NVIDIA GB10 vs NVIDIA RTX A4500 Comparison

FAQ

Q: Which GPU has the higher average benchmark score?

A: The NVIDIA GB10 posts a higher average benchmark score of 117,393, placing it in the 95th percentile of all GPUs. The NVIDIA RTX A4500 averages 91,671, which lands in the 93rd percentile.

Q: How do the two compare in Geekbench OpenCL performance?

A: The RTX A4500 wins decisively in Geekbench OpenCL, scoring 141,837 versus the GB10’s 120,137. That is a 15.3% advantage for the A4500 in this compute workload.

Q: Does the GB10 have any benchmark wins over the A4500?

A: No. In the head-to-head benchmark results, the GB10 records zero wins, while the RTX A4500 wins both tests. The GB10’s closest rival is the NVIDIA RTX 4000 SFF Ada Generation, which it edges by just 0.3%.

Q: What memory configuration does each card use?

A: The GB10 uses 128 GB of LPDDR5X on a 256-bit bus, delivering 273.2 GB/s of bandwidth. The RTX A4500 uses 20 GB of GDDR6 on a 320-bit bus, delivering 640.0 GB/s — more than double the bandwidth despite far less capacity.

Q: Which GPU is more power-efficient per the listed TDP?

A: The GB10 has a 140 W TDP, while the RTX A4500 is rated at 200 W. The GB10 also requires no power connectors and suggests a 300 W PSU, whereas the A4500 needs a single 8-pin connector and suggests a 550 W PSU.

Q: Are these GPUs in the same production lifecycle?

A: No. The GB10 is listed as “Active” production with a release date of 2025-10-14, while the RTX A4500 is marked “End-of-life” with a release date of 2021-11-22.

The Verdict

The benchmark data tells a clear story: the NVIDIA RTX A4500 is the stronger raw performer in the two tests available, winning both head-to-head matchups. Its Geekbench OpenCL score of 141,837 and Vulkan score of 129,980 both exceed the GB10’s corresponding results by double-digit margins. For users whose workloads rely heavily on OpenCL or Vulkan compute, the A4500 is the data-backed choice, despite its older Ampere architecture.

However, the GB10 is not without merit. It holds a higher average benchmark score (117,393 vs. 91,671) and a better overall percentile ranking (95th vs. 93rd). This suggests that across a broader range of tests, the GB10 may be more consistent, even if it loses the two specific comparisons here. Its 128 GB memory capacity dwarfs the A4500’s 20 GB, making it the obvious pick for memory-bound tasks like large model inference or dataset processing.

The GB10 is also the more efficient package: 140 W TDP versus 200 W, no external power connectors, and a compact IGP slot design versus the A4500’s dual-slot footprint. For dense server deployments where power and space are constrained, the GB10’s profile is compelling.

The verdict splits along workload lines. Pick the RTX A4500 if you need maximum compute throughput in OpenCL/Vulkan and can tolerate its higher power draw and larger size. Pick the GB10 if you need massive memory capacity, better overall percentile ranking, and a more efficient, compact form factor — and if your workloads are not dominated by the two tests where the A4500 wins.

Head-to-Head Benchmarks

The two GPUs were tested in exactly two common benchmarks: Geekbench OpenCL and Geekbench Vulkan. The RTX A4500 wins both, and the margins are significant.

In Geekbench OpenCL, the A4500 scores 141,837 against the GB10’s 120,137. That is a 15.3% delta in favor of the A4500. This is the larger of the two wins and suggests the A4500’s 7,168 shading units and 96 ROPs deliver more raw compute throughput in this API. The GB10’s 6,144 shading units and 48 ROPs simply cannot keep pace, despite its higher boost clock of 2418 MHz versus 1650 MHz.

In Geekbench Vulkan, the gap narrows but remains decisive. The A4500 scores 129,980, while the GB10 scores 114,648 — an 11.8% advantage. Vulkan tends to favor memory bandwidth and geometry throughput, and the A4500’s 640.0 GB/s bandwidth versus 273.2 GB/s likely explains much of this result. The GB10’s higher texture rate (928.5 GTexel/s vs. 369.6 GTexel/s) does not translate into a win here, indicating that memory bandwidth is the limiting factor in this test.

For context, the GB10’s average benchmark score of 117,393 puts it 0.3% ahead of the NVIDIA RTX 4000 SFF Ada Generation and 1.3% behind the AMD Radeon PRO W7700. The A4500’s average of 91,671 places it 0.6% ahead of the RTX A4500 Mobile and 0.9% behind the AMD Radeon Instinct MI60. Neither GPU is at the top of its respective peer group, but both are competitive within their brackets.

The GB10’s best showing is in average score, where it outperforms the A4500 by 28.1% (117,393 vs. 91,671). This is a substantial gap that reflects the GB10’s newer architecture and higher overall consistency across a broader test suite. But in the two tests where both GPUs were directly compared, the A4500’s wins are unambiguous.

Specification Differences

The two GPUs differ across nearly every major specification category. The GB10 uses a 5 nm process node from TSMC, while the RTX A4500 uses an 8 nm node from Samsung. The GB10’s die is 382 mm², substantially smaller than the A4500’s 628 mm². The A4500’s transistor count is listed at 28,300 million with a density of 45.1M / mm²; the GB10’s transistor count is unknown.

Clock speeds favor the GB10. Its base clock is 1665 MHz with a boost of 2418 MHz, versus the A4500’s 1050 MHz base and 1650 MHz boost. Memory clocks also differ: the GB10 runs at 1067 MHz (8.5 Gbps effective), while the A4500 runs at 2000 MHz (16 Gbps effective).

Memory capacity and bandwidth are starkly different. The GB10 packs 128 GB of LPDDR5X on a 256-bit bus, yielding 273.2 GB/s. The A4500 has 20 GB of GDDR6 on a 320-bit bus, yielding 640.0 GB/s. The A4500 has more than double the bandwidth but only about 15.6% of the capacity.

Compute unit counts vary by metric. The A4500 has more shading units (7,168 vs. 6,144) and more ROPs (96 vs. 48), but the GB10 has more TMUs (384 vs. 224) and more tensor cores (384 vs. 224). RT core counts are close: 56 for the A4500, 48 for the GB10.

Fill rates and throughput numbers tell a mixed story. The GB10 leads in texture rate (928.5 GTexel/s vs. 369.6 GTexel/s) and FP32/FP16 compute (29.71 TFLOPS vs. 23.65 TFLOPS). The A4500 leads in pixel rate (158.4 GPixel/s vs. 116.1 GPixel/s).

Power and physical specs diverge significantly. The GB10 is rated at 140 W with no power connectors and a suggested 300 W PSU. The A4500 is rated at 200 W with one 8-pin connector and a suggested 550 W PSU. The GB10 is an IGP slot width; the A4500 is dual-slot. The GB10 measures 150 mm by 51 mm by 150 mm; the A4500 measures 267 mm by 112 mm.

Interface and outputs differ as well. The GB10 uses PCIe 5.0 x16 and has a single HDMI output. The A4500 uses PCIe 4.0 x16 and has four DisplayPort 1.4a outputs. The A4500 supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4; the GB10 lists N/A for all three APIs.

Architecture Differences

The architectural gap between these two GPUs is generational. The GB10 is built on Blackwell 2.0, part of NVIDIA’s Server Blackwell (Bxx) generation, using the GB20B chip. The RTX A4500 is built on Ampere, part of the Workstation Ampere (Ax000) generation, using the GA102 chip.

The manufacturing process differs entirely: the GB10 uses a 5 nm node at TSMC, while the A4500 uses an 8 nm node at Samsung. This process advantage likely explains the GB10’s higher clock speeds and lower power draw despite a smaller die. The GB10’s die size of 382 mm² is 246 mm² smaller than the A4500’s 628 mm².

Memory technology is another key architectural split. The GB10 uses LPDDR5X, a low-power memory typically found in integrated or compact designs, while the A4500 uses GDDR6, a dedicated graphics memory with higher bandwidth. The GB10’s 128 GB capacity is unprecedented in this comparison, but the A4500’s 320-bit bus and 640.0 GB/s bandwidth reflect a more traditional workstation memory subsystem.

The GB10 ships with 384 tensor cores, significantly more than the A4500’s 224. This suggests the GB10 is better positioned for AI and machine learning workloads, especially given its massive memory pool. The A4500 counters with more RT cores (56 vs. 48) and more ROPs (96 vs. 48), which should benefit rasterization and ray tracing tasks.

The GB10’s predecessor is listed as Server Hopper, and its successor is Server Rubin, placing it in a server-focused product line. The A4500’s predecessor is Quadro Turing, and its successor is Workstation Ada, reflecting a workstation lineage. The GB10 is currently active in production, while the A4500 is end-of-life.

API support is another major divergence. The A4500 supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4, making it suitable for graphics-heavy applications. The GB10 lists N/A for all three APIs, indicating it is not designed for traditional graphics rendering despite its compute prowess. This is consistent with its server positioning and single HDMI output.

The GB10’s Blackwell 2.0 architecture appears optimized for compute density and efficiency, while the A4500’s Ampere architecture is a more balanced workstation design with full graphics API support. The GB10’s higher FP32 throughput (29.71 TFLOPS) and texture rate (928.5 GTexel/s) suggest it can handle compute-heavy tasks, but its lack of API support and limited display outputs make it unsuitable as a general-purpose workstation GPU.