AMD Radeon PRO V620 vs NVIDIA RTX 6000 Ada Generation Comparison
AMD Radeon PRO V620
RTX 6000 Ada Generation
PERFORMANCE BENCHMARKS
Analysis: AMD Radeon PRO V620 vs NVIDIA RTX 6000 Ada Generation
The NVIDIA RTX 6000 Ada Generation and AMD Radeon PRO V620 represent two distinct approaches to workstation graphics, separated by a generation of architecture and a significant gap in raw compute resources. The benchmark data shows a clear hierarchy, but the specifics of where and why the NVIDIA card dominates reveal interesting details about how each GPU is engineered. The RTX 6000 Ada Generation wins both head-to-head tests, yet the AMD card's position in the 96th percentile of all GPUs indicates it is still a formidable performer in its own right.
Head-to-Head Benchmarks
The most striking difference emerges in the Geekbench OpenCL test, where the NVIDIA RTX 6000 Ada Generation scores 311,629 against the AMD Radeon PRO V620's 128,580. This translates to a delta of 142.4%, meaning the NVIDIA card is nearly two and a half times faster in this compute-heavy workload. The margin is enormous and suggests that the RTX 6000’s architectural advantages—its larger shader count and dedicated tensor cores—provide a massive throughput benefit in OpenCL applications that can leverage parallel floating-point operations.
The Geekbench Vulkan test narrows the gap somewhat, though the NVIDIA card still wins decisively. Here, the RTX 6000 Ada scores 262,845, while the Radeon PRO V620 manages 144,364, a delta of 82.1%. While still a landslide victory, the smaller percentage difference hints that the AMD card's RDNA 2 architecture handles graphics-oriented APIs more efficiently relative to its raw compute specs. It is importantly the Vulkan result for the RTX 6000 is actually lower than its OpenCL score, whereas the AMD card scores higher in Vulkan than in OpenCL. This suggests the AMD architecture is better tuned for draw-call-heavy workloads, even if it cannot match the raw computational muscle of the NVIDIA part.
Looking at the average benchmark scores, the RTX 6000 Ada Generation posts 287,237, placing it in the 99th percentile of all GPUs. The Radeon PRO V620 averages 136,472, which is in the 96th percentile. The 150,765-point average gap is substantial, but the percentile difference of just 3 points shows that both are elite-tier workstation parts. In the context of its nearest rivals, the RTX 6000 Ada is 1.1% ahead of the NVIDIA L40, 14.4% ahead of the NVIDIA L20, but trails the AMD Instinct MI300X by 9.7% and the NVIDIA L40S by 2.9%. The Radeon PRO V620, meanwhile, is in a tight pack with its closest competitors, sitting just 0.5% ahead of the AMD Radeon Pro W6800X Duo and 0.9% ahead of both the AMD Radeon PRO W6800 and the NVIDIA RTX 4000 Ada Generation.
Architecture Differences
The fundamental divide lies in the silicon itself. The NVIDIA RTX 6000 Ada Generation uses the AD102 chip built on a 5 nm process at TSMC, containing 76,300 million transistors on a 609 mm² die. This yields a transistor density of 125.3 million per square millimeter. In contrast, the AMD Radeon PRO V620 uses the Navi 21 chip on a 7 nm process, also from TSMC, with 26,800 million transistors on a 520 mm² die, resulting in a density of just 51.5 million per square millimeter. The process node advantage alone explains a significant portion of the performance gap, as the NVIDIA chip packs nearly three times as many transistors into a die that is only 17% larger.
Core counts diverge even more dramatically. The RTX 6000 Ada features 18,176 shading units, 568 texture mapping units, and 192 ROPs. It also includes 142 RT cores and 568 tensor cores. The Radeon PRO V620, by comparison, has 4,608 shading units, 288 TMUs, and 128 ROPs, along with 72 RT cores but no tensor cores at all. This is a 4:1 ratio in shading units and a 2:1 ratio in RT cores, which directly explains the FP32 performance figures: 91.06 TFLOPS for the NVIDIA card versus 20.28 TFLOPS for the AMD card. Interestingly, the AMD card's FP16 performance is 40.55 TFLOPS, which is a 2:1 ratio to its FP32, while the NVIDIA card achieves 91.06 TFLOPS in FP16 with a 1:1 ratio. This means the RTX 6000 handles FP16 workloads just as fast as FP32, whereas the Radeon PRO V620 sacrifices FP32 throughput to double its FP16 rate.
Memory configurations also favor the NVIDIA card heavily. The RTX 6000 Ada comes with 48 GB of GDDR6 on a 384-bit bus, delivering 960.0 GB/s of bandwidth. The Radeon PRO V620 has 32 GB of GDDR6 on a narrower 256-bit bus, yielding 512.0 GB/s. The memory clock difference is notable: the NVIDIA card runs at 2500 MHz (20 Gbps effective), while the AMD card runs at 2000 MHz (16 Gbps effective). The combination of a wider bus and faster memory gives the RTX 6000 nearly double the bandwidth, which is critical for large dataset manipulation in scientific computing and AI inference.
The Verdict
The data is unambiguous: the NVIDIA RTX 6000 Ada Generation is the superior GPU for raw compute performance. It wins both benchmark tests by margins of 142.4% and 82.1%, respectively, and its average score is more than double that of the AMD Radeon PRO V620. The RTX 6000's 99th percentile ranking versus the AMD card's 96th percentile further cements its position at the very top of the workstation GPU hierarchy.
However, the Radeon PRO V620 should not be dismissed as obsolete. Its 96th percentile score and tight competition with the NVIDIA RTX 4000 Ada Generation (delta of 0.9%) show that it remains a capable workstation solution. The AMD card's advantage is its efficiency in specific API contexts—it performs relatively better in Vulkan than in OpenCL, suggesting it may be a better fit for graphics-centric workloads that rely on that API. The absence of tensor cores on the AMD side, though, means it cannot accelerate AI and machine learning tasks the way the RTX 6000's 568 tensor cores can.
For a buyer who needs the absolute maximum compute throughput, the RTX 6000 Ada Generation is the clear choice. For a buyer who prioritizes a lower-density transistor design and is working within an RDNA 2 ecosystem, the Radeon PRO V620 still holds its own against similarly priced rivals. The data does not support any scenario where the AMD card outperforms the NVIDIA card in absolute terms, but it does suggest that the AMD card has a unique performance profile that may be sufficient for less demanding workstation tasks.
FAQ
Q: How much faster is the NVIDIA RTX 6000 Ada Generation in OpenCL?
A: The RTX 6000 Ada scores 311,629 compared to the Radeon PRO V620's 128,580, resulting in a 142.4% performance advantage.
Q: Does the AMD Radeon PRO V620 have any tensor cores?
A: No, the Radeon PRO V620 has no tensor cores, while the RTX 6000 Ada features 568 tensor cores for AI acceleration.
Q: What is the memory bandwidth difference between the two cards?
A: The RTX 6000 Ada offers 960.0 GB/s over a 384-bit bus, while the Radeon PRO V620 provides 512.0 GB/s over a 256-bit bus.
Q: Which GPU has a higher transistor count?
A: The NVIDIA RTX 6000 Ada has 76,300 million transistors, compared to 26,800 million on the AMD Radeon PRO V620.
Q: How do the two cards compare in Vulkan benchmarks?
A: The RTX 6000 Ada scores 262,845, which is 82.1% higher than the Radeon PRO V620's 144,364.
Q: Are both cards still in production?
A: No, both are marked as end-of-life products in the data.
Where Each One Wins
The NVIDIA RTX 6000 Ada Generation wins in every measured category: OpenCL, Vulkan, and average benchmark score. Its wins are most pronounced in compute-heavy tasks, where its 91.06 TFLOPS FP32 performance and 568 tensor cores provide a massive edge. The AMD Radeon PRO V620 does not win any head-to-head test, but its relative Vulkan performance (82.1% delta versus 142.4% in OpenCL) indicates a comparative strength in graphics API workloads. The AMD card's narrower memory bus and lower bandwidth suggest it is less suited for massive data sets, but its smaller die and lower transistor count imply better thermal efficiency per transistor, though this is not directly measured.
For a workstation focused on AI training, scientific simulation, or high-resolution rendering, the RTX 6000 Ada's tensor cores and 48 GB frame buffer are decisive. For a workstation running OpenGL or Vulkan-based CAD applications where the data set fits within 32 GB, the Radeon PRO V620 may offer sufficient performance at a lower absolute cost, although pricing data is not available for the AMD card.
Specification Differences
- Process Node: The RTX 6000 Ada uses a 5 nm process, while the Radeon PRO V620 uses a 7 nm process, both from TSMC.
- Transistors: The NVIDIA card has 76,300 million, versus 26,800 million for AMD.
- Die Size: NVIDIA's die is 609 mm², AMD's is 520 mm².
- Shading Units: 18,176 on the RTX 6000 Ada, 4,608 on the Radeon PRO V620.
- TMUs: 568 vs. 288.
- ROPs: 192 vs. 128.
- RT Cores: 142 vs. 72.
- Tensor Cores: 568 on NVIDIA; none on AMD.
- FP32 Performance: 91.06 TFLOPS vs. 20.28 TFLOPS.
- FP16 Performance: 91.06 TFLOPS (1:1) vs. 40.55 TFLOPS (2:1).
- Memory Size: 48 GB vs. 32 GB.
- Memory Bus Width: 384-bit vs. 256-bit.
- Memory Bandwidth: 960.0 GB/s vs. 512.0 GB/s.
- Memory Clock: 2500 MHz (20 Gbps effective) vs. 2000 MHz (16 Gbps effective).
- Base Clock: 915 MHz vs. 1825 MHz.
- Boost Clock: 2505 MHz vs. 2200 MHz.
- Power Connectors: 1x 16-pin vs. 2x 8-pin.
- Display Outputs: 4x DisplayPort 1.4a vs. No outputs.
- Height: 112 mm vs. 120 mm; the AMD card is also 50 mm wide, while the NVIDIA card's width is not listed.
- Release Date: The RTX 6000 Ada launched on 2022-12-02; the Radeon PRO V620 launched on 2021-11-03.