NVIDIA GeForce RTX 5080 vs NVIDIA Quadro GP100 Comparison

Where Each One Wins

The recorded data paints a starkly one-sided picture in direct comparison. The NVIDIA GeForce RTX 5080 claims the single head-to-head benchmark victory, and it does so by a decisive margin. In the only shared test, Geekbench OpenCL, the RTX 5080 scores 235,901 against the Quadro GP100's 87,445, a delta of 62.9 percent in favor of the newer card. That is not a marginal win; it is a generational gap made visible in a single number.

The Quadro GP100, meanwhile, does not win any of the recorded head-to-head tests. Its sole benchmark entry, the same Geekbench OpenCL run, places it behind the RTX 5080. However, the GP100 still holds a respectable position in the broader database. Its average benchmark score of 87,445 places it in the 93rd percentile of all GPUs, which is higher than the RTX 5080's 87th percentile. This is a notable inversion: the older professional card sits above the newer consumer card in overall percentile ranking, even though it loses the direct comparison. The explanation lies in the nature of the benchmark suites each card faces. The GP100's single OpenCL score is a strong data point, whereas the RTX 5080's average is dragged down by its Passmark entries, which include low DirectX 9 and DirectX 12 scores of 389 and 151 respectively.

For use-case segmentation, the data suggests the RTX 5080 is the clear choice for any workload that mirrors the Geekbench OpenCL test, which typically stresses raw compute throughput across a wide range of operations. The Quadro GP100, despite its age and end-of-life status, remains competitive in the aggregate because its lone recorded benchmark is so strong. Buyers looking at the database would see the GP100 as a specialized tool with a proven compute profile, while the RTX 5080 offers a broader but more inconsistent benchmark footprint.

Architecture Differences

The two cards come from different eras and fundamentally different design philosophies. The Quadro GP100 uses the Pascal architecture on a 16 nm TSMC process, while the RTX 5080 employs Blackwell 2.0 on a 5 nm node. The transistor counts reflect the scaling: the GP100 packs 15,300 million transistors on a 610 mm² die, yielding a density of 25.1 million transistors per square millimeter. The RTX 5080 fits 45,600 million transistors onto a much smaller 378 mm² die, achieving 120.6 million per square millimeter. That is a density advantage of nearly five times, which explains how the newer card delivers far more compute in a physically smaller package.

Memory architecture differs sharply. The GP100 uses 16 GB of HBM2 on a 4096-bit bus, delivering 732.2 GB/s of bandwidth. The RTX 5080 also has 16 GB, but it is GDDR7 on a 256-bit bus, and despite the narrower interface it reaches 960.0 GB/s. The bandwidth per bit is far higher on the newer memory type, and the total throughput advantage is roughly 31 percent in favor of the RTX 5080. The GP100's memory clock is listed as 715 MHz (1430 Mbps effective), while the RTX 5080 runs at 1875 MHz (30 Gbps effective).

Compute resources are where the generation gap becomes obvious. The GP100 has 3,584 shading units, 224 texture mapping units, and 96 ROPs. The RTX 5080 has 10,752 shading units, 336 TMUs, and 112 ROPs. The newer card also brings dedicated hardware that the Pascal part lacks entirely: 84 ray tracing cores and 336 tensor cores. The FP32 throughput tells the story: the GP100 delivers 10.34 TFLOPS, while the RTX 5080 hits 56.28 TFLOPS, a 5.4x advantage. FP16 is interesting because the GP100 uses a 2:1 ratio (20.69 TFLOPS), while the RTX 5080 operates at 1:1 (56.28 TFLOPS), meaning the newer card does not rely on a halved rate for half-precision work.

The cards also differ in platform support. The GP100 uses PCIe 3.0 x16, while the RTX 5080 uses PCIe 5.0 x16. Display outputs are different: the GP100 offers 1x DVI and 4x DisplayPort 1.4a, while the RTX 5080 has 1x HDMI 2.1b and 3x DisplayPort 2.1b. API support is newer on the RTX 5080, with DirectX 12 Ultimate (12_2) and Vulkan 1.4, versus DirectX 12 (12_1) and Vulkan 1.3 on the GP100. Power requirements scale with performance: the GP100 draws 235 W with a 1x 8-pin connector and a suggested 550 W PSU, while the RTX 5080 draws 360 W with a 1x 16-pin connector and a 750 W suggested PSU. Physically, the GP100 is 267 mm long and 111 mm tall, while the RTX 5080 is longer at 304 mm and taller at 137 mm, with a 40 mm width.

Head-to-Head Benchmarks

The single recorded head-to-head test is Geekbench OpenCL. The RTX 5080 scores 235,901, and the GP100 scores 87,445. The delta is 62.9 percent, meaning the RTX 5080 outperforms the Quadro by roughly two and a half times. This is a massive margin, and it is consistent with the raw compute specifications: the RTX 5080's 56.28 TFLOPS FP32 versus the GP100's 10.34 TFLOPS is a 5.4x difference, though the OpenCL workload does not fully translate that peak throughput into a score gain. Still, the benchmark result confirms that the newer card has a commanding lead in general-purpose compute.

The GP100's nearest rivals in the database help contextualize its performance. The AMD Radeon PRO W7600 scores 87,108, just 0.4 percent behind the GP100. The NVIDIA CMP 40HX scores 85,637, 2.1 percent behind. On the other side, the NVIDIA RTX A4500 Mobile scores 91,134, which is 4 percent ahead of the GP100, and the RTX A4500 desktop scores 91,671, 4.6 percent ahead. So the Quadro GP100 sits in a tight cluster of professional and mining cards, all within a few percentage points of each other. Its 93rd percentile ranking is justified by this company.

The RTX 5080's nearest rivals show a different competitive landscape. The AMD Radeon 8060S scores 55,757, just 0.6 percent behind the RTX 5080's average of 56,083. The AMD Radeon RX 6750 GRE 12 GB scores 55,698, 0.7 percent behind. The AMD Radeon Pro W5700X scores 54,828, 2.3 percent behind. The AMD Radeon RX 9070 GRE scores 57,367, which is 2.2 percent ahead of the RTX 5080. The RTX 5080's average is thus much lower than its OpenCL score because its Passmark results are weak. Its Passmark G3D score is 36,565, but its DirectX 9 score is only 389, DirectX 11 is 324, DirectX 12 is 151, and DirectX 10 is 208. Those legacy API tests drag the average down significantly.

It is notably the head-to-head comparison uses only the Geekbench OpenCL result. The RTX 5080 has additional benchmarks (3DMark Steel Nomad DX12 at 8,637, Geekbench Vulkan at 255,450, Passmark GPU Compute at 21,789, and Passmark G2D at 1,415) that have no corresponding GP100 entry. The Quadro GP100 has no other recorded tests. So the direct comparison is limited, but the available data is unambiguous about the winner.

FAQ

Q: Which card has the higher average benchmark score in the database?

A: The Quadro GP100 has an average score of 87,445, which places it in the 93rd percentile of all GPUs. The RTX 5080 has an average of 56,083, placing it in the 87th percentile.

Q: Does the RTX 5080 beat the GP100 in every recorded benchmark?

A: The only head-to-head test is Geekbench OpenCL, and the RTX 5080 wins it with a score of 235,901 versus 87,445, a delta of 62.9 percent. The GP100 has no other benchmark entries to compare.

Q: Why does the GP100 have a higher percentile ranking if it loses the direct comparison?

A: The GP100's single benchmark score is high relative to the full GPU database, while the RTX 5080's average is lowered by its Passmark results in legacy DirectX tests. Those low scores pull the RTX 5080's average down despite its strong OpenCL and Vulkan numbers.

Q: What memory configurations do the two cards use?

A: Both have 16 GB. The GP100 uses HBM2 on a 4096-bit bus with 732.2 GB/s bandwidth. The RTX 5080 uses GDDR7 on a 256-bit bus with 960.0 GB/s bandwidth.

Q: How do the compute specifications compare?

A: The GP100 has 3,584 shading units and delivers 10.34 TFLOPS FP32. The RTX 5080 has 10,752 shading units and delivers 56.28 TFLOPS FP32. The RTX 5080 also has 84 ray tracing cores and 336 tensor cores, which the GP100 lacks entirely.

Q: Which card supports newer APIs?

A: The RTX 5080 supports DirectX 12 Ultimate (12_2), Vulkan 1.4, and OpenGL 4.6. The GP100 supports DirectX 12 (12_1), Vulkan 1.3, and OpenGL 4.6.

The Verdict

The data is clear: the NVIDIA GeForce RTX 5080 is the superior performer in the only direct benchmark available. Its Geekbench OpenCL score of 235,901 is 62.9 percent higher than the Quadro GP100's 87,445. The RTX 5080 also offers newer architecture, higher transistor density, more shading units, dedicated ray tracing and tensor cores, and higher memory bandwidth. For any modern workload that leverages these features, the RTX 5080 is the logical choice.

The Quadro GP100, however, should not be dismissed outright. Its 93rd percentile ranking versus the RTX 5080's 87th shows that its single compute score is very strong in absolute terms. The GP100 also has a much lower power draw at 235 W versus 360 W, and it uses a standard 8-pin connector rather than a 16-pin one, which may simplify installation in existing systems. Its HBM2 memory on a 4096-bit bus is an unusual design that provides substantial bandwidth, and its end-of-life status means it may be available at a different position in the used market, though the database does not track pricing.

The realistic verdict is that the RTX 5080 is for anyone who needs maximum compute throughput, modern API support, and the ability to handle ray tracing and tensor workloads. The GP100 is for niche applications where its specific memory architecture or lower power envelope matters more than raw speed. The benchmark data does not support choosing the GP100 for performance, but it does show that the older card remains a credible compute device even against a much newer rival. The RTX 5080 wins the head-to-head, and the GP100 wins the percentile comparison, so the choice depends on whether the workload resembles the OpenCL test or the broader database average.