SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900F + NVIDIA RTX 4000 SFF Ada Generation

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

97 / 100
ULTIMATE READY

Apex Performer

Top 3% 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
95%
VS
GPU
99%
PROCESSOR

Intel Core i9-14900F

60,008 Benchmark Score
Top 5% 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

The Intel Core i9-14900F paired with the NVIDIA RTX 4000 SFF Ada Generation is an unusual desktop combination: a flagship-tier mainstream processor matched with a compact professional workstation GPU. The combined profile lands in the 94th percentile of tracked builds, with the CPU sitting at the 92nd percentile against all CPUs and the GPU at the 95th percentile against all GPUs. This is a build defined by breadth — high-core-count CPU throughput paired with compute-oriented graphics hardware — rather than by pure gaming throughput. Notably, no measured FPS data exists for this exact combination in the database, so all frame-rate discussion below is estimated from the benchmark scores rather than drawn from measured gameplay runs.

CPU Analysis

The Core i9-14900F is a 24-core, 32-thread desktop processor built on Intel's Raptor Lake-R refresh of the Raptor Lake architecture, manufactured on Intel's 10 nm process. The die measures 257 mm². It runs a 2.00 GHz base clock with boosts up to 5.80 GHz — a spread that reflects the hybrid top-end design, where lightly threaded workloads ride the high boost ceiling while all-core loads settle near base. Cache allocation is generous: 80 KB of L1 and 2 MB of L2 per core, with 36 MB of shared L3.

The benchmark data shows exactly the dual character you'd expect from this configuration. Single-core results are excellent: 562 in Cinebench R15, 2344 in R20, 5583 in R23, 2570 in Geekbench single-core, and 4506 in PassMark single-thread. Multi-core results scale hard across the full thread count: 3986 in R15, 16611 in R20, 39551 in R23, 20008 in Geekbench multi-core, and 46532 in PassMark multithread. The R23 spread — 5583 single-core against 39551 multi-core — means the chip delivers roughly seven times its single-thread result when a workload saturates all 32 threads. That is the signature of a processor that handles both latency-sensitive tasks (compiling a single file, application UI, older game engines) and heavily parallel batch work (rendering, encoding, code compilation across a large repository).

The PassMark subtests add useful texture. Integer math lands at 177066, floating point at 119550, data compression at 564207, encryption at 34644, extended instructions at 31084, string sorting at 63728, physics at 2899, and prime number finding at 209. The compression result in particular indicates strong memory subsystem behavior for archive and backup workloads. The chip averages 60008 across the benchmark suite, placing it in the 92nd percentile of all CPUs — genuinely high-end territory.

Against its nearest rivals, the i9-14900F sits in a statistical dead heat. The AMD Ryzen 9 7945HX averages 60099, just 0.2 percent ahead; the AMD Ryzen 7 8745HX averages 60104, also 0.2 percent ahead; the AMD Ryzen 9 7945HX3D averages 59641, which the Intel chip beats by 0.6 percent; and the Intel Xeon Gold 6338T averages 60572, 0.9 percent ahead. All four deltas are under one percent. Practically, this means the 14900F performs like a top-tier mobile Ryzen flagship and within a hair of an enterprise Xeon part, while being a desktop processor with ECC memory support — a notable feature normally associated with workstation platforms.

Two platform details matter for build planning. First, the 65 W TDP is unusually modest for a 24-core flagship and gives the build significant headroom under the suggested PSU figure discussed later. Second, the "F" suffix means no integrated graphics — the system will not display anything without the discrete GPU installed, which is worth remembering during troubleshooting. The multiplier is locked, so tuning headroom is limited by design.

GPU Analysis

The RTX 4000 SFF Ada Generation is a workstation card, not a gaming card, and its data sheet reflects that. It uses the AD104 chip on NVIDIA's Ada Lovelace architecture, fabbed by TSMC on a 5 nm process. The die measures 294 mm² with 35,800 million transistors at a density of 121.8 million transistors per square millimeter. It carries 6144 shading units, 192 texture mapping units, 64 render output units, 48 RT cores for hardware ray tracing, and 192 tensor cores for accelerated AI and denoising workloads.

Raw compute is substantial for the card's physical size. FP32 throughput is 19.17 TFLOPS, with FP16 running 1:1 at 19.17 TFLOPS. Pixel fill rate is 99.84 GPixel/s and texture fill rate is 299.5 GTexel/s. Clocks are conservative by gaming-card standards — 720 MHz base, 1560 MHz boost — consistent with a card tuned for sustained professional loads rather than peak frame rates.

The memory configuration is the most interesting spec on the sheet: 20 GB of GDDR6 on a 160-bit bus, delivering 280.0 GB/s of bandwidth with memory running at 1750 MHz (14 Gbps effective). Twenty gigabytes of VRAM is far beyond typical gaming cards of this class and is the single biggest argument for this card in rendering and AI work. The narrow bus and resulting 280 GB/s bandwidth, however, cap how fast that memory can be fed — a trade-off that shows up in the benchmark scores.

Those scores: 124812 in Geekbench OpenCL and 109364 in Geekbench Vulkan, averaging 117088 and placing the card in the 95th percentile of all GPUs. Against rivals, it is 0.3 percent behind the NVIDIA GB10 (117393), 1.6 percent behind the AMD Radeon PRO W7700 (118976), 2.4 percent ahead of the NVIDIA Tesla V100 SXM2 16 GB (114395), and 2.8 percent ahead of the NVIDIA RTX A5500 Mobile (113944). The OpenCL score exceeding the Vulkan score by a meaningful margin suggests the card's strongest compute path is OpenCL-based professional tooling; the Vulkan figure is the more relevant one for estimating game performance.

The card supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, so it is fully API-current for games and renderers. Display output is via four mini-DisplayPort 1.4a connectors — no HDMI — which matters for multi-monitor workstation setups. The physical package is remarkably compact: 168 mm long, 69 mm tall, dual-slot, with no external power connectors at all, running at a 70 W TDP. This is a card that slots into small-form-factor chassis and draws all power from the PCIe slot.

Benchmark Performance

Pulling the numbers together: the CPU contributes a 60008 average benchmark score at the 92nd percentile, with Cinebench R23 results of 39551 multi-core and 5583 single-core anchoring its profile. The GPU contributes a 117088 average at the 95th percentile, with 124812 OpenCL and 109364 Vulkan results. The combined percentile for the pairing is 94.

What does that combined figure mean? Both components individually sit in the top decile of the database, and neither drags the other down. The CPU's rival cluster — all within one percent — confirms it as a top-tier performer rather than a midrange part wearing an i9 badge. The GPU's rival cluster confirms it as a high-percentile compute part that trades blows with professional cards and a data-center-class Tesla V100, beating the latter by 2.4 percent on average.

The interesting nuance is the shape of each component's performance. The CPU is balanced: strong single-core (2570 Geekbench, 5583 R23) and elite multi-core (20008 Geekbench, 39551 R23). The GPU is compute-dense but bandwidth-limited: 19.17 TFLOPS of shading with 48 RT cores and 192 tensor cores, but 280 GB/s of memory bandwidth on a 160-bit bus. For rendering, simulation, and inference, the tensor and RT hardware plus 20 GB VRAM carry the workload. For rasterized gaming at high resolutions, the bandwidth ceiling becomes the binding constraint.

Balance and Bottleneck

This is a CPU-forward pairing. At the 92nd percentile, the i9-14900F has more raw processing throughput than almost any game engine can schedule, and its single-thread results (4506 PassMark, 2570 Geekbench) guarantee that no title will be CPU-starved for logic, physics, or draw-call submission at mainstream settings. In gaming workloads, the RTX 4000 SFF Ada is the limiting component — not because it is weak in absolute terms, but because its 280 GB/s bandwidth and 64 ROPs are tuned for a professional envelope rather than high-frame-rate rasterization.

In production workloads the picture inverts. GPU compute tasks that fit in the 20 GB framebuffer and lean on the 192 tensor cores or 48 RT cores — viewport rendering, GPU-accelerated denoising, local model inference — scale with the Ada architecture's throughput, and the CPU is more than capable of feeding them. The passmark_physics score of 2899 and the multithread result of 46532 indicate the CPU can drive simulation-heavy scenes without stalling the GPU.

There is no hard bottleneck in the conventional sense; there is a workload-dependent ceiling. The build's weakest relative link for gaming is the GPU's rasterization throughput; its strongest link for professional compute is the pairing of elite CPU throughput with a 95th-percentile GPU that carries workstation-class hardware features. Because no measured FPS data exists for this combination, these conclusions rest on the benchmark percentiles and scaling logic rather than direct frame captures.

Who Should Build It

The target user for this build is a professional first and a gamer second. The 20 GB of VRAM, ECC support on the CPU side, tensor cores, and four mini-DisplayPort outputs describe a compact workstation for 3D artists, CAD users, video editors working with large timelines, and developers running local AI inference — people who need the RTX 4000 SFF Ada's professional feature set and can also enjoy high-refresh gaming at 1080p or high-settings gaming at 1440p on the strength of the 95th-percentile compute scores and the Vulkan result of 109364.

Content creators benefit most directly: the 39551 R23 multi-core score makes CPU-based video encoding and export fast, while the GPU handles timeline preview and effects. Software developers get a 32-thread compile engine — the 20008 Geekbench multi-core score and 46532 PassMark multithread score translate directly into faster builds and test runs. Students in engineering, architecture, or machine-learning programs get a machine that runs professional toolchains and 20 GB VRAM-sized datasets on a desk. Small businesses needing certified-class graphics for CAD, GIS, or medical imaging get exactly that, in a card that needs no extra power connectors.

Pure gamers should look elsewhere — a gaming-oriented card at a similar compute percentile would deliver more frames per unit of rasterization. But a gamer who also renders, trains models, or edits video will find the pairing coherent.

Gaming Performance

This database contains no measured FPS rows for this exact CPU and GPU combination; dataIsMeasured is false and measuredFpsUltraByGame is empty. Every frame-rate statement in this section is therefore an estimate derived from the benchmark scores, not a measurement.

Working from the GPU's 109364 Vulkan score, its 95th-percentile standing, and its 19.17 TFLOPS of FP32 throughput, the expectation is confident 1080p ultra-settings performance in most modern titles, with frame rates comfortably into the high-refresh band in esports and lighter engines. At 1440p, ultra settings should remain broadly playable, though the 280 GB/s memory bandwidth and 64 ROPs will begin to bite in the heaviest rasterized scenes. At 4K ultra, the bandwidth ceiling becomes the dominant constraint, and settings reductions or upscaling techniques would be advisable in demanding titles. Ray tracing is hardware-supported through 48 RT cores and DirectX 12 Ultimate, but traced effects will cost proportionally more on this card than on gaming-flagship parts at the same percentile. The CPU side of the equation is never the question: with 4506 PassMark single-thread and 562 R15 single-core results, the processor can drive frames as fast as the GPU can produce them.

FAQ

Q: Does the Intel Core i9-14900F have integrated graphics?

A: No. The "F" suffix means integrated graphics are absent, so the system requires the discrete RTX 4000 SFF Ada to produce any display output.

Q: How much VRAM does the RTX 4000 SFF Ada have, and why does it matter?

A: 20 GB of GDDR6 on a 160-bit bus with 280.0 GB/s of bandwidth. The capacity supports large 3D scenes, high-resolution video timelines, and sizeable local AI models; the narrower bus limits peak rasterization throughput in games.

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

A: Statistically it is a tie. The Ryzen 9 7945HX and Ryzen 7 8745HX are each 0.2 percent ahead on average score, the Ryzen 9 7945HX3D is 0.6 percent behind, and the Xeon Gold 6338T is 0.9 percent ahead.

Q: What PSU is suggested for this build?

A: A 250 W unit is suggested for the GPU. With the CPU at a 65 W TDP and the GPU at 70 W, total system draw is low relative to typical flagship builds, and the card requires no external power connectors.

Q: Is the CPU good for gaming and everyday responsiveness?

A: Yes. Single-core scores of 2570 (Geekbench), 5583 (Cinebench R23), and 4506 (PassMark single-thread) place it among the strongest processors in the database for lightly threaded tasks.

Q: Are the gaming frame rates in this article measured?

A: No. No measured FPS data exists for this exact pairing in the database; all frame-rate expectations are estimates inferred from the benchmark scores and percentiles.

Q: Does the CPU support ECC memory?

A: Yes, ECC is supported — an unusual feature for a mainstream desktop part and a plus for workstation reliability.

Upgrade Path and Platform

The platform foundation is Intel Socket 1700, which opens the entire LGA1700 CPU range as a future swap path, and memory support covers both DDR4 and DDR5 on a dual-channel bus — DDR5 being the sensible choice for a new build at this tier. CPU PCIe connectivity is Gen 5 with 16 lanes from the CPU, though the GPU itself connects over PCIe 4.0 x16, so the card runs at its full rated link.

Power headroom is unusually generous. The GPU's suggested PSU figure is 250 W, the GPU itself draws 70 W with no power connectors, and the CPU carries a 65 W TDP. A quality suggested-size unit runs this build with room to spare, and any future GPU upgrade within a modest envelope fits without a PSU change. A sensible next upgrade sequence: first storage and memory (the DDR5 path and Gen 5 lanes support fast expansion), then, if gaming becomes a higher priority, a gaming-oriented GPU to replace the workstation card — the 92nd-percentile CPU will not hold back any realistic replacement. The locked multiplier on the CPU means overclocking is not part of the upgrade path.

Build Overview

This is a desktop build (buildClass: desktop) pairing a 92nd-percentile mainstream flagship CPU with a 95th-percentile professional compact GPU, combining into a 94th-percentile overall profile. The identity of the machine is a compact professional workstation with credible gaming ability: 24 cores and 32 threads of Raptor Lake-R throughput, 20 GB of Ada Lovelace VRAM with 192 tensor cores and 48 RT cores, ECC-capable memory support, and a total graphics-plus-CPU power envelope small enough for small-form-factor enclosures. It is a top-decile machine by the numbers, with its strengths concentrated in parallel compute rather than pure rasterized frame rates.

Usage Scenarios

High-refresh gaming. Estimated from the scores rather than measured: the 109364 Vulkan result and 95th-percentile GPU standing support high-refresh 1080p play, with the CPU's 4506 single-thread PassMark score guaranteeing no processor-side frame ceiling. At higher resolutions the 280 GB/s bandwidth becomes the limiter.

Streaming. The pairing is well suited: the 46532 PassMark multithread score leaves headroom for encoding alongside gameplay, and the CPU's 32 threads absorb the overhead of capture, scene compositing, and chat without dipping into the GPU's budget.

Video editing. Strong on both axes — 39551 in Cinebench R23 multi-core for export and encode, and 20 GB of VRAM for high-resolution timeline preview, effects, and GPU-accelerated decode in professional NLEs.

3D rendering and simulation. The core use case for this GPU. The 48 RT cores accelerate ray-traced viewport renders, 192 tensor cores accelerate denoising and AI-assisted features, 20 GB of VRAM holds large scenes, and the 124812 OpenCL score confirms strong compute throughput — with the CPU's passmark_physics result of 2899 supporting simulation-heavy work.

Software development. The 20008 Geekbench multi-core and 177066 PassMark integer math scores translate directly to fast compilation, containerized test runs, and local build pipelines, while 2570 Geekbench single-core keeps IDEs and tooling responsive.

Student and office work. Vastly overqualified in the best way: everyday productivity rides the single-core scores, while coursework in machine learning, CAD, or data science exploits the 20 GB framebuffer and tensor cores that a standard office machine lacks — all in a desk-friendly dual-slot package with four mini-DisplayPort outputs for multi-monitor study setups.