AMD Radeon RX Vega 64 vs NVIDIA RTX A6000 Comparison

Launched in 2017 for consumers and in 2020 for workstations, the AMD Radeon RX Vega 64 and NVIDIA RTX A6000 represent two very different eras and design philosophies in GPU architecture. The data shows a clear performance hierarchy, but the comparison is more nuanced than simple frame rates, as the two cards target entirely different workloads, with the A6000 demonstrating a commanding lead in compute-oriented benchmarks while the Vega 64 holds its own in its specific legacy niche.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The AMD Radeon RX Vega 64 has a higher average benchmark score of 50,001 compared to the NVIDIA RTX A6000's 44,075. This places the Vega 64 in the 86th percentile of all GPUs, while the A6000 sits in the 84th percentile.

Q: How does the NVIDIA RTX A6000 perform in OpenCL compared to the AMD Radeon RX Vega 64?

A: The NVIDIA RTX A6000 achieves a Geekbench OpenCL score of 193,937, which is 67.7% higher than the AMD Radeon RX Vega 64's score of 62,552. This is a decisive victory for the A6000 in this compute workload.

Q: Is the AMD Radeon RX Vega 64 competitive in Vulkan benchmarks?

A: While the Vega 64 scores 67,032 in Geekbench Vulkan, it still trails the NVIDIA RTX A6000, which scores 164,462. The delta is 59.2% in favor of the A6000, indicating a significant performance gap in this API.

Q: What are the memory specifications of each card?

A: The AMD Radeon RX Vega 64 has 8 GB of HBM2 memory on a 2048-bit bus, yielding 483.8 GB/s of bandwidth. The NVIDIA RTX A6000 has 48 GB of GDDR6 memory on a 384-bit bus, providing 768.0 GB/s of bandwidth.

Q: Which GPU has more shading units and texture mapping units?

A: The NVIDIA RTX A6000 has 10,752 shading units and 336 TMUs, whereas the AMD Radeon RX Vega 64 has 4,096 shading units and 256 TMUs. The A6000 also has more ROPs, with 112 versus 64.

Q: Do these cards support different versions of DirectX?

A: Yes. The AMD Radeon RX Vega 64 supports DirectX 12 (12_1), while the NVIDIA RTX A6000 supports DirectX 12 Ultimate (12_2), which includes more advanced features.

Architecture Differences

The foundational difference lies in the process node and architecture generation. The AMD Radeon RX Vega 64 is built on a 14 nm process at GlobalFoundries using the GCN 5.0 architecture with the Vega 10 chip. In contrast, the NVIDIA RTX A6000 uses an 8 nm process at Samsung, employing the Ampere architecture with the GA102 chip. This process advantage allows the A6000 to pack 28,300 million transistors into a 628 mm² die, while the Vega 64 fits 12,500 million transistors into a 495 mm² die. Consequently, the transistor density is nearly double on the A6000, at 45.1M / mm² versus 25.3M / mm².

The compute capabilities diverge sharply. The A6000 features dedicated 84 RT cores and 336 tensor cores, which are absent from the Vega 64. This indicates the A6000 is designed for hardware-accelerated ray tracing and AI workloads, whereas the Vega 64 relies purely on traditional shader compute. In terms of raw throughput, the A6000's FP32 performance is 38.71 TFLOPS, more than three times the Vega 64's 12.66 TFLOPS. The FP16 performance also differs: the A6000 achieves 38.71 TFLOPS at a 1:1 ratio, while the Vega 64 reaches 25.33 TFLOPS at a 2:1 ratio.

Memory architecture is another major differentiator. The Vega 64 uses 8 GB of HBM2 with a 2048-bit bus, which is a wide but limited-capacity configuration. The A6000 uses 48 GB of GDDR6 on a 384-bit bus, offering six times the capacity and 58.7% more bandwidth (768.0 GB/s versus 483.8 GB/s). The bus interface also differs, with the Vega 64 on PCIe 3.0 x16 and the A6000 on PCIe 4.0 x16, providing the latter with more host bandwidth for data transfer.

Head-to-Head Benchmarks

The head-to-head data contains two direct comparisons, both of which are won decisively by the NVIDIA RTX A6000. In Geekbench OpenCL, the A6000 scores 193,937 against the Vega 64's 62,552, a delta of 67.7% in favor of NVIDIA. This massive gap reflects the A6000's superior compute throughput, which is essential for professional rendering and simulation tasks.

In Geekbench Vulkan, the A6000 again dominates with a score of 164,462 versus the Vega 64's 67,032, representing a 59.2% difference. While Vulkan is often associated with gaming, the A6000's advantage here suggests its architecture scales better even in modern graphics APIs. The Vega 64, despite being a capable card in its time, simply cannot match the raw execution resources of the A6000—the latter has 2.6 times the shading units and 1.3 times the TMUs.

Notably, the Vega 64 does not win any of the head-to-head tests. However, its standalone benchmarks show it is not obsolete: it scores 1,669 in 3DMark Steel Nomad DX12 and 68,750 in Geekbench Metal, indicating reasonable performance in legacy and Apple-centric workloads. The A6000, interestingly, has no such entries in its benchmark list, suggesting its focus is on workstation compute rather than consumer graphics tests. The overall average scores are close—50,001 for Vega 64 and 44,075 for A6000—but this is skewed by the different benchmark suites each card was subjected to, with the Vega 64's suite including lighter tests.

Specification Differences

The two GPUs differ across nearly every specification category. The process node is 14 nm for AMD versus 8 nm for NVIDIA, with corresponding differences in die size and transistor count. The A6000 has a higher base clock (1410 MHz) and boost clock (1800 MHz) compared to the Vega 64's 1247 MHz base and 1546 MHz boost. Memory speed also favors the A6000, with 16 Gbps effective versus 1890 Mbps effective, though the Vega 64's HBM2 uses a much wider bus.

The compute units are starkly different: the A6000 has 10,752 shading units, 336 TMUs, and 112 ROPs, versus the Vega 64's 4,096, 256, and 64 respectively. The A6000 includes 84 RT cores and 336 tensor cores, which the Vega 64 lacks entirely. Pixel and texture rates reflect this: the A6000 achieves 201.6 GPixel/s and 604.8 GTexel/s, while the Vega 64 manages 98.94 GPixel/s and 395.8 GTexel/s.

Power and connectivity also diverge. The Vega 64 has a TDP of 295 W and requires 2x 8-pin power connectors, with a suggested PSU of 600 W. The A6000 has a slightly higher TDP of 300 W but uses a single 8-pin EPS connector, suggesting a different power delivery design for professional environments, and requires a 700 W PSU. Display outputs differ as well: the Vega 64 offers 1x HDMI 2.0b and 3x DisplayPort 1.4a, while the A6000 provides 4x DisplayPort 1.4a with no HDMI. The A6000's API support is more modern, including DirectX 12 Ultimate (12_2) and Vulkan 1.4, compared to the Vega 64's DirectX 12 (12_1) and Vulkan 1.3.

The Verdict

The data is unambiguous: the NVIDIA RTX A6000 is the superior performer in every head-to-head benchmark, with a 67.7% lead in OpenCL and a 59.2% lead in Vulkan over the AMD Radeon RX Vega 64. For any workload that leverages compute, ray tracing, or tensor operations, the A6000 is the clear choice—its 48 GB of memory, 84 RT cores, and 336 tensor cores make it a professional-grade solution for rendering, AI, and data science. The Vega 64, with its 8 GB of HBM2 and lack of dedicated RT/tensor hardware, is simply outclassed for modern professional tasks.

However, the Vega 64's higher average benchmark score (50,001 vs 44,075) and its position in the 86th percentile of all GPUs (versus the A6000's 84th) indicate that it remains a competent card for its generation, particularly in legacy DirectX and Metal workloads. Users with older software stacks or those on a system that only supports PCIe 3.0 may find the Vega 64 serviceable, especially given its smaller 280 mm length and dual-slot form factor. For anyone building a workstation today, the A6000's architectural advantages—more than double the shading units, triple the FP32 throughput, and six times the memory—make it the only rational choice for professional compute. The Vega 64's launch MSRP was 499 USD, while the A6000's was 4,649 USD, reflecting their vastly different market positions, but the performance data justifies the A6000's premium for users who need its capabilities.