AMD Radeon RX 5300M vs NVIDIA RTX 5880 Ada Generation Comparison

The NVIDIA RTX 5880 Ada Generation and the AMD Radeon RX 5300M occupy completely different corners of the GPU market. The RTX 5880 Ada is a current, active workstation-class card built on NVIDIA’s Ada Lovelace architecture, while the RX 5300M is an end-of-life mobile GPU from AMD’s RDNA 1.0 generation, released in late 2019 for laptops. The database records a single head-to-head benchmark, Geekbench OpenCL, where the NVIDIA card scores 326,898 against the AMD’s 36,529, a margin of 794.9% in favor of the RTX 5880 Ada. That single result, combined with the full specification and benchmark records, defines the relationship between these two products.

The Verdict

The data makes the choice straightforward for any builder or buyer. The NVIDIA RTX 5880 Ada Generation is the clear pick for professional workstation workloads, large-scale compute tasks, and any application that demands high memory capacity and raw throughput. Its average benchmark score across all recorded tests is 45,972, placing it in the 85th percentile of all GPUs in the database. The AMD Radeon RX 5300M, with an average score of 36,529, sits in the 80th percentile, but that average is based on a single OpenCL result, and the gap between the two is enormous in that test.

For anyone considering the RX 5300M, the data indicates it is a legacy mobile part with limited memory (3 GB) and no dedicated ray tracing or tensor cores. It was designed for thin-and-light laptops in its era, and its end-of-life status means it is no longer a viable option for new builds. The RTX 5880 Ada, by contrast, is an active product with 48 GB of GDDR6 memory, a 384-bit bus, and 864.0 GB/s of bandwidth, making it suitable for large datasets, rendering, and AI inference workloads. The verdict is not nuanced: the RTX 5880 Ada dominates in every measurable aspect, and the RX 5300M should only be considered if a system requires a low-power, portable GPU with minimal compute demands.

FAQ

Q: How much faster is the NVIDIA RTX 5880 Ada Generation than the AMD Radeon RX 5300M in OpenCL?

A: In the Geekbench OpenCL test, the RTX 5880 Ada scores 326,898 while the RX 5300M scores 36,529. That is a 794.9% advantage for the NVIDIA card.

Q: Does the AMD Radeon RX 5300M support ray tracing or tensor operations?

A: No. The database lists no ray tracing cores and no tensor cores for the RX 5300M. The RTX 5880 Ada has 110 ray tracing cores and 440 tensor cores.

Q: What memory configurations do the two GPUs use?

A: The RTX 5880 Ada has 48 GB of GDDR6 on a 384-bit bus, delivering 864.0 GB/s bandwidth. The RX 5300M has 3 GB of GDDR6 on a 96-bit bus, delivering 168.0 GB/s bandwidth.

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

A: The RTX 5880 Ada is in the 85th percentile, while the RX 5300M is in the 80th percentile. The RTX 5880 Ada’s average benchmark score is 45,972, versus 36,529 for the RX 5300M.

Q: Are both GPUs currently in production?

A: No. The RTX 5880 Ada has an active production status, while the RX 5300M is listed as end-of-life.

Q: What is the power draw difference between the two?

A: The RTX 5880 Ada has a thermal design power of 285 W and requires a 600 W power supply, using a single 16-pin connector. The RX 5300M has a TDP of 85 W and uses no power connectors, as it is a mobile part.

Architecture Differences

The two GPUs come from different architectural generations and design philosophies. The NVIDIA RTX 5880 Ada Generation is built on the Ada Lovelace architecture, using the AD102 chip, and is fabricated on a 5 nm process at TSMC. The chip contains 76,300 million transistors on a 609 mm² die, yielding a transistor density of 125.3 million transistors per square millimeter. This is a massive, high-end workstation chip designed for maximum compute throughput and memory bandwidth.

The AMD Radeon RX 5300M uses the RDNA 1.0 architecture, with the Navi 14 chip, manufactured on a 7 nm process also at TSMC. The Navi 14 die is 158 mm² and contains 6,400 million transistors, resulting in a density of 40.5 million transistors per square millimeter. This is a much smaller, more power-efficient chip intended for mobile use.

Key architectural differences include the presence of dedicated ray tracing cores and tensor cores on the RTX 5880 Ada, numbering 110 and 440 respectively. The RX 5300M has no such hardware. The RTX 5880 Ada supports DirectX 12 Ultimate (12_2), while the RX 5300M supports DirectX 12 (12_1). Both support OpenGL 4.6 and Vulkan 1.4. The RTX 5880 Ada also offers a 1:1 ratio for FP16 and FP32 compute, both at 69.27 TFLOPS, whereas the RX 5300M has a 2:1 ratio, with FP16 at 8.138 TFLOPS and FP32 at 4.069 TFLOPS.

The memory subsystem reflects the different purposes. The RTX 5880 Ada uses a 384-bit bus with 48 GB of GDDR6 and 864.0 GB/s bandwidth, while the RX 5300M uses a 96-bit bus with 3 GB and 168.0 GB/s. The RTX 5880 Ada also has a much higher pixel rate at 433.0 GPixel/s versus 46.24 GPixel/s, and a texture rate of 1,082.4 GTexel/s versus 127.2 GTexel/s. These are not incremental differences; they are orders of magnitude apart in raw capability.

Specification Differences

The specification sheets for the two GPUs show almost no overlap. The RTX 5880 Ada has 14,080 shading units, 440 texture mapping units, and 176 render output units. The RX 5300M has 1,408 shading units, 88 TMUs, and 32 ROPs. The NVIDIA part features 110 ray tracing cores and 440 tensor cores, while the AMD part lists neither. Clock speeds differ as well: the RTX 5880 Ada boosts to 2460 MHz with a base of 975 MHz, while the RX 5300M has a base of 1000 MHz, a game clock of 1181 MHz, and a boost of 1445 MHz. Memory clocks are 2250 MHz (18 Gbps effective) for the NVIDIA card and 1750 MHz (14 Gbps effective) for the AMD.

The bus interface differs: the RTX 5880 Ada uses PCIe 4.0 x16, while the RX 5300M uses PCIe 4.0 x8. Display outputs are also different: the NVIDIA card has 4x DisplayPort 1.4a, while the AMD card is listed as “Portable Device Dependent,” reflecting its mobile nature. The RTX 5880 Ada is a dual-slot card measuring 267 mm in length and 112 mm in height, with a 16-pin power connector and a suggested 600 W power supply. The RX 5300M has no dimensions listed, no power connector, and no suggested PSU, as it is a mobile component. The TDP gap is significant: 285 W for the NVIDIA versus 85 W for the AMD. Release dates also differ, with the RTX 5880 Ada launching in early 2024 and the RX 5300M in late 2019.

Head-to-Head Benchmarks

The database contains exactly one head-to-head benchmark between these two GPUs: Geekbench OpenCL. The NVIDIA RTX 5880 Ada Generation scores 326,898, while the AMD Radeon RX 5300M scores 36,529. This yields a delta of 794.9% in favor of the NVIDIA card. That is not a close contest; the RTX 5880 Ada outperforms the RX 5300M by nearly nine times in raw OpenCL compute.

Looking at the nearest rivals in the database provides context for each card’s standing. The RTX 5880 Ada’s average benchmark score of 45,972 places it within 0.2% of the NVIDIA RTX A2000 (46,043), 0.8% ahead of the Intel Arc A730M (45,592), 1.3% ahead of the AMD Radeon Pro 5500 XT (45,384), and 1.4% behind the AMD Radeon RX 5600M (46,601). This suggests that, despite its massive OpenCL score, the RTX 5880 Ada’s overall average is closely grouped with mid-range workstation and mobile parts, though the OpenCL result itself is exceptional.

The RX 5300M’s average score of 36,529 is essentially tied with the NVIDIA GeForce GTX TITAN X (36,530, a 0% delta), 0.7% ahead of the NVIDIA T1000 (36,289), 1.7% behind the AMD Radeon PRO W6400 (37,157), and 1.9% ahead of the AMD Radeon Pro Duo (35,860). These rivals are all older or lower-tier products, indicating that the RX 5300M was never a high-performance part even in its own generation.

The RTX 5880 Ada also has a full suite of other benchmark results: Passmark DirectX 10 (167), DirectX 11 (228), DirectX 12 (70), DirectX 9 (335), G2D (777), G3D (25,096), and GPU compute (14,208). The RX 5300M has no recorded results for those tests, so no direct comparison is possible beyond OpenCL. The wins tally in the head-to-head section shows 1 win for the NVIDIA card and 0 for the AMD.

Where Each One Wins

The NVIDIA RTX 5880 Ada Generation wins decisively in every category where data exists. In OpenCL compute, it is nearly nine times faster. In memory capacity, it offers 48 GB versus 3 GB, which is a 16-fold difference. In bandwidth, it provides 864.0 GB/s versus 168.0 GB/s, a 5.1-fold advantage. In shading units, TMUs, and ROPs, it has 10 times, 5 times, and 5.5 times the counts respectively. For any workload that leverages FP32 or FP16 compute, the RTX 5880 Ada’s 69.27 TFLOPS in both formats dwarfs the RX 5300M’s 4.069 TFLOPS FP32 and 8.138 TFLOPS FP16.

The RX 5300M’s only advantage is in power efficiency and size. Its 85 W TDP is a fraction of the RTX 5880 Ada’s 285 W, and it has no power connector, making it suitable for laptops where the NVIDIA card’s dual-slot design and 16-pin connector are impossible. However, that is a niche benefit. For desktop workstations or any system where power delivery is not constrained, the RTX 5880 Ada is the superior choice in every recorded benchmark and specification.

In practical terms, the RTX 5880 Ada is meant for professional workloads such as 3D rendering, scientific simulation, and large-scale data processing, where 48 GB of memory and 110 ray tracing cores provide a clear advantage. The RX 5300M was designed for mainstream gaming laptops in 2019, with no ray tracing support and limited memory. The data shows no scenario where the RX 5300M wins a compute or graphics task against the RTX 5880 Ada. For any builder comparing these two, the decision is obvious: the NVIDIA card is the only viable choice for performance, while the AMD card is a historical artifact with no current use case beyond power-constrained mobile systems.