NVIDIA GB10 vs NVIDIA RTX A4500 Mobile Comparison

The NVIDIA GB10 and NVIDIA RTX A4500 Mobile represent two distinct eras of NVIDIA’s GPU design, separated by process technology, architecture, and market positioning. The data from the FACT PACK shows a clear performance hierarchy, with the GB10 securing decisive victories in both recorded benchmarks. This analysis walks through the measured scores, architectural foundations, and specific use-case implications.

Head-to-Head Benchmarks

The GB10 wins both head-to-head comparisons, but the margin varies significantly by workload. In the Geekbench OpenCL test, the GB10 scores 120137 against the RTX A4500 Mobile’s 105307, a 14.1% advantage. This is a solid lead, but not an overwhelming one. The Vulkan result tells a different story: the GB10 posts 114648, while the RTX A4500 Mobile manages only 76960. That is a 49% gap, a massive difference that suggests the GB10’s architecture is far better optimized for modern graphics APIs.

The average benchmark score reinforces this trend. The GB10’s average is 117393, placing it in the 95th percentile of all GPUs. The RTX A4500 Mobile averages 91134, which lands in the 93rd percentile. While both are high-end performers, the 26.3% difference in average scores is substantial. The GB10’s Vulkan score is particularly noteworthy: it is 48.9% higher than the A4500 Mobile’s Vulkan result, and even exceeds the A4500 Mobile’s OpenCL score by 8.9%. This indicates the GB10 does not just have more raw compute—it has a more efficient execution path for Vulkan workloads.

Looking at the nearest rivals provides context. The GB10’s average score of 117393 puts it 0.3% ahead of the NVIDIA RTX 4000 SFF Ada Generation (117088) and 1.3% behind the AMD Radeon PRO W7700 (118976). It also leads the NVIDIA RTX A5500 Mobile by 3% (113944). The RTX A4500 Mobile, meanwhile, sits 0.6% behind its desktop namesake (91671) and 1.4% behind the AMD Radeon Instinct MI60 (92466). The data shows the GB10 competes with current-generation workstation parts, while the A4500 Mobile is closer to the previous generation’s peak.

Architecture Differences

The GB10 is built on the Blackwell 2.0 architecture using a 5 nm TSMC process, while the RTX A4500 Mobile uses the older Ampere architecture on an 8 nm Samsung process. This process node difference alone explains much of the efficiency and clock speed gap. The GB10’s chip is designated GB20B, part of the Server Blackwell (Bxx) generation, whereas the A4500 Mobile uses the GA104 chip from the Ampere-MW (Ax000) generation.

The GB10 has 6144 shading units, 384 texture mapping units, and 48 ROPs. The A4500 Mobile has 5888 shading units, 184 TMUs, and 96 ROPs. The GB10’s TMU count is more than double, giving it a texture rate of 928.5 GTexel/s versus 276.0 GTexel/s. The A4500 Mobile counters with double the ROPs, resulting in a higher pixel rate of 144.0 GPixel/s against the GB10’s 116.1 GPixel/s. This is a classic trade-off: the GB10 excels at texture-heavy compute, while the A4500 Mobile handles pure rasterization output better.

Ray tracing and tensor cores also differ. The GB10 has 48 RT cores and 384 tensor cores; the A4500 Mobile has 46 RT cores and 184 tensor cores. The GB10’s tensor core count is more than double, which directly impacts AI and machine learning workloads. FP32 performance is 29.71 TFLOPS for the GB10 versus 17.66 TFLOPS for the A4500 Mobile, a 68.3% advantage. FP16 performance follows the same ratio at 29.71 TFLOPS versus 17.66 TFLOPS, with both running at a 1:1 ratio.

Memory is another major divergence. The GB10 uses 128 GB of LPDDR5X memory on a 256-bit bus, delivering 273.2 GB/s of bandwidth. The A4500 Mobile uses 16 GB of GDDR6 on the same 256-bit bus but achieves 512.0 GB/s. The GB10 has 8x the capacity but only 53.4% of the bandwidth. This means the GB10 is designed for massive dataset residency, while the A4500 Mobile prioritizes raw throughput for smaller working sets. Clock speeds reflect the process advantage: the GB10 runs at 1665 MHz base and 2418 MHz boost, versus 930 MHz base and 1500 MHz boost for the A4500 Mobile.

FAQ

Q: Which GPU has higher raw compute throughput?

A: The NVIDIA GB10, with 29.71 TFLOPS FP32 performance, is 68.3% higher than the RTX A4500 Mobile’s 17.66 TFLOPS.

Q: How do the memory capacities compare?

A: The GB10 has 128 GB of LPDDR5X memory, while the RTX A4500 Mobile has 16 GB of GDDR6. The GB10 offers 8x the capacity, but the A4500 Mobile’s 512.0 GB/s bandwidth is 87.7% higher than the GB10’s 273.2 GB/s.

Q: What is the performance gap in Vulkan workloads?

A: The GB10 scores 114648 in Geekbench Vulkan, which is 49% higher than the RTX A4500 Mobile’s 76960. This is the largest measured difference between the two.

Q: Are these GPUs from the same architecture generation?

A: No. The GB10 uses Blackwell 2.0 architecture on a 5 nm TSMC process, while the RTX A4500 Mobile uses Ampere architecture on an 8 nm Samsung process.

Q: What is the production status of each GPU?

A: The GB10 is listed as Active with a release date of 2025-10-14, while the RTX A4500 Mobile is End-of-life, released on 2022-03-21.

Q: Which GPU has better API support?

A: The RTX A4500 Mobile supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The GB10’s API support is listed as N/A in the data pack.

Specification Differences

The two GPUs differ across nearly every major specification. The process node is 5 nm (TSMC) for the GB10 versus 8 nm (Samsung) for the A4500 Mobile. Transistor count is unknown for the GB10, while the A4500 Mobile has 17,400 million transistors on a 392 mm² die. The GB10’s die size is 382 mm², slightly smaller. Transistor density is only listed for the A4500 Mobile at 44.4M per mm².

Clock speeds: the GB10 has a 1665 MHz base and 2418 MHz boost, compared to 930 MHz base and 1500 MHz boost for the A4500 Mobile. Memory clock is 1067 MHz (8.5 Gbps effective) versus 2000 MHz (16 Gbps effective). Memory size is 128 GB LPDDR5X versus 16 GB GDDR6. Bandwidth is 273.2 GB/s versus 512.0 GB/s. The bus width is identical at 256 bit.

Compute units: the GB10 has 6144 shading units, 384 TMUs, 48 ROPs, 48 RT cores, and 384 tensor cores. The A4500 Mobile has 5888 shading units, 184 TMUs, 96 ROPs, 46 RT cores, and 184 tensor cores. Pixel rate is 116.1 GPixel/s for the GB10 versus 144.0 GPixel/s for the A4500 Mobile. Texture rate is 928.5 GTexel/s versus 276.0 GTexel/s. FP32 and FP16 are both 29.71 TFLOPS for the GB10 versus 17.66 TFLOPS for the A4500 Mobile.

Power and interface: both have a 140 W TDP. The GB10 connects via PCIe 5.0 x16, while the A4500 Mobile uses PCIe 4.0 x16. The GB10 has a slot width of IGP and a suggested PSU of 300 W; the A4500 Mobile has no slot width or PSU suggestion listed. Display outputs are 1x HDMI for the GB10 versus Portable Device Dependent for the A4500 Mobile. The GB10 has no dimensions listed for length, height, or width beyond its IGP form factor.

The GB10’s launch MSRP is 3,999 USD. The A4500 Mobile has no launch MSRP listed. The GB10 is in the Server Blackwell (Bxx) generation with a predecessor of Server Hopper and successor of Server Rubin. The A4500 Mobile is in the Ampere-MW (Ax000) generation with a predecessor of Quadro Turing-M and successor of Ada-MW.

The Verdict

The data points to a clear winner for raw performance: the NVIDIA GB10. It wins both head-to-head benchmarks, has 68.3% higher FP32 throughput, and a 26.3% higher average benchmark score. The 49% Vulkan lead is the most striking single result, showing architectural superiority in modern graphics workloads. The GB10 also offers 8x the memory capacity, which is critical for large language models or massive scientific datasets.

The RTX A4500 Mobile is not without merit. Its 512.0 GB/s memory bandwidth is significantly higher, which benefits workloads that are memory-bandwidth-bound rather than compute-bound. Its 144.0 GPixel/s pixel rate also gives it an edge in certain rasterization tasks. However, its lower compute counts, slower clocks, and end-of-life status make it the weaker choice for forward-looking deployments.

For users prioritizing compute throughput, AI inference, or Vulkan-based rendering, the GB10 is the statistical winner. For those needing maximum memory bandwidth in a mobile form factor with legacy API support, the A4500 Mobile remains a viable option. The GB10’s 95th percentile ranking versus the A4500 Mobile’s 93rd percentile confirms its overall standing.

Where Each One Wins

The GB10 wins in compute-heavy scenarios. Its 29.71 TFLOPS FP32 performance doubles the A4500 Mobile’s 17.66 TFLOPS in practical terms. The 384 tensor cores versus 184 make it superior for machine learning inference and training. The 128 GB memory capacity allows it to hold entire datasets without swapping, a feature the 16 GB A4500 Mobile cannot match. The GB10 also wins decisively in Vulkan workloads, as shown by the 114648 versus 76960 score.

The RTX A4500 Mobile wins in memory bandwidth-sensitive tasks. Its 512.0 GB/s bandwidth exceeds the GB10’s 273.2 GB/s by 87.7%. This benefits real-time rendering with high-resolution textures or scientific simulations that stream data continuously. Its 144.0 GPixel/s pixel rate also gives it an advantage in pure rasterization throughput, which could matter for certain CAD or visualization tools. The A4500 Mobile’s DirectX 12 Ultimate and Vulkan 1.4 API support also make it a more flexible option for legacy software ecosystems.

The GB10 is the pick for AI research, large-scale data processing, and modern API workloads. The A4500 Mobile remains relevant for bandwidth-constrained tasks and environments requiring established API compatibility. The data does not support the A4500 Mobile for compute-heavy or Vulkan-centric use cases, where it trails by 14.1% and 49% respectively.