AMD Radeon Pro Vega 64X vs NVIDIA GB10 Comparison

The NVIDIA GB10 and AMD Radeon Pro Vega 64X represent two distinct eras of GPU design, and the benchmark data reflects a clear generational divide. The GB10, a 2025 server-class part built on a 5 nm process, delivers an average benchmark score of 117,393, placing it in the 95th percentile of all GPUs. This is a massive leap over the Radeon Pro Vega 64X, which averages 80,959 and sits in the 92nd percentile. While both are high-end performers, the sheer numerical gap between them makes this comparison less about close competition and more about understanding the magnitude of architectural progress.

Head-to-Head Benchmarks

The only shared benchmark between the two GPUs is Geekbench OpenCL, and it tells a decisive story. The NVIDIA GB10 scores 120,137, while the AMD Radeon Pro Vega 64X scores 78,467. This gives the GB10 a 53.1% lead in that test. That is not a marginal victory; it is a dominant one. For context, the GB10’s score is roughly 1.53 times higher than the Vega 64X’s, meaning the GB10 can complete the same OpenCL workload in about two-thirds of the time. The data shows no benchmark where the AMD part wins, and the overall wins tally confirms this: the GB10 takes 1 win, the Vega 64X takes 0.

Looking at the rivals list, the GB10’s 120,137 OpenCL score is consistent with its average performance. Its nearest rival, the NVIDIA RTX 4000 SFF Ada Generation, averages 117,088, putting the GB10 just 0.3% ahead. Against the AMD Radeon PRO W7700, the GB10 is 1.3% behind, showing it sits at the top of a tightly packed group of modern workstation cards. The Vega 64X, by contrast, sits in a lower tier. Its average score of 80,959 places it just 1.3% behind the AMD Radeon PRO W6600 and 1.4% ahead of the NVIDIA GeForce RTX 5090. This means the Vega 64X is competitive with current mid-range to high-end consumer and workstation parts, but it is not in the same league as the GB10.

The FP32 compute figures reinforce this gap. The GB10 delivers 29.71 TFLOPS of FP32 performance, while the Vega 64X offers only 12.03 TFLOPS. That is a 2.47x difference in raw single-precision compute. Even in FP16, where the Vega 64X uses a 2:1 ratio to reach 24.05 TFLOPS, the GB10 matches its FP32 output at 29.71 TFLOPS with a 1:1 ratio. The GB10 does not need a ratio trick to hit high FP16 numbers; it just has more raw throughput.

Memory bandwidth is another area of significant divergence, though the winner is less obvious. The GB10 has 273.2 GB/s of bandwidth from its 128 GB LPDDR5X pool on a 256-bit bus. The Vega 64X, with only 16 GB of HBM2 on a 2048-bit bus, achieves 512.0 GB/s. The Vega 64X has 87.5% more bandwidth, which is a clear advantage for memory-heavy workloads. However, the GB10’s much higher compute throughput and larger memory capacity suggest it can process far more data per instruction, potentially mitigating the bandwidth deficit in many scenarios. The GB10 also has a 256-bit bus versus the Vega 64X’s 2048-bit bus, but the newer memory technology and higher effective clock speed of 8.5 Gbps versus 2 Gbps help close the gap.

The Verdict

The data is unambiguous: the NVIDIA GB10 is the superior performer in raw compute and overall benchmark scores. Its 53.1% lead in OpenCL and its 45% higher average benchmark score (117,393 vs 80,959) make it the clear choice for anyone prioritizing maximum compute throughput. The GB10 also benefits from a newer architecture, a smaller process node, and a much larger memory pool. If your workload is bound by FP32 or FP16 compute, the GB10 wins outright.

However, the Radeon Pro Vega 64X is not obsolete. It holds a significant memory bandwidth advantage, and its smaller memory footprint (16 GB vs 128 GB) may be sufficient for many tasks. The Vega 64X also has a higher pixel rate (93.95 GPixel/s vs 116.1 GPixel/s? No, the GB10 is higher) and texture rate (375.8 GTexel/s vs 928.5 GTexel/s? No, the GB10 is higher). In fact, the GB10 wins on pixel rate (116.1 vs 93.95 GPixel/s) and texture rate (928.5 vs 375.8 GTexel/s) as well. The Vega 64X only wins on memory bandwidth and memory bus width.

Who should pick which? If you need the fastest compute possible, the GB10 is the only rational choice. If you are constrained to a legacy platform, need massive memory bandwidth for a specific application, or require a GPU with a 2048-bit bus for a niche workload, the Vega 64X still has a role. But strictly from benchmark data, the GB10 is the stronger part. The Vega 64X is end-of-life, while the GB10 is active production.

Where Each One Wins

• Compute-Intensive Tasks: The GB10 wins decisively. Its 29.71 TFLOPS FP32 and 29.71 TFLOPS FP16 (1:1) dwarf the Vega 64X’s 12.03 TFLOPS FP32 and 24.05 TFLOPS FP16 (2:1). Any workload that scales with raw TFLOPS—simulation, AI inference, scientific computing—will favor the GB10.
• Memory-Capacity-Hungry Workloads: The GB10’s 128 GB LPDDR5X is 8x the capacity of the Vega 64X’s 16 GB HBM2. For datasets that exceed 16 GB, the GB10 is the only option.
• Bandwidth-Sensitive Tasks: The Vega 64X wins here. Its 512.0 GB/s bandwidth is 87.5% higher than the GB10’s 273.2 GB/s. For tasks that stream large amounts of data per compute operation, like certain rendering or data-processing pipelines, the Vega 64X may perform relatively better.
• Legacy Software Compatibility: The Vega 64X supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3. The GB10 lists N/A for all APIs, which suggests it may lack support for traditional graphics APIs. If you need those, the Vega 64X is the safer bet.
• Power Efficiency: The GB10 has a 140 W TDP versus the Vega 64X’s 250 W TDP. The GB10 delivers far more performance per watt, making it more efficient for sustained compute.
• Production Status: The GB10 is active; the Vega 64X is end-of-life. For new designs, the GB10 is the future-proof choice.

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA GB10 averages 117,393, while the AMD Radeon Pro Vega 64X averages 80,959. The GB10 is 45% higher.

Q: How much faster is the GB10 in Geekbench OpenCL?

A: The GB10 scores 120,137 versus 78,467 for the Vega 64X, giving the GB10 a 53.1% lead in that specific test.

Q: Does the Vega 64X have any advantage over the GB10?

A: Yes. The Vega 64X has 512.0 GB/s of memory bandwidth compared to the GB10’s 273.2 GB/s, and it has a 2048-bit memory bus versus the GB10’s 256-bit bus. It also supports DirectX 12, OpenGL 4.6, and Vulkan 1.3, which the GB10 does not list.

Q: What is the difference in memory capacity?

A: The GB10 has 128 GB of LPDDR5X, while the Vega 64X has 16 GB of HBM2. That is an 8x difference in capacity.

Q: Which GPU has better raw FP32 compute?

A: The GB10 delivers 29.71 TFLOPS, which is 2.47x higher than the Vega 64X’s 12.03 TFLOPS.

Q: Are these GPUs from the same generation?

A: No. The GB10 uses the Blackwell 2.0 architecture on a 5 nm process, released in 2025. The Vega 64X uses GCN 5.0 on a 14 nm process, released in 2019.

Architecture Differences

The two GPUs are separated by six years of architectural evolution. The NVIDIA GB10 is built on the Blackwell 2.0 architecture, using a 5 nm process from TSMC. Its die size is 382 mm², and it features 6,144 shading units, 384 TMUs, 48 ROPs, 48 RT cores, and 384 tensor cores. This is a massively parallel design focused on compute and AI workloads, with the tensor cores providing dedicated hardware for deep learning tasks. The GB10’s transistor count is listed as unknown, but the 5 nm node allows for a high density of logic.

The AMD Radeon Pro Vega 64X is based on the older GCN 5.0 architecture, manufactured on a 14 nm process by GlobalFoundries. It has a larger die at 495 mm² and contains 12,500 million transistors, giving a transistor density of 25.3M per mm². The Vega 64X has 4,096 shading units, 256 TMUs, and 64 ROPs. It has no RT cores and no tensor cores, reflecting its pre-ray-tracing, pre-AI-focused design. The Vega 64X’s memory is HBM2 on a 2048-bit bus, while the GB10 uses LPDDR5X on a 256-bit bus.

The API support differs starkly. The Vega 64X supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.3. The GB10 lists N/A for all three, indicating it is not designed for traditional graphics rendering APIs. The Vega 64X is also noted as a Radeon Pro Mac part, suggesting it was tailored for Apple Mac systems, while the GB10 is a server-class part. The GB10’s production status is active; the Vega 64X is end-of-life.

Specification Differences

The key specification differences are as follows:

• Process Node: GB10 is 5 nm; Vega 64X is 14 nm.
• Foundry: GB10 uses TSMC; Vega 64X uses GlobalFoundries.
• Die Size: GB10 is 382 mm²; Vega 64X is 495 mm².
• Transistors: GB10 is unknown; Vega 64X is 12,500 million.
• Base Clock: GB10 is 1665 MHz; Vega 64X is 1250 MHz.
• Boost Clock: GB10 is 2418 MHz; Vega 64X is 1468 MHz.
• Memory Size: GB10 is 128 GB; Vega 64X is 16 GB.
• Memory Type: GB10 is LPDDR5X; Vega 64X is HBM2.
• Memory Bus: GB10 is 256 bit; Vega 64X is 2048 bit.
• Memory Bandwidth: GB10 is 273.2 GB/s; Vega 64X is 512.0 GB/s.
• Shading Units: GB10 has 6144; Vega 64X has 4096.
• TMUs: GB10 has 384; Vega 64X has 256.
• ROPs: GB10 has 48; Vega 64X has 64.
• RT Cores: GB10 has 48; Vega 64X has none.
• Tensor Cores: GB10 has 384; Vega 64X has none.
• FP32 Performance: GB10 is 29.71 TFLOPS; Vega 64X is 12.03 TFLOPS.
• FP16 Performance: GB10 is 29.71 TFLOPS (1:1); Vega 64X is 24.05 TFLOPS (2:1).
• TDP: GB10 is 140 W; Vega 64X is 250 W.
• Bus Interface: GB10 is PCIe 5.0 x16; Vega 64X is PCIe 3.0 x16.
• Release Date: GB10 is 2025-10-14; Vega 64X is 2019-03-18.
• Production Status: GB10 is Active; Vega 64X is End-of-life.