SYSTEM ANALYZER

Rate My PC: Intel Core i7-13700K + NVIDIA RTX 5000 Embedded Ada Generation

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 i7-13700K

46,881 Benchmark Score
Top 6% Market Ranking
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GRAPHICS CARD

NVIDIA RTX 5000 Embedded Ada Generation

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

The pairing of an Intel Core i7-13700K with an NVIDIA RTX 5000 Embedded Ada Generation is an unusual configuration: a high-percentile desktop processor matched with an embedded-class professional GPU. The i7-13700K sits in the 89th percentile against all CPUs in the database, while the RTX 5000 Embedded Ada occupies the 50th percentile among GPUs, producing a combined system percentile of 70. This is a compute-rich, graphics-mid-tier desktop build. No measured frame-rate rows exist for this exact combination in the database — all FPS discussion below is estimated from the benchmark scores rather than directly measured.

Gaming Performance

To be explicit up front: the FACT PACK contains no measured FPS data for this pairing, so every frame-rate statement here is an estimate derived from the benchmark scores, not a recorded result.

What the scores permit is a qualitative frame-rate picture. The RTX 5000 Embedded Ada Generation, at the 50th percentile among all GPUs, is a mid-pack graphics solution. Its raw rendering muscle — a pixel rate of 188.2 GPixel/s, a texture rate of 510.7 GTexel/s, and FP32 throughput of 32.69 TFLOPS — places it squarely in the middle of the field. At 1080p, the GPU is likely to be the constraint in demanding titles, with the i7-13700K's strong single-thread results (a 3DMark single-thread score of 1136, a Geekbench single-core score of 2529, and a Cinebench R23 single-core score of 2116) providing far more CPU-side headroom than the embedded GPU can consume in most modern games. That mismatch means frame-rate expectations should be set by the graphics side, not the processor.

At 1440p, the gap between CPU capability and GPU throughput widens further; the i7-13700K would remain largely idle at the frame-limiting stage while the RTX 5000 Embedded Ada does all the work. At 4K, the estimate shifts almost entirely to GPU-bound territory, and the CPU's percentile advantage becomes irrelevant for gaming purposes.

Two hardware factors affect the estimate meaningfully. First, the GPU carries 76 RT cores and 304 tensor cores, so ray-traced and upscaling-enabled workloads should hold up better than raw raster numbers alone would suggest — a title using reconstruction via tensor hardware could extract notably more from this GPU than conventional rendering. Second, its 16 GB of GDDR6 and 576.0 GB/s of memory bandwidth mean VRAM capacity is not the limiting variable at any mainstream resolution. The estimated verdict: playable, high-refresh-class frame rates are plausible at 1080p and 1440p in most titles, with 4K reserved for upscaling-assisted play — but these are estimates, and measured results for this pairing would be required to confirm them.

GPU Analysis

The NVIDIA RTX 5000 Embedded Ada Generation is built on the AD103 chip, fabricated by TSMC on a 5 nm process, with 45,900 million transistors packed into a 379 mm² die — a transistor density of 121.1 million transistors per square millimetre. Architecturally it belongs to Ada Lovelace, with Ampere-MW as its predecessor and Blackwell-MW as its successor, and it is categorized in the database under the GeForce 50-series generation label.

Its specification sheet reads as a professional embedded part rather than a consumer gaming card. The base clock is 930 MHz and the boost clock is 1680 MHz — conservative figures for the architecture. Memory is 16 GB of GDDR6 on a 256-bit bus, running at 2250 MHz (18 Gbps effective), delivering 576.0 GB/s of bandwidth. That is a wide, well-fed memory subsystem that keeps the 9728 shading units, 304 TMUs, and 112 ROPs supplied. The 76 RT cores and 304 tensor cores give it genuine ray-tracing and AI-acceleration capability, and its API support — DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4 — is fully current.

For rendering workloads, the 32.69 TFLOPS of FP32 throughput (with FP16 at a 1:1 ratio, i.e., 32.69 TFLOPS) defines its compute ceiling. The benchmark picture, however, is limited: the GPU has no recorded benchmark scores in the database (avgBenchmarkScore is zero), and its percentile position — exactly 50 against all GPUs — is the primary quantitative anchor. That mid-field position means rendering throughput in viewport work, GPU compute kernels, and ray-traced previews should land at the median of the database population: neither a rendering monster nor a laggard. The board's 120 W TDP, IGP slot classification, absence of power connectors, and "Portable Device Dependent" display outputs all reinforce that this is an integrated/embedded form factor, not a desktop add-in card — an important caveat when assessing this pairing's practicality.

Benchmark Performance

The CPU side of the ledger is rich with data. The i7-13700K's headline results: a Cinebench R23 multi-core score of 30745 against a single-core score of 2116, a Cinebench R20 pair of 16292 multi-core and 2299 single-core, a Cinebench R15 pair of 4507.5 multi-core and 303 single-core, and Geekbench results of 19429 multi-core and 2529 single-core. PassMark contributes a multi-thread score of 45887, a single-thread score of 4333, and a physics score of 2716.

The 3DMark CPU scaling ladder is particularly informative: 1136 single-thread, 2262 at 2 threads, 4469 at 4 threads, 8193 at 8 threads, 10717 at 16 threads, and 12412 at maximum threads. The scaling from 8 to 16 threads (8193 to 10717) and onward to the 12412 maximum shows the hybrid 16-core, 24-thread layout continuing to add throughput well into the upper thread counts — the signature of a modern performance-core-plus-efficiency-core design, not a design that plateaus early.

Aggregated, the CPU posts an average benchmark score of 46881 and a percentile of 89 against all CPUs. Its nearest rivals cluster remarkably tightly: the AMD Ryzen 9 5900 at 46971 (a delta of -0.2 percent), the AMD Ryzen AI 9 HX PRO 375 at 47022 (-0.3 percent), the AMD Ryzen 9 7845HX at 46654 (+0.5 percent), and the Intel Xeon w3-2535 at 46653 (+0.5 percent). In plain terms, the i7-13700K is statistically inseparable from these chips on aggregate score — within half a percent either way — while sitting above roughly 89 percent of the database's CPU population.

The combined system percentile of 70 tells the story of this build in one number: an elite-tier processor dragging a median-tier GPU upward. Because the GPU carries no benchmark scores, the combined figure leans almost entirely on CPU-derived data plus the GPU's 50th-percentile placement.

Balance and Bottleneck

This is an unambiguously GPU-bottlenecked configuration for graphics workloads. The evidence is structural: a CPU at the 89th percentile paired with a GPU at the 50th, yielding a combined 70 — the arithmetic midpoint pulled down by the graphics side. In any workload where frames are produced by the GPU, the i7-13700K will wait; in any workload where frames or iterations are produced by the CPU, the RTX 5000 Embedded Ada is largely a spectator.

The 3DMark thread-scaling data makes the CPU-side surplus concrete. Single-thread throughput of 1136 and a 4-thread score of 4469 cover what most game engines still ask of a CPU at mainstream settings; the 12412 max-thread score is capacity that games will rarely touch, but which compilation, encoding, and simulation workloads will absorb fully. PassMark's granular results reinforce this: 154446 integer math, 114867 floating point math, 595292 data compression, 33249 encryption, 62670 string sorting, and 36625 extended instructions — a broad, deep throughput profile.

For rendering, the bottleneck inverts partially: the GPU's 32.69 TFLOPS and 576.0 GB/s of bandwidth handle the display and viewport load, while final renders that lean on CUDA-adjacent compute stay bounded by the embedded GPU's mid-field percentile. The practical read: this build should never be specified for graphics-heavy work; it should be specified where the 24-thread CPU is the engine and the GPU is a competent, efficient display and compute adjunct.

Usage Scenarios

High-refresh gaming. Estimated, not measured: at 1080p and 1440p the GPU's mid-pack percentile caps frame rates, but the CPU's 89th-percentile standing and strong 1-2-4-thread 3DMark results (1136 / 2262 / 4469) mean the processor will never be the reason frames drop. Competitive titles at reduced settings are the best fit; maxed-out ray-traced play at 4K is not, absent upscaling via the 304 tensor cores.

Streaming. This is a strong scenario for the build. The 12412 max-thread 3DMark score and 45887 PassMark multi-thread result leave abundant concurrent capacity for encode-plus-game or encode-plus-workload operation, and the 595292 data compression score suggests smooth handling of stream-side processing.

Video editing. Well supported. The 30745 Cinebench R23 multi-core score drives timeline scrubbing and export, while the GPU's 16 GB of GDDR6 and 576.0 GB/s bandwidth accommodate large media buffers and GPU-accelerated effects without VRAM pressure.

3D rendering. Mixed. Viewport work is comfortable given the GPU's raster rates (188.2 GPixel/s pixel, 510.7 GTexel/s texture) and its 76 RT cores; heavy final-frame rendering is bounded by the GPU's 50th-percentile placement, though the CPU's 19429 Geekbench multi-core score picks up CPU-based rendering paths effectively.

Software development. Excellent. The single-thread strength (Geekbench 2529, PassMark 4333) keeps IDE responsiveness and branchy logic fast, while the 16-core/24-thread layout compiles large codebases at a pace rivalled only within half a percent by the Ryzen 9 5900 and Ryzen 9 7845HX class — the multi-core scaling curve to 12412 confirms sustained throughput at high thread counts.

Student and office work. Overkill in the best sense. Documents, browsing, and web conferencing use a fraction of even the single-thread budget; the dual-channel DDR4/DDR5 memory support and ECC capability add stability and flexibility for academic or light-business use.

Who Should Build It

The target user is a developer, technical workstation builder, or mixed-workload professional rather than a pure gamer. Software engineers benefit most directly: the i7-13700K's 89th-percentile aggregate, its 24 threads, and its near-parity with workstation-class silicon such as the Intel Xeon w3-2535 (a delta of just 0.5 percent) make it a compilation and containerization powerhouse. Content creators doing video work fit well, given the 30745 Cinebench R23 multi-core score and the GPU's 16 GB VRAM buffer. Students and small businesses seeking a long-lived, ECC-capable, DDR4/DDR5-flexible platform get far more CPU than typical office builds provide.

Gamers are a partial fit only. Those playing at 1080p or 1440p who prioritize high frame rates in esports-style titles can use the CPU headroom, but anyone building specifically for 4K or ray-tracing-heavy AAA play will find the GPU's 50th-percentile placement the defining constraint. Industries best served: software development, engineering simulation on CPU, embedded-systems firms needing the Ada-generation GPU's professional feature set, and general technical workstations. This is not a build for graphics-first creative studios.

Upgrade Path and Platform

The platform is Intel Socket 1700, supporting both DDR4 and DDR5 on a dual-channel bus — a genuinely useful flexibility, since a DDR4 build can start inexpensively and a DDR5 configuration can follow. The CPU provides PCIe Gen 5 with 20 lanes from the processor itself, though the RTX 5000 Embedded Ada connects via PCIe 4.0 x16, so the GPU does not consume the Gen 5 budget. ECC memory is supported, relevant for workstation stability.

Power is modest for a build of this CPU class: the processor's TDP is 125 W and the embedded GPU's TDP is 120 W, with the GPU requiring no external power connectors (suggestedPsu is null, reflecting its embedded nature). Total system draw is therefore modest, and the practical PSU implication is that any quality desktop unit covers this pair comfortably without exotic headroom requirements.

The sensible next upgrade is unambiguous: the graphics side. The CPU at the 89th percentile has room above it, but the system's combined 70th percentile is capped by a GPU at the 50th. A higher-percentile desktop GPU on the PCIe 4.0 x16 interface would raise the combined percentile directly, while the i7-13700K — multiplier unlocked, part number SRMB8 — can also be pushed further via overclocking on capable cooling. A memory move to faster DDR5 is the secondary lever, given dual-channel support.

FAQ

Q: Does the database contain measured FPS for the i7-13700K + RTX 5000 Embedded Ada pairing?

A: No. There are no measured frame-rate rows for this combination; all FPS discussion in this analysis is estimated from the CPU benchmark scores and the GPU's 50th-percentile placement.

Q: How does the i7-13700K compare to its nearest rivals?

A: It is statistically tied with them: the AMD Ryzen 9 5900 sits at 46971 versus the i7-13700K's 46881 average score (-0.2 percent), the AMD Ryzen AI 9 HX PRO 375 at 47022 (-0.3 percent), the AMD Ryzen 9 7845HX at 46654 (+0.5 percent), and the Intel Xeon w3-2535 at 46653 (+0.5 percent).

Q: What GPU memory does the RTX 5000 Embedded Ada have?

A: 16 GB of GDDR6 on a 256-bit bus at 18 Gbps effective, giving 576.0 GB/s of bandwidth — capacity and throughput that rule out VRAM as the limiting factor at mainstream resolutions.

Q: What is the overall tier of this build?

A: The combined percentile is 70: a CPU at the 89th percentile against all CPUs paired with a GPU at the 50th percentile against all GPUs, in a desktop build class. It is an upper-mid system overall, compute-led.

Q: Can this build stream and game simultaneously?

A: The CPU data supports it strongly — a max-thread 3DMark score of 12412, a PassMark multi-thread score of 45887, and 24 threads leave ample concurrent capacity, though the GPU remains the frame-rate governor.

Q: What memory and platform features does the i7-13700K offer?

A: Intel Socket 1700, dual-channel DDR4 or DDR5, ECC support, PCIe Gen 5 with 20 CPU lanes, integrated UHD Graphics 770, and an unlocked multiplier (part number SRMB8). Its launch MSRP was $409.

Q: Is ray tracing viable on the RTX 5000 Embedded Ada?

A: The hardware is present — 76 RT cores, 304 tensor cores, and DirectX 12 Ultimate (12_2) support — so ray-traced and upscaling-assisted rendering is architecturally supported, but expected frame rates remain bounded by the GPU's mid-field percentile. Specific figures would require measured data this pairing lacks.

CPU Analysis

The Core i7-13700K is a Raptor Lake-S processor (Raptor Lake architecture, Core 13th Gen), built by Intel on its 10 nm process, with a die size of 257 mm². It runs a base clock of 3.40 GHz and boosts to 5.40 GHz across 16 cores and 24 threads — the classic hybrid layout that its benchmark scaling curve exposes. Cache is generous: 80 KB of L1 and 2 MB of L2 per core, plus 30 MB of shared L3, which feeds both game engines and throughput workloads. Released on September 26, 2022, it remains in active production, and its launch MSRP was $409.

The benchmarks translate cleanly into real workloads. Single-core strength — 2116 in Cinebench R23, 2529 in Geekbench, 4333 in PassMark single-thread — predicts snappy per-application responsiveness: fast IDE behaviour, quick game-logic frames, low-latency interaction in office software. Multi-core results — 30745 in R23, 19429 in Geekbench, 45887 in PassMark — predict heavy throughput capability: parallel compilation, video export, and batch simulation. The 3DMark thread ladder (1136 single, 4469 at four threads, 10717 at sixteen, 12412 at max) shows near-linear scaling in the low thread counts and continued gains at the top, meaning both lightly-threaded and fully-parallel software extract value from this chip. The PassMark specializations — 595292 in compression, 33249 in encryption, 114867 in floating point, 154446 in integer math — round out a profile with no weak flank. At the 89th percentile, this CPU outranks roughly nine of every ten processors in the database.

Build Overview

This is a desktop-class build pairing an elite-tier Intel Raptor Lake processor with a mid-tier NVIDIA Ada Lovelace embedded GPU — a configuration that reads as a workstation-first system rather than a gaming rig. The CPU contributes the 89th percentile, near-parity with the Ryzen 9 5900 and Xeon w3-2535 class, and a complete benchmark portfolio; the GPU contributes the 50th percentile, a 16 GB / 576.0 GB/s memory subsystem, and current-generation RT and tensor hardware in a 120 W embedded package. The combined 70th percentile is the honest summary: strong overall, capped by graphics. For developers, technical professionals, and mixed-workload users, the balance is right; for anyone whose work begins and ends at the GPU, the pairing is inverted — and no measured FPS data exists for this combination to argue otherwise.