AMD Instinct MI300X vs NVIDIA GeForce RTX 5070 Mobile Comparison

Head-to-Head Benchmarks

The recorded benchmark data shows a single common test between these two accelerators, and the result is decisive. In Geekbench OpenCL, the AMD Instinct MI300X scores 317994, while the NVIDIA GeForce RTX 5070 Mobile scores 122238. This gives the AMD part a 160.1% advantage, a gap that dwarfs typical generational improvements seen elsewhere in the database.

Context from the nearest rival lists reinforces how wide this chasm is. The MI300X sits 8% below the NVIDIA B200 (345482) and 5% below the NVIDIA H200 NVL (334891), but it beats the NVIDIA L40S (295763) by 7.5% and the RTX 6000 Ada Generation (287237) by 10.7%. The RTX 5070 Mobile, by contrast, lands within a whisker of the RTX 3070 Ti (29945, delta -0.1%), the RTX 2080 Ti (29783, delta +0.5%), the RX 6800 (30095, delta -0.6%), and the RX 6700 (30433, delta -1.7%). In other words, the mobile chip trades blows with hardware from two generations ago, while the Instinct part competes at the top of the absolute performance hierarchy.

The percentile rankings tell the same story. The MI300X records a percentileVsAllGpus of 100, meaning it outperforms every other GPU in the database's aggregate rankings. The RTX 5070 Mobile sits at 75, a solid position for a laptop part but nowhere near the summit. Its average benchmark score of 29928 is roughly one-tenth of the MI300X's 317994.

Architecture Differences

The two chips are built on the same 5 nm TSMC process, but they could hardly be more different under the hood. The MI300X uses the CDNA 3.0 architecture with the Aqua Vanjaram chip, while the RTX 5070 Mobile uses Blackwell 2.0 with the GB206 die. The Instinct part is a compute accelerator with no display outputs, no DirectX, OpenGL, or Vulkan support, and no RT cores. The GeForce part is a full graphics processor with DirectX 12 Ultimate (12_2), OpenGL 4.6, Vulkan 1.4, 36 RT cores, and 144 tensor cores.

Transistor budgets diverge massively. The MI300X packs 153,000 million transistors on a 1017 mm² die, yielding a density of 150.4M per mm². The RTX 5070 Mobile uses 21,900 million transistors on a 181 mm² die, a density of 121.0M per mm². The Instinct chip is a monolithic giant built for server racks; the GeForce chip is a compact mobile part.

Memory technology separates them further. The MI300X carries 192 GB of HBM3 across an 8192-bit bus, delivering 5.32 TB/s of bandwidth. The RTX 5070 Mobile has 8 GB of GDDR7 on a 128-bit bus, with 384.0 GB/s. That is a 13.9x difference in memory capacity and a 13.9x difference in bandwidth, both favoring the accelerator. Clock speeds tell a different story: the MI300X runs at a 1000 MHz base and 2100 MHz boost, while the RTX 5070 Mobile uses a 907 MHz base and 1425 MHz boost. The memory clocks also differ, with the Instinct part at 1300 MHz (5.2 Gbps effective) and the mobile part at 1500 MHz (24 Gbps effective).

Shading resources are similarly lopsided. The MI300X has 19456 shading units and 1216 TMUs, but zero ROPs and a pixel rate of 0 MPixel/s. The RTX 5070 Mobile has 4608 shading units, 144 TMUs, 48 ROPs, and a 68.40 GPixel/s pixel rate. The texture rates are 2,553.6 GTexel/s for the Instinct part versus 205.2 GTexel/s for the mobile part. FP32 throughput is 81.72 TFLOPS versus 13.13 TFLOPS, a 6.2x gap, with both chips offering FP16 at a 1:1 ratio.

Where Each One Wins

The MI300X wins overwhelmingly in raw compute throughput. Its FP32 output of 81.72 TFLOPS, combined with 5.32 TB/s of memory bandwidth and 192 GB of capacity, makes it suited for large-scale training and inference workloads where the entire model must reside in fast memory. The 100th percentile ranking indicates no other GPU in the database averages higher scores across the benchmark suite. The lack of display outputs and graphics APIs confirms this is a backend compute device, not a workstation or gaming part.

The RTX 5070 Mobile wins in every category that requires graphics output. It has 48 ROPs, a 68.40 GPixel/s pixel rate, and full support for modern graphics APIs, including DirectX 12 Ultimate and Vulkan 1.4. Its 36 RT cores provide hardware ray tracing, and its 144 tensor cores handle AI acceleration. The chip enables portable devices with display outputs dependent on the laptop design. The PassMark scores show balanced capabilities: 214 in DirectX 9, 192 in DirectX 11, 129 in DirectX 10, 93 in DirectX 12, 896 in G2D, 20355 in G3D, and 8279 in GPU compute. The MI300X has no equivalent entries because it cannot run these tests.

The MI300X offers a 160.1% lead in the only shared benchmark, Geekbench OpenCL. That single metric captures the fundamental purpose of each device: one is built to crush compute workloads, the other to render frames and run client-side AI within a laptop power envelope.

Specification Differences

The two parts differ in nearly every measurable specification. Process node is identical at 5 nm TSMC, and both use PCIe 5.0 x16, but the similarities end there.

The MI300X uses the CDNA 3.0 architecture and Aqua Vanjaram chip, while the RTX 5070 Mobile uses Blackwell 2.0 and GB206. The Instinct part has 153,000 million transistors on a 1017 mm² die; the GeForce part has 21,900 million on 181 mm². Transistor density is 150.4M per mm² versus 121.0M per mm².

Clock speeds: 1000 MHz base and 2100 MHz boost for the MI300X, 907 MHz base and 1425 MHz boost for the RTX 5070 Mobile. Memory clocks are 1300 MHz (5.2 Gbps effective) versus 1500 MHz (24 Gbps effective).

Memory: 192 GB HBM3 on an 8192-bit bus with 5.32 TB/s bandwidth versus 8 GB GDDR7 on a 128-bit bus with 384.0 GB/s.

Compute units: 19456 shading units, 1216 TMUs, 0 ROPs versus 4608 shading units, 144 TMUs, 48 ROPs. The MI300X has no RT or tensor cores listed; the RTX 5070 Mobile has 36 RT cores and 144 tensor cores.

Pixel rate: 0 MPixel/s versus 68.40 GPixel/s. Texture rate: 2,553.6 GTexel/s versus 205.2 GTexel/s. FP32: 81.72 TFLOPS versus 13.13 TFLOPS. FP16 is 81.72 TFLOPS (1:1) for both, though the architectures differ.

Thermal and physical traits: the MI300X is rated at 750 W with a suggested PSU of 1150 W and an OAM Module slot width. The RTX 5070 Mobile is rated at 50 W, uses an IGP slot width, and has no suggested PSU listed. Both have no power connectors, with the mobile part drawing from the laptop platform.

APIs: the MI300X lists N/A for DirectX, OpenGL, and Vulkan. The RTX 5070 Mobile lists DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4.

Display outputs: none for the MI300X, portable-device-dependent for the RTX 5070 Mobile.

Release dates: the MI300X launched on 2023-12-05, the RTX 5070 Mobile on 2025-04-14. The production status for the MI300X is not listed, while the RTX 5070 Mobile is marked Active. The MI300X's predecessor is Radeon Instinct; the RTX 5070 Mobile's predecessor is GeForce 40 Mobile.

FAQ

Q: Which GPU is faster in OpenCL?

A: The AMD Instinct MI300X scores 317994 versus 122238 for the NVIDIA GeForce RTX 5070 Mobile, a 160.1% advantage.

Q: How does each compare to its nearest rivals?

A: The MI300X is 8% behind the B200, 5% behind the H200 NVL, 7.5% ahead of the L40S, and 10.7% ahead of the RTX 6000 Ada. The RTX 5070 Mobile is 0.1% behind the RTX 3070 Ti, 0.5% ahead of the RTX 2080 Ti, 0.6% behind the RX 6800, and 1.7% behind the RX 6700.

Q: What memory configurations do they use?

A: The MI300X uses 192 GB of HBM3 on an 8192-bit bus with 5.32 TB/s bandwidth. The RTX 5070 Mobile uses 8 GB of GDDR7 on a 128-bit bus with 384.0 GB/s.

Q: Can the MI300X render graphics?

A: No. It has no display outputs, no ROPs, a 0 MPixel/s pixel rate, and no DirectX, OpenGL, or Vulkan support.

Q: What is the power draw of each?

A: The MI300X is rated at 750 W with a suggested PSU of 1150 W. The RTX 5070 Mobile is rated at 50 W.

Q: Which has better API support for gaming?

A: The RTX 5070 Mobile, with DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI300X lists N/A for all three.

The Verdict

The data separates these two clearly by intended role. The AMD Instinct MI300X is a compute accelerator with a 100th percentile ranking, 192 GB of HBM3, 5.32 TB/s bandwidth, and 81.72 TFLOPS of FP32. It is 160.1% ahead of the RTX 5070 Mobile in OpenCL and sits within striking distance of the B200 and H200 NVL. It cannot output video, run graphics APIs, or fit in anything other than an OAM module slot. Anyone needing maximum compute density for large models should look here.

The NVIDIA GeForce RTX 5070 Mobile is a portable graphics processor. It delivers modern API support, 48 ROPs, 36 RT cores, 144 tensor cores, and a 68.40 GPixel/s pixel rate within a 50 W envelope. Its performance brackets the RTX 3070 Ti, RTX 2080 Ti, RX 6800, and RX 6700, making it a mid-range mobile part that trades blows with older desktop flagships. It cannot approach the MI300X's compute or memory capacity, but it can render frames and run on battery power.

Choosing between them is not a performance question but a form-factor question. The MI300X wins every compute metric that matters for servers, and the RTX 5070 Mobile wins every graphics metric that matters for laptops. The benchmark record contains exactly one overlapping test, and it favors the Instinct part by a factor of 2.6. That is the whole story in a single number.