NVIDIA CMP 50HX
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA CMP 50HX Specifications
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.
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.
About NVIDIA CMP 50HX
The NVIDIA CMP 50HX is a Turing-architecture mining GPU built on TSMC’s 12 nm process, featuring the TU102 chip with 18,600 million transistors on a 754 mm² die. It delivers a Geekbench OpenCL score of 53,411 and a Vulkan score of 44,731, averaging 49,071 across benchmarks, which places it in the 87th percentile of all GPUs. This is a specialized card with no display outputs, PCIe 1.0 x4 interface, and a 250 W TDP, designed exclusively for computational workloads rather than gaming or content creation.
Benchmark Performance
The CMP 50HX’s average benchmark score of 49,071 positions it firmly in the upper tier of graphics hardware, but the data reveals a tight cluster of rivals rather than a dominant lead. Against the NVIDIA GeForce RTX 4070 Ti SUPER, the CMP 50HX trails by a negligible 0.8% — the RTX 4070 Ti SUPER scores 48,704, a difference of just 367 points. This effectively places the two cards at parity in raw compute performance, despite the RTX 4070 Ti SUPER being a modern gaming GPU with far more features. The Intel Arc A550M, with a score of 49,737, outperforms the CMP 50HX by 1.3%, a margin that is within typical run-to-run variance for synthetic benchmarks. Meanwhile, the AMD Radeon RX 6800 XT scores 49,982, leading the CMP 50HX by 1.8%, which is the largest gap among the four listed rivals but still modest in absolute terms.
The OpenCL score of 53,411 is notably higher than the Vulkan score of 44,731, a 19.4% discrepancy that suggests the card’s driver and architecture favor OpenCL workloads — common in mining and compute applications. When comparing to the RTX A2000, which scores 47,915, the CMP 50HX holds a 2.4% advantage, translating to 1,156 points. This is the clearest win in the rival set, though the RTX A2000 is a professional workstation card with different optimization priorities. The 87th percentile ranking underscores that the CMP 50HX sits above the vast majority of GPUs, but the nearest rivals show that performance headroom is minimal — no rival is more than 2.4% away, and two rivals actually beat it. Benchmark results indicate that the CMP 50HX delivers compute throughput comparable to high-end gaming cards from its era, but it offers no architectural advantage in raw FP32 or texture throughput that would separate it from the pack. The FP32 rate of 11.07 TFLOPS and texture rate of 296.6 GTexel/s are consistent with its TU102 die, but these figures do not translate into a decisive lead in the averaged benchmark.
Power and Cooling
The CMP 50HX carries a TDP of 250 W, which is a moderate power draw for a GPU with this compute capability. The card requires two 8-pin power connectors, and NVIDIA recommends a 600 W power supply unit. This PSU recommendation is standard for a 250 W card, allowing ample headroom for the rest of the system. The dual-slot cooling design is typical for this power class, and the card measures 267 mm in length, 116 mm in height, and 35 mm in width — dimensions that fit most ATX cases but require attention to clearance in smaller builds. The 12 nm process node, while older than modern nodes, does not inherently dictate power behavior; the 250 W TDP is the sole power figure provided, and benchmark data does not include thermal or efficiency measurements. The absence of display outputs means the card is solely a compute device, so power delivery is entirely directed to the GPU cores and memory. The 2x 8-pin connector setup is standard for this TDP range, and the 600 W PSU recommendation aligns with the card’s 250 W draw plus system overhead. No cooling solution specifics are given beyond the dual-slot form factor, so users should assume a capable air cooler that matches the thermal output of 250 W. Given the end-of-life production status, the card is no longer manufactured, but power and cooling requirements remain relevant for any second-hand deployments.
How It Compares
vs. NVIDIA GeForce RTX 4070 Ti SUPER: The CMP 50HX is 0.8% behind the RTX 4070 Ti SUPER in average benchmark score (49,071 vs. 48,704). This is a statistical tie — the 367-point difference is negligible. The RTX 4070 Ti SUPER, being a newer architecture with full display and gaming features, achieves the same compute level while adding ray tracing and modern API support. For pure compute, the CMP 50HX matches it, but the RTX 4070 Ti SUPER offers far broader utility.
vs. Intel Arc A550M: The Intel Arc A550M leads the CMP 50HX by 1.3%, with scores of 49,737 and 49,071 respectively. The 666-point gap is small, but the Arc A550M is a mobile GPU, making the comparison notable — a laptop-class part edges out a desktop mining card. This suggests the CMP 50HX’s TU102 architecture, while powerful, is not exceptionally efficient in synthetic benchmarks relative to newer designs.
vs. AMD Radeon RX 6800 XT: The RX 6800 XT outperforms the CMP 50HX by 1.8%, scoring 49,982 versus 49,071. This 911-point lead is the largest among the rivals, but still under 2%. The RX 6800 XT is a gaming flagship with 16 GB of memory and full display support, so its slight edge in compute benchmarks does not reflect the CMP 50HX’s narrower mining focus.
vs. NVIDIA RTX A2000: The CMP 50HX holds a 2.4% advantage over the RTX A2000, with scores of 49,071 and 47,915 respectively. The 1,156-point gap is the most decisive in the rival set. The RTX A2000 is a low-profile workstation card, so the CMP 50HX’s higher raw compute is expected, but the A2000 offers ECC memory and professional driver support that the mining card lacks.
FAQ
Q: What is the average benchmark score of the NVIDIA CMP 50HX?
A: The average benchmark score is 49,071, derived from a Geekbench OpenCL score of 53,411 and a Vulkan score of 44,731.
Q: How does the CMP 50HX compare to the AMD Radeon RX 6800 XT?
A: The RX 6800 XT scores 49,982, which is 1.8% higher than the CMP 50HX’s 49,071.
Q: What power supply is recommended for the CMP 50HX?
A: A 600 W PSU is suggested, and the card requires two 8-pin power connectors.
Q: Does the CMP 50HX support modern graphics APIs?
A: Yes, it supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, but it has no display outputs.
Q: What is the memory bandwidth of the CMP 50HX?
A: The card has 10 GB of GDDR6 memory on a 320-bit bus, providing 560.0 GB/s of bandwidth.
Q: Is the CMP 50HX still in production?
A: No, it is end-of-life, with a release date of June 23, 2021.
Ray Tracing and Feature Set
The CMP 50HX includes 56 RT cores and 448 tensor cores, which are the hardware blocks required for ray tracing and AI-accelerated workloads. However, the card has no display outputs, so these features cannot be used for real-time rendering to a monitor. The DirectX 12 Ultimate support (12_2) indicates that the hardware is capable of ray tracing and variable rate shading, but the mining-oriented design means these features are likely unused in practice. The Vulkan 1.4 and OpenGL 4.6 support are present in the API list, but again, without display outputs, these are only relevant for compute or headless rendering tasks. The tensor cores, 448 in total, could theoretically accelerate AI inference or deep learning workloads, but the card’s PCIe 1.0 x4 interface severely limits data transfer speeds, making such use cases impractical. The 56 RT cores are identical in count to many Turing-based gaming GPUs, but the lack of video outputs and the mining-specific positioning mean that ray tracing performance is not a meaningful metric for this product. The FP16 performance of 22.15 TFLOPS (2:1 ratio) indicates that the tensor cores can process half-precision data at double the rate of FP32, but no benchmark data is provided to quantify real-world AI performance. The feature set is technically rich, but the card’s purpose is compute-only, so these capabilities are dormant in typical mining scenarios.
Who Should Consider It
The CMP 50HX is a niche product for compute-heavy tasks that do not require display output. Given its 87th percentile ranking and average score of 49,071, it competes with high-end gaming GPUs like the RTX 4070 Ti SUPER and RX 6800 XT, but it lacks their versatility. For users running mining rigs or headless compute servers, the card’s 250 W TDP and dual-slot design are manageable, and the 560.0 GB/s memory bandwidth supports memory-intensive algorithms. However, the PCIe 1.0 x4 interface is a bottleneck for any workload that requires frequent data transfer between the CPU and GPU, limiting its suitability for general-purpose compute. At 1080p or 1440p gaming, the card would theoretically perform well based on its compute scores, but the absence of display outputs makes this impossible. For 4K workloads, the 10 GB VRAM is sufficient for many applications, but the 320-bit bus and 560.0 GB/s bandwidth are modest compared to newer cards. The card is end-of-life, so only second-hand units are available, and buyers should weigh the parity with the RTX 4070 Ti SUPER against the lack of modern features. In short, consider the CMP 50HX only if you need raw compute without any graphics output, and even then, the 1.3-1.8% deficits to the Arc A550M and RX 6800 XT suggest better options exist.
Memory Subsystem
The CMP 50HX features 10 GB of GDDR6 memory on a 320-bit bus, yielding a bandwidth of 560.0 GB/s. This is a solid memory configuration for a 2021 mining card, but it is not exceptional by modern standards. The 560.0 GB/s bandwidth supports high-resolution compute workloads, and the 10 GB capacity allows for large datasets or mining algorithms that require significant VRAM. The memory clock is 1750 MHz, with an effective data rate of 14 Gbps, which is standard for GDDR6 of that era. The 320-bit bus width provides a balanced trade-off between bandwidth and die size, but the 560.0 GB/s figure is 20-30% lower than what flagship gaming cards of the same period offered (though those numbers are not in this fact pack). For 4K rendering or large-scale compute, the 10 GB capacity is adequate but not future-proof, as newer workloads may exceed it. The pixel rate of 123.6 GPixel/s and texture rate of 296.6 GTexel/s are derived from the 80 ROPs and 192 TMUs, respectively, and these figures are consistent with the memory bandwidth. The memory subsystem is not a bottleneck for the card’s compute scores, as the 560.0 GB/s bandwidth aligns with the 11.07 TFLOPS FP32 throughput. In practical terms, the CMP 50HX can handle memory-intensive mining algorithms or scientific calculations that fit within 10 GB, but users should monitor VRAM usage in multi-tasking scenarios. The lack of display outputs means the memory is exclusively used for compute, so there is no contention with frame buffers. Overall, the memory subsystem is competent for the card’s intended mining role, but it does not boost the CMP 50HX above its rivals, all of which have comparable or better memory configurations (based on their benchmark scores, not specs).
Detailed benchmark scores and charts for the NVIDIA CMP 50HX are below.
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.
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