SYSTEM ANALYZER

Rate My PC: Intel Core i5-14500T + 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 i5-14500T

28,065 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 i5-14500T and NVIDIA RTX 4000 Ada Generation form a desktop workstation pairing that targets a specific niche: high-efficiency CPU compute combined with professional-grade GPU acceleration. The CPU’s 14 cores and 20 threads operate within a 35 W TDP envelope, while the GPU’s Ada Lovelace architecture delivers 26.73 TFLOPS of FP32 performance. Benchmark data places the CPU at the 80th percentile among all processors and the GPU at the 95th percentile among all graphics cards, with a combined percentile of 88. This indicates a system that excels in GPU-heavy workloads while remaining competent for general CPU tasks, though the processor’s low-power design means it will not lead in multi-threaded rendering or compilation.

CPU Analysis

The Intel Core i5-14500T is a Raptor Lake-R architecture processor built on Intel’s 10 nm process, occupying a 215 mm² die. It features 14 cores (6 performance and 8 efficiency, inferred from the core/thread count) with a base clock of 1.70 GHz and a boost clock of 4.80 GHz. The cache hierarchy includes 80 KB L1 per core, 1.25 MB L2 per core, and 24 MB of shared L3 cache. Memory support covers both DDR4 and DDR5 in dual-channel configuration, with ECC memory support enabled—a notable feature for workstation stability. The CPU connects via PCIe Gen 5 with 16 lanes from the processor, and includes integrated UHD Graphics 770.

Benchmark scores reveal a mixed profile. In Cinebench R23, the CPU scores 11790 in multi-core and 1838 in single-core. The multi-core figure is modest relative to higher-TDP desktop processors, reflecting the 35 W design constraint. Single-core performance, however, is competitive: a score of 1838 in Cinebench R23 single-core puts it in the upper tier for everyday responsiveness and lightly threaded applications. Geekbench results mirror this: 11894 multi-core and 2229 single-core. PassMark tests show strengths in integer math (80922) and floating-point math (58869), but a weak find prime numbers score of 81 indicates that the efficiency cores do not accelerate certain integer-heavy algorithms as effectively. Data compression (262417) and encryption (15410) scores are strong for a 35 W part, suggesting acceptable throughput for archival and security tasks.

The CPU’s nearest rivals, based on average benchmark scores, include the AMD Ryzen 5 PRO 8500GE (deltaPct 0), AMD Ryzen 5 PRO 5655G (deltaPct 0.1), and Intel Core i9-12900H (deltaPct 0.2). These deltas are within 0.2%, meaning the i5-14500T is functionally tied with those parts in aggregate performance. However, the i9-12900H is a mobile processor, so the comparison highlights that the i5-14500T’s efficiency does not sacrifice raw throughput relative to a higher-clocked laptop chip. The AMD Ryzen AI 5 435 trails by -0.2%, placing the Intel part slightly ahead. For real workloads, this means the CPU handles office productivity, coding, and light video editing without complaint, but sustained multi-core rendering or heavy simulation will be limited by the 35 W thermal budget.

FAQ

Q: What is the core and thread count of the Intel Core i5-14500T?

A: The CPU has 14 cores and 20 threads, with a base clock of 1.70 GHz and a boost clock of 4.80 GHz.

Q: How does the i5-14500T compare to its nearest CPU rivals in average benchmark score?

A: The CPU’s average benchmark score is 28065. The AMD Ryzen 5 PRO 8500GE scores 28054 (deltaPct 0), the AMD Ryzen 5 PRO 5655G scores 28032 (deltaPct 0.1), and the Intel Core i9-12900H scores 28003 (deltaPct 0.2). The AMD Ryzen AI 5 435 scores 28128 (deltaPct -0.2).

Q: What is the GPU’s memory configuration and bandwidth?

A: The NVIDIA RTX 4000 Ada Generation has 20 GB of GDDR6 memory on a 160-bit bus, with a bandwidth of 360.0 GB/s and an effective memory clock of 18 Gbps.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i5-14500T supports ECC memory, which is beneficial for error-sensitive workloads like financial modeling or scientific computing.

Q: What are the GPU’s ray tracing and tensor core counts?

A: The RTX 4000 Ada Generation has 48 RT cores and 192 tensor cores, enabling hardware-accelerated ray tracing and AI inference.

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

A: The combined percentile is 88, indicating the system outperforms 88% of all benchmarked desktop configurations.

Q: Is there measured gaming FPS data for this exact combination?

A: No, the FACT PACK contains no measured FPS data for this CPU and GPU pairing. All gaming performance figures must be treated as estimates derived from benchmark scores.

Gaming Performance

There are no measured FPS rows for this exact combination of Intel Core i5-14500T and NVIDIA RTX 4000 Ada Generation in the FACT PACK. Therefore, all gaming performance figures below are estimates based on the GPU’s benchmark scores and the CPU’s single-core capabilities, not empirical results.

The RTX 4000 Ada Generation scores 146593 in Geekbench OpenCL and 123842 in Geekbench Vulkan. These scores place it at the 95th percentile among all GPUs. For 1080p gaming, this GPU would be expected to handle most titles at high or ultra settings, given its 26.73 TFLOPS FP32 throughput and 417.6 GTexel/s texture rate. The CPU’s Cinebench R23 single-core score of 1838 suggests sufficient per-thread performance to avoid bottlenecking the GPU in most games, though the 35 W TDP may cause power throttling in CPU-intensive scenes. At 1440p, the GPU’s 20 GB VRAM and 360.0 GB/s bandwidth would allow high texture quality without memory pressure, but the CPU’s modest multi-core score (11790 in Cinebench R23) could limit frame rates in games that utilize more than 8 threads. At 4K, the GPU becomes the primary bottleneck, and the CPU’s single-core performance becomes less critical; here, the RTX 4000 Ada Generation’s 139.2 GPixel/s pixel rate would drive playable frame rates in most titles, though not at the highest refresh rates.

The GPU’s nearest rivals include the NVIDIA A10M (deltaPct 0), AMD Radeon PRO W6800 (deltaPct -0.1), and AMD Radeon Pro W6800X Duo (deltaPct -0.4). These deltas indicate the RTX 4000 Ada Generation is statistically tied with the A10M but slightly behind the W6800 series in aggregate GPU benchmarks. For gaming, this suggests performance similar to a mid-range workstation GPU—adequate for 1440p gaming but not designed for competitive high-refresh esports. The lack of measured FPS data means these are directional estimates, not guarantees.

Who Should Build It

This system targets users who prioritize GPU compute over raw CPU multi-threading. The RTX 4000 Ada Generation’s 95th percentile ranking makes it suitable for professionals in 3D rendering, video editing with GPU acceleration, and AI inference. The 20 GB VRAM accommodates large datasets for machine learning model training or high-resolution texture work in 3D animation. The CPU’s 80th percentile ranking and 35 W TDP make it suited for office workstations where low power consumption and quiet operation are valued over peak performance. Students in engineering or data science programs would benefit from the ECC memory support and the GPU’s 192 tensor cores for deep learning assignments. Small business workstations handling CAD or financial modeling would find the single-core performance (1838 in Cinebench R23) responsive, while the multi-core score (11790) handles moderate parallel workloads like batch image processing. Gamers at 1440p resolution would find this system capable, but the GPU’s workstation orientation (single-slot, 4x DisplayPort 1.4a) suggests it is not optimized for high-refresh gaming monitors.

Balance and Bottleneck

The primary bottleneck in this system is the CPU’s 35 W TDP. In multi-threaded workloads like video rendering or software compilation, the CPU’s Cinebench R23 multi-core score of 11790 is significantly lower than what a higher-TDP desktop processor would deliver, limiting overall throughput. The GPU, by contrast, is not the limiting factor in such tasks—its 95th percentile ranking and 26.73 TFLOPS ensure it can process graphics far faster than the CPU can feed it. In gaming, the balance shifts: the CPU’s single-core score of 1838 is adequate for most titles, but the GPU’s workstation design means it is not tuned for low-latency frame delivery, though its pixel rate (139.2 GPixel/s) is strong. The FPS scaling between resolutions would show the GPU becoming more dominant at higher resolutions, where its VRAM and bandwidth (360.0 GB/s) prevent memory-related stutters, but the CPU’s modest multi-core performance could cause frame dips in games that use more than 6-8 threads. The PCIe Gen 5 interface from the CPU and PCIe 4.0 x16 on the GPU ensure no bandwidth bottleneck for data transfer, but the GPU’s 130 W TDP and suggested PSU of 300 W mean power draw is not a constraint.

GPU Analysis

The NVIDIA RTX 4000 Ada Generation is a workstation GPU based on the AD104 chip, built on TSMC’s 5 nm process with 35,800 million transistors on a 294 mm² die. It has 6144 shading units, 192 TMUs, and 64 ROPs. The GPU’s base clock is 1500 MHz with a boost clock of 2175 MHz, and the memory operates at 2250 MHz (18 Gbps effective). Memory configuration is 20 GB of GDDR6 on a 160-bit bus, yielding 360.0 GB/s of bandwidth. The GPU includes 48 RT cores for ray tracing and 192 tensor cores for AI acceleration. Compute performance is rated at 26.73 TFLOPS for both FP32 and FP16 (1:1 ratio). The pixel rate is 139.2 GPixel/s and texture rate is 417.6 GTexel/s.

Benchmark results show a Geekbench OpenCL score of 146593 and a Vulkan score of 123842. These scores place the GPU at the 95th percentile among all GPUs, with an average benchmark score of 135218. The nearest rivals are the NVIDIA A10M (135230, deltaPct 0), AMD Radeon PRO W6800 (135396, deltaPct -0.1), and AMD Radeon Pro W6800X Duo (135774, deltaPct -0.4). The close deltas (within -0.9%) indicate that the RTX 4000 Ada Generation is performance-equivalent to these professional cards. For rendering workloads, the 20 GB VRAM is the standout feature—it allows entire scenes or large 3D models to reside in memory without swapping. The tensor cores accelerate denoising in ray-traced renders and enable real-time AI inference, making this GPU suitable for tasks like medical imaging analysis or generative AI prototyping. The 4x DisplayPort 1.4a outputs support multi-monitor setups up to 8K.

Benchmark Performance

The CPU’s benchmark scores are consistently strong for a 35 W part. In Cinebench R15, it scores 2022 multi-core and 252 single-core; in R20, 8177 multi-core and 1154 single-core; and in R23, 11790 multi-core and 1838 single-core. Geekbench scores are 11894 multi-core and 2229 single-core. PassMark tests show a multithread score of 22910, single-thread score of 3736, physics score of 1288, and floating-point math score of 58869. The CPU’s average benchmark score is 28065, placing it at the 80th percentile of all CPUs. Its nearest rivals are all within 0.2% deltaPct, meaning the i5-14500T sits in a tightly contested performance band.

The GPU’s benchmark scores are 146593 in Geekbench OpenCL and 123842 in Geekbench Vulkan, with an average of 135218. This places it at the 95th percentile of all GPUs. The combined percentile for this CPU-GPU pairing is 88, indicating that the system outperforms 88% of benchmarked desktop configurations. The GPU is clearly the stronger component—its 95th percentile ranking is 15 points higher than the CPU’s 80th percentile. This asymmetry defines the system’s character: it is a GPU-first workstation where the CPU provides adequate but not exceptional support. The deltaPct values for the GPU rivals (0 to -0.9%) show that the RTX 4000 Ada Generation is at the top of its class, while the CPU’s rivals (0 to 0.2%) show a more crowded field.

Build Overview

This is a desktop-class build (buildClass: desktop) pairing the Intel Core i5-14500T with the NVIDIA RTX 4000 Ada Generation. The CPU is a low-power 14-core processor from the Core 14th Gen series, while the GPU is a professional workstation card from the GeForce 40-series line. The combined percentile of 88 places this system in the upper tier of desktop configurations. The GPU’s 95th percentile ranking dominates the system’s overall performance, making it a strong choice for GPU-accelerated workloads like 3D rendering, video encoding, and machine learning. The CPU’s 80th percentile ranking is respectable but not leading, reflecting its 35 W TDP design. This pairing is best characterized as a balanced workstation for professionals who need high GPU compute without the power draw of a full-size desktop CPU. The system’s tier, based on the 88th combined percentile, is solidly mid-to-high-end, suitable for demanding professional applications but not for extreme multi-threaded CPU workloads.

Usage Scenarios

High-refresh gaming: The GPU’s 95th percentile ranking and 26.73 TFLOPS suggest it can drive 1080p or 1440p gaming at high settings, but the CPU’s single-core score of 1838 (Cinebench R23) may limit frame rates in CPU-bound titles. Expect smooth gameplay at 60-100 FPS in most games, but not competitive 240 Hz esports performance.

Streaming: The GPU’s 192 tensor cores can handle real-time encoding and AI-based upscaling, while the CPU’s 20 threads provide enough headroom for encoding and broadcasting. The 35 W CPU TDP means less heat in the case, which benefits sustained streaming sessions.

Video editing: The GPU’s 20 GB VRAM and 360.0 GB/s bandwidth allow for smooth 4K timeline scrubbing and effects preview. The CPU’s multi-core score of 11790 (Cinebench R23) handles export encoding adequately, though not as fast as higher-TDP CPUs. ECC memory support adds reliability for long render jobs.

3D rendering: This is the system’s strongest scenario. The GPU’s 48 RT cores and 26.73 TFLOPS FP32 performance deliver fast ray-traced renders, while the 20 GB VRAM accommodates large scenes. The CPU’s rendering capabilities are secondary, but its 24 MB L3 cache helps with scene preparation.

Software development: The CPU’s single-core score of 1838 ensures snappy compilation for small projects, and the 20 threads handle parallel builds. The GPU can accelerate code that uses CUDA or OpenCL, making this suitable for developers working on GPU-accelerated applications.

Student and office work: The 35 W TDP means low power consumption and quiet operation, ideal for dorm rooms or open offices. The CPU’s Geekbench single-core score of 2229 handles office suites and web browsing effortlessly, while the GPU’s compute power is available for coursework in data science or engineering.

Upgrade Path and Platform

The Intel Core i5-14500T uses the Intel Socket 1700 platform, which supports DDR4 and DDR5 memory in dual-channel configuration. The CPU provides PCIe Gen 5 with 16 lanes, while the GPU uses PCIe 4.0 x16—a mismatch that does not create a bottleneck since the GPU’s bandwidth needs are met by PCIe 4.0. The system’s memory support for both DDR4 and DDR5 gives builders flexibility, and ECC memory support is a unique advantage for workstation reliability. The CPU’s TDP is 35 W, while the GPU’s TDP is 130 W, with a suggested PSU of 300 W. This leaves ample headroom for additional components like extra storage or fans.

A sensible next upgrade would be a higher-TDP CPU on the same Socket 1700 platform, such as a Core i5 or i7 with a higher boost clock and more cache, which would improve multi-threaded performance (the current CPU scores 11790 in Cinebench R23 multi-core). Alternatively, adding more DDR5 memory would benefit memory-heavy workloads, given the 20 GB GPU VRAM is already ample. The GPU’s single-slot design and 130 W TDP mean it can be replaced with a newer workstation card in the future, but the current RTX 4000 Ada Generation’s 95th percentile ranking suggests it will remain relevant for several generations. The PCIe Gen 5 interface on the CPU ensures future storage devices will not be bottlenecked, and the 300 W suggested PSU provides enough headroom for a modest CPU upgrade without changing the power supply.