AMD Instinct MI300 vs NVIDIA RTX 4000 Ada Generation Comparison

Head-to-Head Benchmarks

The recorded data presents an unusual comparison landscape. The AMD Instinct MI300 and the NVIDIA RTX 4000 Ada Generation occupy different segments of the hardware spectrum, and the benchmark database reflects this through a stark asymmetry in available measurements. The MI300 has no recorded benchmark scores, resulting in zero wins and a percentile ranking of 50 against all GPUs. In contrast, the RTX 4000 Ada Generation holds two direct benchmark entries, securing an average score of 135,218 and a percentile ranking of 95.

The RTX 4000 Ada Generation delivers a Geekbench OpenCL score of 146,593. Its Geekbench Vulkan score is 123,842. These two figures establish a performance baseline that the MI300 cannot contest, as the database contains no comparable workload results for the AMD accelerator. The absence of data is itself a significant finding. The MI300, with its 47.87 TFLOPS FP32 throughput, does not appear in the same benchmark harness, making a direct apples-to-apples comparison impossible from the available records.

The nearest rivals for the RTX 4000 Ada Generation provide context for its standing. The NVIDIA A10M posts an average score of 135,230, a delta of 0% from the RTX 4000. The AMD Radeon PRO W6800 scores 135,396, placing it 0.1% behind. The AMD Radeon Pro W6800X Duo achieves 135,774, a 0.4% deficit. The AMD Radeon PRO V620 leads that pack slightly at 136,472, but the RTX 4000 trails it by only 0.9%. These margins are narrow, indicating the RTX 4000 sits in a tight competitive cluster for its workload class.

The MI300, lacking any benchmark entries, cannot be positioned against these rivals. Its theoretical specifications, such as a 5.32 TB/s memory bandwidth and 128 GB of HBM3, suggest a different performance envelope, but the database does not substantiate this with measured scores. The data indicates that for the RTX 4000, the OpenCL result is 18.3% higher than its Vulkan result, a gap that reflects workload-specific scaling within the Ada Lovelace architecture.

FAQ

Q: What does the benchmark data show for the AMD Instinct MI300?

A: The database lists no benchmark scores for the MI300. It records zero wins in head-to-head comparisons, an average benchmark score of 0, and a percentile ranking of 50 against all GPUs. This places it at the median position purely by classification, not by measured performance.

Q: How does the RTX 4000 Ada Generation compare to its nearest rivals?

A: The RTX 4000 Ada Generation averages 135,218 across its two benchmarks. The NVIDIA A10M is statistically tied at 135,230 (0% delta). The AMD Radeon PRO W6800 trails by 0.1%, the W6800X Duo by 0.4%, and the Radeon PRO V620 leads by 0.9%. The RTX 4000 holds a near-parity position within this group.

Q: Which GPU has the higher FP32 throughput?

A: The AMD Instinct MI300 records 47.87 TFLOPS of FP32 compute. The NVIDIA RTX 4000 Ada Generation records 26.73 TFLOPS. The MI300 delivers 79% higher FP32 throughput on paper, though no benchmark score confirms this advantage in practice.

Q: What are the memory specifications for each card?

A: The MI300 uses 128 GB of HBM3 on an 8192-bit bus, yielding 5.32 TB/s of bandwidth. The RTX 4000 uses 20 GB of GDDR6 on a 160-bit bus, yielding 360.0 GB/s. The MI300 offers 6.4 times the memory capacity and 14.8 times the bandwidth.

Q: Are there any benchmark results for the MI300 in the database?

A: No. The MI300 has an empty benchmarks array. The RTX 4000 has two entries: Geekbench OpenCL at 146,593 and Geekbench Vulkan at 123,842. The database provides no measured performance data for the MI300.

Q: What is the percentile ranking difference between the two?

A: The MI300 ranks at the 50th percentile against all GPUs. The RTX 4000 ranks at the 95th percentile. This 45-point gap reflects the RTX 4000's validated benchmark presence versus the MI300's absence of recorded scores.

The Verdict

The data dictates a clear but caveated conclusion. For any workload represented by the Geekbench OpenCL and Vulkan suites, the RTX 4000 Ada Generation is the only option with measured evidence. Its 95th percentile standing and average score of 135,218 place it among the top tier of recorded GPUs. The MI300, with no benchmarks, cannot be recommended on the basis of performance data. Its 50th percentile rank is a placeholder, not a verdict.

However, the specification sheet tells a different story. The MI300 offers 128 GB of HBM3 memory, 5.32 TB/s of bandwidth, and 47.87 TFLOPS of FP32. These figures exceed the RTX 4000 by wide margins in every category. The RTX 4000 counters with a 130 W TDP, single-slot form factor, and 4x DisplayPort 1.4a outputs, none of which the MI300 provides. The MI300 has no display outputs and consumes 600 W.

The recorded data supports selecting the RTX 4000 for immediate, verifiable compute tasks. The MI300 presents as a high-capacity accelerator whose performance remains unmeasured in this database. Users with memory-bound or bandwidth-bound workloads may find the MI300's specifications compelling, but the lack of benchmark confirmation leaves that decision unsupported by evidence. The RTX 4000 is the only card with proven scores, and it holds a 95th percentile position.

Specification Differences

The two accelerators diverge across nearly every measurable field. The MI300 uses an AMD Aqua Vanjaram chip with a 1017 mm² die size, housing 153,000 million transistors. The RTX 4000 uses an NVIDIA AD104 chip with a 294 mm² die, housing 35,800 million transistors. The MI300's transistor density is 150.4M per mm², while the RTX 4000's is 121.8M per mm².

Clock speeds differ substantially. The MI300 has a base clock of 1000 MHz and a boost clock of 1700 MHz. The RTX 4000 has a base clock of 1500 MHz and a boost clock of 2175 MHz. The RTX 4000 runs 50% higher at base and 28% higher at boost.

Memory configurations are in different leagues. The MI300 carries 128 GB of HBM3 across an 8192-bit bus, achieving 5.32 TB/s. The RTX 4000 carries 20 GB of GDDR6 across a 160-bit bus, achieving 360.0 GB/s. The memory clock differs: 1300 MHz (5.2 Gbps effective) for the MI300 versus 2250 MHz (18 Gbps effective) for the RTX 4000.

Compute unit counts favor the MI300. It has 14,080 shading units, 880 texture mapping units, and 0 ROPs. The RTX 4000 has 6,144 shading units, 192 TMUs, and 64 ROPs. The MI300 posts a texture rate of 1,496.0 GTexel/s versus 417.6 GTexel/s for the RTX 4000. Pixel rate is 0 MPixel/s for the MI300 and 139.2 GPixel/s for the RTX 4000.

Power and connectivity differ sharply. The MI300 draws 600 W TDP with 2x 8-pin connectors and a suggested 1000 W PSU. The RTX 4000 draws 130 W TDP with 1x 16-pin connector and a suggested 300 W PSU. The MI300 uses PCIe 5.0 x16; the RTX 4000 uses PCIe 4.0 x16. The MI300 has no display outputs; the RTX 4000 has 4x DisplayPort 1.4a.

Physical dimensions are close. The MI300 measures 267 mm in length and 111 mm in height. The RTX 4000 measures 245 mm in length and 112 mm in height. The RTX 4000 is single-slot; the MI300's slot width is not recorded.

Architecture Differences

The MI300 runs on CDNA 3.0 architecture, designed for compute acceleration. The RTX 4000 runs on Ada Lovelace, a workstation-oriented architecture from the GeForce 40-series lineage. Both are fabricated on a 5 nm process at TSMC, but their design philosophies diverge.

The MI300 has no ray tracing cores, no tensor cores, and no API support for DirectX, OpenGL, or Vulkan. Its architecture is pure compute, optimized for throughput rather than graphics. The RTX 4000 includes 48 ray tracing cores and 192 tensor cores, with full API support: DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

The MI300's FP16 output matches its FP32 at 47.87 TFLOPS (1:1 ratio). The RTX 4000 also runs FP16 at 1:1, delivering 26.73 TFLOPS. Neither card shows separate tensor or ray tracing throughput in the recorded data.

The MI300's predecessor is Radeon Instinct; the RTX 4000's predecessor is Workstation Ampere. The RTX 4000 has a successor, Blackwell PRO W, while the MI300 does not. The RTX 4000 is marked as Active in production status; the MI300's status is not recorded.

The MI300 was released on 2023-01-03, the RTX 4000 on 2023-08-08. The MI300 uses HBM3 memory, which is optimized for bandwidth density, while the RTX 4000 uses GDDR6, which balances cost and capacity. The MI300's 8192-bit bus is a defining architectural choice, enabling its 5.32 TB/s throughput. The RTX 4000's 160-bit bus is narrow by comparison, capped at 360.0 GB/s.

Where Each One Wins

The RTX 4000 Ada Generation wins decisively in the measured benchmark domain. Its Geekbench OpenCL score of 146,593 and Vulkan score of 123,842 give it the only verified performance data in this comparison. The RTX 4000 also wins on power efficiency, drawing 130 W versus the MI300's 600 W, a 78% reduction in power draw. It provides display outputs, supports modern graphics APIs, and fits in a single slot. For graphics-centric or API-dependent workloads, the RTX 4000 is the clear choice.

The MI300 wins on raw capacity and throughput specifications. Its 128 GB of HBM3 memory eclipses the RTX 4000's 20 GB, offering 6.4 times the capacity. Its 5.32 TB/s bandwidth is 14.8 times the RTX 4000's 360.0 GB/s. Its FP32 throughput of 47.87 TFLOPS is 79% higher. For memory-bound or bandwidth-intensive compute tasks, these specifications point to the MI300, though no benchmark confirms this.

The MI300 also wins on transistor count and die area. Its 153,000 million transistors and 1017 mm² die dwarf the RTX 4000's 35,800 million and 294 mm². The MI300's PCIe 5.0 interface doubles the RTX 4000's PCIe 4.0 bandwidth on paper.

The RTX 4000 wins on clocks, with a 2175 MHz boost versus the MI300's 1700 MHz. It wins on pixel rate, 139.2 GPixel/s versus 0 MPixel/s. It wins on ROPs, 64 versus 0. It wins on API compatibility, with full DirectX, OpenGL, and Vulkan support against the MI300's N/A.

The data splits cleanly: verified performance, power efficiency, and graphics features go to the RTX 4000. Unverified capacity, bandwidth, and compute specifications go to the MI300. Without MI300 benchmark results, the RTX 4000 remains the only card with demonstrated wins in actual workloads.