AMD Radeon Instinct MI300 vs Intel Arc G3 Comparison

The Verdict

The AMD Radeon Instinct MI300 and the Intel Arc G3 occupy entirely different corners of the GPU market, and the data confirms they are not direct competitors. The MI300 is a data center compute accelerator with a 600 W TDP, designed for massive parallel workloads, while the Arc G3 is an integrated graphics processor (IGP) with a 25 W TDP, built for power-constrained mobile devices.

The MI300 should be selected by anyone running large-scale compute tasks such as AI training, scientific simulation, or high-performance data processing. Its 47.87 TFLOPS FP32 throughput, 128 GB of HBM3 memory, and 6.55 TB/s bandwidth place it in a class of hardware intended for servers and workstations. The Arc G3, by contrast, suits portable devices that need basic graphics acceleration without a discrete GPU. Its 6.144 TFLOPS FP32 performance and system-shared memory indicate a chip meant for everyday visual output, not heavy compute.

The data shows a 25 W IGP with 1280 shading units versus a 600 W accelerator with 14080 shading units. The MI300 delivers roughly 7.8 times the FP32 throughput of the Arc G3. The MI300 also supports PCIe 5.0 x16 and requires two 8-pin power connectors, while the Arc G3 uses no external power connectors and connects via an integrated IGP bus. There is no scenario in the recorded data where these two products would be cross-shopped for the same task.

For users with a defined compute workload on a server platform, the MI300 is the only viable option. For users building or buying a thin-and-light laptop, the Arc G3 is the only realistic choice. The verdict is not about which is better, but which fits the intended use case.

Architecture Differences

The architectural split between these two GPUs is fundamental. The MI300 uses the CDNA 3.0 architecture, optimized specifically for compute and data center workloads. It employs the Aqua Vanjaram chip manufactured on a 5 nm process at TSMC. The die size is 1017 mm², and the transistor count reaches 153,000 million, yielding a transistor density of 150.4M per mm². The CDNA lineage prioritizes FP32 and FP16 throughput over graphics features, and the MI300 has no display outputs and a pixel rate of 0 MPixel/s.

The Arc G3 uses Intel's Xe3-LPG architecture, built on the Panther Lake chip. It is fabricated on a 3 nm process at Intel. The transistor count and die size are listed as unknown, reflecting its integrated nature. The Xe3-LPG architecture targets low-power graphics and media acceleration for mobile platforms. The Arc G3 has 10 ray tracing cores, something the MI300 lacks entirely. It also supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, while the MI300 lists no API support in the database.

The clock behavior also differs sharply. The MI300 runs at a base clock of 1000 MHz and a boost of 1700 MHz, with memory clocked at 1600 MHz or 6.4 Gbps effective. The Arc G3 has a base clock of just 300 MHz but boosts to 2400 MHz, a much wider dynamic range typical of power-managed integrated parts. The MI300's memory is dedicated HBM3 with an 8192-bit bus, while the Arc G3 uses system-shared memory with a system-dependent bandwidth.

The MI300's shading unit count is 14080 with 880 TMUs and 0 ROPs, which reflects a pure compute design. The Arc G3 has 1280 shading units, 40 TMUs, and 20 ROPs, giving it a full graphics pipeline. The MI300's texture rate is 1,496.0 GTexel/s versus 96.00 GTexel/s for the Arc G3. FP16 performance shows a similar gulf: 383.0 TFLOPS (8:1) for the MI300 versus 12.29 TFLOPS (2:1) for the Arc G3.

FAQ

Q: Which GPU has higher FP32 compute performance?

A: The AMD Radeon Instinct MI300 delivers 47.87 TFLOPS FP32, while the Intel Arc G3 delivers 6.144 TFLOPS. The MI300 is approximately 7.8 times faster in this metric.

Q: Does the Intel Arc G3 support ray tracing?

A: Yes. The Arc G3 has 10 ray tracing cores. The MI300 lists no ray tracing cores, consistent with its data center compute focus.

Q: What memory does each GPU use?

A: The MI300 uses 128 GB of dedicated HBM3 memory with an 8192-bit bus and 6.55 TB/s bandwidth. The Arc G3 uses system-shared memory with system-dependent bandwidth, meaning it borrows from the host system's main memory.

Q: What is the power requirement for each?

A: The MI300 has a TDP of 600 W and requires two 8-pin power connectors plus a 1000 W suggested PSU. The Arc G3 has a TDP of 25 W, uses no power connectors, and lists no PSU requirement.

Q: Can the MI300 output video to a display?

A: No. The MI300 lists "No outputs" as its display configuration. The Arc G3's display outputs are listed as "Portable Device Dependent," meaning they vary by the host laptop design.

Q: Which GPU is newer?

A: The Intel Arc G3 has a release date of 2026-05-31, while the AMD Radeon Instinct MI300 was released on 2023-01-03.

Specification Differences

The recorded specification differences between the two GPUs are extensive. The MI300 uses a 5 nm process at TSMC, while the Arc G3 uses a 3 nm process at Intel. The MI300 has 153,000 million transistors on a 1017 mm² die; the Arc G3's transistor count and die size are unknown. The MI300's base clock is 1000 MHz and boost is 1700 MHz, versus 300 MHz base and 2400 MHz boost for the Arc G3. Memory clock is 1600 MHz (6.4 Gbps effective) for the MI300, while the Arc G3 uses system-shared memory.

Memory capacity differs completely: 128 GB of HBM3 for the MI300 versus system-shared for the Arc G3. The bus width is 8192 bit versus system-shared, and bandwidth is 6.55 TB/s versus system-dependent. The MI300 has 14080 shading units, 880 TMUs, and 0 ROPs. The Arc G3 has 1280 shading units, 40 TMUs, and 20 ROPs. The MI300 has no ray tracing cores; the Arc G3 has 10. Pixel rate is 0 MPixel/s for the MI300 and 48.00 GPixel/s for the Arc G3. Texture rate is 1,496.0 GTexel/s versus 96.00 GTexel/s.

FP32 is 47.87 TFLOPS versus 6.144 TFLOPS. FP16 is 383.0 TFLOPS (8:1) versus 12.29 TFLOPS (2:1). TDP is 600 W versus 25 W. The MI300 uses 2x 8-pin power connectors and a 1000 W suggested PSU; the Arc G3 uses none. The MI300's bus interface is PCIe 5.0 x16, while the Arc G3 is an IGP. Display outputs are "No outputs" for the MI300 and "Portable Device Dependent" for the Arc G3. API support is null for the MI300; the Arc G3 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The MI300 measures 267 mm in length and 111 mm in height; the Arc G3 has no listed dimensions.

Head-to-Head Benchmarks

The head-to-head benchmark list is empty, and both GPUs have an average benchmark score of 0 with equal percentile rankings of 50. The database records no direct performance measurements comparing these two products. This absence itself is informative: the two GPUs are so far apart in purpose that no standard benchmark suite has paired them.

However, the recorded specification data provides a basis for comparison. The MI300's FP32 throughput of 47.87 TFLOPS is 41.73 TFLOPS higher than the Arc G3's 6.144 TFLOPS. In texture rate, the MI300's 1,496.0 GTexel/s exceeds the Arc G3's 96.00 GTexel/s by a factor of roughly 15.6. In FP16, the MI300's 383.0 TFLOPS is about 31 times the Arc G3's 12.29 TFLOPS.

The Arc G3 counters in pixel rate, where its 48.00 GPixel/s far exceeds the MI300's 0 MPixel/s. This is expected, as the MI300 has no ROPs and is not designed to rasterize graphics. The Arc G3 also wins on boost clock, reaching 2400 MHz versus 1700 MHz, and on process node, using 3 nm versus 5 nm. The Arc G3's 20 ROPs and 10 ray tracing cores give it capabilities the MI300 does not offer at all.

The TDP difference is stark: 600 W versus 25 W, a 24x gap. The MI300's power draw enables its massive compute resources, but the Arc G3's efficiency profile suits mobile integration. The MI300's 8192-bit memory bus versus the Arc G3's system-shared bus highlights the gulf in memory architecture. The MI300's 6.55 TB/s bandwidth is a figure no integrated GPU could approach.

Where Each One Wins

The MI300 wins decisively in every compute-heavy category. Its 47.87 TFLOPS FP32 and 383.0 TFLOPS FP16 make it suitable for AI training, scientific computing, and large-scale data processing. The 128 GB HBM3 memory with 6.55 TB/s bandwidth supports massive datasets that would never fit in system-shared memory. The 14080 shading units and 880 TMUs provide raw throughput for parallel workloads. The PCIe 5.0 x16 interface allows high-speed host communication. The 600 W TDP and 1000 W suggested PSU reflect a design intended for server racks with ample power delivery. The MI300's 1017 mm² die and 153,000 million transistors show a chip built without cost constraints for maximum compute density.

The Arc G3 wins in portability, efficiency, and graphics features. Its 25 W TDP allows integration into laptops without dedicated cooling or power connectors. The 3 nm process node gives it a modern manufacturing advantage. The 2400 MHz boost clock demonstrates aggressive power management. The 20 ROPs and 48.00 GPixel/s pixel rate enable actual display output, which the MI300 cannot do. The 10 ray tracing cores and full DirectX 12 Ultimate support make it capable of modern gaming and media workloads. The system-shared memory model eliminates the need for dedicated VRAM, reducing cost and complexity in mobile devices. The Arc G3's API support for OpenGL 4.6 and Vulkan 1.4 provides broad software compatibility, while the MI300 lists no APIs.

The production status also differs: the Arc G3 is marked as Active, while the MI300 has no listed production status. The Arc G3's release date of 2026-05-31 makes it the newer product. The MI300's predecessor is the FirePro Data Center, while the Arc G3 has no predecessor listed. The MI300's slot width is null, while the Arc G3 is an IGP. The MI300 measures 267 mm long and 111 mm tall, typical of a discrete accelerator; the Arc G3 has no physical dimensions because it is soldered to a motherboard.

The use case split is clean. The MI300 belongs in servers where maximum FP32 and FP16 throughput, huge memory capacity, and extreme bandwidth are non-negotiable. The Arc G3 belongs in portable devices where low power, integrated graphics, and modern API support matter more than raw compute. The data shows no overlap in their intended operating environments.