SYSTEM ANALYZER

Rate My PC: Intel Core i9-14900T + NVIDIA RTX 5000 Embedded Ada Generation X2

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

84 / 100
HIGH-END

Power Build

Top 16% of systems. Excellent for 1440p Ultra or 4K High gaming.

1440p Ultra4K High

System Balance Analysis

CPU vs GPU performance ratio
Well Balanced
CPU
94%
VS
GPU
74%
PROCESSOR

Intel Core i9-14900T

51,015 Benchmark Score
Top 6% Market Ranking
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GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation X2

0 Benchmark Score
Top 26% 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

Strong Performance

Excellent for 1440p gaming. Most games will run at high/ultra settings smoothly.

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

Intel Core i9-14900T paired with dual NVIDIA RTX 5000 Embedded Ada Generation GPUs represents a desktop configuration with a stark performance asymmetry. The CPU is a top-tier 24-core processor sitting in the 90th percentile of all CPUs, while the dual embedded GPUs are mid-pack performers in the 50th percentile. Benchmark results indicate this system prioritizes multi-threaded compute and data processing over graphics rendering, making it a peculiar but potentially powerful workstation for specific professional workloads, though not for gaming or high-FPS scenarios. No measured FPS data exists for this exact combination, so all frame rate discussion is estimated from the benchmark scores.

CPU Analysis

The Intel Core i9-14900T is built on the Raptor Lake architecture using Intel's 10 nm process, featuring a die size of 257 mm². The chip houses 24 cores and 32 threads, combining performance and efficiency cores to deliver a base clock of 1.10 GHz and a boost clock of 5.50 GHz. The 35W TDP is notably low for a Core i9, yet the boost clock reaches the same 5.50 GHz as higher-power variants, indicating strong single-threaded headroom despite the thermal constraints. Cache configuration includes 80 KB of L1 per core, 2 MB of L2 per core, and a shared 36 MB of L3 cache, providing ample capacity for working sets in compute-heavy tasks.

Multi-threaded benchmark results position this CPU as a serious workstation processor. Cinebench R23 multicore score of 30803 places it in the 90th percentile of all CPUs, a figure that rivals desktop processors with much higher power envelopes. The single-core Cinebench R23 score of 4348 demonstrates that the 35W TDP does not cripple single-threaded performance, which is critical for legacy applications and lightly-threaded workloads. Cinebench R20 scores follow the same pattern: 12937 multicore and 1826 singlecore, while the older R15 test yields 3104 multicore and 438 singlecore.

PassMark results reinforce the CPU's compute strengths. The multithread score of 36239 and average benchmark score of 51015 confirm the 90th percentile ranking. Data compression performance is exceptional at 436066, while integer math scores 138149 and floating-point math reaches 92699. Extended instructions score 23660, and random string sorting hits 49484. The data encryption score of 27062 shows robust cryptographic throughput. Physics simulation scores 2245, and prime number finding is relatively modest at 164. Single-thread performance in PassMark is 4016, consistent with the Cinebench single-core results.

Relative to nearest rivals, the i9-14900T is tightly clustered. It trails the Intel Core Ultra 9 285T by 0.6%, while leading the Intel Core i7-13850HX by 0.5%, the AMD Ryzen 9 5900XT by 0.6%, and the AMD Ryzen AI 9 HX PRO 370 by 1.1%. This places the 14900T in a performance tier where generational and architectural differences are negligible in aggregate scoring, but the 14900T's advantage lies in its combination of high boost clock and 24 cores.

The integrated UHD Graphics 770 provides basic display output, but the CPU's real value is in its processing throughput. For real workloads, the 14900T excels in scenarios that leverage all 32 threads—video encoding, 3D rendering, simulation, and database operations. The low TDP makes it suitable for compact or thermally constrained builds, but the performance ceiling is defined by the 5.50 GHz boost clock and the efficiency of the Raptor Lake architecture.

Benchmark Performance

The combined percentile for this CPU+GPU pairing is 70, reflecting the dominance of the CPU's 90th percentile score over the GPU's 50th percentile. The CPU's average benchmark score of 51015 is the primary driver of system capability, while the dual RTX 5000 Embedded GPUs have an average benchmark score of 0 with no individual benchmark data available. This absence of GPU benchmark scores means the 50th percentile ranking is derived from the GPU's hardware specifications rather than measured performance.

Looking at the CPU's benchmark suite, the Cinebench R23 multicore score of 30803 is the headline figure. This score indicates the 14900T can handle heavily-threaded rendering and encoding tasks with authority. The single-core R23 score of 4348 confirms that the CPU does not sacrifice responsiveness in single-threaded tasks. The PassMark multithread score of 36239 and the data compression score of 436066 suggest strong performance in file archiving, backup utilities, and data pipeline processing.

The GPU side is less defined. The RTX 5000 Embedded Ada Generation X2 features the AD103 chip on TSMC's 5 nm process, with 45,900 million transistors on a 379 mm² die. The dual configuration doubles the 16 GB GDDR6 memory to 32 GB total, but the 50th percentile ranking indicates these are not top-tier gaming or rendering GPUs. The absence of measured FPS data means no direct game performance can be cited, but the GPU specifications suggest capability in compute workloads rather than high-refresh gaming.

The combined picture is a system that computes exceptionally well but renders graphics modestly. The 70th percentile combined score reflects a machine where CPU-bound tasks will perform at near-top-tier levels, while GPU-bound tasks will land in the mid-range. This is not a balanced gaming rig—it is a specialized compute platform where the CPU does the heavy lifting and the GPUs provide supplementary processing or display capabilities.

Balance and Bottleneck

The performance asymmetry between the CPU and GPUs creates a clear bottleneck structure. The CPU's 90th percentile ranking versus the GPU's 50th percentile means that in any workload that is primarily GPU-bound—such as gaming, real-time graphics, or GPU-accelerated rendering—the dual RTX 5000 Embedded GPUs will limit overall performance. The CPU will sit idle waiting for the GPUs to complete their work, leaving significant processing headroom unused.

Conversely, in CPU-bound workloads—data compression, encryption, physics simulation, or multi-threaded compute—the GPUs are not the limiting factor. The CPU's 24 cores and 32 threads will drive performance, and the GPUs' mid-range capabilities are sufficient for basic display output or minimal acceleration. The PassMark data compression score of 436066 and integer math score of 138149 indicate that the CPU can saturate its own capabilities, with the GPUs playing a peripheral role.

FPS scaling is estimated from the 50th percentile GPU ranking. In gaming scenarios, the dual GPUs would likely deliver playable frame rates at 1080p or 1440p with moderate settings, but the 50th percentile places them below the 75th percentile threshold typically associated with high-refresh gaming. The CPU's high single-core performance (Cinebench R23 singlecore 4348) would not be the bottleneck in gaming; the GPUs would cap frame rates well before the CPU's performance limit is reached.

In compute workloads, the bottleneck is the GPU's raw throughput. The RTX 5000 Embedded Ada Generation has an FP32 performance of 32.69 TFLOPS per GPU, which is respectable but not exceptional. The dual configuration doubles this to 65.38 TFLOPS, but the 50th percentile ranking suggests the memory bandwidth of 576.0 GB/s per GPU and the 1680 MHz boost clock limit performance in memory-intensive GPU tasks. The CPU's 36 MB of L3 cache and 5.50 GHz boost clock are not the constraint in these scenarios.

The practical bottleneck for this system is the GPU. For users who need CPU compute, the 14900T delivers. For users who need GPU compute or graphics, the dual RTX 5000 Embedded GPUs will underperform relative to the CPU's capabilities, making the system feel unbalanced in mixed workloads.

FAQ

Q: What is the CPU's multi-threaded performance relative to its nearest rivals?

A: The Core i9-14900T scores 30803 in Cinebench R23 multicore, with an average benchmark score of 51015. It is 0.5% ahead of the Intel Core i7-13850HX, 0.6% ahead of the AMD Ryzen 9 5900XT, and 1.1% ahead of the AMD Ryzen AI 9 HX PRO 370, while trailing the Intel Core Ultra 9 285T by 0.6%.

Q: How does the GPU's performance percentile compare to the CPU's?

A: The CPU sits in the 90th percentile of all CPUs, while the dual RTX 5000 Embedded Ada GPUs sit in the 50th percentile of all GPUs. The combined system percentile is 70, reflecting the CPU's dominance in overall system performance.

Q: What is the memory configuration of the GPU?

A: Each RTX 5000 Embedded Ada GPU has 16 GB of GDDR6 memory on a 256-bit bus, with 576.0 GB/s bandwidth per GPU. The dual configuration provides a total of 32 GB of VRAM.

Q: Does the CPU support ECC memory?

A: Yes, the Intel Core i9-14900T supports ECC memory, and it supports both DDR4 and DDR5 memory types in a dual-channel configuration.

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

A: The CPU has a base clock of 1.10 GHz and a boost clock of 5.50 GHz, with a TDP of 35W. This low TDP is notable for a 24-core processor.

Q: Are there any measured FPS results for this system?

A: No, there are no measured FPS rows for this exact combination. All FPS discussion is estimated from the benchmark scores.

Q: What is the GPU's architecture and process node?

A: The GPU uses the Ada Lovelace architecture on TSMC's 5 nm process, with the AD103 chip containing 45,900 million transistors on a 379 mm² die.

Usage Scenarios

High-refresh gaming: The dual RTX 5000 Embedded GPUs, with a 50th percentile ranking, are not suited for high-refresh gaming. The CPU's single-core performance of 4348 in Cinebench R23 would not bottleneck, but the GPUs' mid-range positioning means frame rates would cap well below what the CPU could support at 144Hz or 240Hz.

Streaming: The CPU's 24 cores and 32 threads provide ample headroom for software encoding while gaming, with Cinebench R23 multicore score of 30803 ensuring the CPU can handle simultaneous game and encode workloads. However, the GPUs' 50th percentile ranking limits the gaming side of the stream.

Video editing: Timeline scrubbing and effects rendering benefit from the CPU's 90th percentile performance, with PassMark multithread score of 36239 handling multi-track timelines. GPU acceleration for effects would be mid-range, but the CPU's compute strength covers most editing tasks.

3D rendering: CPU-based rendering will excel, with Cinebench R20 multicore score of 12937 and R23 score of 30803 delivering fast ray-tracing in CPU-rendered scenes. GPU rendering would be slower, as the dual RTX 5000 Embedded GPUs' 32.69 TFLOPS FP32 each is modest compared to desktop rendering GPUs.

Software development: Compilation and build processes are heavily multi-threaded, and the CPU's 90th percentile ranking with 24 cores and 32 threads will reduce build times significantly. The PassMark integer math score of 138149 supports rapid code compilation, while the GPUs are irrelevant for most development tasks.

Student and office work: The CPU's single-thread performance of 4016 in PassMark single-thread ensures snappy application responsiveness, and the 35W TDP means efficient operation. The dual GPUs are overkill for office tasks, but the system's compute power handles any academic workload.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation X2 is a dual-GPU configuration using the AD103 chip built on TSMC's 5 nm process. Each GPU contains 45,900 million transistors on a 379 mm² die, with a transistor density of 121.1M per mm². The base clock is 930 MHz and boost clock is 1680 MHz, with memory running at 2250 MHz (18 Gbps effective). Each GPU has 16 GB of GDDR6 memory on a 256-bit bus, delivering 576.0 GB/s bandwidth. The dual configuration totals 32 GB of VRAM and 1152.0 GB/s aggregate bandwidth.

The GPU architecture is Ada Lovelace, with 9728 shading units, 304 texture mapping units, and 112 raster output pipelines per GPU. Ray tracing is handled by 76 RT cores, and AI workloads by 304 tensor cores per GPU. The pixel rate is 188.2 GPixel/s and texture rate is 510.7 GTexel/s per GPU. FP32 performance is 32.69 TFLOPS per GPU, with FP16 at the same 32.69 TFLOPS (1:1 ratio). The TDP is 150W per GPU, and the power connectors are listed as none, indicating the embedded design draws power from the host board. The bus interface is PCIe 4.0 x16.

The 50th percentile ranking for this GPU reflects its mid-range positioning. The AD103 chip is a scaled-down version of the top-tier AD102, and the 1680 MHz boost clock is conservative to fit the 150W TDP. The 16 GB VRAM and 576.0 GB/s bandwidth are adequate for 1440p gaming or mid-range rendering, but the 32.69 TFLOPS FP32 places it below high-end desktop GPUs. The lack of benchmark data means the 50th percentile is derived from specifications rather than measured performance, making the ranking an estimate.

For rendering workloads, the dual GPUs provide 65.38 TFLOPS of FP32 compute, which is respectable for GPU-accelerated rendering in applications like Blender or Octane. The 76 RT cores per GPU enable hardware ray tracing, but performance will be mid-range. The 32 GB total VRAM is useful for large scenes or models that exceed single-GPU memory limits, though the 576.0 GB/s per-GPU bandwidth may become a bottleneck for texture-heavy workloads. The tensor cores support DLSS and AI-based features, but the 50th percentile ranking suggests these features will not deliver top-tier results.

Who Should Build It

This system targets users who need massive CPU compute with supplementary GPU capability. The Intel Core i9-14900T's 90th percentile ranking makes it a strong choice for developers compiling large codebases, researchers running simulations, and analysts processing large datasets. The PassMark data compression score of 436066 and encryption score of 27062 indicate suitability for database management and secure data handling. Gamers at 1080p or 1440p with moderate settings might find the dual GPUs acceptable, but the 50th percentile ranking means high-refresh gaming is not this system's purpose.

Content creators who rely on CPU-based rendering—such as 3D artists using CPU renderers or video editors using software encoding—will benefit from the 24 cores and 32 threads. The Cinebench R23 multicore score of 30803 ensures fast render times, and the low 35W TDP allows for compact workstation builds. Software developers will appreciate the integer math score of 138149 for rapid builds and the single-thread score of 4016 for responsive IDEs. Students and small business workstations can leverage the CPU's efficiency for everyday tasks, though the dual GPUs add cost and complexity without corresponding benefits for office workloads.

The system is less suited for gamers chasing high frame rates or GPU-accelerated rendering professionals who need top-tier GPU performance. The 50th percentile GPU ranking is the limiting factor, and users in those fields should seek a balanced system with a higher-ranked GPU. For CPU-bound professionals, however, this build offers near-top-tier performance in a thermally efficient package.

Build Overview

This is a desktop build combining the Intel Core i9-14900T with dual NVIDIA RTX 5000 Embedded Ada Generation X2 GPUs. The CPU is a 24-core, 32-thread processor from the Core 14th Gen series, based on Raptor Lake architecture with a 10 nm process. The GPU is an embedded mobile-class part in a dual configuration, using Ada Lovelace architecture on TSMC's 5 nm process. The combined percentile is 70, driven primarily by the CPU's 90th percentile ranking, while the GPUs sit at the 50th percentile.

The system is a CPU-first compute platform. The 14900T's 30803 Cinebench R23 multicore score and 51015 average benchmark score place it among the top 10% of all CPUs, making it suitable for heavily-threaded workloads. The dual GPUs add 32 GB of VRAM and 65.38 TFLOPS of FP32 compute, but their 50th percentile ranking means they are mid-pack performers. The build class is desktop, and the overall tier is upper-mid-range, with the CPU providing top-tier compute and the GPUs providing adequate but not exceptional graphics and compute acceleration.

Upgrade Path and Platform

The Intel Core i9-14900T uses the Intel Socket 1700 platform, which supports both DDR4 and DDR5 memory in a dual-channel configuration. The CPU provides 16 PCIe Gen 5 lanes, while the GPUs use PCIe 4.0 x16 interfaces. The socket 1700 platform is the last for Core 14th Gen processors, so future CPU upgrades would require a new motherboard with a different socket. The CPU's TDP is 35W, and the GPUs have a TDP of 150W each, totaling 335W for the core components, but no suggested PSU is listed for this configuration.

Memory support for both DDR4 and DDR5 gives builders flexibility, but the dual-channel bus limits memory bandwidth compared to high-end workstation platforms. The CPU's ECC memory support is a key feature for workstations requiring data integrity. The PCIe Gen 5 lanes from the CPU can be used for high-speed storage, while the GPUs operate on PCIe 4.0.

A sensible next upgrade would be a newer-generation CPU with higher multi-threaded performance, as the 14900T's 90th percentile ranking has limited headroom. For GPU-bound workloads, replacing the dual RTX 5000 Embedded GPUs with a single higher-ranked GPU would improve graphics performance, as the 50th percentile ranking is the system's weakest point. Alternatively, adding more memory or faster storage would benefit the CPU's compute tasks, given the 36 MB L3 cache and 32 threads. The platform's DDR5 support allows for high-bandwidth memory upgrades, and the PCIe Gen 5 lanes support next-generation NVMe drives. The 35W CPU TDP means the motherboard and cooling requirements are modest, leaving room for other components.