AMD Radeon Pro 5300 vs NVIDIA RTX A1000 Comparison

FAQ

Q: How do the two cards compare in overall benchmark standing?

A: The AMD Radeon Pro 5300 sits in the 82nd percentile of all GPUs, while the NVIDIA RTX A1000 lands in the 79th percentile. The AMD card's average benchmark score is 40,870, compared to 34,207 for the NVIDIA card, making the Radeon Pro 5300 roughly 19% higher in aggregate.

Q: Which card wins in the head-to-head benchmark tests?

A: The NVIDIA RTX A1000 wins both recorded head-to-head tests. In Geekbench OpenCL, it scores 52,078 against the AMD's 38,747, a delta of -25.6% in favor of NVIDIA. In Geekbench Vulkan, the NVIDIA scores 49,574 versus 35,793, a -27.8% gap.

Q: What is the memory configuration difference?

A: The AMD Radeon Pro 5300 has 4 GB of GDDR6 on a 128-bit bus, delivering 224.0 GB/s bandwidth. The NVIDIA RTX A1000 doubles capacity to 8 GB of GDDR6 on the same 128-bit bus, but with lower bandwidth at 192.0 GB/s due to slower memory clocks.

Q: Which card has more compute units for parallel processing?

A: The NVIDIA RTX A1000 has 2,304 shading units, nearly double the AMD's 1,280. However, the AMD card has more texture mapping units (80 versus 72), while both have exactly 32 ROPs.

Q: What are the power requirements for each card?

A: The AMD Radeon Pro 5300 has a TDP of 85 W, while the NVIDIA RTX A1000 is more power-efficient at 50 W. Both cards draw power entirely from the motherboard, as neither has external power connectors, and both suggest a 250 W PSU.

Q: What is the production status and release timeline?

A: The AMD Radeon Pro 5300 is end-of-life and was released on 2020-08-03. The NVIDIA RTX A1000 is active and was released on 2024-04-15, positioning it as a much newer product with an ongoing lifecycle.

Architecture Differences

The two cards represent fundamentally different design philosophies from their respective manufacturers. The AMD Radeon Pro 5300 uses the Navi 14 chip built on RDNA 1.0 architecture, fabricated on TSMC's 7 nm process. The NVIDIA RTX A1000 employs the GA107 chip with Ampere architecture, manufactured on Samsung's 8 nm process. The process node difference is notable: 7 nm versus 8 nm, though the transistor counts tell a more complex story.

The NVIDIA chip integrates 8,700 million transistors on a 200 mm² die, while the AMD chip contains 6,400 million transistors on a smaller 158 mm² die. Interestingly, the transistor density is similar: 43.5M per mm² for NVIDIA versus 40.5M per mm² for AMD. This suggests the RDNA 1.0 design achieves comparable density despite fewer total transistors.

Clock behavior differs substantially. The AMD card boosts to 1650 MHz from a 1000 MHz base, while the NVIDIA card runs at a 727 MHz base and 1462 MHz boost. The AMD's higher clocks help it reach a texture rate of 132.0 GTexel/s versus NVIDIA's 105.3 GTexel/s, and a pixel rate of 52.80 GPixel/s versus 46.78 GPixel/s.

Feature support diverges in important ways. The NVIDIA RTX A1000 includes 18 ray tracing cores and 72 tensor cores, hardware that the AMD Radeon Pro 5300 completely lacks. This reflects the Ampere generation's focus on ray tracing and AI workloads. API support also differs: NVIDIA supports DirectX 12 Ultimate (12_2), while AMD only reaches DirectX 12 (12_1). Both support OpenGL 4.6 and Vulkan 1.4.

The memory subsystem shows a trade-off between capacity and speed. NVIDIA pairs 8 GB with 192.0 GB/s bandwidth, while AMD offers 4 GB with 224.0 GB/s. The AMD's memory runs at 1750 MHz with 14 Gbps effective speed versus NVIDIA's 1500 MHz at 12 Gbps effective. For memory-bound tasks, the AMD's higher bandwidth could compensate for lower capacity, but the NVIDIA's larger pool handles bigger datasets.

Physical design differs markedly. The AMD Radeon Pro 5300 is an integrated GPU (IGP) with no display outputs, designed for Apple Mac systems. The NVIDIA RTX A1000 is a single-slot card measuring 163 mm by 69 mm, with 4x mini-DisplayPort 1.4a outputs for direct monitor connection.

Head-to-Head Benchmarks

The head-to-head data contains only two benchmark comparisons, both favoring the NVIDIA RTX A1000 decisively. In Geekbench OpenCL, the NVIDIA scores 52,078 against AMD's 38,747. This represents a 25.6% advantage for NVIDIA. In Geekbench Vulkan, the gap widens slightly: NVIDIA scores 49,574 versus 35,793, a 27.8% lead.

These results are striking because the AMD card has a higher average benchmark score overall (40,870 versus 34,207) and a better percentile ranking (82 versus 79). The apparent contradiction resolves when examining the nearest rivals. The AMD Radeon Pro 5300 sits just 0.8% below the NVIDIA GeForce RTX 3080 Ti in average score, while the RTX A1000's average is pulled down by the 3DMark Steel Nomad DX12 result of 969, a low score that drags its aggregate down.

The OpenCL and Vulkan results reveal a consistent pattern: NVIDIA's Ampere architecture excels in compute-oriented APIs. The RTX A1000's 2,304 shading units provide raw compute headroom that the RDNA 1.0 architecture cannot match, even with its higher clock speeds. The FP32 throughput difference is substantial: 6.737 TFLOPS for NVIDIA versus 4.224 TFLOPS for AMD, a 59% advantage.

The Vulkan delta of -27.8% suggests the NVIDIA driver and architecture handle modern graphics APIs more efficiently. The AMD card's FP16 performance of 8.448 TFLOPS (2:1 ratio) versus NVIDIA's 6.737 TFLOPS (1:1 ratio) indicates AMD can process half-precision data faster, but the benchmark results show this does not translate to real-world API wins.

Specification Differences

| Specification | AMD Radeon Pro 5300 | NVIDIA RTX A1000 |

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

| Architecture | RDNA 1.0 | Ampere |

| Process Node | 7 nm (TSMC) | 8 nm (Samsung) |

| Transistors | 6,400 million | 8,700 million |

| Die Size | 158 mm² | 200 mm² |

| Base Clock | 1000 MHz | 727 MHz |

| Boost Clock | 1650 MHz | 1462 MHz |

| Memory Size | 4 GB | 8 GB |

| Memory Clock | 1750 MHz (14 Gbps) | 1500 MHz (12 Gbps) |

| Memory Bandwidth | 224.0 GB/s | 192.0 GB/s |

| Shading Units | 1280 | 2304 |

| TMUs | 80 | 72 |

| ROPs | 32 | 32 |

| RT Cores | None | 18 |

| Tensor Cores | None | 72 |

| FP32 | 4.224 TFLOPS | 6.737 TFLOPS |

| FP16 | 8.448 TFLOPS (2:1) | 6.737 TFLOPS (1:1) |

| Pixel Rate | 52.80 GPixel/s | 46.78 GPixel/s |

| Texture Rate | 132.0 GTexel/s | 105.3 GTexel/s |

| TDP | 85 W | 50 W |

| Slot Width | IGP | Single-slot |

| Display Outputs | None | 4x mini-DisplayPort 1.4a |

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

| Release Date | 2020-08-03 | 2024-04-15 |

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

| Length | Not specified | 163 mm (6.4 inches) |

| Height | Not specified | 69 mm (2.7 inches) |

Both cards share PCIe 4.0 x8 bus interfaces, no power connectors, and a suggested PSU of 250 W. Neither has a launch MSRP recorded in the database.

Where Each One Wins

The NVIDIA RTX A1000 wins in raw compute throughput. Its FP32 performance of 6.737 TFLOPS exceeds the AMD's 4.224 TFLOPS by 59%. The 2,304 shading units provide massive parallel processing capacity for rendering, simulation, and compute workloads. The dedicated 18 RT cores enable hardware-accelerated ray tracing, which the AMD card cannot perform. The 72 tensor cores accelerate AI and machine learning inference tasks, making the RTX A1000 the clear choice for modern professional workflows that incorporate these features.

The AMD Radeon Pro 5300 wins in memory bandwidth efficiency. Its 224.0 GB/s bandwidth exceeds the NVIDIA's 192.0 GB/s by 17%. The higher texture rate (132.0 GTexel/s versus 105.3 GTexel/s) and pixel rate (52.80 GPixel/s versus 46.78 GPixel/s) suggest better fill-rate performance for traditional rasterization workloads. The AMD also has more TMUs (80 versus 72), which helps in texture-heavy scenes. Its FP16 throughput of 8.448 TFLOPS doubles the FP32 rate, offering potential advantages in half-precision compute.

The AMD card also wins on aggregate benchmark scores. Its average of 40,870 places it near the NVIDIA GeForce RTX 3080 Ti (which scores 41,187, just 0.8% higher), while the RTX A1000's average of 34,207 sits close to the RTX A2000 12 GB (34,154, a 0.2% difference). In percentile ranking, the AMD's 82nd percentile versus NVIDIA's 79th indicates better overall standing in the database.

For power efficiency, the NVIDIA wins decisively: 50 W TDP versus 85 W, meaning the RTX A1000 delivers more compute per watt. The NVIDIA card also offers display outputs (4x mini-DisplayPort 1.4a), making it usable as a standalone workstation GPU, whereas the AMD is an integrated solution with no outputs.

The Verdict

The data paints a clear picture for different use cases. The NVIDIA RTX A1000 is the superior choice for compute-heavy professional workloads that leverage modern features. Its 59% FP32 advantage, dedicated ray tracing cores, and tensor cores make it the only option of the two for ray-traced rendering, AI inference, or CUDA-accelerated applications. The 8 GB memory capacity doubles the AMD's 4 GB, allowing larger datasets and textures. Its active production status and 2024 release date indicate ongoing driver support and availability.

The AMD Radeon Pro 5300 remains relevant for specific scenarios. Its higher memory bandwidth (224.0 GB/s) and texture rate (132.0 GTexel/s) benefit bandwidth-sensitive workloads. The 82nd percentile ranking and average score of 40,870 show it competes favorably with much newer hardware in aggregate performance. For systems already built around the Radeon Pro Mac platform, this integrated GPU requires no additional power or slot space.

However, the head-to-head results are unambiguous: the RTX A1000 wins both OpenCL and Vulkan comparisons by margins exceeding 25%. The benchmark data shows NVIDIA's Ampere architecture delivers superior real-world API performance despite lower clock speeds. The AMD's higher aggregate score comes from a different benchmark mix, not from direct competition.

The RTX A1000 is the recommended pick for users needing a current, active GPU with modern feature support, display connectivity, and power efficiency. The Radeon Pro 5300 serves legacy Mac systems and bandwidth-oriented workloads, but its end-of-life status and lack of ray tracing or tensor hardware limit its future-proofing. The data suggests NVIDIA for new builds and AMD for existing proprietary platforms.