AMD Instinct MI300 vs NVIDIA GeForce RTX 4070 Ti Comparison

Where Each One Wins

The recorded data splits these two accelerators cleanly by workload type, and that split is not subtle. The AMD Instinct MI300 is a data center compute card with no display outputs, no graphics API support, and a zero pixel rate. It exists to push numbers through FP32 and FP16 pipelines. The NVIDIA GeForce RTX 4070 Ti is a consumer graphics card with full DirectX 12 Ultimate, OpenGL 4.6, and Vulkan 1.4 support, plus ray tracing cores and tensor cores. The database shows zero benchmark wins for the MI300 because it has no recorded benchmark scores at all, while the RTX 4070 Ti has ten recorded test results spanning DirectX 9 through DirectX 12, OpenCL, Vulkan, and compute workloads.

The use-case split is therefore absolute. The MI300 wins in any scenario that demands massive memory capacity and bandwidth: 128 GB of HBM3 on an 8192-bit bus delivering 5.32 TB/s. The RTX 4070 Ti cannot approach that memory subsystem, but it wins in every graphics-oriented task, every ray-traced workload, and every consumer API test, because those workloads do not exist on the MI300. Benchmark results indicate the RTX 4070 Ti delivers 31624 in Passmark G3D, 213808 in Geekbench Vulkan, and 176953 in Geekbench OpenCL. The MI300 has no comparable figures in the database, and its percentile rank of 50 against all GPUs reflects the absence of measured performance data rather than a competitive position.

Architecture Differences

The two chips share a foundry and process node: both are TSMC 5 nm. That is where the commonality ends. The MI300 uses the CDNA 3.0 architecture on a chip called Aqua Vanjaram, built for the Instinct (MIx) generation. It packs 153,000 million transistors onto a 1017 mm² die, yielding a transistor density of 150.4M per mm². The RTX 4070 Ti uses Ada Lovelace on the AD104 chip, with 35,800 million transistors on a 294 mm² die, a density of 121.8M per mm². The MI300 is a physically enormous part, more than three times the die area of the RTX 4070 Ti, and it uses that area for compute resources rather than graphics machinery.

The shading unit counts tell the story. The MI300 has 14,080 shading units and 880 texture mapping units, but zero ROPs. The RTX 4070 Ti has 7,680 shading units, 240 TMUs, and 80 ROPs. The MI300 also carries no ray tracing cores and no tensor cores in the recorded data, while the RTX 4070 Ti has 60 RT cores and 240 tensor cores. The MI300's texture rate is 1,496.0 GTexel/s versus 626.4 GTexel/s for the RTX 4070 Ti, but its pixel rate is literally 0 MPixel/s. That combination confirms the MI300 is a pure compute accelerator. The RTX 4070 Ti is a rasterizer and ray tracer first, with compute capabilities as a secondary role.

Clock behavior differs sharply. The MI300 runs a 1000 MHz base and 1700 MHz boost, while the RTX 4070 Ti runs 2310 MHz base and 2610 MHz boost. The NVIDIA part is substantially higher clocked, which helps explain how it reaches 208.8 GPixel/s and 40.09 TFLOPS FP32 from a smaller chip. The MI300 reaches 47.87 TFLOPS FP32 and the same 47.87 TFLOPS FP16 at a 1:1 ratio, so its advantage comes from sheer width, not frequency. The RTX 4070 Ti also lists 40.09 TFLOPS FP16 at 1:1, so both parts treat FP16 as a direct scaling of FP32 rather than a boosted mode.

Head-to-Head Benchmarks

There are no recorded head-to-head benchmark entries in the database for these two products. The MI300 has an empty benchmark array, a 0 average score, and no nearest rivals. The RTX 4070 Ti has a full benchmark suite and an average score of 44,795. That places it at the 84th percentile of all GPUs in the database, with nearest rivals including the NVIDIA GeForce RTX 5090 Mobile at 45,152 (0.8% higher), the AMD Radeon Pro 5500 XT at 45,384 (1.3% higher), the NVIDIA RTX A6000 at 44,075 (1.6% lower), and the Intel Arc A730M at 45,592 (1.7% higher). The RTX 4070 Ti sits in a tight cluster where the four closest competitors span a range of only about 3.4 percentage points.

Within its own benchmark list, the RTX 4070 Ti shows a clear strength profile. Its Passmark G3D score of 31,624 is the headline graphics result, and Passmark GPU Compute comes in at 18,396. Geekbench Vulkan at 213,808 beats Geekbench OpenCL at 176,953 by roughly 21%, which indicates the driver and hardware handle Vulkan particularly well. The older DirectX tests show expected scaling: Passmark DirectX 9 scores 352, DirectX 11 scores 288, DirectX 10 scores 187, and DirectX 12 scores 116. The 3DMark Steel Nomad DX12 result is 5,024. The Passmark G2D score of 1,200 is a desktop composition metric, and the MI300 cannot participate in that class of test at all because it has no display outputs.

The FP32 comparison is the only direct compute metric both parts share. The MI300 delivers 47.87 TFLOPS, which is 19.4% higher than the RTX 4070 Ti's 40.09 TFLOPS. The texture rate comparison is even more lopsided: 1,496.0 GTexel/s versus 626.4 GTexel/s, a 2.39x advantage for the MI300. Memory bandwidth is the largest gap of all. The MI300's 5.32 TB/s is 10.6x the RTX 4070 Ti's 504.2 GB/s. Those are the numbers that matter for large-scale compute, and they all favor the AMD part.

Specification Differences

The two cards differ across nearly every measurable specification. The MI300 uses HBM3 memory with 128 GB capacity on an 8192-bit bus. The RTX 4070 Ti uses GDDR6X with 12 GB on a 192-bit bus. Memory bandwidth is 5.32 TB/s versus 504.2 GB/s. The MI300's memory clock is listed as 1300 MHz with 5.2 Gbps effective, while the RTX 4070 Ti runs 1313 MHz with 21 Gbps effective. The effective data rate on the NVIDIA memory is much higher per pin, but the AMD part wins through its enormous bus width.

Power and physical requirements diverge heavily. The MI300 has a 600 W TDP and requires a 1000 W suggested PSU with two 8-pin connectors. The RTX 4070 Ti has a 285 W TDP, a 600 W suggested PSU, and a single 16-pin connector. The MI300 is 267 mm long and 111 mm tall, while the RTX 4070 Ti is 285 mm long, 112 mm tall, and 42 mm thick in a dual-slot format. The MI300 lists no slot width. The bus interface differs as well: the MI300 uses PCIe 5.0 x16, the RTX 4070 Ti uses PCIe 4.0 x16.

Display and API support are mutually exclusive. The MI300 has no display outputs and no DirectX, OpenGL, or Vulkan support. The RTX 4070 Ti has 1x HDMI 2.1 and 3x DisplayPort 1.4a outputs, with DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI300's ROP count is zero, its pixel rate is zero, and its production status is not recorded. The RTX 4070 Ti is marked end-of-life, with a predecessor of GeForce 30 and successor of GeForce 50. The MI300's predecessor is Radeon Instinct. The RTX 4070 Ti has a launch MSRP of 799 USD, stated once here. Release dates are one day apart: the MI300 on January 3, 2023 and the RTX 4070 Ti on January 2, 2023.

FAQ

Q: Which card has more FP32 compute power?

A: The AMD Instinct MI300 delivers 47.87 TFLOPS FP32, which is 19.4% higher than the RTX 4070 Ti's 40.09 TFLOPS. Both parts list the same FP16 figure as their FP32 figure, indicating a 1:1 ratio.

Q: Can the MI300 run games?

A: No. The database lists no DirectX, OpenGL, or Vulkan support for the MI300, no display outputs, and a 0 MPixel/s pixel rate. The RTX 4070 Ti supports DirectX 12 Ultimate, OpenGL 4.6, Vulkan 1.4, and has HDMI and DisplayPort outputs.

Q: How does memory capacity compare?

A: The MI300 has 128 GB of HBM3 on an 8192-bit bus with 5.32 TB/s bandwidth. The RTX 4070 Ti has 12 GB of GDDR6X on a 192-bit bus with 504.2 GB/s bandwidth. The MI300's bandwidth advantage is roughly 10.6x.

Q: What is the RTX 4070 Ti's average benchmark score and percentile?

A: The RTX 4070 Ti has an average benchmark score of 44,795 and sits at the 84th percentile of all GPUs in the database. Its closest rival, the NVIDIA GeForce RTX 5090 Mobile, scores 45,152, which is 0.8% higher.

Q: Which card requires more power?

A: The MI300 has a 600 W TDP and a suggested PSU of 1000 W with two 8-pin connectors. The RTX 4070 Ti has a 285 W TDP and a suggested PSU of 600 W with one 16-pin connector.

Q: Do the two cards share any production details?

A: Both are built by TSMC on a 5 nm process. The MI300 uses 153,000 million transistors on a 1017 mm² die, while the RTX 4070 Ti uses 35,800 million transistors on a 294 mm² die. The RTX 4070 Ti is marked end-of-life; the MI300's production status is not recorded.

The Verdict

The data supports a decisive split. The AMD Instinct MI300 is the choice for compute workloads that need massive memory capacity, enormous bandwidth, and raw FP32 throughput. Its 128 GB HBM3 pool, 5.32 TB/s bandwidth, and 47.87 TFLOPS FP32 are class-leading figures, and its 1,496.0 GTexel/s texture rate shows the scale of its internal execution resources. The absence of display outputs and graphics API support means it is useless for conventional desktop or gaming use, but that is not its purpose. The 600 W TDP and 1000 W suggested PSU are the cost of that capability.

The NVIDIA GeForce RTX 4070 Ti is the choice for anyone who needs an actual graphics card. Its 84th percentile ranking and 44,795 average score come from a complete benchmark suite spanning graphics, compute, and API-specific tests. It delivers 31624 in Passmark G3D, 213808 in Geekbench Vulkan, and full DirectX 12 Ultimate support with 60 RT cores and 240 tensor cores. It is 19.4% behind the MI300 in FP32 and 10.6x behind in memory bandwidth, but it produces 208.8 GPixel/s where the MI300 produces zero. It also does so at 285 W TDP versus 600 W, in a dual-slot consumer format with display outputs.

There is no genuine overlap between these products. The MI300 is a server accelerator with no graphics path. The RTX 4070 Ti is a consumer GPU with a compute path. The recorded data shows the MI300 would win any memory-bound or FP32-bound compute task, while the RTX 4070 Ti wins every graphics task by default because the MI300 cannot execute them. The RTX 4070 Ti's nearest rivals in the database, all within 1.7% of its average score, show it competes in a tight consumer and workstation field. The MI300 has no recorded rivals at all. The correct pick depends entirely on whether the workload involves rendering frames or feeding a compute pipeline.