores 2.8% lower. This places the RTX 4000 SFF Ada in the upper tier of workstation GPUs, with performance comparable to larger, higher-power alternatives.

Build Overview

This build pairs the Intel Core i7-13700KF, a 16-core/24-thread desktop processor from the Raptor Lake generation, with the NVIDIA RTX 4000 SFF Ada Generation, a workstation-class GPU based on Ada Lovelace architecture. The CPU, released in September 2022, operates at a 125 W TDP with a boost clock of 5.40 GHz. The GPU, released in March 2023, operates at a 70 W TDP with a boost clock of 1560 MHz and 20 GB of GDDR6 memory.

The combined system achieves a 92nd percentile ranking among all CPU+GPU pairings, indicating it outperforms the majority of configurations in the benchmark database. The CPU's 89th percentile and GPU's 95th percentile create a GPU-led balance, where the graphics card provides the stronger relative performance. This is a desktop-class build designed for professional workstation workloads, with the SFF GPU form factor enabling compact system configurations.

The pairRankByFps is null, and no measured FPS data exists for this specific combination, meaning gaming performance must be estimated from benchmark scores rather than direct measurements. The overall tier is high-end workstation, with the GPU's 95th percentile placing it among the top 5% of graphics cards and the CPU's 89th percentile placing it among the top 11% of processors. This pairing is suited for professionals requiring balanced CPU and GPU compute in a compact, power-efficient desktop configuration.