AMD Instinct MI355X vs NVIDIA RTX 4000 Ada Generation Comparison
AMD Instinct MI355X
RTX 4000 Ada Generation
PERFORMANCE BENCHMARKS
Analysis: AMD Instinct MI355X vs NVIDIA RTX 4000 Ada Generation
Where Each One Wins
The recorded data splits these two accelerators into entirely different operating domains. The AMD Instinct MI355X has no benchmark entries in the database, and its percentile versus all GPUs sits at 50, meaning it lands at the midpoint of the installed base. Its average benchmark score is zero, and it has no nearest rivals listed. In practical terms, the database contains no measured application wins for the MI355X. The NVIDIA RTX 4000 Ada Generation, by contrast, holds two recorded benchmark results: a Geekbench OpenCL score of 146593 and a Geekbench Vulkan score of 123842. Its average benchmark score is 135218, and its percentile versus all GPUs is 95, placing it well above the MI355X in the distribution of all tracked GPUs.
The RTX 4000 Ada also has a defined competitive field. Its nearest rival, the NVIDIA A10M, scores 135230 with a delta of 0 percent. The AMD Radeon PRO W6800 trails by 0.1 percent at 135396, the AMD Radeon Pro W6800X Duo trails by 0.4 percent at 135774, and the AMD Radeon PRO V620 trails by 0.9 percent at 136472. These deltas are small, all within a single percentage point, which indicates that the RTX 4000 Ada sits in a tightly clustered performance tier among workstation cards. The MI355X, with no measured scores, cannot be placed in any such comparison.
The use-case split is therefore stark. The RTX 4000 Ada Generation is the only one of the two with verified compute results in the database, and it wins in every measured category by default. The MI355X is a data-center accelerator with no display outputs, no API support entries, and no benchmark records, so the data cannot support any workload win for it. Any analysis of wins must rely on the RTX 4000 Ada's measured results and its position among its nearest rivals.
Architecture Differences
The two parts share a foundry, TSMC, but diverge on nearly every other architectural element. The MI355X uses AMD's CDNA 4.0 architecture on a 3 nm process, while the RTX 4000 Ada uses NVIDIA's Ada Lovelace architecture on a 5 nm process. The MI355X is built around the MI350 256CU chip, whereas the RTX 4000 Ada uses the AD104 chip. Transistor counts differ enormously: the MI355X packs 185,000 million transistors on a 2380 mm² die, giving a transistor density of 77.7 million per square millimeter. The RTX 4000 Ada has 35,800 million transistors on a 294 mm² die, with a higher density of 121.8 million per square millimeter. The MI355X is physically the larger device by a wide margin, but the RTX 4000 Ada is the denser one.
Memory architecture is fundamentally different. The MI355X uses 288 GB of HBM3e on an 8192 bit bus, delivering 8.19 TB/s of bandwidth. The RTX 4000 Ada uses 20 GB of GDDR6 on a 160 bit bus, delivering 360.0 GB/s. That is a 23x difference in bus width and a bandwidth gap of more than an order of magnitude. The MI355X's memory clock is listed as 2000 MHz with 8 Gbps effective, while the RTX 4000 Ada's memory runs at 2250 MHz with 18 Gbps effective. The RTX 4000 Ada uses a smaller, slower aggregate memory system but a much faster per-pin data rate.
Compute resources also differ sharply. The MI355X has 16384 shading units and 1024 texture mapping units, with zero ROPs and no listed ray tracing or tensor cores. The RTX 4000 Ada has 6144 shading units, 192 TMUs, 64 ROPs, 48 ray tracing cores, and 192 tensor cores. The MI355X reports a pixel rate of 0 MPixel/s, which is consistent with a compute-only accelerator, while the RTX 4000 Ada reports 139.2 GPixel/s. Texture rates are 2457.6 GTexel/s for the MI355X versus 417.6 GTexel/s for the RTX 4000 Ada. FP32 throughput is 78.64 TFLOPS for the MI355X and 26.73 TFLOPS for the RTX 4000 Ada, with both listed at a 1:1 FP16 ratio. The MI355X is a massive compute device, while the RTX 4000 Ada is a graphics-capable workstation part with fixed-function hardware for ray tracing and tensor work.
The RTX 4000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI355X lists N/A for DirectX, OpenGL, and Vulkan, reinforcing its role as a non-rendering accelerator. The MI355X has no display outputs, while the RTX 4000 Ada has four DisplayPort 1.4a outputs. Physical format also differs: the MI355X is an OAM module with dimensions of 102 mm by 165 mm and no power connectors, while the RTX 4000 Ada is a single-slot card measuring 245 mm by 112 mm with a single 16-pin power connector.
Head-to-Head Benchmarks
There are no head-to-head benchmark records in the database for these two products, so a direct comparison of measured scores is impossible. The only benchmark data available belongs to the RTX 4000 Ada. Its Geekbench OpenCL score of 146593 exceeds its Geekbench Vulkan score of 123842 by 22751 points, which is an 18.4 percent advantage for the OpenCL result. The average of these two scores is 135218, and the RTX 4000 Ada's percentile of 95 indicates that it outperforms 95 percent of all GPUs in the database.
The nearest rival data places the RTX 4000 Ada in a tight group. The NVIDIA A10M is the closest competitor with an average score of 135230 and a delta of 0 percent, meaning the two are statistically tied. The AMD Radeon PRO W6800 scores 135396, which is 0.1 percent lower. The AMD Radeon Pro W6800X Duo scores 135774, 0.4 percent lower. The AMD Radeon PRO V620 scores 136472, 0.9 percent lower. None of these deltas exceed 1 percent, so the RTX 4000 Ada is effectively at parity with its nearest rivals in average benchmark score. The MI355X has no comparable records, so no head-to-head numbers can be cited for it.
Specification Differences
The two products differ in every major specification field. The MI355X is built on a 3 nm process, the RTX 4000 Ada on 5 nm. Transistor count is 185,000 million versus 35,800 million. Die size is 2380 mm² versus 294 mm². Transistor density is 77.7M per mm² versus 121.8M per mm². The MI355X has a base clock of 1000 MHz and a boost clock of 2400 MHz; the RTX 4000 Ada has a base clock of 1500 MHz and a boost clock of 2175 MHz. Memory size is 288 GB of HBM3e versus 20 GB of GDDR6. Bus width is 8192 bit versus 160 bit. Memory bandwidth is 8.19 TB/s versus 360.0 GB/s. Shading units are 16384 versus 6144. TMUs are 1024 versus 192. ROPs are 0 versus 64. Ray tracing cores are not listed for the MI355X and are 48 for the RTX 4000 Ada. Tensor cores are not listed for the MI355X and are 192 for the RTX 4000 Ada. Pixel rate is 0 MPixel/s versus 139.2 GPixel/s. Texture rate is 2457.6 GTexel/s versus 417.6 GTexel/s. FP32 is 78.64 TFLOPS versus 26.73 TFLOPS. TDP is 1400 W versus 130 W. The suggested PSU is 1800 W versus 300 W. The MI355X is an OAM module with no power connectors, while the RTX 4000 Ada is a single-slot card with a 16-pin connector. The MI355X uses PCIe 5.0 x16, the RTX 4000 Ada uses PCIe 4.0 x16. The MI355X has no display outputs; the RTX 4000 Ada has four DisplayPort 1.4a outputs. The MI355X has no API support entries, while the RTX 4000 Ada supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. The MI355X was released on 2025-06-11, the RTX 4000 Ada on 2023-08-08. The MI355X's predecessor is Radeon Instinct; the RTX 4000 Ada's predecessor is Workstation Ampere, and its successor is Blackwell PRO W. The RTX 4000 Ada's production status is Active; the MI355X has no production status listed.
FAQ
Q: Which product has higher FP32 compute throughput?
A: The AMD Instinct MI355X lists 78.64 TFLOPS FP32, while the NVIDIA RTX 4000 Ada Generation lists 26.73 TFLOPS FP32. The MI355X is approximately 2.9 times higher in this specification.
Q: What memory configuration does each product use?
A: The MI355X uses 288 GB of HBM3e on an 8192 bit bus with 8.19 TB/s bandwidth. The RTX 4000 Ada uses 20 GB of GDDR6 on a 160 bit bus with 360.0 GB/s bandwidth.
Q: Does the AMD Instinct MI355X support graphics APIs?
A: No. The MI355X lists N/A for DirectX, OpenGL, and Vulkan, and it has no display outputs. The RTX 4000 Ada supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, and it has four DisplayPort 1.4a outputs.
Q: What are the recorded benchmark scores for the RTX 4000 Ada?
A: The RTX 4000 Ada has a Geekbench OpenCL score of 146593 and a Geekbench Vulkan score of 123842, with an average benchmark score of 135218.
Q: How does the RTX 4000 Ada compare to its nearest rivals?
A: Its closest rival, the NVIDIA A10M, has an average score of 135230 with a 0 percent delta. The AMD Radeon PRO W6800 is 0.1 percent lower at 135396, the AMD Radeon Pro W6800X Duo is 0.4 percent lower at 135774, and the AMD Radeon PRO V620 is 0.9 percent lower at 136472.
Q: What is the power requirement difference between the two?
A: The MI355X has a TDP of 1400 W and a suggested PSU of 1800 W, with no power connectors on the OAM module. The RTX 4000 Ada has a TDP of 130 W, a suggested PSU of 300 W, and uses a single 16-pin connector.
The Verdict
The database supports only one side of this comparison with measured data. The NVIDIA RTX 4000 Ada Generation has two benchmark records, an average score of 135218, a 95th percentile ranking, and a defined set of nearest rivals all within 1 percent of its score. The AMD Instinct MI355X has no benchmarks, no average score, and no rivals, so its performance cannot be verified from the recorded data. For any workload that relies on measured compute results, graphics API support, or display output, the RTX 4000 Ada is the only option with supporting evidence.
The MI355X is defined entirely by its specifications: a 3 nm CDNA 4.0 accelerator with 185,000 million transistors, 288 GB of HBM3e, 8.19 TB/s of memory bandwidth, 78.64 TFLOPS FP32, and a 1400 W TDP. It is a compute-only OAM module with no graphics features and no API support. The RTX 4000 Ada is a 130 W single-slot workstation card with 26.73 TFLOPS FP32, 20 GB of GDDR6, ray tracing cores, tensor cores, and four display outputs. The data indicates that the RTX 4000 Ada belongs in a workstation graphics context where its measured scores and 95th percentile placement matter. The MI355X belongs in a data-center compute context where its enormous memory capacity, bandwidth, and FP32 throughput are the relevant attributes, but the database currently contains no measurements to confirm its real-world standing.