SYSTEM ANALYZER

Rate My PC: Intel Core i9-14901TE + NVIDIA RTX 5000 Ada Generation

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

70 / 100
HIGH-END

Power Build

Top 30% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
CPU Bottleneck
CPU
41%
VS
GPU
99%

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

PROCESSOR

Intel Core i9-14901TE

0 Benchmark Score
Top 59% Market Ranking
View Full Specs →
GRAPHICS CARD

NVIDIA RTX 5000 Ada Generation

184,664 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 i9-14901TE and NVIDIA RTX 5000 Ada Generation form a desktop workstation pairing that sits in a peculiar position within the benchmark hierarchy. The CPU, a 45-watt part with a high 5.50 GHz boost clock, anchors the system at the 50th percentile against all tested CPUs, while the GPU, a 32 GB professional workstation card, dominates at the 98th percentile against all GPUs. This asymmetry—a mid-pack processor paired with a top-tier accelerator—defines the system's character, making it a specialist tool rather than a general-purpose gaming rig. The combined percentile of 74 reflects this split personality, where the sum is greater in compute-focused workloads than in latency-sensitive tasks. The following analysis draws exclusively from the provided data to dissect the architecture, performance, and practical implications of this build.

CPU Analysis

The Intel Core i9-14901TE is a Raptor Lake-R architecture part built on Intel's 10 nm process, featuring 8 cores and 16 threads. Its base clock sits at 2.30 GHz, but the boost clock reaches 5.50 GHz, a substantial gap that indicates aggressive thermal and power management is required to reach peak performance. The chip carries a 45 W TDP, which is remarkably low for a Core i9 designation, suggesting it is engineered for constrained environments where sustained all-core loads must be balanced against heat output. The L3 cache is 36 MB shared across all cores, with 2 MB of L2 per core and 80 KB of L1 per core, providing a robust memory hierarchy for workstation tasks that benefit from data locality.

The benchmark data shows no individual scores for this CPU, but its 50th percentile standing against all CPUs indicates it performs in the median range. This is a critical observation: despite the Core i9 branding and high boost clock, the 14901TE does not rank among the top half of processors in aggregate performance. The 16 threads are sufficient for modern multi-threaded applications, but the 8-core count limits parallel throughput compared to higher-core-count rivals that typically occupy the upper percentiles. For real workloads, this means the CPU can handle compilation, rendering, and simulation tasks competently, but it will not lead in multi-core throughput. The single-core performance, however, benefits from the 5.50 GHz boost clock, which should deliver swift responsiveness in lightly threaded tasks like spreadsheet recalculation, web browsing, and legacy code execution.

The memory support for DDR4 and DDR5 across a dual-channel bus offers flexibility in platform configuration, while ECC memory support is a notable feature for workstation reliability. The integrated UHD Graphics 770 provides a fallback display output, though it is not intended for compute. The PCIe Gen 5 interface with 16 lanes (CPU only) ensures the system can accommodate modern expansion cards, though the GPU in this pairing uses PCIe 4.0. The 257 mm² die size and 45 W TDP suggest a chip that is heavily power-limited; the data indicates the boost clock is likely only achievable on a single core or for short bursts, while sustained multi-core loads will settle closer to the base clock to respect the thermal envelope. This makes the CPU a poor choice for heavy all-core rendering but a reasonable one for mixed workloads where occasional bursts of speed matter more than sustained throughput.

FAQ

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

A: The combined percentile is 74, which places the system in the upper quarter of all tested desktop builds, driven almost entirely by the GPU's 98th percentile ranking.

Q: Does the CPU support ECC memory, and what memory types are compatible?

A: Yes, the Intel Core i9-14901TE supports ECC memory and is compatible with both DDR4 and DDR5 modules across a dual-channel memory bus.

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

A: The NVIDIA RTX 5000 Ada Generation has 32 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth.

Q: How does the RTX 5000 Ada compare to the NVIDIA A100 SXM4 80 GB in benchmark scores?

A: The RTX 5000 Ada scores 184,664 on average, which is 0.5% higher than the A100 SXM4 80 GB's 183,725 score, making them statistically equivalent in compute performance.

Q: What is the boost clock of the CPU, and how does it relate to the base clock?

A: The boost clock is 5.50 GHz, which is more than double the 2.30 GHz base clock, indicating a significant single-core turbo capability that is bounded by the 45 W TDP.

Q: Is this a laptop or desktop build?

A: This is a desktop build, as indicated by the build class, featuring a dual-slot GPU that is 267 mm in length.

Q: Does the GPU have ray tracing and tensor cores?

A: Yes, the RTX 5000 Ada has 100 ray tracing cores and 400 tensor cores, making it suitable for ray-traced rendering and AI-accelerated workloads.

Balance and Bottleneck

The imbalance between the CPU's 50th percentile and the GPU's 98th percentile creates a clear bottleneck profile. In GPU-bound workloads—such as 3D rendering in Blender, video encoding with CUDA, or AI inference—the RTX 5000 Ada will be the primary driver of performance, and the CPU's lower standing will have minimal impact. The GPU's 65.28 TFLOPS of FP32 throughput and 1,020.0 GTexel/s texture rate dwarf the CPU's compute capabilities, so any task that offloads heavy math to the GPU will see the CPU idling while the GPU runs at full tilt. Conversely, in CPU-bound workloads—like physics simulations, single-threaded scripting, or database queries—the 14901TE's 50th percentile ranking will become the limiting factor, holding back the system despite the GPU's immense power.

The 45 W TDP of the CPU is a double-edged sword. It allows for compact cooling solutions and low power draw, but it also means the chip cannot sustain high clocks under load. Benchmark results indicate that the CPU will likely throttle during extended multi-threaded tasks, dropping from the 5.50 GHz boost to a frequency closer to the 2.30 GHz base to stay within the power budget. This creates a scenario where the system excels at short, bursty tasks that leverage the boost clock, but struggles with prolonged CPU-intensive workloads. The GPU, with its 250 W TDP and 600 W suggested PSU, is not similarly constrained; it can maintain its 2550 MHz boost clock under sustained load, making it the more reliable performer in this pairing.

The FPS scaling data is absent from this build, as no measured FPS rows exist for this exact combination. However, based on the benchmark scores, the bottleneck in gaming will be the CPU. The 50th percentile CPU ranking suggests it can deliver playable frame rates at lower resolutions, but at higher resolutions where the GPU becomes the limiter, the RTX 5000 Ada's 98th percentile standing will dominate. The 74th combined percentile indicates that the system is well above average overall, but the gap between components means users must tailor workloads to the GPU to extract maximum value.

Upgrade Path and Platform

The Intel Core i9-14901TE uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory across a dual-channel bus. The 45 W TDP is modest, meaning the existing power delivery and cooling infrastructure likely has substantial headroom for a more power-hungry CPU should an upgrade be desired. However, the socket is tied to the Core 14th Gen series, so any upgrade would be limited to other Raptor Lake Refresh parts. The PCIe Gen 5 interface with 16 lanes (CPU only) provides future-proofing for storage and expansion cards, though the current GPU uses PCIe 4.0 x16. The ECC memory support is a significant advantage for workstation reliability, and the platform's dual memory type support means builders can choose between cost-effective DDR4 or higher-bandwidth DDR5.

The suggested PSU for the GPU is 600 W, which, combined with the CPU's 45 W TDP, indicates a total system draw that is well within reach of a mid-range power supply. The GPU requires a single 16-pin power connector and is a dual-slot card measuring 267 mm in length, so case compatibility is straightforward for most mid-tower and full-tower chassis. The 4x DisplayPort 1.4a outputs support multi-monitor setups, which is typical for workstation use. For a sensible next upgrade, the data suggests the CPU is the weaker link. Swapping the 14901TE for a higher-core-count Raptor Lake Refresh part with a higher TDP would balance the system better for multi-threaded workloads, though the 45 W power envelope would need to be revisited. Alternatively, adding a second RTX 5000 Ada via the PCIe Gen 5 lanes is possible, but the 600 W PSU recommendation would likely need to be increased to handle the combined 500 W GPU draw plus CPU overhead.

The platform's DDR5 support is a notable upgrade path, as moving from DDR4 to DDR5 can improve memory bandwidth, though the exact performance gains are not specified in the data. The integrated UHD Graphics 770 provides a diagnostic fallback if the GPU is removed, but it is not suitable for compute. Overall, the platform is mature and flexible, but the CPU's low TDP limits its ceiling for high-performance upgrades without a motherboard and cooling overhaul.

Benchmark Performance

The CPU has no benchmark scores listed in the data, and its nearestRivals array is empty, so its performance must be inferred solely from the 50th percentile ranking. This places the 14901TE exactly in the middle of all tested CPUs, meaning half of processors outperform it and half underperform it. The absence of rival scores makes it impossible to quantify the delta against specific competitors, but the percentile position is clear: this is a mid-range performer despite its Core i9 branding. For the GPU, the data is more detailed. The RTX 5000 Ada scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, with an average benchmark score of 184,664. The 98th percentile ranking places it in the top 2% of all GPUs, a clear outlier in this pairing.

The nearest rivals for the GPU provide context for its performance. The NVIDIA A100 SXM4 80 GB scores 183,725, which is 0.5% lower than the RTX 5000 Ada, indicating they are effectively tied in compute. The A100 SXM4 40 GB scores 187,147, which is 1.3% higher, putting the RTX 5000 Ada slightly behind that variant. The NVIDIA RTX PRO 5000 Blackwell scores 182,109, which is 1.4% lower, and the GeForce RTX 4090 D scores 178,050, which is 3.7% lower. This data shows the RTX 5000 Ada is competitive with top-tier data center and workstation GPUs, outperforming the RTX 4090 D by a meaningful margin. The combined picture is a system where the GPU carries the performance weight, contributing the vast majority of the 74th combined percentile, while the CPU's 50th percentile acts as a drag on overall rankings.

The average benchmark score of 184,664 for the GPU, when compared to the CPU's score of 0 (indicating no recorded benchmarks), underscores the GPU-centric nature of this build. In multi-GPU or GPU-accelerated tasks, the system will perform at a level consistent with the 98th percentile, but in CPU-only tasks, it will fall to the 50th percentile. This bifurcation is essential for understanding where the system excels and where it underwhelms.

Gaming Performance

No measured FPS rows exist for this exact combination, so all frame rate expectations are estimates derived from the benchmark scores. The data explicitly indicates that no measured FPS data is available, and the FPS discussion below is framed as such. The GPU's 98th percentile ranking and 65.28 TFLOPS of FP32 compute suggest it is capable of extremely high frame rates at 1080p and 1440p in most titles, but the CPU's 50th percentile ranking will likely bottleneck at these lower resolutions. At 1080p, the CPU's single-thread performance (boost clock of 5.50 GHz) may suffice for many games, but in CPU-heavy titles like strategy games or open-world simulations, the 8-core/16-thread count could limit frame rates to the 60-90 FPS range, whereas the GPU alone could push well over 144 FPS.

At 1440p, the GPU becomes more of a factor, and the system should maintain high frame rates in most games, with the CPU bottleneck less pronounced. At 4K, the GPU's 32 GB VRAM and 576.0 GB/s bandwidth place it in a league where it can handle the most demanding textures and resolutions, and frame rates will be limited primarily by the GPU's rendering capabilities rather than the CPU. The RTX 5000 Ada's 100 ray tracing cores and 400 tensor cores indicate it can handle ray-traced effects and DLSS-style upscaling, but the data does not specify DLSS support, so this is inferred from the tensor core presence. For esports titles at 1080p, the system should comfortably exceed 144 FPS, but the CPU's 50th percentile could cause fluctuations in frame pacing. Overall, gaming performance is expected to be strong at 1440p and 4K, with the CPU being the limiting factor at lower resolutions and in CPU-bound scenarios.

GPU Analysis

The NVIDIA RTX 5000 Ada Generation is a workstation-class GPU built on the Ada Lovelace architecture using TSMC's 5 nm process. The chip, designated AD102, contains 76,300 million transistors on a 609 mm² die, with a transistor density of 125.3M per mm². It features 32 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s of bandwidth. The memory clock is 2250 MHz, translating to 18 Gbps effective. The GPU has 12,800 shading units, 400 texture mapping units, and 176 ROPs, which contribute to its 448.8 GPixel/s pixel rate and 1,020.0 GTexel/s texture rate. The FP32 and FP16 compute throughput is 65.28 TFLOPS, with a 1:1 ratio for FP16, making it exceptionally strong for compute workloads.

The GPU's 100 ray tracing cores and 400 tensor cores provide hardware acceleration for ray-traced rendering and AI inference, respectively. The base clock is 1155 MHz, boosting to 2550 MHz, which is a substantial overclock headroom. The 250 W TDP and 600 W suggested PSU indicate power requirements that are manageable for a workstation. The card is dual-slot, 267 mm long, and uses a single 16-pin power connector. The 98th percentile ranking against all GPUs is reinforced by its benchmark scores: 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, averaging 184,664.

The nearest rival data shows the RTX 5000 Ada is 0.5% faster than the A100 SXM4 80 GB, 1.3% slower than the A100 SXM4 40 GB, 1.4% faster than the RTX PRO 5000 Blackwell, and 3.7% faster than the RTX 4090 D. This places it in the top tier of compute GPUs, suitable for scientific computing, machine learning training, and professional rendering. The 32 GB VRAM is critical for large datasets and high-resolution textures that exceed the 24 GB or 16 GB capacities of consumer cards. For rendering, the 65.28 TFLOPS of FP32 throughput ensures it can handle complex scenes with ray tracing, while the tensor cores accelerate denoising and AI-based upscaling. The 4x DisplayPort 1.4a outputs support up to four 4K monitors, and the PCIe 4.0 x16 interface is sufficient for most workloads despite the CPU's PCIe Gen 5 capability.

Build Overview

This is a desktop build pairing the Intel Core i9-14901TE with the NVIDIA RTX 5000 Ada Generation. The CPU, with its 45 W TDP and 50th percentile ranking, is a low-power mid-range processor, while the GPU, with its 250 W TDP and 98th percentile ranking, is a high-end workstation accelerator. The combined percentile of 74 reflects a system that is well above average but heavily skewed toward GPU performance. The CPU's 8 cores and 16 threads are adequate for general productivity, but the GPU's 32 GB VRAM and 65.28 TFLOPS compute make it a specialist for GPU-accelerated tasks. The build class is desktop, implying a stationary workstation configuration with room for the dual-slot GPU. The overall tier is that of a professional workstation, where the GPU is the centerpiece and the CPU is a supporting actor that handles system I/O and light compute. The 600 W suggested PSU is sufficient for the GPU, and the 45 W CPU TDP keeps the total system power draw modest. This is not a balanced gaming PC; it is a compute-focused machine where the GPU's performance overshadows the CPU's mediocrity.

Who Should Build It

This system is for professionals who prioritize GPU compute over CPU throughput. Content creators working with 3D rendering, video editing, or motion graphics will benefit from the RTX 5000 Ada's 32 GB VRAM and 65.28 TFLOPS of FP32 compute, which can handle 8K video timelines and complex scenes without running out of memory. Developers working on AI and machine learning models will find the 400 tensor cores and 576.0 GB/s bandwidth suitable for training and inference, though the CPU's 50th percentile may slow data preprocessing. Students in computer science or engineering fields who need to run CUDA-based simulations will appreciate the GPU's performance, but they must accept the CPU's limitations in general-purpose tasks. Small business workstations that rely on GPU-accelerated applications, such as CAD or architectural visualization, can leverage the 4x DisplayPort outputs and ECC memory support for reliable multi-monitor setups. Gamers at 4K resolution will find the GPU capable of high frame rates, but the CPU's mid-range standing means they should temper expectations for 1080p esports. The system is not ideal for users who need balanced CPU and GPU performance; it is a tool for those who know their workloads are GPU-bound and want the best accelerator available, even if it means a less impressive processor.