AMD Radeon RX 5300M vs NVIDIA GeForce RTX 5070 Comparison

The NVIDIA GeForce RTX 5070 and AMD Radeon RX 5300M represent two distinct generations of GPU technology, separated by nearly six years of architectural evolution. The benchmark data shows a dominant performance gap, with the RTX 5070 delivering a 372.7% higher score in the only shared test, Geekbench OpenCL, posting 172,660 points against the RX 5300M's 36,529. This single-metric comparison underscores a fundamental shift in compute capability, but the differences extend far beyond raw performance into memory subsystems, feature sets, and production status.

Head-to-Head Benchmarks

The sole direct benchmark comparison available is the Geekbench OpenCL test, and the results are decisive. The NVIDIA GeForce RTX 5070 scores 172,660, while the AMD Radeon RX 5300M manages 36,529, yielding a delta of 372.7% in favor of the NVIDIA part. This is not a marginal improvement; it is a generational leap that places the two cards in entirely different performance tiers. The RTX 5070's average benchmark score across all tests is 40,377, while the RX 5300M's average is 36,529, meaning the AMD card's best result is actually lower than the NVIDIA card's typical performance across a broader suite.

Looking at the RTX 5070's other results, its Passmark G3D score of 29,137 and GPU Compute score of 15,787 demonstrate strong synthetic performance, though these have no direct RX 5300M counterpart. The Geekbench Vulkan score of 178,923 for the RTX 5070 further reinforces its compute advantage. The RX 5300M, with only a single OpenCL benchmark in the dataset, cannot be compared across the same breadth of tests. However, its percentile ranking of 80 against all GPUs is only slightly below the RTX 5070's 82nd percentile, indicating that while the raw scores differ massively, the AMD card still holds its own relative to the broader GPU landscape of its era.

The nearest rivals data provides additional context. The RTX 5070's closest competitor is the AMD Radeon Pro 580, with an average score of 40,318, just 0.1% behind, while the AMD Radeon Pro 5300 sits 1.2% ahead. For the RX 5300M, the NVIDIA GeForce GTX TITAN X matches its score almost exactly (36,530, 0% delta), and the NVIDIA T1000 trails by 0.7%. This shows that the RX 5300M competes with older high-end desktop parts, whereas the RTX 5070 sits near the top of the modern stack, despite its relatively modest 82nd percentile.

Architecture Differences

The architectural gap between these GPUs is vast. The RTX 5070 uses the GB205 chip built on NVIDIA's Blackwell 2.0 architecture, manufactured on a 5 nm process at TSMC. It packs 31,100 million transistors into a 263 mm² die, achieving a transistor density of 118.3 million per square millimeter. In contrast, the RX 5300M uses the Navi 14 chip with AMD's RDNA 1.0 architecture, fabricated on TSMC's 7 nm process. This older design contains just 6,400 million transistors on a 158 mm² die, with a density of 40.5 million per square millimeter. The RTX 5070 thus integrates nearly five times as many transistors, enabling far more complex compute resources.

The compute configurations differ dramatically. The RTX 5070 features 6,144 shading units, 192 texture mapping units, 80 ROPs, 48 RT cores, and 192 tensor cores. The RX 5300M has only 1,408 shading units, 88 TMUs, and 32 ROPs, with no RT or tensor cores at all. This means the NVIDIA card supports hardware-accelerated ray tracing and AI workloads through dedicated silicon, while the AMD card relies entirely on shader-based processing. In terms of raw throughput, the RTX 5070 delivers 30.87 TFLOPS of FP32 performance, while the RX 5300M manages 4.069 TFLOPS—a 7.6x difference. The FP16 rates tell a similar story: the RTX 5070 achieves 30.87 TFLOPS (1:1 ratio), while the RX 5300M hits 8.138 TFLOPS (2:1 ratio), showing the NVIDIA card's compute resources are more balanced for modern workloads.

Memory architecture is another major divider. The RTX 5070 comes with 12 GB of GDDR7 memory on a 192-bit bus, delivering 672.0 GB/s of bandwidth. The RX 5300M offers only 3 GB of GDDR6 on a 96-bit bus, with 168.0 GB/s. This quadruples the memory capacity and quadruples the bandwidth, which is critical for high-resolution textures and compute-heavy tasks. The RTX 5070 also supports PCIe 5.0 x16, while the RX 5300M uses PCIe 4.0 x8, further widening the data transfer gap. Feature support also differs: the RTX 5070 supports DirectX 12 Ultimate (12_2), while the RX 5300M is limited to DirectX 12 (12_1), meaning the NVIDIA card is ready for the latest rendering features like mesh shaders and variable rate shading.

FAQ

Q: Which GPU has a higher average benchmark score?

A: The NVIDIA GeForce RTX 5070 has an average benchmark score of 40,377, compared to the AMD Radeon RX 5300M's 36,529. This represents a 10.5% advantage for the RTX 5070 across all tested workloads.

Q: How much faster is the RTX 5070 in the shared Geekbench OpenCL test?

A: The RTX 5070 scores 172,660, while the RX 5300M scores 36,529, making the NVIDIA card 372.7% faster in this specific compute benchmark.

Q: Does the RTX 5070 support ray tracing hardware?

A: Yes, the RTX 5070 includes 48 dedicated RT cores as part of its Blackwell 2.0 architecture. The RX 5300M, based on RDNA 1.0, has no RT cores and cannot accelerate ray tracing in hardware.

Q: What are the memory specifications of each card?

A: The RTX 5070 features 12 GB of GDDR7 memory with a 192-bit bus and 672.0 GB/s bandwidth. The RX 5300M has 3 GB of GDDR6 memory with a 96-bit bus and 168.0 GB/s bandwidth.

Q: Which GPU has a higher transistor count?

A: The RTX 5070 contains 31,100 million transistors, while the RX 5300M has 6,400 million. This is a 4.9x difference in transistor count.

Q: Are both GPUs currently in production?

A: No. The RTX 5070 has an active production status, while the RX 5300M is marked as end-of-life.

Specification Differences

| Specification | NVIDIA GeForce RTX 5070 | AMD Radeon RX 5300M |

|---|---|---|

| Architecture | Blackwell 2.0 | RDNA 1.0 |

| Process Node | 5 nm | 7 nm |

| Transistors | 31,100 million | 6,400 million |

| Die Size | 263 mm² | 158 mm² |

| Transistor Density | 118.3M / mm² | 40.5M / mm² |

| Base Clock | 2325 MHz | 1000 MHz |

| Boost Clock | 2512 MHz | 1445 MHz |

| Game Clock | N/A | 1181 MHz |

| Memory Size | 12 GB | 3 GB |

| Memory Type | GDDR7 | GDDR6 |

| Memory Bus | 192 bit | 96 bit |

| Memory Bandwidth | 672.0 GB/s | 168.0 GB/s |

| Shading Units | 6144 | 1408 |

| TMUs | 192 | 88 |

| ROPs | 80 | 32 |

| RT Cores | 48 | N/A |

| Tensor Cores | 192 | N/A |

| Pixel Rate | 201.0 GPixel/s | 46.24 GPixel/s |

| Texture Rate | 482.3 GTexel/s | 127.2 GTexel/s |

| FP32 Performance | 30.87 TFLOPS | 4.069 TFLOPS |

| FP16 Performance | 30.87 TFLOPS (1:1) | 8.138 TFLOPS (2:1) |

| TDP | 250 W | 85 W |

| Bus Interface | PCIe 5.0 x16 | PCIe 4.0 x8 |

| Display Outputs | 1x HDMI 2.1b, 3x DisplayPort 2.1b | Portable Device Dependent |

| DirectX Support | 12 Ultimate (12_2) | 12 (12_1) |

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

| Release Date | 2025-03-03 | 2019-11-12 |

| Predecessor | GeForce 40 | Polaris Mobile |

Where Each One Wins

The NVIDIA GeForce RTX 5070 wins decisively in virtually every measurable category. Its 372.7% advantage in OpenCL compute makes it the clear choice for GPU-accelerated workloads such as rendering, scientific simulation, and machine learning inference. The 12 GB GDDR7 memory with 672.0 GB/s bandwidth allows it to handle large datasets and high-resolution textures that would exhaust the RX 5300M's 3 GB pool. The presence of 48 RT cores and 192 tensor cores means the RTX 5070 can run ray-traced games and AI features like DLSS, which the RX 5300M cannot do at a hardware level. Its higher pixel rate of 201.0 GPixel/s versus 46.24 GPixel/s also makes it far better suited to high-refresh-rate gaming at 1440p or 4K.

The AMD Radeon RX 5300M's advantages are narrower but still relevant. Its 85 W TDP is significantly lower than the RTX 5070's 250 W, making it far more power-efficient for thin-and-light laptops where thermal headroom is limited. The RX 5300M's lack of a power connector and its portable-device-dependent display outputs indicate it was designed for mobile integration, not desktop use. Its 7 nm process, while older, was efficient for its time, and the 2:1 FP16 ratio (8.138 TFLOPS) shows it could handle some half-precision workloads competently. However, with no direct benchmark wins and end-of-life status, the RX 5300M's practical utility today is limited to legacy systems or budget mobile configurations where raw performance is secondary to power constraints. For any user prioritizing performance, features, or future-proofing, the RTX 5070 is the only rational choice.