AMD Instinct MI300X vs NVIDIA GeForce RTX 4070 AD103 Comparison

Head-to-Head Benchmarks

The benchmark database contains a single recorded measurement for the AMD Instinct MI300X, a Geekbench OpenCL score of 317,994. The NVIDIA GeForce RTX 4070 AD103 has no recorded benchmark scores in the database, and the head-to-head benchmark comparison table is empty. Consequently, direct score-to-score comparisons between these two specific products are not available from the recorded data.

The MI300X's score places it at the 100th percentile among all GPUs in the database, meaning it outperforms every other recorded GPU in the OpenCL workload. Its nearest rivals provide context for this result. The NVIDIA H200 NVL achieves an average score of 334,891, which is 5% higher than the MI300X. The NVIDIA B200 records 345,482, an 8% advantage. In the opposite direction, the NVIDIA L40S scores 295,763, which is 7.5% lower than the MI300X, and the NVIDIA RTX 6000 Ada Generation scores 287,237, 10.7% lower.

These deltas indicate that the MI300X sits in a tightly contested tier at the very top of the database. It trails the highest-scoring data-center accelerators by a single-digit margin, while leading the next tier down by a similar amount. The RTX 4070 AD103, with no recorded benchmarks, cannot be positioned on this scale. Its 50th percentile ranking is a database-wide percentile based on all GPUs, not a measured score, and it carries an average benchmark score of 0.

The absence of head-to-head results means the only quantitative comparison available is architectural: the MI300X delivers 81.72 TFLOPS of FP32 throughput versus 29.15 TFLOPS for the RTX 4070 AD103, a 2.8x difference. Texture rate also favors the MI300X at 2,553.6 GTexel/s versus 455.4 GTexel/s, a 5.6x gap. These are specification-level deltas, not measured benchmark deltas, and they reflect the fundamentally different roles of the two cards.

FAQ

Q: Which GPU has the higher recorded benchmark score?

A: Only the AMD Instinct MI300X has a recorded benchmark score in the database: 317,994 in Geekbench OpenCL. The NVIDIA GeForce RTX 4070 AD103 has no recorded benchmark scores, so no comparison is possible.

Q: How does the MI300X compare to its nearest rivals in the database?

A: The MI300X is 5% behind the NVIDIA H200 NVL (334,891), 8% behind the NVIDIA B200 (345,482), 7.5% ahead of the NVIDIA L40S (295,763), and 10.7% ahead of the NVIDIA RTX 6000 Ada Generation (287,237).

Q: What is the memory configuration difference between the two cards?

A: The MI300X has 192 GB of HBM3 memory on an 8192-bit bus with 5.32 TB/s bandwidth. The RTX 4070 AD103 has 12 GB of GDDR6X memory on a 192-bit bus with 504.2 GB/s bandwidth.

Q: What are the power requirements for each card?

A: The MI300X has a TDP of 750 W and a suggested power supply of 1150 W. The RTX 4070 AD103 has a TDP of 200 W and a suggested power supply of 550 W.

Q: Do both cards support the same graphics APIs?

A: No. The RTX 4070 AD103 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI300X lists N/A for DirectX, OpenGL, and Vulkan, indicating no graphics API support.

Q: What is the release date and production status of each card?

A: The MI300X was released on December 5, 2023, with no production status recorded. The RTX 4070 AD103 was released on February 29, 2024, and its production status is recorded as end-of-life.

Architecture Differences

The two GPUs share a manufacturing process: both use TSMC's 5 nm node. Beyond that, the architectures diverge completely.

AMD's MI300X uses the CDNA 3.0 architecture on the Aqua Vanjaram chip. It packs 153,000 million transistors onto a 1017 mm² die, yielding a transistor density of 150.4M per mm². This is a data-center compute accelerator with no display outputs and no graphics API support. Its design prioritizes raw compute and memory throughput over rendering features. The chip has 19,456 shading units, 1,216 texture mapping units, and zero ROPs, which is consistent with a non-rendering workload profile. Pixel rate is recorded as 0 MPixel/s. There are no recorded RT cores or tensor cores for this part, and FP32 and FP16 throughput are identical at 81.72 TFLOPS, indicating a 1:1 ratio rather than a dedicated half-precision path.

NVIDIA's RTX 4070 AD103 uses the Ada Lovelace architecture on the AD103 chip. It contains 45,900 million transistors on a 379 mm² die, with a transistor density of 121.1M per mm². This is a consumer rendering card with 5,888 shading units, 184 TMUs, 64 ROPs, 46 RT cores, and 184 tensor cores. It supports DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4. Its FP32 and FP16 figures are also 1:1 at 29.15 TFLOPS, but the presence of dedicated RT and tensor hardware indicates a different compute strategy aimed at graphics workloads and AI acceleration within a rendering context.

The transistor counts and die sizes reveal the scale disparity. The MI300X uses 3.3x more transistors and a die that is 2.7x larger. The density difference is smaller: 150.4M per mm² versus 121.1M per mm², a 24% advantage for the AMD chip. The memory architectures are entirely different classes: HBM3 with an 8192-bit bus versus GDDR6X with a 192-bit bus. The MI300X is a PCIe 5.0 x16 card in an OAM module form factor with no power connectors listed, while the RTX 4070 AD103 is a dual-slot PCIe 4.0 x16 card with a single 16-pin connector.

These are not competing products in the conventional sense. The MI300X is built for server-scale compute with no video outputs, while the RTX 4070 AD103 is a conventional graphics card with display outputs and a consumer API stack. The architectural choices reflect those roles.

Specification Differences

The following fields differ between the two cards in the recorded data:

• Chip: Aqua Vanjaram (AMD) versus AD103 (NVIDIA)
• Architecture: CDNA 3.0 versus Ada Lovelace
• Generation: Instinct (MIx) versus GeForce 40
• Transistors: 153,000 million versus 45,900 million
• Die size: 1017 mm² versus 379 mm²
• Transistor density: 150.4M / mm² versus 121.1M / mm²
• Base clock: 1000 MHz versus 1920 MHz
• Boost clock: 2100 MHz versus 2475 MHz
• Memory clock: 1300 MHz (5.2 Gbps effective) versus 1313 MHz (21 Gbps effective)
• Memory size: 192 GB versus 12 GB
• Memory type: HBM3 versus GDDR6X
• Memory bus width: 8192 bit versus 192 bit
• Memory bandwidth: 5.32 TB/s versus 504.2 GB/s
• Shading units: 19,456 versus 5,888
• TMUs: 1,216 versus 184
• ROPs: 0 versus 64
• RT cores: Not recorded versus 46
• Tensor cores: Not recorded versus 184
• Pixel rate: 0 MPixel/s versus 158.4 GPixel/s
• Texture rate: 2,553.6 GTexel/s versus 455.4 GTexel/s
• FP32: 81.72 TFLOPS versus 29.15 TFLOPS
• FP16: 81.72 TFLOPS versus 29.15 TFLOPS
• TDP: 750 W versus 200 W
• Slot width: OAM Module versus Dual-slot
• Power connectors: None versus 1x 16-pin
• Suggested PSU: 1150 W versus 550 W
• Bus interface: PCIe 5.0 x16 versus PCIe 4.0 x16
• Display outputs: No outputs versus 1x HDMI 2.13x DisplayPort 1.4a
• DirectX: N/A versus 12 Ultimate (12_2)
• OpenGL: N/A versus 4.6
• Vulkan: N/A versus 1.4
• Dimensions: Not recorded versus 240 mm x 110 mm x 40 mm
• Production status: Not recorded versus End-of-life
• Release date: December 5, 2023 versus February 29, 2024
• Predecessor: Radeon Instinct versus GeForce 30
• Successor: Not recorded versus GeForce 50
• Launch MSRP: Not recorded versus 599 USD
• Benchmark score: 317,994 versus none recorded
• Percentile: 100 versus 50
• Average benchmark score: 317,994 versus 0
• Nearest rivals: Four recorded for MI300X, none for RTX 4070 AD103

The Verdict

The recorded data positions these two GPUs in separate categories. The AMD Instinct MI300X is a 750 W, OAM-module accelerator with 192 GB of HBM3, no display outputs, no graphics API support, and a Geekbench OpenCL score of 317,994 that ranks at the 100th percentile of all GPUs in the database. It competes with the NVIDIA H200 NVL, B200, L40S, and RTX 6000 Ada Generation, all of which sit within roughly 11% of its score in either direction.

The NVIDIA GeForce RTX 4070 AD103 is a 200 W, dual-slot consumer graphics card with 12 GB of GDDR6X, full graphics API support, display outputs, RT cores, and tensor cores. It has no recorded benchmark scores, so its performance cannot be verified against the MI300X or any other GPU in the database. Its 50th percentile ranking reflects a database-wide position, not a measured result, and its average benchmark score is 0.

The data indicates that the MI300X is the appropriate choice for compute-intensive, data-center workloads where the 81.72 TFLOPS FP32 throughput, 5.32 TB/s memory bandwidth, and 192 GB capacity are relevant. The RTX 4070 AD103 is the appropriate choice for rendering, graphics, and consumer applications where its display outputs, graphics API support, and 158.4 GPixel/s pixel rate matter. No benchmark evidence exists in the database to suggest either card outperforms the other in a shared workload, because no shared workload was recorded. The selection between them should be driven by the workload type and the platform requirements, not by comparative benchmark results.