AMD FirePro D700 vs AMD Radeon RX 7800M Comparison

The AMD Radeon RX 7800M and the AMD FirePro D700 represent two distinct eras of GPU design, separated by a decade of architectural evolution. The data reveals a generational chasm in raw compute capability, but the FirePro D700's legacy workstation features and unique specifications tell a more nuanced story than a simple score comparison. This analysis explores the benchmark results, architectural shifts, and the specific contexts where each card still holds relevance.

Head-to-Head Benchmarks

The direct comparison in the FACT PACK is stark and one-sided. In the Geekbench OpenCL test, the RX 7800M scores 120,778, while the FirePro D700 manages only 23,716. This translates to a deltaPct of 409.3% in favor of the newer card. The result is not a marginal improvement; it is a four-fold increase in compute throughput, reflecting the massive leap in shader count and clock speeds between generations.

The Vulkan benchmark tells a similar story, albeit with a slightly smaller margin. The RX 7800M posts 126,668 against the FirePro D700's 27,968, yielding a deltaPct of 352.9%. While Vulkan is a modern API that the older GCN architecture supports, the RX 7800M's RDNA 3.0 design is clearly optimized for it, leveraging its 3,840 shading units against the D700's 2,048. The wins tally is 2-0 for the RX 7800M, with no benchmark in the pack where the FirePro D700 comes out ahead.

These scores place the RX 7800M in the 73rd percentile of all GPUs, with an average benchmark score of 27,883. Its nearest rival, the AMD Radeon Pro Vega 20, is a near-exact match with an average score of 27,839 (a deltaPct of just 0.2%). In contrast, the FirePro D700 sits in the 71st percentile with an average score of 25,842, and its closest competitor is the AMD FirePro W7100 at 25,856 (a -0.1% deltaPct). The data suggests that while both cards are in similar overall percentile territory, the RX 7800M's compute advantage is primarily concentrated in API-specific workloads like OpenCL and Vulkan, rather than a broad-spectrum dominance.

FAQ

Q: How much faster is the RX 7800M in OpenCL compute workloads?

A: The RX 7800M scores 120,778 in Geekbench OpenCL, which is 409.3% higher than the FirePro D700's 23,716. This indicates a roughly five-fold performance advantage in GPGPU tasks that rely on this API.

Q: Does the FirePro D700 win any benchmark in the comparison?

A: No. In the head-to-head data provided, the FirePro D700 records zero wins. The RX 7800M wins both the Geekbench OpenCL and Geekbench Vulkan tests by substantial margins.

Q: What is the average benchmark score difference between the two cards?

A: The RX 7800M has an average benchmark score of 27,883, while the FirePro D700 averages 25,842. This places the newer card roughly 2,000 points higher, though the RX 7800M's lead is much more pronounced in specific tests than in this aggregate metric.

Q: How do these cards compare to their immediate rivals?

A: The RX 7800M is nearly tied with the AMD Radeon Pro Vega 20, which scores 27,839 (a 0.2% deltaPct). The FirePro D700 is similarly close to the AMD FirePro W7100, which scores 25,856 (a -0.1% deltaPct). Both cards are competitive within their respective performance tiers.

Q: Which card supports the newer version of Vulkan?

A: The RX 7800M supports Vulkan 1.4, while the FirePro D700 is limited to Vulkan 1.2.170. This API generation gap is one reason for the RX 7800M's superior Vulkan benchmark score of 126,668 versus 27,968.

The Verdict

The data is unambiguous for users prioritizing raw performance: the AMD Radeon RX 7800M is the superior choice. Its OpenCL score is 409.3% higher and its Vulkan score is 352.9% higher than the FirePro D700. For any compute-intensive task, whether it is rendering, simulation, or modern game development, the RX 7800M offers a transformative performance uplift. Its 12 GB of GDDR6 memory and 432.0 GB/s bandwidth further solidify its position as a more capable modern workhorse.

However, the FirePro D700 is not without a niche. Its 6 GB of GDDR5 memory on a 384-bit bus (263.0 GB/s) and 32 ROPs, while dated, still support a specific legacy use case. The card's 6x mini-DisplayPort outputs and 1x SDI connection are a unique feature set not present on the RX 7800M, which has "Portable Device Dependent" outputs. For a system requiring multiple simultaneous display outputs or SDI video routing, the D700's hardware configuration is unmatched by the mobile-oriented RX 7800M. The verdict hinges on the workload: choose the RX 7800M for compute power and modern API support; choose the FirePro D700 only for specialized display and SDI workflows where its I/O is indispensable.

Specification Differences

The two cards differ in nearly every fundamental specification. The RX 7800M uses 12 GB of GDDR6 memory on a 192-bit bus, delivering 432.0 GB/s of bandwidth. The FirePro D700 uses 6 GB of GDDR5 on a wider 384-bit bus, but achieves only 263.0 GB/s. The RX 7800M has 3,840 shading units, 240 TMUs, and 96 ROPs, while the D700 has 2,048 shading units, 128 TMUs, and just 32 ROPs. Pixel rate is 224.2 GPixel/s for the RX 7800M versus 27.20 GPixel/s for the D700, and texture rate is 560.4 GTexel/s versus 108.8 GTexel/s. The FP32 compute is 35.87 TFLOPS for the RX 7800M, dwarfing the D700's 3.482 TFLOPS. The RX 7800M has a 180 W TDP and is an IGP (integrated graphics processor), while the D700 is a dual-slot card with a 274 W TDP and a suggested PSU of 600 W. The RX 7800M uses a PCIe 4.0 x16 interface, while the D700 is limited to PCIe 3.0 x16. The RX 7800M supports DirectX 12 Ultimate (12_2), while the D700 only supports DirectX 12 (11_1).

Architecture Differences

The architectural gulf is the root cause of the performance disparity. The RX 7800M is built on the Navi 32 chip using the RDNA 3.0 architecture, fabricated on a 5 nm process at TSMC. This node packs 28,100 million transistors into a 346 mm² die, achieving a transistor density of 81.2M / mm². It also features 60 dedicated RT cores for hardware ray tracing. The FirePro D700, in contrast, uses the Tahiti chip with the GCN 1.0 architecture, built on a 28 nm process. This older node contains only 4,313 million transistors on a slightly larger 352 mm² die, resulting in a density of just 12.3M / mm². The D700 has no RT cores. The RX 7800M's clocks are significantly higher, with a base of 1295 MHz and a boost of 2335 MHz, while the D700's clock data is not listed. The RX 7800M's FP16 performance matches its FP32 at 35.87 TFLOPS, whereas the D700 has no FP16 data. The RX 7800M is from the Navi Mobile (RX 7000M) generation and is classified as "Active" production, while the D700 is "End-of-life" from the FirePro Data Center (Dx00) series. The RX 7800M's predecessor is Polaris Mobile, and the D700's successor is Radeon Instinct.

Where Each One Wins

The RX 7800M wins decisively in any compute-bound scenario. Its 409.3% lead in OpenCL makes it ideal for GPU-accelerated rendering, scientific simulation, and machine learning inference tasks that leverage this API. Its 352.9% Vulkan advantage points to strong performance in modern game engines and cross-platform graphics workloads. The higher pixel rate and texture rate also make it a clear winner for high-resolution gaming and real-time 3D visualization. The RX 7800M's 12 GB VRAM is better suited for larger datasets and higher-resolution textures.

The FirePro D700 wins in one specific domain: display output flexibility. Its 6x mini-DisplayPort 1.2 and 1x SDI outputs are a hardware feature that the RX 7800M simply does not offer. For a video wall, broadcast monitoring, or a multi-screen workstation setup that requires more than a couple of outputs, the D700's I/O configuration is a practical advantage. Its 384-bit memory bus, while slower in bandwidth, provides a wider path that may be beneficial in certain legacy memory-bound workloads. The D700 also has a lower transistor density, which typically means lower manufacturing complexity, though this is not a user-facing benefit. For the vast majority of users, the RX 7800M's sheer computational superiority makes it the only logical choice, but the D700's niche I/O capabilities ensure it remains relevant in specialized professional environments.