NVIDIA CMP 50HX vs NVIDIA GeForce RTX 5090 D Comparison

The Verdict

The data presents a stark generational and architectural divide. The NVIDIA GeForce RTX 5090 D is an absolute behemoth, dominating the NVIDIA CMP 50HX in every recorded benchmark. The RTX 5090 D secures 2 wins, while the CMP 50HX records none. This is not a close contest; it is a demonstration of how far GPU technology has progressed.

Based strictly on the benchmark results, the RTX 5090 D is the clear choice for any compute-intensive or graphics-heavy workload. Its average benchmark score of 77,712 places it in the 92nd percentile of all GPUs, while the CMP 50HX sits at 51,790 in the 86th percentile. The RTX 5090 D is not just faster; it is in a different performance class altogether, being closer in average score to the AMD Radeon RX 6850M XT (a -1.6% delta) than it is to its competitor here.

The CMP 50HX, conversely, is an end-of-life product with a specific, narrow purpose. With no display outputs and a PCIe 1.0 x4 interface, it is not designed for interactive use. Its benchmark scores, while still respectable for its era, are dwarfed by the newer card. The database shows it is roughly on par with the AMD Radeon RX 6900 XT (a 1.6% delta in its favor), positioning it as a legacy compute or mining workhorse, not a gaming or modern compute solution.

Therefore, the verdict is simple: for any application requiring maximum performance, the RTX 5090 D is the only logical option. The CMP 50HX remains relevant only in scenarios where power consumption, legacy software compatibility, or a specific, low-bandwidth compute workload is the primary concern.

Architecture Differences

The architectural chasm between these two GPUs is immense, spanning multiple generations of NVIDIA design philosophy.

The RTX 5090 D is built on the current-generation Blackwell 2.0 architecture, utilizing the GB202 chip. Fabricated on a 5 nm process at TSMC, it integrates an astonishing 92,200 million transistors on a 750 mm² die. This results in a transistor density of 122.9M / mm². In contrast, the CMP 50HX is based on the older Turing architecture with the TU102 chip. It uses a 12 nm process and packs 18,600 million transistors on a slightly larger 754 mm² die, yielding a much lower density of 24.7M / mm². The data shows a clear evolution in manufacturing efficiency and transistor count.

The memory subsystems are generations apart. The RTX 5090 D uses 32 GB of GDDR7 memory on a 512-bit bus, delivering a massive 1.79 TB/s of bandwidth. The CMP 50HX, by comparison, is equipped with 10 GB of GDDR6 on a 320-bit bus, providing 560.0 GB/s. This difference alone explains a large portion of the performance gap in bandwidth-sensitive tasks.

Core counts also reflect the generational leap. The RTX 5090 D boasts 21,760 shading units, 680 TMUs, and 176 ROPs. It also features 170 RT cores and 680 tensor cores. The CMP 50HX is far more modest, with 3,584 shading units, 192 TMUs, and 80 ROPs, along with 56 RT cores and 448 tensor cores. The RTX 5090 D's FP32 compute of 104.8 TFLOPS is nearly ten times the CMP 50HX's 11.07 TFLOPS. Even in FP16, where the CMP 50HX has a 2:1 ratio advantage, the RTX 5090 D's 104.8 TFLOPS still vastly outpaces the CMP 50HX's 22.15 TFLOPS.

The physical and interface specifications also differ. The RTX 5090 D uses a PCIe 5.0 x16 interface and a 1x 16-pin power connector, with a 575 W TDP and a 950 W suggested PSU. The CMP 50HX is limited to a PCIe 1.0 x4 interface, uses 2x 8-pin connectors, and has a 250 W TDP with a 600 W suggested PSU. This reinforces the CMP 50HX's status as a specialized card, not designed for high-bandwidth interaction with the host system.

Where Each One Wins

The RTX 5090 D wins in every category measured. There are no benchmark wins for the CMP 50HX. The data is unequivocal.

The most significant wins for the RTX 5090 D are in raw compute and graphics throughput. In the Geekbench OpenCL test, it scores 310,674 against the CMP 50HX's 56,135, a 453.4% advantage. This suggests a massive lead in general-purpose compute, which is crucial for rendering, physics simulations, and AI workloads.

The lead is even more pronounced in the Geekbench Vulkan test. The RTX 5090 D scores 376,915 compared to the CMP 50HX's 47,445, representing a 694.4% delta. Vulkan is a low-overhead graphics API, and such a massive difference points to the RTX 5090 D's superior driver support, geometry processing, and memory bandwidth, making it an exceptional choice for modern, high-fidelity gaming.

The CMP 50HX's only "win" is in its design for a specific purpose. With no display outputs, it is not intended for gaming or graphical output. Its lower 250 W TDP and 600 W suggested PSU make it a more manageable addition to a power-constrained system, but its severely limited PCIe 1.0 x4 interface and lack of display functionality preclude it from any general-purpose or interactive use case. The RTX 5090 D, with its 1x HDMI 2.1b and 3x DisplayPort 2.1b outputs, is the clear winner for any user who needs to see the results of their GPU's work.

FAQ

Q: Which GPU is faster in compute workloads?

A: The NVIDIA GeForce RTX 5090 D is significantly faster. In the Geekbench OpenCL test, it scored 310,674 versus the CMP 50HX's 56,135, a 453.4% advantage.

Q: How do they compare in graphics API performance?

A: The RTX 5090 D dominates. In the Geekbench Vulkan test, it achieved 376,915 points, which is 694.4% higher than the CMP 50HX's score of 47,445.

Q: Which GPU has more memory and bandwidth?

A: The RTX 5090 D has 32 GB of GDDR7 memory on a 512-bit bus, providing 1.79 TB/s bandwidth. The CMP 50HX has 10 GB of GDDR6 on a 320-bit bus, with 560.0 GB/s bandwidth.

Q: What are the power requirements for each?

A: The RTX 5090 D has a TDP of 575 W and requires a 950 W suggested PSU. The CMP 50HX has a TDP of 250 W and a 600 W suggested PSU.

Q: Is the CMP 50HX suitable for gaming?

A: No, the recorded data indicates it has no display outputs, making it impossible to connect a monitor for gaming. It is a compute or mining-oriented card.

Q: How does each card compare to its nearest rivals in the database?

A: The RTX 5090 D's average score of 77,712 makes it 1.1% faster than an AMD Radeon RX 6650M XT but 1.6% slower than an AMD Radeon RX 6850M XT. The CMP 50HX's average score of 51,790 puts it 1.6% ahead of an AMD Radeon RX 6900 XT and 4.1% ahead of an Intel Arc A550M.

Head-to-Head Benchmarks

The head-to-head comparison is brief but conclusive, with the RTX 5090 D winning both tests by staggering margins.

The first test is Geekbench OpenCL, a measure of general-purpose compute performance. The RTX 5090 D scores 310,674, while the CMP 50HX scores 56,135. This is a 453.4% delta in favor of the RTX 5090 D. This result underscores the vast difference in raw compute resources, including the 21,760 versus 3,584 shading units and the 104.8 TFLOPS versus 11.07 TFLOPS FP32 performance. The RTX 5090 D can process massively parallel workloads at a rate that the CMP 50HX cannot approach.

The second test is Geekbench Vulkan, which measures graphics and compute performance through the Vulkan API. Here, the RTX 5090 D's dominance is even more pronounced. It scores 376,915, compared to the CMP 50HX's 47,445. The delta is a massive 694.4%. This is not just a difference in compute power; it also highlights the RTX 5090 D's superior memory bandwidth (1.79 TB/s versus 560.0 GB/s) and its modern architecture's ability to feed the GPU efficiently. The CMP 50HX's PCIe 1.0 x4 interface would also bottleneck data transfer in a system, further hampering its real-world performance in any interactive or data-intensive task.

These results clearly show that the RTX 5090 D is not merely an incremental upgrade over the CMP 50HX; it is a generational leap that redefines the performance envelope for consumer and professional GPUs.

Specification Differences

The following table outlines the key specification differences between the two GPUs, based solely on the recorded data.

| Specification | NVIDIA GeForce RTX 5090 D | NVIDIA CMP 50HX |

|:--- |:--- |:--- |

| Architecture | Blackwell 2.0 | Turing |

| Chip | GB202 | TU102 |

| Process Node | 5 nm | 12 nm |

| Transistors | 92,200 million | 18,600 million |

| Die Size | 750 mm² | 754 mm² |

| Transistor Density | 122.9M / mm² | 24.7M / mm² |

| Base Clock | 2017 MHz | 1350 MHz |

| Boost Clock | 2407 MHz | 1545 MHz |

| Memory Size | 32 GB | 10 GB |

| Memory Type | GDDR7 | GDDR6 |

| Memory Bus Width | 512 bit | 320 bit |

| Memory Bandwidth | 1.79 TB/s | 560.0 GB/s |

| Shading Units | 21760 | 3584 |

| TMUs | 680 | 192 |

| ROPs | 176 | 80 |

| RT Cores | 170 | 56 |

| Tensor Cores | 680 | 448 |

| Pixel Rate | 423.6 GPixel/s | 123.6 GPixel/s |

| Texture Rate | 1,636.8 GTexel/s | 296.6 GTexel/s |

| FP32 Compute | 104.8 TFLOPS | 11.07 TFLOPS |

| FP16 Compute | 104.8 TFLOPS (1:1) | 22.15 TFLOPS (2:1) |

| TDP | 575 W | 250 W |

| Power Connectors | 1x 16-pin | 2x 8-pin |

| Suggested PSU | 950 W | 600 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 1.0 x4 |

| Display Outputs | 1x HDMI 2.1b, 3x DisplayPort 2.1b | No outputs |

| Slot Width | Dual-slot | Dual-slot |

| Dimensions (LxHxW) | 304 x 137 x 48 mm | 267 x 116 x 35 mm |

| Production Status | Active | End-of-life |

| Release Date | 2025-01-29 | 2021-06-23 |