GPU Comparison

The NVIDIA CMP 50HX and AMD Radeon RX 5600M represent two fundamentally different approaches to graphics hardware, with the former being a dedicated mining card built on a desktop-class Turing architecture and the latter a mobile RDNA 1.0 part designed for laptops. The benchmark data shows a tight contest: the AMD card wins both shared head-to-head tests, yet the NVIDIA card holds a higher average benchmark score overall. The CMP 50HX achieves an average benchmark score of 51,790, placing it in the 86th percentile among all GPUs, while the RX 5600M averages 46,601, sitting in the 85th percentile. These figures suggest that while the AMD part edges out the NVIDIA card in specific compute and graphics API tests, the CMP 50HX's overall performance profile is slightly stronger across a broader range of workloads.

FAQ

Q: Which GPU wins in Geekbench OpenCL performance?

A: The AMD Radeon RX 5600M wins the Geekbench OpenCL test with a score of 59,589, beating the NVIDIA CMP 50HX's 56,135 by a delta of 5.8%.

Q: How do the two cards compare in Vulkan benchmarks?

A: The AMD Radeon RX 5600M also wins the Geekbench Vulkan test, scoring 48,843 against the NVIDIA CMP 50HX's 47,445, a margin of 2.9%.

Q: What is the average benchmark score for each GPU?

A: The NVIDIA CMP 50HX has an average benchmark score of 51,790, while the AMD Radeon RX 5600M has an average of 46,601. This puts the NVIDIA card roughly 11% higher in aggregate performance.

Q: Which GPU has a higher percentile ranking among all GPUs?

A: The NVIDIA CMP 50HX ranks in the 86th percentile, while the AMD Radeon RX 5600M ranks in the 85th percentile, indicating the NVIDIA card sits slightly higher in the overall performance distribution.

Q: What memory configurations do these GPUs use?

A: The NVIDIA CMP 50HX features 10 GB of GDDR6 memory on a 320-bit bus, while the AMD Radeon RX 5600M uses 6 GB of GDDR6 on a 192-bit bus.

Q: Which cards are listed as closest rivals to the AMD RX 5600M?

A: The nearest rivals to the RX 5600M include the Intel Arc A530M with a matching average score of 46,614, the AMD Radeon RX 6550M at 46,702, the NVIDIA RTX A2000 at 46,043, and the NVIDIA RTX 5880 Ada Generation at 45,972.

Architecture Differences

The NVIDIA CMP 50HX is built on the Turing architecture using the TU102 chip, manufactured on a 12 nm process at TSMC with a die size of 754 mm². This large die houses 18,600 million transistors, resulting in a transistor density of 24.7 million per mm². The architecture includes 56 RT cores and 448 tensor cores, reflecting Turing's focus on ray tracing and AI acceleration, which is notable given that this card has no display outputs. The AMD Radeon RX 5600M, in contrast, uses the RDNA 1.0 architecture with the Navi 10 chip, fabricated on a more advanced 7 nm process. Its die is significantly smaller at 251 mm², containing 10,300 million transistors for a higher density of 41.0 million per mm². The RDNA 1.0 design omits dedicated RT and tensor cores entirely, instead relying on a streamlined compute-oriented layout.

The process node difference is substantial: 12 nm versus 7 nm, which directly impacts power efficiency and die size. The CMP 50HX's 18,600 million transistors dwarf the RX 5600M's 10,300 million, but the AMD card packs more transistors per square millimeter. The NVIDIA card's shading unit count of 3,584 exceeds the AMD card's 2,304, and the same pattern holds for texture mapping units (192 versus 144) and render output units (80 versus 64). However, the AMD card compensates with a higher base clock of 1,035 MHz versus 1,350 MHz on the NVIDIA card, wait, the CMP 50HX actually has the higher base clock at 1,350 MHz, which is unusual for a comparison where the smaller chip typically clocks higher. The boost clocks also favor NVIDIA: 1,545 MHz versus 1,265 MHz. The memory subsystems differ in capacity and bandwidth, with the CMP 50HX delivering 560.0 GB/s versus 288.0 GB/s for the RX 5600M.

Head-to-Head Benchmarks

The two shared benchmarks between these GPUs reveal a consistent pattern where the AMD Radeon RX 5600M outperforms the NVIDIA CMP 50HX. In Geekbench OpenCL, the AMD card scores 59,589 against the NVIDIA card's 56,135, yielding a delta of -5.8% from the NVIDIA perspective. This means the AMD card is approximately 6% faster in this compute workload, which is notable given the NVIDIA card's higher raw specifications like shading units and memory bandwidth. The Vulkan test shows a narrower margin: the AMD card scores 48,843 versus 47,445 for the NVIDIA card, a delta of -2.9%. This closer result suggests that the NVIDIA card's Turing architecture handles graphics API workloads more competitively than pure compute tasks.

These results are counterintuitive when considering the specification sheet. The CMP 50HX has 55% more shading units (3,584 versus 2,304), nearly double the memory bandwidth (560.0 GB/s versus 288.0 GB/s), and higher boost clocks (1,545 MHz versus 1,265 MHz). Yet the RX 5600M wins both tests. This could be attributed to the RDNA 1.0 architecture's efficiency on the 7 nm process and its design optimized for mobile workloads, but the data alone shows that the AMD part delivers better performance in these specific API tests despite lower theoretical specs. The wins are consistent across both APIs, with the AMD card taking the OpenCL test by a larger margin than the Vulkan test.

Specification Differences

The two GPUs differ across nearly every major specification category. The process node is a clear split: the NVIDIA CMP 50HX uses 12 nm while the AMD Radeon RX 5600M uses 7 nm. Transistor counts differ at 18,600 million versus 10,300 million, and die sizes are 754 mm² versus 251 mm². Clock speeds show the NVIDIA card running higher in both base (1,350 MHz versus 1,035 MHz) and boost (1,545 MHz versus 1,265 MHz), with the AMD card also listing a game clock of 1,190 MHz that the NVIDIA card lacks. Memory capacity is 10 GB versus 6 GB, with bus widths of 320 bit versus 192 bit and bandwidths of 560.0 GB/s versus 288.0 GB/s.

The compute unit counts diverge significantly: the NVIDIA card has 3,584 shading units, 192 TMUs, and 80 ROPs, while the AMD card has 2,304 shading units, 144 TMUs, and 64 ROPs. The NVIDIA card includes 56 RT cores and 448 tensor cores, neither of which exist on the AMD card. Pixel and texture rates follow the same pattern: 123.6 GPixel/s and 296.6 GTexel/s for NVIDIA versus 80.96 GPixel/s and 182.2 GTexel/s for AMD. FP32 performance is 11.07 TFLOPS for the CMP 50HX versus 5.829 TFLOPS for the RX 5600M, with FP16 at 22.15 TFLOPS versus 11.66 TFLOPS respectively.

Power and physical characteristics differ as well. The NVIDIA card has a TDP of 250 W with dual-slot cooling and 2x 8-pin power connectors, while the AMD card has a 150 W TDP and is listed as an IGP with no power connectors. The bus interface is PCIe 1.0 x4 for the CMP 50HX versus PCIe 4.0 x16 for the RX 5600M. Display outputs are "No outputs" for the NVIDIA mining card versus "Portable Device Dependent" for the AMD mobile part. The NVIDIA card measures 267 mm in length, while the AMD card has no listed dimensions. DirectX support is 12 Ultimate (12_2) for NVIDIA and 12 (12_1) for AMD, with both supporting OpenGL 4.6 and Vulkan 1.4.

The Verdict

The data presents a nuanced picture for potential users. The AMD Radeon RX 5600M wins both head-to-head benchmarks, taking the Geekbench OpenCL test by 5.8% and the Vulkan test by 2.9%. This makes it the better choice for workloads that rely on these specific APIs, particularly OpenCL compute tasks where the margin is larger. However, the NVIDIA CMP 50HX holds a higher average benchmark score of 51,790 versus 46,601, indicating it performs better across a wider range of tests beyond just those two shared benchmarks. The NVIDIA card also ranks higher in the 86th percentile versus the 85th percentile.

The specification sheet heavily favors the NVIDIA card in raw compute resources, with more shading units, higher clocks, and over 1.9 times the FP32 throughput (11.07 TFLOPS versus 5.829 TFLOPS). Yet the AMD card wins the tests that matter in this direct comparison. This suggests that the RX 5600M's RDNA 1.0 architecture on 7 nm is more efficient in translating its specifications into real-world benchmark scores in these workloads. The NVIDIA card's 250 W TDP and dual-slot cooling requirement also contrast sharply with the AMD card's 150 W TDP and IGP form factor, which is designed for portable devices. For users who prioritize the two tested benchmark scores, the AMD card is the winner; for those looking at aggregate performance across all benchmarks, the NVIDIA card comes out ahead.

Where Each One Wins

The AMD Radeon RX 5600M wins decisively in the shared head-to-head tests, making it the stronger choice for Geekbench OpenCL and Vulkan workloads. Its OpenCL score of 59,589 is particularly impressive, beating the NVIDIA card by 5.8% despite the NVIDIA card's higher memory bandwidth and shading unit count. The Vulkan win is narrower at 2.9%, but still a clear victory. This suggests the RX 5600M is better suited for compute-heavy applications that leverage OpenCL, as well as games or applications that use the Vulkan API. Given its 150 W TDP and IGP form factor, it also fits into portable device configurations where the NVIDIA card's dual-slot, 250 W design would be impractical.

The NVIDIA CMP 50HX wins on aggregate performance, with an average benchmark score of 51,790 that is 11.1% higher than the AMD card's 46,601. This indicates that across a broader set of benchmarks beyond the two shared tests, the NVIDIA card performs better. Its 10 GB of memory and 560.0 GB/s bandwidth provide a substantial advantage for memory-intensive tasks, and its 56 RT cores and 448 tensor cores offer capabilities that the AMD card lacks entirely. The NVIDIA card also holds a higher percentile ranking at 86 versus 85, reinforcing its position as the marginally stronger overall performer. However, its "No outputs" designation means it cannot drive displays, making it exclusively a compute or mining accelerator, whereas the AMD card's "Portable Device Dependent" outputs allow for use in laptops with integrated displays.