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18.7K
Subscribers
17.3K
Average views
across 15 recent videos
92%
Reach quality
of subscribers watch, on average
Above typical for nano-sized channels
Well above the nano median — this audience watches far more than most nano-sized channels.
24.7M
Total views
1.37K
Videos
2026-09-27
Data updated
15-video sample
About
Welcome to MxBenchmarkPC! This channel is all about PC hardware, cutting edge technologies and gaming benchmarks. Here you can expect: 1. In-depth Ray Tracing and Path Tracing image quality and performance comparisons. 2. In-depth image quality comparisons between different upscaling solutions such as NVIDIA's DLSS, DLAA, Frame Generation, Ray Reconstruction, Intel's XeSS, AMD's FSR and Unreal Engine 5 TSR. 3. In-depth image quality comparisons between different versions and iterations of DLSS, FSR and XeSS. 4. Unreal Engine 5 in-depth technological analysis and benchmarks in games and tech demos. 5. Side-by-side comparison benchmarks on game patches performance difference. 6. Gaming benchmarks with wide variety of different settings and hardware. 7. Frequent and consistent uploads. Also, you can ask me anything in the comments section and receive a reply. So feel free to actively use comments section if you are genuinely interested in this type of content :)
About MxBenchmarkPC
MxBenchmarkPC is a YouTube-based creator focused on the technical evaluation of PC hardware and gaming performance. The channel operates within the tech and gaming sectors, providing granular analysis of modern rendering technologies and hardware capabilities. With a library of 1,372 videos, the creator maintains a consistent focus on benchmarking and image quality assessment. The content output is specialized, centering on the performance metrics of Ray Tracing and Path Tracing, as well as comparative studies of various upscaling solutions. Specifically, the channel documents the performance differences between NVIDIA’s DLSS, DLAA, Frame Generation, and Ray Reconstruction, alongside Intel’s XeSS, AMD’s FSR, and Unreal Engine 5’s TSR. By isolating specific iterations of these technologies, the channel serves as a technical resource for users interested in the nuances of graphical fidelity and frame rate optimization. Furthermore, the channel provides ongoing technological analysis of Unreal Engine 5, examining how its features manifest in contemporary gaming software. Based in Ukraine, MxBenchmarkPC functions as a niche-focused technical repository, prioritizing data-driven comparisons over general gaming commentary. The channel’s total view count stands at 24,742,132, reflecting a long-term commitment to producing high-frequency technical content. While the channel maintains a subscriber base of 18,700, its primary utility lies in its extensive catalog of comparative benchmarks, which offer viewers a detailed look at how hardware configurations interact with modern game engines and rendering pipelines.
MxBenchmarkPC's estimated sponsorship rates
The algorithmic price estimate for a video integration on MxBenchmarkPC ranges from $345 to $553, with a typical valuation of $432. These figures are calculated based on a niche CPM band of $20 to $32, reflecting the high value of the tech and hardware benchmarking sector. The primary factors influencing these rates include the channel’s specific focus on technical hardware comparisons, which typically attracts a high-intent audience, and the creator’s consistent output of performance-oriented content. Because the channel operates within the tech niche, it benefits from higher CPM benchmarks compared to general entertainment or lifestyle channels, as the content is highly relevant to advertisers in the hardware, software, and gaming peripheral industries. The valuation accounts for an average view count of 17,268 per video, which provides a stable baseline for brand partners seeking to reach an audience interested in PC optimization and GPU performance. While the subscriber count of 18,700 places the channel in the nano-influencer tier, the high volume of content—totaling 1,372 videos—suggests a high level of audience trust and long-tail discoverability. The pricing formula used to derive these estimates is based on audience size, niche-specific CPM, and platform-specific format multipliers. For a detailed breakdown of how these variables are weighted to determine the final valuation, please refer to our methodology page.
Who should partner with MxBenchmarkPC?
The audience for MxBenchmarkPC consists primarily of PC hardware enthusiasts, gamers, and software developers interested in the technical implementation of rendering technologies. Given the channel's focus on benchmarking, the viewer base is likely composed of individuals researching hardware purchases, optimizing game settings, or studying the efficacy of upscaling solutions like DLSS and FSR. This demographic is highly valuable to brands in the PC hardware, graphics card manufacturing, and gaming software sectors. Potential brand categories that align with this audience include GPU manufacturers, monitor and peripheral companies, PC component retailers, and software development tools. The audience profile is distinct from broader gaming channels, as the content requires a level of technical literacy regarding frame rates, image reconstruction, and engine-level performance. When compared to peer creators in the tech niche, such as Coding Tutorials (16,500 subscribers) and Gavin Zhou (21,100 subscribers), MxBenchmarkPC occupies a specific intersection of hardware testing and software analysis. Other peers in the space, including サファはユーチューバー【AIイラスト】 (15,400 subscribers) and ADR SISTEMAS (14,700 subscribers), demonstrate that creators with similar subscriber counts often find success by catering to specialized technical interests. The audience’s engagement is driven by the utility of the content, as viewers utilize the channel’s comparative videos to make informed decisions about hardware settings and software compatibility. We do not yet have granular demographic data regarding the geographic distribution or age range of this specific audience.
MxBenchmarkPC's growth and performance
The growth trajectory for MxBenchmarkPC is measured through periodic snapshots of subscriber data. As of the most recent data point on July 23, 2026, the channel maintained a total of 18,700 subscribers. The initial tracking for this creator began on July 23, 2026, at which time the subscriber count was 17,800. Over the recorded one-day span, the channel showed a delta of 0 subscribers. Because the available dataset is limited to a single day of observation, it is not possible to determine long-term growth trends or calculate a monthly growth rate at this time. The channel’s history of 1,372 published videos suggests a long-term presence on the platform, indicating that the current subscriber count is the result of sustained content production over an extended period rather than a recent surge. Future snapshots will be required to establish a clear velocity for subscriber acquisition and to assess how the channel’s frequent benchmarking updates impact audience retention and growth.
How our pricing estimate works for MxBenchmarkPC
The valuation and audience estimates provided for MxBenchmarkPC are generated through a proprietary algorithmic model designed to standardize creator data across the influencer economy. Our methodology relies on a combination of subscriber counts, niche-specific CPM (Cost Per Mille) bands, and platform-specific format multipliers to arrive at a fair market value for integrated content. For this profile, we utilized a niche CPM band of $20 to $32, with an anchor value of $25, to reflect the specific economic value of the tech and hardware benchmarking category. The estimated pricing is further refined by the channel’s average view count of 17,268, which provides a high-confidence basis for calculating potential reach. This algorithmic approach ensures that valuations remain consistent and objective, independent of individual creator rate cards. For a comprehensive explanation of the variables involved in our calculations, including how we adjust for different platform formats and audience tiers, please refer to our methodology page.