AMD Radeon PRO V710 vs NVIDIA CMP 50HX Comparison

The data shows a clear generational and architectural split between the AMD Radeon PRO V710 and the NVIDIA CMP 50HX. The AMD card, released in late 2024, is a modern RDNA 3.0 workstation part, while the NVIDIA CMP 50HX is a 2021 Turing-based mining GPU. Benchmark results indicate the AMD Radeon PRO V710 is the dominant performer in the only shared test, but the NVIDIA card holds specific advantages in raw memory bandwidth and specialized compute features.

Head-to-Head Benchmarks

The only common benchmark between the two cards is Geekbench OpenCL, and the result is a decisive victory for the AMD Radeon PRO V710. It scores 116,460 points, compared to the NVIDIA CMP 50HX's 56,135 points. This translates to a 107.5% performance advantage for the AMD card. In practical terms, the AMD card is more than twice as fast in this compute-oriented workload, which measures general-purpose GPU compute performance across a variety of tasks.

This single benchmark result aligns with the cards' average benchmark scores. The AMD Radeon PRO V710 has an average benchmark score of 58,657, placing it in the 88th percentile of all GPUs. The NVIDIA CMP 50HX, by contrast, averages 51,790, sitting in the 86th percentile. While the percentile difference is modest, the raw performance gap in OpenCL is stark. The AMD card's nearest rivals in the database are the NVIDIA P102-100 (58,528, 0.2% behind), the AMD Radeon RX 6950 XT (58,392, 0.5% behind), and the Intel Arc A570M (58,239, 0.7% behind). The NVIDIA CMP 50HX’s nearest rivals are the AMD Radeon RX 6900 XT (50,951, 1.6% ahead), the AMD Radeon RX Vega 64 (50,001, 3.6% ahead), and the NVIDIA GeForce RTX 5070 Ti (49,957, 3.7% ahead). The data shows the AMD card competes with high-end gaming GPUs, while the NVIDIA card is closer to older flagship models.

It is important to note that the NVIDIA CMP 50HX has a second benchmark result in Geekbench Vulkan, scoring 47,445. The AMD Radeon PRO V710 has no Vulkan score listed, so a direct comparison in that API is not possible from this data. However, the OpenCL result alone establishes a clear performance hierarchy, with the AMD card being the significantly faster compute device.

Architecture Differences

The two cards are built on fundamentally different architectures from different eras. The AMD Radeon PRO V710 uses the RDNA 3.0 architecture with the Navi 32 chip, manufactured on a 5 nm process at TSMC. This modern node allows for 28,100 million transistors on a 346 mm² die, resulting in a transistor density of 81.2 million transistors per square millimeter. The NVIDIA CMP 50HX, in contrast, uses the older Turing architecture with the TU102 chip, built on a 12 nm process, also at TSMC. This older process results in 18,600 million transistors spread across a much larger 754 mm² die, with a far lower transistor density of 24.7 million per square millimeter.

These architectural differences manifest in clock speeds and compute capabilities. The AMD card has a base clock of 1900 MHz and a boost clock of 2000 MHz, significantly higher than the NVIDIA card's 1350 MHz base and 1545 MHz boost. This clock advantage, combined with the newer architecture, contributes to the AMD card's massive lead in FP32 performance: 27.65 TFLOPS versus 11.07 TFLOPS for the NVIDIA card. In FP16 workloads, the AMD card again leads with 27.65 TFLOPS (at a 1:1 ratio), while the NVIDIA card achieves 22.15 TFLOPS (at a 2:1 ratio). The AMD card also has a higher pixel rate (192.0 GPixel/s vs 123.6 GPixel/s) and texture rate (432.0 GTexel/s vs 296.6 GTexel/s).

The memory subsystems also differ substantially. The AMD Radeon PRO V710 has 28 GB of GDDR6 memory on a 224-bit bus, with a bandwidth of 504.0 GB/s. The NVIDIA CMP 50HX has only 10 GB of GDDR6 memory, but on a wider 320-bit bus, giving it a higher memory bandwidth of 560.0 GB/s. This is a key distinction: the AMD card offers far more capacity, while the NVIDIA card offers faster throughput. The AMD card's memory runs at 2250 MHz (18 Gbps effective), while the NVIDIA card's runs at 1750 MHz (14 Gbps effective).

Finally, the cards differ in their compute unit configurations. The AMD card has 3,456 shading units, 216 texture mapping units, 96 ROPs, and 54 ray tracing cores. The NVIDIA card has 3,584 shading units, 192 TMUs, 80 ROPs, 56 RT cores, and, critically, 448 tensor cores. The presence of tensor cores on the NVIDIA card is a major architectural difference, as they are designed for AI and deep learning workloads. The AMD card has no tensor core equivalent listed in the data.

Where Each One Wins

The AMD Radeon PRO V710 is the clear winner for general compute performance. Its 107.5% lead in Geekbench OpenCL demonstrates that it is exceptionally strong in workloads that leverage FP32 and FP16 arithmetic. Its 27.65 TFLOPS of FP32 performance is more than double the NVIDIA card's, making it the superior choice for tasks like scientific simulations, rendering, and any compute-heavy application that uses standard GPU compute APIs. The 28 GB memory capacity is also a massive advantage for large datasets, such as those found in machine learning inference, complex 3D scenes, or large-scale data analysis. This memory size, combined with its high compute throughput, positions it as a capable workstation accelerator.

The NVIDIA CMP 50HX has narrower, but specific, advantages. Its higher memory bandwidth of 560.0 GB/s, compared to 504.0 GB/s for the AMD card, could give it a slight edge in memory-bandwidth-bound tasks, though this is not reflected in the OpenCL benchmark where it lost decisively. The presence of 448 tensor cores is its most significant feature. These cores are purpose-built for tensor operations, which are the foundation of many AI and deep learning frameworks. For workloads that can utilize these cores, the NVIDIA card would have a specialized advantage that the AMD card cannot match. Its dual-slot, 250 W design and 2x 8-pin power connectors also suggest it was designed for a different type of sustained workload than the single-slot, 158 W AMD card.

FAQ

Q: Which card is faster in OpenCL compute?

A: The AMD Radeon PRO V710 is dramatically faster, scoring 116,460 in Geekbench OpenCL compared to 56,135 for the NVIDIA CMP 50HX. This represents a 107.5% higher score for the AMD card.

Q: How does the memory capacity compare?

A: The AMD Radeon PRO V710 has significantly more memory with 28 GB of GDDR6, while the NVIDIA CMP 50HX has 10 GB of GDDR6. This is a major difference for large workloads.

Q: Which card has higher memory bandwidth?

A: The NVIDIA CMP 50HX has higher memory bandwidth at 560.0 GB/s, compared to 504.0 GB/s for the AMD Radeon PRO V710. This is due to its wider 320-bit memory bus versus the AMD card's 224-bit bus.

Q: Does one card have a significant advantage in AI workloads?

A: The NVIDIA CMP 50HX is equipped with 448 tensor cores specifically designed for AI and deep learning operations. The AMD Radeon PRO V710 has no listed tensor cores, so the NVIDIA card is the one with a dedicated hardware path for those tasks.

Q: How do their overall benchmark scores compare?

A: The AMD Radeon PRO V710 has a higher average benchmark score of 58,657, placing it in the 88th percentile. The NVIDIA CMP 50HX has an average score of 51,790, placing it in the 86th percentile.

Q: What are the power requirements?

A: The AMD Radeon PRO V710 has a TDP of 158 W and requires a single 8-pin power connector, with a suggested 450 W PSU. The NVIDIA CMP 50HX has a TDP of 250 W, requires two 8-pin connectors, and suggests a 600 W PSU.

Specification Differences

| Specification | AMD Radeon PRO V710 | NVIDIA CMP 50HX |

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

| Architecture | RDNA 3.0 | Turing |

| Process Node | 5 nm | 12 nm |

| Transistors | 28,100 million | 18,600 million |

| Die Size | 346 mm² | 754 mm² |

| Base Clock | 1900 MHz | 1350 MHz |

| Boost Clock | 2000 MHz | 1545 MHz |

| Memory Size | 28 GB | 10 GB |

| Memory Bus | 224 bit | 320 bit |

| Memory Bandwidth | 504.0 GB/s | 560.0 GB/s |

| Memory Clock | 2250 MHz (18 Gbps effective) | 1750 MHz (14 Gbps effective) |

| Shading Units | 3456 | 3584 |

| TMUs | 216 | 192 |

| ROPs | 96 | 80 |

| RT Cores | 54 | 56 |

| Tensor Cores | null | 448 |

| FP32 Performance | 27.65 TFLOPS | 11.07 TFLOPS |

| FP16 Performance | 27.65 TFLOPS (1:1) | 22.15 TFLOPS (2:1) |

| Pixel Rate | 192.0 GPixel/s | 123.6 GPixel/s |

| Texture Rate | 432.0 GTexel/s | 296.6 GTexel/s |

| TDP | 158 W | 250 W |

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

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

| Suggested PSU | 450 W | 600 W |

| Bus Interface | PCIe 4.0 x16 | PCIe 1.0 x4 |

| Dimensions | Not specified | 267 mm (10.5 inches) long, 116 mm (4.6 inches) high, 35 mm (1.4 inches) wide |

| Release Date | 2024-10-02 | 2021-06-23 |

| Production Status | Not specified | End-of-life |

The Verdict

The choice between these two cards is clear for most use cases. The AMD Radeon PRO V710 is the superior card for general-purpose compute and any workload that demands high FP32 throughput or large memory capacity. Its 107.5% lead in the Geekbench OpenCL test, combined with its 28 GB of memory, makes it the obvious pick for modern compute tasks, rendering, and data-intensive applications. Its significantly lower power draw (158 W vs 250 W) and single-slot design also make it a more efficient and easier-to-integrate component.

The NVIDIA CMP 50HX should only be considered for specialized workloads that can directly utilize its 448 tensor cores. For AI and deep learning inference tasks that rely on tensor operations, this card offers a dedicated hardware feature that the AMD card lacks. However, its end-of-life production status, smaller 10 GB memory pool, and lower overall compute performance make it a risky and limited choice. The data shows that for the vast majority of users, the AMD Radeon PRO V710 is the more powerful, more efficient, and more capable card. The NVIDIA card is a relic with one niche advantage.