AMD Instinct MI300X vs NVIDIA RTX 5000 Max-Q Ada Generation Comparison

AMD Instinct MI300X vs NVIDIA RTX 5000 Max-Q Ada Generation

The AMD Instinct MI300X and the NVIDIA RTX 5000 Max-Q Ada Generation target entirely different segments, and the recorded data confirms a wide gulf in compute capability. The MI300X holds a Geekbench OpenCL score of 317994, placing it in the 100th percentile of all GPUs in the database. The RTX 5000 Max-Q Ada Generation has no recorded benchmark score in the database, sits at the 50th percentile, and its average benchmark score is listed as 0. The MI300X’s nearest rivals in the database include the NVIDIA H200 NVL (score 334891, 5% ahead), the NVIDIA B200 (score 345482, 8% ahead), the NVIDIA L40S (score 295763, 7.5% behind), and the NVIDIA RTX 6000 Ada Generation (score 287237, 10.7% behind). No comparable head-to-head benchmark entries exist for the RTX 5000 Max-Q Ada Generation, so relative performance must be inferred from the architectural and specification data.

Head-to-Head Benchmarks

The database contains no direct head-to-head benchmark entries for these two accelerators, so a side-by-side score comparison cannot be made. The only benchmark recorded for the MI300X is Geekbench OpenCL with a score of 317994, which is the sole data point for its performance. This score places it at the 100th percentile of all GPUs, meaning it outperforms every other recorded GPU in the database. Its nearest rival, the NVIDIA H200 NVL, scores 334891, which is 5% higher, while the NVIDIA B200 scores 345482, 8% higher. The MI300X beats the NVIDIA L40S (295763) by 7.5% and the NVIDIA RTX 6000 Ada Generation (287237) by 10.7%. These deltas illustrate that the MI300X sits in a performance tier where even its closest competitors are within a single-digit percentage, and its lead over lower-tier accelerators is solid but not overwhelming.

For the RTX 5000 Max-Q Ada Generation, no benchmark scores are recorded. Its average benchmark score is listed as 0, and it has no nearest rivals in the database. Its percentile rank of 50 indicates it falls in the middle of the distribution of all GPUs, but without a numeric score, the exact magnitude of its performance relative to the MI300X cannot be quantified from the database. The data shows that the MI300X is a high-end compute accelerator with a recorded score, while the RTX 5000 Max-Q Ada Generation lacks any recorded performance metric, making direct numerical comparison impossible.

Architecture Differences

The two GPUs are built on different architectures. The MI300X uses CDNA 3.0, a compute-focused design from AMD, while the RTX 5000 Max-Q Ada Generation uses NVIDIA’s Ada Lovelace architecture. Both are fabricated on a 5 nm process at TSMC, which is a shared manufacturing feature. The MI300X uses the Aqua Vanjaram chip, while the RTX 5000 Max-Q Ada Generation uses the AD103 chip. The MI300X has 153,000 million transistors on a die size of 1017 mm², giving a transistor density of 150.4M per mm². The RTX 5000 Max-Q Ada Generation has 45,900 million transistors on a 379 mm² die, for a density of 121.1M per mm². The MI300X’s die is significantly larger and packs more transistors, which aligns with its role as a data-center accelerators with massive memory and compute resources.

Memory architecture diverges sharply. The MI300X uses HBM3 memory totaling 192 GB, with a bus width of 8192 bits and a bandwidth of 5.32 TB/s. The RTX 5000 Max-Q Ada Generation uses GDDR6 memory totaling 16 GB, with a bus width of 256 bits and a bandwidth of 576.0 GB/s. The memory clock for the MI300X is 1300 MHz (5.2 Gbps effective), while the RTX 5000 Max-Q Ada Generation runs at 2250 MHz (18 Gbps effective). The MI300X’s memory bandwidth is an order of magnitude higher, which is critical for large-scale data processing and AI workloads.

Compute resources also differ. The MI300X has 19,456 shading units, 1,216 texture mapping units, and no ROPs or ray tracing cores. The RTX 5000 Max-Q Ada Generation has 9,728 shading units, 304 TMUs, 112 ROPs, 76 ray tracing cores, and 304 tensor cores. The MI300X reports a pixel rate of 0 MPixel/s and a texture rate of 2,553.6 GTexel/s, while the RTX 5000 Max-Q Ada Generation has a pixel rate of 188.2 GPixel/s and a texture rate of 510.7 GTexel/s. The MI300X’s FP32 performance is 81.72 TFLOPS, and its FP16 performance is 81.72 TFLOPS (1:1). The RTX 5000 Max-Q Ada Generation delivers 32.69 TFLOPS FP32 and 32.69 TFLOPS FP16 (1:1). The MI300X provides more than double the FP32 throughput.

Clock speeds differ as well. The MI300X has a base clock of 1000 MHz and a boost clock of 2100 MHz. The RTX 5000 Max-Q Ada Generation has a base clock of 930 MHz and a boost clock of 1680 MHz. The MI300X’s higher boost clock, combined with its larger shader array, explains its higher raw compute throughput.

Where Each One Wins

The MI300X wins in raw compute and memory capacity. Its 192 GB of HBM3 memory with 5.32 TB/s bandwidth is designed for workloads that need to hold large models or datasets in memory. Its FP32 and FP16 throughput of 81.72 TFLOPS is more than double that of the RTX 5000 Max-Q Ada Generation. The MI300X also has a higher texture rate (2,553.6 GTexel/s) and a larger transistor count. Its 100th percentile rank in the database confirms it is at the top of the performance distribution.

The RTX 5000 Max-Q Ada Generation wins in features that the MI300X lacks. It has 112 ROPs, enabling a pixel rate of 188.2 GPixel/s, while the MI300X has zero ROPs and a 0 MPixel/s pixel rate, meaning it cannot perform traditional rasterization output. The RTX 5000 Max-Q Ada Generation also has 76 ray tracing cores and 304 tensor cores, which are absent in the MI300X. Its API support includes DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the MI300X lists N/A for all three APIs, indicating no graphics or compute API compatibility in the traditional sense. The RTX 5000 Max-Q Ada Generation is described as an IGP (integrated graphics processor) with portable device dependent display outputs, making it suitable for mobile workstations where graphics output is required. The MI300X has no display outputs at all.

In terms of power, the RTX 5000 Max-Q Ada Generation has a TDP of 120 W, while the MI300X has a TDP of 750 W. The MI300X requires a suggested PSU of 1150 W, while the RTX 5000 Max-Q Ada Generation has no suggested PSU listed. The RTX 5000 Max-Q Ada Generation’s lower power envelope makes it feasible in portable systems, whereas the MI300X is an OAM module with no power connectors, designed for server racks with dedicated power delivery.

Specification Differences

The two accelerators differ in nearly every measurable specification. The MI300X uses the CDNA 3.0 architecture, while the RTX 5000 Max-Q Ada Generation uses Ada Lovelace. The MI300X has 153,000 million transistors and a 1017 mm² die, while the RTX 5000 Max-Q Ada Generation has 45,900 million transistors and a 379 mm² die. Transistor density is 150.4M per mm² for the MI300X versus 121.1M per mm² for the RTX 5000 Max-Q Ada Generation.

Clock speeds: the MI300X runs at 1000 MHz base and 2100 MHz boost, while the RTX 5000 Max-Q Ada Generation runs at 930 MHz base and 1680 MHz boost. Memory clocks are 1300 MHz (5.2 Gbps effective) for the MI300X and 2250 MHz (18 Gbps effective) for the RTX 5000 Max-Q Ada Generation. Memory size is 192 GB HBM3 for the MI300X versus 16 GB GDDR6 for the RTX 5000 Max-Q Ada Generation. Bus width is 8192 bits versus 256 bits, and bandwidth is 5.32 TB/s versus 576.0 GB/s.

Shading units: 19,456 versus 9,728. TMUs: 1,216 versus 304. ROPs: 0 versus 112. The MI300X has no ray tracing cores or tensor cores, while the RTX 5000 Max-Q Ada Generation has 76 ray tracing cores and 304 tensor cores. Pixel rate is 0 MPixel/s versus 188.2 GPixel/s. Texture rate is 2,553.6 GTexel/s versus 510.7 GTexel/s. FP32 and FP16 are both 81.72 TFLOPS for the MI300X and 32.69 TFLOPS for the RTX 5000 Max-Q Ada Generation.

TDP is 750 W versus 120 W. Slot width is OAM Module versus IGP. Power connectors are None for both, but the MI300X has a suggested PSU of 1150 W while the RTX 5000 Max-Q Ada Generation has none listed. Bus interface is PCIe 5.0 x16 for the MI300X and PCIe 4.0 x16 for the RTX 5000 Max-Q Ada Generation. Display outputs are “No outputs” for the MI300X and “Portable Device Dependent” for the RTX 5000 Max-Q Ada Generation. API support: the MI300X lists N/A for DirectX, OpenGL, and Vulkan; the RTX 5000 Max-Q Ada Generation supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Release dates differ: the MI300X was released on 2023-12-05, while the RTX 5000 Max-Q Ada Generation was released on 2023-03-20. The RTX 5000 Max-Q Ada Generation has a predecessor (Ampere-MW) and a successor (Blackwell-MW), while the MI300X lists only a predecessor (Radeon Instinct) and no successor. The RTX 5000 Max-Q Ada Generation has a production status of Active, while the MI300X has no production status listed.

FAQ

Q: Which GPU has a higher FP32 compute performance?

A: The AMD Instinct MI300X delivers 81.72 TFLOPS FP32, while the NVIDIA RTX 5000 Max-Q Ada Generation delivers 32.69 TFLOPS FP32. The MI300X is more than double in raw FP32 throughput.

Q: How much memory bandwidth does each GPU provide?

A: The MI300X provides 5.32 TB/s of bandwidth from 192 GB of HBM3 memory on an 8192-bit bus. The RTX 5000 Max-Q Ada Generation provides 576.0 GB/s from 16 GB of GDDR6 memory on a 256-bit bus.

Q: Does the MI300X support ray tracing or tensor cores?

A: No. The MI300X has no ray tracing cores and no tensor cores. The RTX 5000 Max-Q Ada Generation has 76 ray tracing cores and 304 tensor cores.

Q: What is the power consumption difference?

A: The MI300X has a TDP of 750 W and requires a suggested PSU of 1150 W. The RTX 5000 Max-Q Ada Generation has a TDP of 120 W and has no suggested PSU listed.

Q: Which GPU has a higher pixel rate?

A: The RTX 5000 Max-Q Ada Generation has a pixel rate of 188.2 GPixel/s due to its 112 ROPs. The MI300X has a pixel rate of 0 MPixel/s and no ROPs.

Q: Are there any recorded benchmark scores for the RTX 5000 Max-Q Ada Generation?

A: No. The database lists no benchmark scores for the RTX 5000 Max-Q Ada Generation, with an average benchmark score of 0 and a percentile rank of 50. The MI300X has a Geekbench OpenCL score of 317994 and is at the 100th percentile.