GPU Comparison

# AMD Instinct MI100 vs NVIDIA Quadro RTX 6000

The AMD Instinct MI100 and NVIDIA Quadro RTX 6000 represent two very different approaches to professional computing, and the data reflects that starkly. The MI100 is a compute-first accelerator with no display outputs, while the RTX 6000 is a workstation GPU with full display capabilities and ray tracing hardware. In the single head-to-head benchmark available, the MI100 dominates the OpenCL workload with a score of 139,035 against the RTX 6000’s 74,179, an 87.4% advantage. However, the RTX 6000 counters with a Vulkan score of 129,564, a test the MI100 cannot even run due to its lack of API support. The average benchmark scores tell a similar story: the MI100 averages 139,035 across its one benchmark, while the RTX 6000 averages 101,872 across two, placing the MI100 in the 96th percentile of all GPUs and the RTX 6000 in the 94th. These numbers paint a clear picture of two cards built for different jobs.

Head-to-Head Benchmarks

The only direct benchmark comparison in the data is Geekbench OpenCL, and it is not close. The AMD Instinct MI100 scores 139,035, while the NVIDIA Quadro RTX 6000 scores 74,179. That is an 87.4% delta in favor of the MI100, nearly double the performance. This is a massive gap, not a marginal one. In raw compute throughput, the MI100’s FP32 rating of 23.07 TFLOPS versus the RTX 6000’s 16.31 TFLOPS explains part of the difference, but the OpenCL result suggests that memory bandwidth and architecture efficiency play an even larger role. The MI100’s 1.23 TB/s of HBM2 bandwidth is nearly double the RTX 6000’s 672.0 GB/s of GDDR6, and that bandwidth advantage directly fuels compute workloads that saturate memory.

The RTX 6000 does have its own benchmark wins, though not in the head-to-head OpenCL test. It scores 129,564 in Geekbench Vulkan, which is 74.7% higher than its own OpenCL score and approaches the MI100’s OpenCL result. The MI100 cannot participate in Vulkan at all, its API support is listed as N/A across DirectX, OpenGL, and Vulkan. This is a fundamental differentiator: the RTX 6000 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, making it a functional graphics card, while the MI100 is purely a compute accelerator with no display outputs and no graphics API support. In any graphics-centric benchmark, the RTX 6000 wins by default because the MI100 is not even eligible.

Looking at the nearest rivals provides additional context for each card. The MI100’s closest competitor is the NVIDIA Tesla V100 PCIe 16 GB, which scores 138,063, just 0.7% behind. The Tesla V100 SXM2 32 GB is 0.9% behind at 137,731, and the AMD Radeon PRO V620 trails by 1.9% at 136,472. This tells us the MI100 sits at the very top of its compute segment, barely ahead of the previous generation’s best accelerators. The RTX 6000, meanwhile, is 4.5% ahead of the AMD Radeon RX 7900M (97,487) and 4.9% ahead of the AMD Radeon Pro VII (97,131), but it trails the AMD Radeon Pro Vega II Duo by 4.6% (106,750) and the AMD Radeon Pro W6600X by 5.1% (107,342). This positions the RTX 6000 as a mid-pack performer in its broader GPU class, not a top-tier compute card.

The Verdict

The choice between these two cards comes down to workload type, and the data makes that decision straightforward. If the task is compute-heavy, machine learning training, scientific simulation, or data processing, the AMD Instinct MI100 is the clear winner. Its OpenCL score of 139,035 is 87.4% higher than the RTX 6000’s 74,179, and its FP32 throughput of 23.07 TFLOPS exceeds the RTX 6000’s 16.31 TFLOPS by 41.4%. The MI100 also offers 32 GB of HBM2 memory versus 24 GB of GDDR6, with 1.23 TB/s bandwidth versus 672.0 GB/s, a 83% memory bandwidth advantage. For pure compute, there is no contest.

If the task involves graphics, 3D rendering, real-time visualization, or any workload requiring display output, the NVIDIA Quadro RTX 6000 is the only viable option. The MI100 has no display outputs and no graphics API support, making it useless for interactive work. The RTX 6000’s Vulkan score of 129,564 demonstrates substantial graphics capability, and its 72 ray tracing cores and 576 tensor cores provide hardware features the MI100 simply lacks. The RTX 6000 also draws less power at 260 W versus 300 W and requires a smaller PSU (600 W versus 700 W), making it easier to integrate into existing workstations.

The percentile rankings reinforce this split: the MI100 sits in the 96th percentile of all GPUs with an average score of 139,035, while the RTX 6000 sits in the 94th percentile with an average of 101,872. The MI100’s single benchmark is a compute test, and it excels there. The RTX 6000’s two benchmarks include a graphics test, and it excels there. Neither card is a generalist. Pick the MI100 for compute-only clusters, pick the RTX 6000 for interactive workstations.

Architecture Differences

The architectural divide between these two cards is generational and philosophical. The MI100 uses AMD’s CDNA 1.0 architecture on the Arcturus chip, built on a 7 nm TSMC process. This is a compute-specific design that abandons graphics entirely, the card has no display outputs, no DirectX support, no OpenGL support, and no Vulkan support. It is a pure accelerator. The chip packs 25,600 million transistors on a 750 mm² die, yielding a transistor density of 34.1M / mm². The RTX 6000, by contrast, uses NVIDIA’s Turing architecture on the TU102 chip, built on a 12 nm TSMC process. It includes 18,600 million transistors on a 754 mm² die, with a lower density of 24.7M / mm². The MI100’s 7 nm process allows it to pack 37.6% more transistors into a nearly identical die area.

The MI100’s compute focus is evident in its massive 4096-bit memory bus and 32 GB of HBM2, which delivers 1.23 TB/s of bandwidth. The RTX 6000 uses a 384-bit bus with 24 GB of GDDR6, providing 672.0 GB/s. The MI100 also has more shading units (7,680 versus 4,608), more texture mapping units (480 versus 288), but fewer ROPs (64 versus 96). The RTX 6000 counters with dedicated hardware the MI100 lacks entirely: 72 ray tracing cores and 576 tensor cores. These are Turing’s signature features, enabling real-time ray tracing and AI-accelerated workloads. The MI100 has no equivalent hardware, relying instead on raw compute throughput.

API support is another fundamental architectural difference. The MI100 lists N/A for DirectX, OpenGL, and Vulkan, while the RTX 6000 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. This means the MI100 cannot run any conventional graphics workloads, while the RTX 6000 can handle modern graphics APIs fully. The RTX 6000 also has four DisplayPort 1.4a outputs and one USB Type-C port, while the MI100 has no outputs. Power delivery differs too: the MI100 needs two 8-pin connectors and a 700 W PSU, while the RTX 6000 uses one 6-pin and one 8-pin connector with a 600 W PSU recommendation.

Specification Differences

The two cards differ on nearly every specification that matters. Clock speeds: the MI100 runs at a 1000 MHz base and 1502 MHz boost, while the RTX 6000 runs at 1440 MHz base and 1770 MHz boost, the NVIDIA card has a 44% higher base clock and 17.8% higher boost clock. Memory: the MI100 has 32 GB of HBM2 on a 4096-bit bus with 1.23 TB/s bandwidth, while the RTX 6000 has 24 GB of GDDR6 on a 384-bit bus with 672.0 GB/s. The MI100’s memory clock is 1200 MHz (2.4 Gbps effective), while the RTX 6000’s is 1750 MHz (14 Gbps effective). Compute units: the MI100 has 7,680 shading units, 480 TMUs, and 64 ROPs, versus the RTX 6000’s 4,608 shading units, 288 TMUs, and 96 ROPs. The MI100 leads in shader count by 66.7% and TMU count by 66.7%, but trails in ROP count by 33.3%.

Pixel and texture rates reflect these differences. The MI100 produces 96.13 GPixel/s and 721.0 GTexel/s, while the RTX 6000 produces 169.9 GPixel/s and 509.8 GTexel/s. The RTX 6000 has a 76.7% higher pixel rate, while the MI100 has a 41.4% higher texture rate. FP32 and FP16 compute: the MI100 delivers 23.07 TFLOPS FP32 and 46.14 TFLOPS FP16 (2:1), while the RTX 6000 delivers 16.31 TFLOPS FP32 and 32.62 TFLOPS FP16 (2:1). The MI100 leads by 41.4% in both. Power and physical specs: the MI100 draws 300 W versus 260 W, requires a 700 W PSU versus 600 W, and uses two 8-pin connectors versus one 6-pin and one 8-pin. Both are dual-slot cards with identical dimensions of 267 mm length and 111 mm height. The MI100 uses PCIe 4.0 x16, while the RTX 6000 uses PCIe 3.0 x16. Release dates differ by over two years: the MI100 launched on 2020-11-15, while the RTX 6000 launched on 2018-08-12. The RTX 6000 has a launch MSRP of 6,299 USD; the MI100 has no listed MSRP.

FAQ

Q: Which card has higher OpenCL performance?

A: The AMD Instinct MI100 scores 139,035 in Geekbench OpenCL, which is 87.4% higher than the NVIDIA Quadro RTX 6000’s 74,179.

Q: Can the MI100 be used for graphics rendering?

A: No. The MI100 has no display outputs and lists N/A for DirectX, OpenGL, and Vulkan support, making it unsuitable for any graphics workload.

Q: What is the memory bandwidth difference?

A: The MI100 provides 1.23 TB/s of bandwidth via 32 GB of HBM2 on a 4096-bit bus, while the RTX 6000 provides 672.0 GB/s via 24 GB of GDDR6 on a 384-bit bus. The MI100 has an 83% bandwidth advantage.

Q: Does the RTX 6000 support ray tracing?

A: Yes. The RTX 6000 has 72 ray tracing cores and 576 tensor cores, hardware features that the MI100 lacks entirely.

Q: Which card is more power-efficient?

A: The RTX 6000 draws 260 W and recommends a 600 W PSU, while the MI100 draws 300 W and recommends a 700 W PSU. The RTX 6000 also uses one 6-pin and one 8-pin connector versus the MI100’s two 8-pin connectors.

Q: How do these cards compare to their nearest rivals?

A: The MI100 is 0.7% ahead of the NVIDIA Tesla V100 PCIe 16 GB (138,063) and 0.9% ahead of the Tesla V100 SXM2 32 GB (137,731). The RTX 6000 is 4.5% ahead of the AMD Radeon RX 7900M (97,487) but 4.6% behind the AMD Radeon Pro Vega II Duo (106,750).

Where Each One Wins

The AMD Instinct MI100 wins decisively in compute-heavy workloads. Its OpenCL score of 139,035 outpaces the RTX 6000 by 87.4%, and its FP32 throughput of 23.07 TFLOPS exceeds 16.31 TFLOPS by 41.4%. The 32 GB HBM2 memory with 1.23 TB/s bandwidth gives it a massive edge in memory-bound tasks like large dataset processing, scientific simulation, and machine learning training. The MI100 also has a higher texture rate (721.0 GTexel/s versus 509.8 GTexel/s) and more shading units (7,680 versus 4,608), making it the superior choice for raw parallel compute. Its PCIe 4.0 x16 interface provides double the bus bandwidth of the RTX 6000’s PCIe 3.0 x16, reducing data transfer bottlenecks. For any workload that runs entirely on compute without needing to display results, the MI100 is the stronger performer.

The NVIDIA Quadro RTX 6000 wins in every graphics-related scenario. Its Vulkan score of 129,564 demonstrates strong graphics capability, and its support for DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 makes it a functional workstation GPU. The 72 ray tracing cores and 576 tensor cores enable real-time ray tracing and AI-accelerated features that the MI100 cannot offer. The RTX 6000’s higher pixel rate (169.9 GPixel/s versus 96.13 GPixel/s) makes it better for rasterization and display output, and its four DisplayPort 1.4a outputs plus one USB Type-C port allow multi-monitor setups. The RTX 6000 also has a higher ROP count (96 versus 64), improving fill-rate-bound operations. Lower power draw (260 W versus 300 W) and a smaller PSU requirement (600 W versus 700 W) make it easier to integrate into existing systems. For interactive 3D work, visualization, or any task requiring a display, the RTX 6000 is the only choice between these two.