Intel Iris Xe MAX Graphics vs NVIDIA Tesla K20Xm Comparison

Head-to-Head Benchmarks

The database contains one direct head-to-head comparison between these two GPUs, and it is decisive. In the Geekbench OpenCL test, the NVIDIA Tesla K20Xm scores 17,215 points, while the Intel Iris Xe MAX Graphics scores 14,315 points. That translates to the Tesla K20Xm leading by 16.8 percent, the only recorded benchmark win in this comparison.

Putting those numbers in context is useful. The Intel part sits at the 56th percentile of all GPUs in the database, with an average benchmark score of 14,315. Its closest rival, the AMD Radeon Vega 11, scores 14,352, which is a negligible 0.3 percent difference. The NVIDIA GeForce GTX TITAN scores 14,373, also nearly identical at a 0.4 percent gap. The AMD Radeon RX Vega 11 scores 14,385, sitting 0.5 percent ahead. What this means is that the Iris Xe MAX lands squarely in a crowded performance cluster: it is essentially tied with these three older or integrated-class parts, and it edges the NVIDIA GeForce GTX 1070 Ti by 0.3 percent, with that card scoring 14,277.

The Tesla K20Xm, by contrast, occupies a different tier. Its average benchmark score across all recorded tests is 12,625, which places it at the 52nd percentile of all GPUs. That average is dragged down by a separate Geekbench Metal score of 8,035, a test the Intel part does not have recorded. The OpenCL result of 17,215 is the number that matters for this head-to-head. The Tesla's nearest rivals in the database include the AMD Radeon RX 7600M XT at 12,710, just 0.7 percent behind, and the NVIDIA GeForce GTX 670 at 12,773, trailing by 1.2 percent. Those comparisons reflect the blended average, not the OpenCL peak, so the K20Xm's raw OpenCL advantage over the Iris Xe MAX is larger than its average score might suggest.

The key takeaway from the benchmark data is straightforward: in the one test both cards share, the Tesla K20Xm wins by a clear margin. The 16.8 percent gap is not a rounding error or a statistical tie. It is a real performance separation. For any workload that scales with OpenCL compute throughput, the Tesla is the faster card.

FAQ

Q: Which GPU is faster in the direct head-to-head benchmark?

A: The NVIDIA Tesla K20Xm wins the only shared benchmark, Geekbench OpenCL, with a score of 17,215 versus 14,315 for the Intel Iris Xe MAX Graphics, a 16.8 percent advantage.

Q: How does the Intel Iris Xe MAX compare to its closest rivals?

A: The Iris Xe MAX scores 14,315 on average. It is 0.3 percent behind the AMD Radeon Vega 11 (14,352), 0.4 percent behind the NVIDIA GeForce GTX TITAN (14,373), 0.5 percent behind the AMD Radeon RX Vega 11 (14,385), and 0.3 percent ahead of the NVIDIA GeForce GTX 1070 Ti (14,277).

Q: Why does the Tesla K20Xm have a lower average score than its OpenCL result?

A: The Tesla K20Xm has two recorded benchmarks. Its Geekbench OpenCL score is 17,215, but its Geekbench Metal score is 8,035. Blending those together produces an average score of 12,625, which is below the Iris Xe MAX's average of 14,315.

Q: Which GPU ranks higher in the overall database?

A: The Intel Iris Xe MAX sits at the 56th percentile of all GPUs, while the NVIDIA Tesla K20Xm sits at the 52nd percentile. Despite losing the direct OpenCL comparison, the Intel part has the higher overall percentile ranking.

Q: Do both cards support modern graphics APIs?

A: Yes, but with differences. The Intel Iris Xe MAX supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The NVIDIA Tesla K20Xm supports DirectX 12 (11_0), OpenGL 4.6, and Vulkan 1.2.175.

Q: What are the memory specifications of each card?

A: The Intel Iris Xe MAX has 4 GB of LPDDR4X memory on a 128-bit bus, delivering 68.26 GB/s of bandwidth. The NVIDIA Tesla K20Xm has 6 GB of GDDR5 memory on a 384-bit bus, delivering 249.6 GB/s of bandwidth.

The Verdict

The data points in one clear direction for raw compute performance. The NVIDIA Tesla K20Xm wins the only shared benchmark by 16.8 percent, and it brings substantially more memory bandwidth and a wider memory bus. If the task is OpenCL-heavy compute, the Tesla is the pick.

However, the overall database percentile tells a different story for general ranking. The Intel Iris Xe MAX sits at the 56th percentile, above the Tesla's 52nd percentile, because the Tesla's average is pulled down by its Metal result. A buyer who only cares about the single OpenCL workload should ignore the average and focus on the head-to-head number, where the Tesla leads.

The Intel part is an integrated graphics solution with no display outputs and a 25 W TDP. It is designed for systems where power draw is minimal and the GPU is a secondary component. The Tesla K20Xm is a dual-slot accelerator with a 235 W TDP, a suggested 550 W power supply, and a 267 mm physical length. It is a dedicated compute card from a different era, launched years earlier.

For a system builder prioritizing compute throughput in OpenCL, the Tesla K20Xm is the faster card. For anyone prioritizing overall database standing, power efficiency, or a more modern feature set, the Intel Iris Xe MAX has advantages. The choice depends on whether the workload is pure compute or broader system integration.

Specification Differences

The two cards differ in nearly every major specification category. The Intel Iris Xe MAX uses a 10 nm process node from Intel's own foundry, while the NVIDIA Tesla K20Xm uses a 28 nm process from TSMC. The Tesla's die is far larger at 561 mm² versus 95 mm², and it packs 7,080 million transistors, a figure not listed for the Intel part.

Clock speeds tell a partial story. The Intel GPU has a base clock of 300 MHz and a boost clock of 1650 MHz. The Tesla K20Xm has no base or boost clock listed in the database. Memory clocks also differ: the Intel part runs at 2133 MHz with 4.3 Gbps effective, while the Tesla runs at 1300 MHz with 5.2 Gbps effective.

Memory capacity and bandwidth strongly favor the Tesla. The K20Xm has 6 GB of GDDR5 on a 384-bit bus with 249.6 GB/s bandwidth. The Iris Xe MAX has 4 GB of LPDDR4X on a 128-bit bus with 68.26 GB/s bandwidth. That is a massive difference in both capacity and throughput.

Compute resources also diverge sharply. The Tesla has 2688 shading units, 224 texture mapping units, and 48 ROPs. The Intel part has 768 shading units, 48 TMUs, and 24 ROPs. Pixel and texture rates follow: the Tesla achieves 40.99 GPixel/s and 164.0 GTexel/s, while the Intel achieves 39.60 GPixel/s and 79.20 GTexel/s. The pixel rates are close, but the texture rate is more than double on the Tesla.

Floating-point performance favors the Tesla in FP32, at 3.935 TFLOPS versus 2.534 TFLOPS. The Intel part lists FP16 performance at 5.069 TFLOPS with a 2:1 ratio, while the Tesla has no FP16 figure recorded. Power consumption is inverted: the Intel part draws 25 W with a suggested 200 W power supply, while the Tesla draws 235 W with a suggested 550 W power supply.

Physical and interface differences are notable. The Intel Iris Xe MAX is an IGP with a PCIe 4.0 x8 interface. The Tesla K20Xm is a dual-slot card with a PCIe 3.0 x16 interface, measuring 267 mm or 10.5 inches in length. Neither card has display outputs.

Architecture Differences

The architectural gap is generational. The Intel Iris Xe MAX is built on the DG1 chip, part of the Xe Graphics generation using Intel's Generation 12.1 architecture. Its predecessor is listed as "Graphics" and its successor as "Alchemist," placing it at the start of Intel's discrete GPU push. The NVIDIA Tesla K20Xm uses the GK110 chip under the Kepler architecture, belonging to the Tesla Kepler (Kxx) generation. Its predecessor is Tesla Fermi and its successor is Tesla Maxwell.

Manufacturing nodes reflect the age difference. Intel uses a 10 nm process at its own foundry. NVIDIA relies on TSMC's 28 nm process. The transistor density of the Tesla is recorded at 12.6M per mm², while the Intel part has no transistor count or density listed.

The memory architectures are fundamentally different. The Intel GPU uses LPDDR4X, a low-power memory type suited to integrated and mobile contexts. The Tesla uses GDDR5, a dedicated graphics memory type with much higher bandwidth. The bus widths differ accordingly: 128-bit for Intel, 384-bit for NVIDIA.

API support shows modern versus legacy trade-offs. The Intel part supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4. The Tesla supports DirectX 12 (11_0), OpenGL 4.6, and Vulkan 1.2.175. Both cards lack ray tracing cores and tensor cores in the recorded data. The Intel part lists FP16 support at 5.069 TFLOPS with a 2:1 ratio, which the Tesla does not record at all.

The release dates are far apart. Intel's part launched on October 30, 2020, while the Tesla K20Xm launched on November 11, 2012. Both are now marked as end-of-life in the database. The Tesla has a launch MSRP of 7,699 USD. The Intel part has no launch MSRP recorded.

Where Each One Wins

The NVIDIA Tesla K20Xm wins in raw OpenCL compute. Its 17,215 score in that test is 16.8 percent ahead of the Intel part's 14,315. It also wins on memory bandwidth by a wide margin, offering 249.6 GB/s versus 68.26 GB/s. It has more memory capacity at 6 GB versus 4 GB, more shading units at 2688 versus 768, more TMUs at 224 versus 48, and more ROPs at 48 versus 24. Its texture rate of 164.0 GTexel/s is more than double the Intel's 79.20 GTexel/s. Its FP32 throughput of 3.935 TFLOPS exceeds the Intel's 2.534 TFLOPS. For any compute workload that can use these resources, the Tesla is the stronger card.

The Intel Iris Xe MAX wins in overall database percentile, sitting at 56 versus the Tesla's 52. That ranking reflects its average score across recorded tests, which benefits from not having a low Metal score. The Intel part also wins decisively on power. Its 25 W TDP and 200 W suggested power supply are dramatically lower than the Tesla's 235 W TDP and 550 W suggested supply. It is an IGP, meaning it requires no expansion slot and no external power connectors, while the Tesla is a dual-slot card with a 267 mm length. The Intel part also has a more modern feature set in some areas: it supports Vulkan 1.4 versus 1.2.175, and DirectX 12 (12_1) versus DirectX 12 (11_0). Its FP16 capability of 5.069 TFLOPS is a feature the Tesla does not list.

The use-case split is clean. For a compute node running OpenCL workloads where power and space are secondary concerns, the Tesla K20Xm is the data-backed choice. For a compact system, an integrated build, or any scenario where the 235 W draw and dual-slot footprint are unacceptable, the Intel Iris Xe MAX is the practical option. The benchmark data gives the compute crown to NVIDIA, but the efficiency and integration crown to Intel.