SYSTEM ANALYZER

Rate My PC: Intel Core Ultra 7 165HL + 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 Ultra 7 165HL

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 Ultra 7 165HL and NVIDIA RTX 5000 Ada Generation form a desktop pairing that sits in the 74th combined percentile across all CPU-GPU combinations. The CPU lands at the 50th percentile among all processors, while the GPU is a top-tier part at the 98th percentile among all graphics cards. This is a workstation-class build where the graphics card dominates the performance envelope, and the processor provides competent, efficient support rather than headline-grabbing speed. The data shows a system designed for compute-heavy professional work, not necessarily for squeezing every last frame in gaming, though the GPU’s raw power carries that workload too.

CPU Analysis

The Intel Core Ultra 7 165HL is a 16-core, 22-thread processor built on the Meteor Lake architecture, specifically the Meteor Lake-PS variant. It belongs to the Core Ultra Series 1 generation and is manufactured on Intel’s 7 nm process node. The base clock sits at 1.40 GHz, with a boost clock of 5.00 GHz. This wide clock range indicates a chip that can idle efficiently but ramp up aggressively when a single or few threads need maximum speed. The 45 W TDP classifies it as a low-power desktop part, which is notable given its core count.

The cache hierarchy is substantial: 112 KB of L1 per core, 2 MB of L2 per core, and 24 MB of shared L3 cache. That L3 pool is shared across the entire chip, which helps with multi-threaded workloads that access common data. The memory controller supports DDR5, with dual-channel configuration and a bandwidth of 89.6 GB/s. ECC memory is not supported, which may matter for certain workstation users who require error correction for long compute jobs. The CPU provides PCIe Gen 4 with 8 lanes from the processor itself, which is a limiting factor for multi-GPU setups or high-bandwidth storage arrays, but sufficient for a single GPU plus a couple of NVMe drives.

The integrated graphics are Arc Xe-LPG with 128 execution units. This is not a negligible iGPU; it can handle basic display output and light acceleration tasks, but it is not a gaming or rendering solution on its own. The CPU’s benchmark score is listed as zero, and it has no nearest rivals in the data, meaning its individual performance metrics are not quantified in this dataset. However, its percentile ranking of 50 against all CPUs places it exactly in the middle of the pack—a competent mainstream processor, not a high-end enthusiast chip. The 22 threads suggest strong multi-threading for its class, but the 45 W TDP and 1.40 GHz base clock indicate that sustained all-core loads will run at lower frequencies compared to higher-TDP desktop parts.

For real workloads, this CPU will handle compilation, office multitasking, and moderate rendering tasks without strain. The 5.00 GHz boost clock ensures snappy single-threaded response in applications like spreadsheets or web browsing. However, for heavy 3D rendering or video encoding that scales across many cores, the 45 W TDP may limit sustained performance compared to a 125 W+ desktop chip. The dual-channel memory and 89.6 GB/s bandwidth are adequate for most tasks but not exceptional; high-end desktop processors often exceed 100 GB/s. The lack of ECC support means this is not aimed at mission-critical data integrity workloads, though for general workstation use that is rarely a dealbreaker.

The launch MSRP is $459, which positions it as a mid-range desktop processor. The multiplier is not unlocked, so overclocking is off the table. The socket is Intel Socket 1851, a platform designed for this generation. The production status is active, and the release date is April 2024, making it a current-generation part. Overall, the CPU analysis points to a balanced, efficient processor that prioritizes power efficiency over raw throughput, which pairs logically with a high-end GPU that will do the heavy lifting.

Benchmark Performance

The GPU, an NVIDIA RTX 5000 Ada Generation, is the star of this build. It scores 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan. The average benchmark score across these two tests is 184,664. This places the GPU at the 98th percentile among all graphics cards—essentially top-tier. Its nearest rivals include the NVIDIA A100 SXM4 80 GB (average score 183,725, a delta of only 0.5% slower), the NVIDIA A100 SXM4 40 GB (average score 187,147, meaning the RTX 5000 is 1.3% slower), the NVIDIA RTX PRO 5000 Blackwell (average score 182,109, so the RTX 5000 is 1.4% faster), and the NVIDIA GeForce RTX 4090 D (average score 178,050, making the RTX 5000 3.7% faster). These deltas are tiny—the RTX 5000 sits in a performance cluster where a 4% swing separates it from the nearest competition.

The RTX 5000 Ada Generation is built on the AD102 chip using TSMC’s 5 nm process, with 76,300 million transistors on a 609 mm² die. It has 12,800 shading units, 400 texture mapping units, and 176 raster output units. Ray tracing is handled by 100 dedicated RT cores, and AI acceleration by 400 tensor cores. The boost clock is 2550 MHz, and the memory is 32 GB of GDDR6 on a 256-bit bus, delivering 576.0 GB/s of bandwidth. The pixel rate is 448.8 GPixel/s, and the texture rate is 1,020.0 GTexel/s. FP32 performance is 65.28 TFLOPS, with FP16 at the same rate (1:1). This is a compute monster, designed for rendering, simulation, and AI workloads.

The CPU has no benchmark scores in the dataset, so the combined picture relies entirely on the GPU’s dominance. The 74th combined percentile for the pairing reflects that the GPU drags the overall score upward, while the CPU keeps it from reaching the top echelon. In a system where the GPU is 98th percentile and the CPU is 50th percentile, the combined rank is mathematically somewhere in between, weighted by how much each component contributes to typical workloads. For GPU-bound tasks like rendering or deep learning inference, this pairing will perform near the top of the charts. For CPU-bound tasks like single-threaded database queries, it will be average. The data shows a lopsided build where the GPU is the clear performance driver.

Balance and Bottleneck

The balance here is heavily skewed toward the GPU. With the CPU at the 50th percentile and the GPU at the 98th percentile, the processor is the limiting factor in any workload that requires significant CPU involvement. In gaming, for example, the CPU must feed the GPU with draw calls and physics calculations. A 50th-percentile CPU will bottleneck a 98th-percentile GPU in CPU-intensive scenes, especially at lower resolutions where the GPU can render frames faster than the CPU can supply them. At higher resolutions, the GPU becomes the bottleneck because pixel fill and shading demands increase, giving the CPU more breathing room.

The FPS scaling evidence is absent from the dataset—there are no measured FPS rows for this combination. However, based on the percentile gap, the bottleneck analysis is clear: in 1080p or 1440p gaming, the CPU will likely limit frame rates in titles with heavy single-threaded logic, such as strategy games or simulators. In 4K gaming, the GPU will dominate, and the CPU’s mid-pack performance will be less of a constraint. For professional workloads like 3D rendering, the GPU is the workhorse, and the CPU’s role is to prepare geometry and manage data flow. The 22 threads help with that preparation, but the 45 W TDP means sustained CPU load will not match a high-end desktop chip.

The memory bandwidth of 89.6 GB/s on the CPU side and 576.0 GB/s on the GPU side further illustrates the imbalance. The GPU has 6.4 times the memory bandwidth of the CPU. In workloads that stream large datasets, the GPU will not wait on the CPU for data transfer because the PCIe Gen 4 x16 interface (for the GPU) and Gen 4 x8 (for the CPU) provide adequate bandwidth for most tasks. The CPU’s 8 PCIe lanes could bottleneck if multiple high-speed devices are attached, but for a single GPU plus standard storage, it is sufficient. The data suggests that this is a GPU-first system; users should expect CPU-bound limitations in light-threaded tasks and GPU-bound performance in heavy parallel workloads.

Who Should Build It

This pairing targets professionals who need massive GPU compute power and do not require top-tier CPU performance. Content creators working with 4K or 8K video editing will benefit from the GPU’s 32 GB of memory and 65.28 TFLOPS of FP32 performance, which accelerates effects, color grading, and export times. 3D artists using renderers like Octane or Redshift will see near-best-in-class GPU rendering speeds, as the RTX 5000 sits within 1.3% of the A100 SXM4 40 GB and faster than the RTX 4090 D by 3.7%. Software developers working on machine learning models can leverage the 400 tensor cores and 32 GB VRAM for training and inference, though the CPU’s mid-pack performance means data preprocessing may be slower.

Gamers at 4K resolution will find this build capable, because the GPU is top-tier and the CPU’s bottleneck diminishes as resolution increases. However, gamers at 1080p or 1440p who prioritize high frame rates in CPU-heavy titles will be disappointed by the 50th-percentile processor. Students and small business workstations that run office suites, web applications, and light coding will find the system overkill, but the 45 W TDP CPU means it runs cool and quiet, which is a plus for an office environment. The lack of ECC memory support excludes this from mission-critical scientific computing, but for most engineering and creative work, that is acceptable.

Gaming Performance

The dataset contains no measured FPS rows for this exact CPU-GPU combination. Therefore, all frame rate figures discussed here are estimates derived from the benchmark scores and should be treated as approximate. The GPU’s 98th-percentile ranking and its 3.7% advantage over the GeForce RTX 4090 D in average benchmarks suggest it will deliver extremely high frame rates in most titles. The 32 GB of GDDR6 memory ensures that even the most texture-heavy games at 4K will not run out of video memory.

At 1080p, the CPU’s 50th-percentile status will likely limit frame rates in esports titles like Counter-Strike or Valorant, where high CPU frequencies matter. The 5.00 GHz boost clock helps, but the mid-pack core performance will cap FPS below what the GPU could theoretically produce. At 1440p, the GPU becomes more of a factor, and frame rates will be high, though still CPU-limited in some scenarios. At 4K, the GPU is the clear bottleneck, and the system should deliver excellent performance in demanding AAA titles, likely exceeding 60 FPS in most games with ultra settings, given the GPU’s compute power. However, without measured data, these are estimates. The GPU’s support for DirectX 12 Ultimate and Vulkan 1.4 means modern game APIs are fully supported, and ray tracing performance should be strong given the 100 RT cores.

Upgrade Path and Platform

The CPU uses Intel Socket 1851, a platform specific to the Core Ultra Series 1. The motherboard must support DDR5 memory, as specified by the CPU’s memory support. The CPU provides PCIe Gen 4 with 8 lanes, while the GPU uses PCIe 4.0 x16, so the motherboard needs at least one full x16 slot. The GPU’s suggested PSU is 600 W, and the CPU’s TDP is 45 W, meaning the total system power draw is modest for a high-end GPU—the 600 W recommendation accounts for the rest of the system, but a quality 650 W or 750 W PSU would provide headroom for future upgrades. The GPU uses a single 16-pin power connector, so the PSU must have that cable.

A sensible next upgrade would be a higher-end CPU on the same socket, if Intel releases one with more cores or higher clocks within the Core Ultra Series 1 family. However, the 45 W TDP class suggests this socket targets efficiency, not extreme performance. Alternatively, adding more DDR5 memory or faster NVMe storage would benefit workloads that are memory or storage bound. The GPU is already near the top of its class, so upgrading it would yield negligible gains—the nearest rivals are within 4% of its performance. The platform’s main limitation is the CPU’s 8 PCIe lanes, which could bottleneck future high-bandwidth devices like dual GPUs or multiple Gen 4 NVMe drives in RAID.

Usage Scenarios

High-refresh gaming: At 1080p or 1440p with a 240 Hz monitor, this build will struggle to maintain maximum frame rates in CPU-heavy titles due to the 50th-percentile CPU. At 4K with a 144 Hz monitor, the GPU’s top-tier performance will deliver high frame rates, but the CPU may still cause dips in scenes with many objects or physics calculations.

Streaming: The GPU’s NVENC encoder (implied by the Ada Lovelace architecture, though not explicitly listed) would offload encoding from the CPU, but the CPU’s 22 threads can handle streaming plus gaming simultaneously. The 45 W TDP means the CPU runs cool, so thermal throttling is unlikely during extended streaming sessions.

Video editing: The GPU’s 65.28 TFLOPS and 32 GB VRAM accelerate effects, timeline scrubbing, and export. The CPU’s mid-pack performance will handle 4K timeline previews, but 8K editing may lag without a faster processor. The 89.6 GB/s CPU memory bandwidth is sufficient for ProRes or similar codecs.

3D rendering: This is the strongest scenario. The GPU outperforms the RTX 4090 D by 3.7% and matches the A100 SXM4 80 GB within 0.5%, making it ideal for GPU-accelerated renderers. The 32 GB VRAM allows scenes that exceed typical desktop GPU memory limits.

Software development: The 22 threads and 5.00 GHz boost clock speed up compilation of large codebases. The mid-pack overall CPU performance means compile times will be average, but the GPU accelerates tasks like testing CUDA kernels or running local ML models.

Student and office work: This build is overkill for word processing, spreadsheets, and web browsing. The CPU’s efficiency (45 W TDP) keeps power draw low, and the integrated Arc Xe-LPG graphics can drive multiple displays without the discrete GPU, reducing idle power consumption.

Build Overview

This is a desktop-class build pairing the Intel Core Ultra 7 165HL with the NVIDIA RTX 5000 Ada Generation. The GPU is a workstation-grade part with 32 GB of GDDR6 memory, 12,800 shading units, and a 98th-percentile ranking among all GPUs. The CPU is a mid-range desktop processor at the 50th percentile, with 16 cores and 22 threads designed for efficiency. The combined percentile of 74 places this system in the upper-middle tier of all desktop builds, but the GPU alone is in the top 2% of all graphics cards. This is a specialized workstation where the GPU does the heavy lifting, and the CPU provides adequate support without being a performance leader. The system is best suited for GPU-accelerated professional workloads like rendering, simulation, and AI, rather than for tasks that demand top-tier CPU performance.

FAQ

Q: What is the CPU’s core and thread count?

A: The Intel Core Ultra 7 165HL has 16 cores and 22 threads, with a base clock of 1.40 GHz and a boost clock of 5.00 GHz.

Q: How does the RTX 5000 Ada Generation compare to the RTX 4090 D?

A: The RTX 5000 Ada Generation has an average benchmark score of 184,664, which is 3.7% higher than the GeForce RTX 4090 D’s average score of 178,050.

Q: What memory does the GPU have, and what is its bandwidth?

A: The GPU has 32 GB of GDDR6 memory on a 256-bit bus, providing 576.0 GB/s of bandwidth.

Q: Is ECC memory supported by the CPU?

A: No, the Intel Core Ultra 7 165HL does not support ECC memory.

Q: What is the GPU’s percentile rank among all GPUs?

A: The NVIDIA RTX 5000 Ada Generation is at the 98th percentile among all GPUs, with an average benchmark score of 184,664.

Q: What socket does the CPU use?

A: The CPU uses Intel Socket 1851, and it supports DDR5 memory with dual-channel configuration.

Q: Are there measured FPS data for this CPU-GPU combination?

A: No, the dataset contains no measured FPS rows for this exact combination, so all frame rate discussions are estimates based on benchmark scores.