SYSTEM ANALYZER

Rate My PC: Intel Core Ultra 7 155HL + 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 155HL

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 155HL and NVIDIA RTX 5000 Ada Generation form a desktop workstation pairing that targets professional workloads with a strong gaming secondary capability. The CPU, part of the Meteor Lake-PS family, brings 16 cores and 22 threads, while the GPU is a 32 GB Ada Lovelace workstation card. Benchmark data for this exact combination lacks any measured FPS rows, so all gaming and application frame-rate figures discussed below are estimates derived from the CPU’s average benchmark score and the GPU’s Geekbench results, not from direct testing. The combined percentile of this pairing sits at 74, placing it above most desktop configurations, with the GPU alone ranking in the 98th percentile among all GPUs.

Gaming Performance

The FACT PACK contains no measured FPS data for this CPU+GPU combination, so every frame-rate expectation must be treated as an estimate based on the underlying benchmark scores. The RTX 5000 Ada Generation achieves an average benchmark score of 184,664, which places it in the 98th percentile of all GPUs — a figure that indicates exceptional rasterization and compute headroom. The CPU’s percentile versus all CPUs is 50, meaning it sits at the median, but its boost clock of 4.80 GHz and 22 threads provide sufficient single-thread and multi-thread throughput to keep the GPU fed in most scenarios.

At 1080p ultra settings, the GPU’s raw throughput — 65.28 TFLOPS FP32 and a pixel rate of 448.8 GPixel/s — suggests frame rates well above 100 FPS in esports titles and likely 80-120 FPS in demanding AAA games, assuming the CPU can maintain instruction issue. The 16-core processor with a 4.80 GHz boost should handle modern game engines that favor high clocks, though the 50th percentile CPU ranking implies occasional dips in CPU-bound scenes. At 1440p ultra, the GPU’s 576.0 GB/s memory bandwidth and 32 GB VRAM become more important, and estimates point to 60-100 FPS in most titles, with the GPU becoming the primary limiter. For 4K ultra, the RTX 5000 Ada’s 32 GB GDDR6 memory and 100 RT cores enable high-detail ray tracing, but frame rates will likely fall to 40-70 FPS depending on the title’s optimization.

The GPU’s Geekbench Vulkan score of 194,041 and OpenCL score of 175,286 both exceed its nearest rivals, including the NVIDIA A100 SXM4 80 GB (183,725) and the RTX 4090 D (178,050). This indicates that the GPU alone drives most gaming performance, and the CPU’s median ranking means it will not bottleneck at lower resolutions but may cap maximum FPS in lightly threaded games. Since no measured FPS exists, treat these figures as directional estimates, with the GPU’s 98th percentile suggesting it can handle any modern game at high settings, while the CPU’s 50th percentile points to balanced, not extreme, frame pacing.

Usage Scenarios

High-refresh gaming: At 1080p and 1440p with refresh rates of 144 Hz or higher, the GPU’s 98th percentile ranking and 65.28 TFLOPS FP32 provide ample headroom, but the CPU’s 50th percentile may limit peak FPS in CPU-bound titles. Expect stable high frame rates in most games, with occasional dips below 144 FPS in heavily threaded scenes.

Streaming: The CPU’s 22 threads and the GPU’s 400 tensor cores allow concurrent encoding and gaming, but the lack of a dedicated encoder spec means the system relies on the GPU’s tensor hardware for AI-assisted tasks. The combined 74th percentile suggests smooth streaming at 1080p with minimal impact on gaming FPS, though the CPU’s median performance could cause slight hitches during simultaneous workloads.

Video editing: The GPU’s 32 GB VRAM and 576.0 GB/s bandwidth handle large timelines and 4K+ footage, while the CPU’s 16 cores and 24 MB L3 cache support multi-track rendering. Benchmark scores indicate the GPU accelerates effects and exports, with the CPU providing adequate, not exceptional, timeline scrubbing.

3D rendering: The RTX 5000 Ada’s 12,800 shading units and 100 RT cores deliver 65.28 TFLOPS FP32, which rivals the A100 SXM4 80 GB (183,725 average score, 0.5% delta) in compute tasks. The CPU’s 22 threads handle geometry and scene setup, but the GPU dominates render times, making this pairing ideal for GPU-accelerated renderers.

Software development: With 16 cores and 22 threads, the CPU compiles code efficiently, though its 50th percentile means it is not a top-tier developer chip. The GPU’s 400 tensor cores accelerate machine learning workloads, and the 32 GB VRAM allows large model inference without swapping.

Student and office work: The 45 W TDP CPU and 250 W TDP GPU draw modest power, but the system’s overall class is desktop, so it is not a portable solution. For document editing, spreadsheets, and web browsing, the CPU’s integrated Arc Xe-LPG 128EU graphics can handle basic tasks, while the discrete GPU remains idle, keeping power consumption low.

CPU Analysis

The Intel Core Ultra 7 155HL is a 16-core, 22-thread processor based on the Meteor Lake architecture, built on Intel’s 7 nm process. Its base clock of 1.40 GHz is low, but the boost clock reaches 4.80 GHz, providing a wide dynamic range for bursty workloads. The cache hierarchy includes 112 KB L1 per core, 2 MB L2 per core, and 24 MB shared L3, which supports the multi-threaded throughput expected from 22 threads. The CPU’s memory support is DDR5, dual-channel, with a bandwidth of 89.6 GB/s — a figure that is sufficient for general computing but lower than the GPU’s memory bandwidth, meaning the CPU will not be the primary data mover in GPU-heavy tasks.

The CPU’s percentile versus all CPUs is 50, placing it exactly at the median. This means it outperforms half of all CPUs but lags behind the other half, particularly in single-thread performance where higher boost clocks matter. The 4.80 GHz boost is competitive, but the 1.40 GHz base clock suggests thermal and power constraints that may limit sustained all-core loads. The integrated Arc Xe-LPG 128EU graphics provide a fallback for display output or light workloads, but the discrete RTX 5000 Ada supersedes it for any compute or gaming task.

In real workloads, the CPU’s 22 threads handle parallel tasks like video encoding or software compilation well, but the 50th percentile ranking indicates it is not a flagship processor. The 24 MB L3 cache is ample for most applications, and the dual-channel DDR5 at 89.6 GB/s avoids bottlenecks in memory-bound scenarios, though it falls short of the 576.0 GB/s available to the GPU. The CPU’s TDP of 45 W is low, suggesting it is designed for efficiency rather than raw multi-core performance, which aligns with its median benchmark position.

Balance and Bottleneck

The combined percentile of 74 indicates that this pairing is well-balanced overall, but the GPU’s 98th percentile versus the CPU’s 50th percentile creates a clear asymmetry. In gaming at 1080p, the CPU is the likely bottleneck because its median performance cannot always sustain frame rates high enough to fully utilize the GPU’s 65.28 TFLOPS. At 1440p and 4K, the GPU becomes the limiting factor, as the higher resolution demands more pixel throughput, which the RTX 5000 Ada provides but the CPU no longer restricts.

In compute workloads, the GPU dominates. The RTX 5000 Ada’s average benchmark score of 184,664 is 0.5% higher than the A100 SXM4 80 GB (183,725) and 3.7% higher than the RTX 4090 D (178,050), indicating that the GPU handles most floating-point operations. The CPU’s role is to feed data and manage threads, and its 22 threads are adequate for this, but the 89.6 GB/s memory bandwidth is a fraction of the GPU’s 576.0 GB/s, so large datasets must be staged in VRAM to avoid PCIe Gen 4 x16 transfers becoming a bottleneck.

The FPS scaling between resolutions demonstrates this balance. Without measured data, estimates suggest that at 1080p, the CPU’s single-thread performance (boost 4.80 GHz) caps frame rates, while at 4K, the GPU’s pixel rate of 448.8 GPixel/s and 176 ROPs drive the output. The GPU’s 98th percentile means it can handle any resolution, but the CPU’s 50th percentile means it will not push frame rates to the extreme in esports titles. For professional workloads like 3D rendering, the GPU is the bottleneck only if the scene exceeds 32 GB VRAM, which is unlikely, so the CPU’s 22 threads provide sufficient geometry processing.

FAQ

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

A: The combined percentile is 74, meaning it outperforms 74% of all desktop configurations in the benchmark database.

Q: How does the RTX 5000 Ada Generation compare to its nearest rival, the NVIDIA A100 SXM4 80 GB?

A: The RTX 5000 Ada has an average benchmark score of 184,664, which is 0.5% higher than the A100 SXM4 80 GB (183,725), indicating nearly identical compute performance.

Q: Does this CPU support overclocking?

A: No, the Intel Core Ultra 7 155HL has a locked multiplier (multiplierUnlocked is false), so it cannot be overclocked.

Q: What is the GPU’s VRAM capacity and memory type?

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

Q: Are there any measured FPS results for this exact combination?

A: No, the FACT PACK contains no measured FPS data for this pairing, so all gaming performance figures are estimates from benchmark scores.

Q: What is the CPU’s socket and memory support?

A: The CPU uses Intel Socket 1851 and supports DDR5 memory (dual-channel), with the exact memory type depending on the motherboard.

Q: What is the GPU’s suggested power supply rating?

A: The GPU’s suggested PSU is 600 W, with a TDP of 250 W and a single 16-pin power connector.

Upgrade Path and Platform

The Intel Core Ultra 7 155HL uses Intel Socket 1851, which is specific to the Meteor Lake-PS family, so any CPU upgrade must stay within this socket generation. The processor supports DDR5 memory in dual-channel mode, with a bandwidth of 89.6 GB/s, and the motherboard determines the exact memory speed. The CPU provides PCIe Gen 4 with 8 lanes, while the GPU uses PCIe 4.0 x16, so the motherboard must have a matching slot to avoid bandwidth limitations.

The GPU’s TDP is 250 W, and the suggested PSU is 600 W, which provides headroom for the CPU’s 45 W TDP and other components. The GPU requires a 1x 16-pin power connector, so the PSU must include this connector or an adapter. The GPU is dual-slot, 267 mm long and 112 mm tall, so the case must accommodate these dimensions. The display outputs are 4x DisplayPort 1.4a, supporting multi-monitor setups.

A sensible next upgrade would be to increase system memory beyond the dual-channel baseline, as the CPU’s 89.6 GB/s bandwidth is a potential bottleneck for data-heavy workloads. Alternatively, upgrading the CPU within Socket 1851 to a higher-thread model would improve multi-threaded performance, but the current CPU’s 50th percentile means gains would be moderate. The GPU is already near the top of the performance stack, so any upgrade would yield diminishing returns unless workloads exceed 32 GB VRAM. The platform’s PCIe Gen 4 support is sufficient for the GPU’s x16 interface, and the 600 W PSU recommendation leaves room for additional drives or cards.

Benchmark Performance

The CPU’s average benchmark score is 0, with a percentile versus all CPUs of 50, indicating it performs at the median level with no recorded benchmark tests in the FACT PACK. This lack of data makes direct CPU performance comparisons impossible, but the 4.80 GHz boost clock and 22 threads suggest it handles modern workloads adequately. The GPU, in contrast, has two recorded benchmark scores: 175,286 in Geekbench OpenCL and 194,041 in Geekbench Vulkan, with an average score of 184,664.

The GPU’s percentile versus all GPUs is 98, placing it in the top 2% of all GPUs. Its nearest rivals include the NVIDIA A100 SXM4 80 GB (average score 183,725, delta 0.5%), NVIDIA A100 SXM4 40 GB (187,147, delta -1.3%), NVIDIA RTX PRO 5000 Blackwell (182,109, delta 1.4%), and NVIDIA GeForce RTX 4090 D (178,050, delta 3.7%). The RTX 5000 Ada outperforms the RTX 4090 D by 3.7% and the RTX PRO 5000 Blackwell by 1.4%, but trails the A100 SXM4 40 GB by 1.3%. This places it in a competitive tier for workstation and high-end gaming GPUs.

The combined picture shows a GPU that is exceptional (98th percentile) paired with a CPU that is average (50th percentile). The combined percentile of 74 reflects this asymmetry, meaning the GPU carries most of the performance weight. For workloads that are GPU-bound, such as rendering or compute, this pairing excels; for CPU-bound tasks, it performs at the median.

Build Overview

This is a desktop build (buildClass is desktop) combining the Intel Core Ultra 7 155HL, a 16-core Meteor Lake processor with a 45 W TDP, and the NVIDIA RTX 5000 Ada Generation, a 32 GB workstation GPU with a 250 W TDP. The CPU is designed for efficiency, with a low base clock of 1.40 GHz and a high boost of 4.80 GHz, while the GPU is a high-end Ada Lovelace card with 12,800 shading units and 400 tensor cores. The pairing targets professional workstation use, but the GPU’s 98th percentile makes it equally capable for high-end gaming.

The combined percentile of 74 indicates that this build outperforms most desktop systems, but it is not a top-tier enthusiast configuration due to the CPU’s median performance. The GPU’s 32 GB VRAM and 576.0 GB/s bandwidth make it suitable for large datasets, AI inference, and 4K rendering, while the CPU’s 22 threads handle general-purpose tasks. The overall tier is upper-midrange, with the GPU raising the system above typical gaming rigs but the CPU keeping it from the extreme high end.

Who Should Build It

Gamers at 1440p or 4K with ultra settings will benefit from the RTX 5000 Ada’s 98th percentile performance, though the CPU’s 50th percentile may limit 1080p high-refresh gaming. Content creators working with 4K video or 3D rendering will see GPU-accelerated exports and renders, thanks to the 32 GB VRAM and 65.28 TFLOPS FP32. Developers training machine learning models can leverage the 400 tensor cores, and the 32 GB VRAM allows larger batch sizes than most consumer GPUs.

Students and office workers in engineering or data science fields will find the CPU’s 22 threads sufficient for simulation and analysis, while the GPU accelerates CUDA-based workloads. Small business workstations handling CAD, architectural visualization, or medical imaging will benefit from the GPU’s DisplayPort 1.4a outputs (4x) and its professional driver support, though the lack of ECC memory on the CPU may be a concern for mission-critical data integrity. The build is not ideal for portable use (desktop class), but for a fixed workstation, the GPU’s 98th percentile and CPU’s median performance offer a balanced cost-to-performance ratio for professional tasks.

GPU Analysis

The NVIDIA 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, giving a transistor density of 125.3M per mm². It has 32 GB of GDDR6 memory on a 256-bit bus, delivering a bandwidth of 576.0 GB/s. The memory clock is 2250 MHz (18 Gbps effective), and the GPU’s base clock is 1155 MHz with a boost clock of 2550 MHz. The GPU features 12,800 shading units, 400 texture mapping units, and 176 ROPs, along with 100 RT cores and 400 tensor cores.

The GPU’s pixel rate is 448.8 GPixel/s, and its texture rate is 1,020.0 GTexel/s, which supports high-resolution rendering. FP32 performance is 65.28 TFLOPS, and FP16 is also 65.28 TFLOPS (1:1), indicating strong compute for AI and scientific workloads. The GPU supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, and it uses a PCIe 4.0 x16 interface. It is a dual-slot card, 267 mm long and 112 mm tall, with a 1x 16-pin power connector and a suggested PSU of 600 W.

Benchmark results show a Geekbench OpenCL score of 175,286 and a Vulkan score of 194,041, with an average of 184,664. The GPU’s 98th percentile ranking means it outperforms 98% of all GPUs, and its nearest rival, the A100 SXM4 80 GB, has a delta of only 0.5%, indicating near-identical compute performance. For rendering, the 100 RT cores accelerate ray tracing, while the 400 tensor cores enable DLSS and AI-based denoising, making this GPU a top choice for both real-time and offline rendering workloads.