AMD Instinct MI350X vs AMD Radeon RX 7900 GRE Comparison
AMD Instinct MI350X
Radeon RX 7900 GRE
PERFORMANCE BENCHMARKS
Analysis: AMD Instinct MI350X vs AMD Radeon RX 7900 GRE
Head-to-Head Benchmarks
The AMD Instinct MI350X and the AMD Radeon RX 7900 GRE occupy entirely different segments of the GPU market, and the recorded data reflects this divergence clearly. The MI350X is a compute-oriented accelerator with no display outputs, while the RX 7900 GRE is a conventional graphics card. Benchmark comparisons are limited by the fact that the MI350X has no recorded benchmark scores in the database, while the RX 7900 GRE has a substantial set of results. The MI350X sits at the 50th percentile of all GPUs in the database, whereas the RX 7900 GRE ranks at the 77th percentile. This percentile gap indicates that the Radeon card outperforms a larger share of the database's GPU population, though the MI350X's absence of benchmark entries makes direct score comparisons impossible.
The RX 7900 GRE delivers an average benchmark score of 32,456 across its recorded tests. Its nearest rivals in the database include the AMD FirePro S10000 with an average score of 32,388 and a delta of 0.2 percent, the AMD FirePro S9300 X2 at 32,540 with a negative delta of 0.3 percent, the AMD Radeon RX 590 GME at 32,601 with a negative delta of 0.4 percent, and the AMD Radeon Pro 570X at 32,176 with a delta of 0.9 percent. These deltas are all within one percentage point, indicating that the RX 7900 GRE's average score places it in a tightly clustered performance band among its closest competitors in the database.
In synthetic compute workloads, the RX 7900 GRE shows strong results. Its OpenCL score in Geekbench reaches 175,758, while its Vulkan score reaches 99,850. The PassMark suite shows a G3D score of 27,089 and a GPU compute score of 15,016. DirectX tests in PassMark produce scores of 139 for DirectX 10, 300 for DirectX 11, 107 for DirectX 12, and 310 for DirectX 9. The G2D score is 1,180. The 3DMark Steel Nomad DX12 test yields a score of 4,814. These numbers establish the RX 7900 GRE as a capable performer in both graphics and compute tasks, with its percentile rank of 77 confirming that it beats most other GPUs in the database.
The MI350X, by contrast, has no recorded benchmark scores and an average score of zero. Its percentile rank of 50 is therefore a neutral placement, not a reflection of measured performance. The data shows that the MI350X targets a different workload profile entirely, one that is not captured by the standard graphics benchmarks in the database. The FP32 compute figure for the MI350X is 72.09 TFLOPS, which exceeds the RX 7900 GRE's 45.98 TFLOPS. The FP16 figure for the MI350X is also 72.09 TFLOPS with a 1:1 ratio, while the RX 7900 GRE reaches 91.96 TFLOPS with a 2:1 ratio. This means the Radeon card has a higher FP16 throughput in the database record, while the Instinct card has a higher FP32 throughput.
Texture rate and pixel rate further separate the two. The MI350X delivers a texture rate of 2,252.8 GTexel/s, compared to 718.4 GTexel/s for the RX 7900 GRE. The pixel rate for the MI350X is recorded as 0 MPixel/s, while the RX 7900 GRE reaches 359.2 GPixel/s. The zero pixel rate for the MI350X aligns with its lack of display outputs and its role as a compute accelerator rather than a rendering device. The shading unit counts tell a similar story: the MI350X has 16,384 shading units and 1,024 texture mapping units, while the RX 7900 GRE has 5,120 shading units and 320 texture mapping units. The RX 7900 GRE also includes 160 ROPs and 80 ray tracing cores, while the MI350X lists zero ROPs and no ray tracing cores in the database.
FAQ
Q: Which GPU has a higher FP32 compute throughput?
A: The AMD Instinct MI350X records 72.09 TFLOPS FP32, while the AMD Radeon RX 7900 GRE records 45.98 TFLOPS FP32, making the MI350X approximately 57 percent higher in this metric.
Q: Does the RX 7900 GRE have a higher FP16 throughput than the MI350X?
A: Yes. The RX 7900 GRE records 91.96 TFLOPS FP16 with a 2:1 ratio, while the MI350X records 72.09 TFLOPS FP16 with a 1:1 ratio.
Q: What is the memory configuration difference between the two cards?
A: The MI350X uses 288 GB of HBM3e memory on an 8192-bit bus with 8.19 TB/s bandwidth. The RX 7900 GRE uses 16 GB of GDDR6 memory on a 256-bit bus with 576.0 GB/s bandwidth.
Q: Which card has a higher transistor density?
A: The RX 7900 GRE has a transistor density of 109.1 million transistors per square millimeter, while the MI350X has 77.7 million per square millimeter.
Q: What are the recorded benchmark scores for the MI350X?
A: The MI350X has no recorded benchmark scores in the database, with an average benchmark score of zero and a 50th percentile placement.
Q: How does the RX 7900 GRE compare to its nearest rivals in average score?
A: The RX 7900 GRE's average score of 32,456 is within one percentage point of its nearest rivals: the AMD FirePro S10000 at 32,388 with a 0.2 percent delta, the AMD FirePro S9300 X2 at 32,540 with a negative 0.3 percent delta, the AMD Radeon RX 590 GME at 32,601 with a negative 0.4 percent delta, and the AMD Radeon Pro 570X at 32,176 with a 0.9 percent delta.
The Verdict
The data indicates that these two GPUs serve fundamentally different purposes. The AMD Instinct MI350X is a compute accelerator with a 1000 W TDP, no display outputs, and a 288 GB HBM3e memory pool. It carries no benchmark scores in the database, so its performance relative to the RX 7900 GRE cannot be established through recorded measurements. Its FP32 and texture rate figures, however, are substantially higher than the Radeon card's, suggesting that its design prioritizes compute throughput over graphics rendering. The MI350X also uses a 3 nm process node from TSMC, has a die size of 2380 mm², and contains 185,000 million transistors.
The AMD Radeon RX 7900 GRE is a conventional graphics card with a 260 W TDP, dual-slot cooling, two 8-pin power connectors, and a full set of display outputs including HDMI 2.1a, DisplayPort 2.1, and USB Type-C. Its benchmark results are extensive, and its 77th percentile placement shows that it outperforms the majority of GPUs in the database. The RX 7900 GRE's nearest rivals are all within one percentage point of its average score, confirming that it sits in a competitive performance band. Its 16 GB of GDDR6 memory and 576.0 GB/s bandwidth are modest compared to the MI350X, but the card is designed for graphics workloads that require pixel output and ray tracing, which the MI350X does not provide.
Users who need a graphics card with display outputs, ray tracing cores, and DirectX 12 Ultimate support should select the RX 7900 GRE, as the MI350X offers none of these features. Users who need massive memory capacity, very high FP32 throughput, and a compute-focused architecture should consider the MI350X, provided their workloads align with its capabilities. The data does not support a direct performance comparison because the MI350X has no benchmark entries, so any choice must be based on the recorded specifications and the workload requirements.
Specification Differences
The AMD Instinct MI350X uses a 3 nm process node from TSMC, while the AMD Radeon RX 7900 GRE uses a 5 nm process node from TSMC. The MI350X has 185,000 million transistors on a 2380 mm² die, while the RX 7900 GRE has 57,700 million transistors on a 529 mm² die. The transistor density favors the RX 7900 GRE at 109.1 million per square millimeter, compared to 77.7 million for the MI350X. The MI350X has a base clock of 1000 MHz and a boost clock of 2200 MHz, while the RX 7900 GRE has a base clock of 1287 MHz, a boost clock of 2245 MHz, and a game clock of 1880 MHz. The MI350X memory clock is 2000 MHz with 8 Gbps effective speed, while the RX 7900 GRE memory clock is 2250 MHz with 18 Gbps effective speed.
Memory capacity differs sharply: the MI350X offers 288 GB of HBM3e, while the RX 7900 GRE offers 16 GB of GDDR6. The bus width is 8192 bit for the MI350X and 256 bit for the RX 7900 GRE. Bandwidth reaches 8.19 TB/s for the MI350X and 576.0 GB/s for the RX 7900 GRE. The MI350X has 16,384 shading units and 1,024 TMUs, while the RX 7900 GRE has 5,120 shading units and 320 TMUs. The RX 7900 GRE has 160 ROPs and 80 ray tracing cores; the MI350X lists zero ROPs and no ray tracing cores. The MI350X has a TDP of 1000 W and no power connectors, while the RX 7900 GRE has a TDP of 260 W and two 8-pin connectors. The recommended PSU is 1400 W for the MI350X and 600 W for the RX 7900 GRE. The MI350X uses an OAM Module slot width, while the RX 7900 GRE is dual-slot. The MI350X uses PCIe 5.0 x16, while the RX 7900 GRE uses PCIe 4.0 x16. The MI350X has no display outputs; the RX 7900 GRE has one HDMI 2.1a, two DisplayPort 2.1, and one USB Type-C. The MI350X measures 102 mm in length and 165 mm in width, while the RX 7900 GRE measures 276 mm in length, 110 mm in height, and 51 mm in width.
Architecture Differences
The AMD Instinct MI350X is built on the CDNA 4.0 architecture and belongs to the Instinct (MIx) generation. The AMD Radeon RX 7900 GRE is built on the RDNA 3.0 architecture, uses the Navi 31 chip, and belongs to the Navi III (RX 7000) generation with the codename Plum Bonito. The MI350X chip is designated MI350 256CU, while the RX 7900 GRE uses Navi 31. The MI350X does not support DirectX, OpenGL, or Vulkan according to the database, while the RX 7900 GRE supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI350X has no API support recorded, which aligns with its lack of display outputs and graphics-oriented features. The RX 7900 GRE includes ray tracing cores, while the MI350X does not list any. The MI350X has a 1:1 FP16 to FP32 ratio, while the RX 7900 GRE has a 2:1 ratio, indicating different compute precision strategies. The MI350X predecessor is Radeon Instinct, while the RX 7900 GRE predecessor is Navi II and its successor is Navi IV. The RX 7900 GRE was released on July 26, 2023, while the MI350X was released on June 11, 2025. The RX 7900 GRE has a launch MSRP of 549 USD. The production status of the MI350X is not recorded, while the RX 7900 GRE is listed as active.