NVIDIA CMP 50HX
NVIDIA graphics card specifications and benchmark scores
NVIDIA CMP 50HX Specifications
CMP 50HX GPU Core
Shader units and compute resources
The NVIDIA CMP 50HX GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
CMP 50HX Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the CMP 50HX's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The CMP 50HX by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's CMP 50HX Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The CMP 50HX's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
CMP 50HX by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the CMP 50HX, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
CMP 50HX Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA CMP 50HX against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
CMP 50HX Ray Tracing & AI
Hardware acceleration features
The NVIDIA CMP 50HX includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the CMP 50HX capable of delivering both stunning graphics and smooth frame rates in modern titles.
Turing Architecture & Process
Manufacturing and design details
The NVIDIA CMP 50HX is built on NVIDIA's Turing architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the CMP 50HX will perform in GPU benchmarks compared to previous generations.
NVIDIA's CMP 50HX Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA CMP 50HX determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the CMP 50HX to maintain boost clocks without throttling.
CMP 50HX by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA CMP 50HX are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA CMP 50HX. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
CMP 50HX Product Information
Release and pricing details
The NVIDIA CMP 50HX is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the CMP 50HX by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
CMP 50HX Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA CMP 50HX handles parallel computing tasks like video encoding and scientific simulations.
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA CMP 50HX performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
About NVIDIA CMP 50HX
The GeForce NVIDIA CMP 50HX targets professional compute workloads while keeping a modest power envelope. Its 10 GB of GDDR6 memory paired with a 1350 MHz base clock and 1545 MHz boost delivers solid OpenCL and Vulkan scores, hitting 53,411 and 44,731 points respectively. Built on the 12 nm Turing architecture, the card inherits the same shader efficiency found in the consumer line but trades rasterization features for raw throughput. At a 250 W TDP, it slots into a standard ATX chassis without demanding exotic cooling solutions. Pricing in the mid‑$300 range puts it ahead of many entry‑level workstation GPUs, though the lack of ray‑tracing hardware limits its appeal beyond compute tasks. For miners or AI inference rigs that value consistent hash rates, the CMP 50HX offers a compelling price‑to‑performance ratio.
When stacked against the RTX 3060, the CMP 50HX loses the gaming
The AMD Equivalent of CMP 50HX
Looking for a similar graphics card from AMD? The AMD Radeon RX 6700 offers comparable performance and features in the AMD lineup.
Popular NVIDIA CMP 50HX Comparisons
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