AMD Radeon RX 5300M vs NVIDIA CMP 70HX Comparison

The Verdict

The data presents a clear split: the AMD Radeon RX 5300M is the better choice for anyone who needs general-purpose compute performance, while the NVIDIA CMP 70HX is a specialized tool for a very specific task. In the sole head-to-head benchmark recorded, the Radeon RX 5300M wins decisively. The Geekbench OpenCL score for the AMD card is 36,529, against 25,135 for the NVIDIA CMP 70HX, a delta of 45.3%. This is not a close contest; the AMD part is dramatically faster in this workload.

However, the CMP 70HX has its own strengths. It is built on a much newer architecture with far more resources, and it targets a completely different market segment. The RX 5300M is a mobile GPU, designed for laptops, while the CMP 70HX is a desktop card with no display outputs, explicitly intended for cryptocurrency mining. If the task is rendering frames to a screen, the RX 5300M is the only viable option, as the CMP 70HX cannot output video at all. If the task is raw compute density in a mining rig, the CMP 70HX offers a different set of trade-offs, despite its lower OpenCL score.

The database percentile rankings reinforce this narrative. The RX 5300M sits at the 80th percentile against all GPUs, while the CMP 70HX sits at the 75th percentile. This suggests that in the broader landscape of recorded benchmarks, the AMD mobile part holds a slightly higher standing overall. The CMP 70HX is not a bad performer, but its specialization limits its utility. The verdict is straightforward: for general users, the RX 5300M is the clear winner. For miners who prioritize other metrics not captured here, the CMP 70HX may still have a place, but the recorded data does not favor it.

Architecture Differences

The two GPUs are separated by more than just performance; they are fundamentally different designs from different eras. The AMD Radeon RX 5300M uses the Navi 14 chip, built on the RDNA 1.0 architecture, and manufactured on a 7 nm process at TSMC. It packs 6,400 million transistors onto a die size of 158 mm², yielding a transistor density of 40.5 million per square millimeter. The NVIDIA CMP 70HX, by contrast, uses the GA104 chip, based on the Ampere architecture, and is fabricated on an 8 nm process at Samsung. This chip is much larger, with 17,400 million transistors on a 392 mm² die, for a density of 44.4 million per square millimeter.

The memory subsystems are also starkly different. The RX 5300M has 3 GB of GDDR6 memory on a 96-bit bus, delivering 168.0 GB/s of bandwidth. The CMP 70HX has 8 GB of GDDR6X memory on a 256-bit bus, with a much higher bandwidth of 608.3 GB/s. This is a major advantage for the NVIDIA card in any memory-bound scenario, though the OpenCL benchmark does not reflect it as a win.

Compute resources tell a similar story of scale. The RX 5300M has 1,408 shading units, 88 texture mapping units, and 32 raster operation units. The CMP 70HX has 3,840 shading units, 120 TMUs, and 64 ROPs. The NVIDIA card also features 30 RT cores and 120 tensor cores, hardware that the AMD part lacks entirely. This gives the CMP 70HX the capability for real-time ray tracing and AI-accelerated workloads, though the mining focus of the card suggests these are not its primary purpose.

Clock speeds and power characteristics differ as well. The RX 5300M has a base clock of 1000 MHz, a boost clock of 1445 MHz, and a game clock of 1181 MHz. The CMP 70HX has a lower base clock of 1365 MHz and a boost of 1395 MHz. The AMD card has a TDP of 85 W and requires no external power connectors, while the CMP 70HX has no listed TDP but specifies a 200 W suggested power supply and uses a single 12-pin connector. The interface also differs: the RX 5300M uses PCIe 4.0 x8, while the CMP 70HX uses PCIe 1.0 x4, an odd choice for a modern card but indicative of its mining-focused design. The CMP 70HX has no display outputs, while the RX 5300M outputs are described as portable device dependent.

Where Each One Wins

The recorded benchmark data gives the RX 5300M a single, dominant win. In Geekbench OpenCL, it scores 36,529 against the CMP 70HX's 25,135. This is a 45.3% advantage, and it is the only head-to-head test in the database. This suggests the AMD card is the better choice for general-purpose compute tasks, including OpenCL-based workloads such as video encoding, physics simulations, and some machine learning inference. The data shows no scenario in which the CMP 70HX wins in a direct comparison.

That said, the CMP 70HX has attributes that the RX 5300M simply cannot match. Its 608.3 GB/s of memory bandwidth is more than 3.6 times that of the AMD card, which would be a significant advantage in memory-intensive mining algorithms. Its 8 GB of GDDR6X memory is also far larger than the 3 GB on the RX 5300M. For a mining card, these specifications are critical, and the CMP 70HX was designed for that purpose. The absence of display outputs is a clear sign that it is not meant for gaming or desktop use.

The RX 5300M, on the other hand, is a mobile part. It is designed to fit into laptops and provide a balance of performance and power efficiency, with its 85 W TDP being a key factor. The CMP 70HX is a dual-slot desktop card, 267 mm long, which is not portable. The RX 5300M also supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, while the CMP 70HX supports DirectX 12 Ultimate (12_2), a newer feature set. However, the CMP 70HX has no way to display a picture, so its API support is largely irrelevant for end users.

FAQ

Q: Which GPU is faster in the recorded benchmarks?

A: The AMD Radeon RX 5300M. In the Geekbench OpenCL test, it scores 36,529, which is 45.3% higher than the NVIDIA CMP 70HX's score of 25,135.

Q: Can the NVIDIA CMP 70HX be used for gaming?

A: No. The CMP 70HX has no display outputs, so it cannot be connected to a monitor. It is designed for mining, not for rendering frames to a screen.

Q: Which card has more memory bandwidth?

A: The NVIDIA CMP 70HX. It has 608.3 GB/s of bandwidth, compared to 168.0 GB/s for the AMD Radeon RX 5300M. This is a 3.6 times advantage for the NVIDIA card.

Q: What is the architectural difference between the two?

A: The RX 5300M uses AMD's RDNA 1.0 architecture on a 7 nm process, while the CMP 70HX uses NVIDIA's Ampere architecture on an 8 nm process. The CMP 70HX also has 30 RT cores and 120 tensor cores, which the RX 5300M lacks.

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

A: The AMD Radeon RX 5300M. It sits at the 80th percentile, while the NVIDIA CMP 70HX sits at the 75th percentile.

Q: Do both cards support modern graphics APIs?

A: Yes, but to different levels. The RX 5300M supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The CMP 70HX supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Head-to-Head Benchmarks

The only direct comparison in the database is the Geekbench OpenCL test, and it is a landslide. The AMD Radeon RX 5300M scores 36,529, while the NVIDIA CMP 70HX scores 25,135. This is a delta of 45.3%, meaning the AMD card is nearly half again as fast in this workload. The RX 5300M's nearest rivals in the broader database include the NVIDIA GeForce GTX TITAN X, which scores 36,530 (a 0% delta), and the NVIDIA T1000, which scores 36,289 (a 0.7% delta). The AMD Radeon PRO W6400 scores 37,157, which is 1.7% higher than the RX 5300M, and the AMD Radeon Pro Duo scores 35,860, which is 1.9% lower. This places the RX 5300M in a tight cluster of mid-range cards, with its performance being very competitive.

The CMP 70HX, on the other hand, scores 25,135 in OpenCL, which is far below the RX 5300M. Its nearest rivals include the NVIDIA Tesla M60, which scores 30,490 (a 0% delta), and the AMD Radeon RX 6700, which scores 30,433 (a 0.1% delta). The AMD Radeon RX 6800 scores 30,095 (a 1.3% delta), and the NVIDIA GeForce RTX 3070 Ti scores 29,945 (a 1.8% delta). This puts the CMP 70HX in a performance tier that is roughly 20% below the RX 5300M, despite having more than twice the shading units and a much larger memory bus.

The CMP 70HX does have one additional benchmark recorded: a Geekbench Vulkan score of 35,817. This is not compared directly to the RX 5300M in the head-to-head data, but it is worth remembering this score is higher than its OpenCL score, suggesting the card may perform differently across various APIs. However, since the RX 5300M has no Vulkan score in the database, no direct comparison can be made. The data remains unambiguous: in the one test where both cards are measured, the AMD Radeon RX 5300M wins by a wide margin. The CMP 70HX, despite its architectural advantages, does not translate those into a higher OpenCL score, making it the weaker choice for general compute.