AMD FirePro S9300 X2 vs NVIDIA GeForce RTX 4070 Ti SUPER Comparison

The AMD FirePro S9300 X2 and NVIDIA GeForce RTX 4070 Ti SUPER occupy vastly different corners of the GPU landscape, separated by nearly eight years of architectural evolution. Benchmark data from the FACT PACK shows a decisive NVIDIA victory in every head-to-head test, yet the AMD card remains a fascinating relic of the compute era. The RTX 4070 Ti SUPER delivers a Geekbench OpenCL score of 199,267 against the FirePro’s 27,971, a staggering 86% advantage for NVIDIA. In Vulkan, the gap narrows but remains lopsided: NVIDIA scores 53,683 versus AMD’s 37,109, a 30.9% lead. These results frame a comparison defined by generational progress rather than direct competition.

Head-to-Head Benchmarks

The Geekbench OpenCL test is where the RTX 4070 Ti SUPER obliterates the FirePro S9300 X2. NVIDIA’s score of 199,267 is not just a win—it is a 86% margin over AMD’s 27,971. This delta reflects the sheer throughput advantage of Ada Lovelace, which packs 8,448 shading units compared to the FirePro’s 4,096. The NVIDIA card also leverages 44.10 TFLOPS of FP32 performance versus AMD’s 7.987 TFLOPS, a 5.5x raw compute advantage that OpenCL workloads clearly exploit. For context, the FirePro S9300 X2’s average benchmark score of 32,540 places it in the 77th percentile of all GPUs, while the RTX 4070 Ti SUPER’s average of 31,087 sits at the 76th percentile—nearly identical overall standing despite the massive individual test gap.

Vulkan results tell a more nuanced story. The RTX 4070 Ti SUPER wins with 53,683 against 37,109, a 30.9% lead. While still decisive, this smaller margin suggests the FirePro’s GCN 3.0 architecture is less handicapped in Vulkan than in OpenCL. The AMD card’s 4,096 shading units and 256 TMUs provide respectable throughput, and its 512.0 GB/s memory bandwidth from 4 GB of HBM on a 4096-bit bus helps feed the cores. Still, NVIDIA’s 66 RT cores and 264 tensor cores—features entirely absent from the FirePro—give it architectural advantages that show up even in non-ray-tracing workloads. The Vulkan delta indicates that AMD’s older design can hold its own in certain API scenarios, but the overall win count remains 2-0 in NVIDIA’s favor.

The nearestRivals data adds perspective. The FirePro S9300 X2’s closest competitor by average score is the NVIDIA T600 Mobile at 32,849, a -0.9% delta, followed by the AMD Radeon RX 590 GME at 32,601 (-0.2%). The RTX 4070 Ti SUPER, meanwhile, rivals the NVIDIA TITAN RTX at 31,676 (-1.9%) and the RTX PRO 4500 Blackwell at 31,532 (-1.4%). This places the two cards in similar performance brackets despite their disparate architectures, but the head-to-head benchmarks reveal that the RTX 4070 Ti SUPER’s strengths are concentrated in compute-heavy APIs where it dominates.

Architecture Differences

The foundational difference lies in process technology. AMD uses TSMC’s 28 nm node with the Capsaicin chip, packing 8,900 million transistors onto a 596 mm² die—a transistor density of 14.9M per mm². NVIDIA’s AD103 chip, built on TSMC’s 5 nm process, crams 45,900 million transistors into just 379 mm², achieving a density of 121.1M per mm². That is an 8.1x density improvement, enabling NVIDIA to fit over five times more transistors into a smaller physical footprint. The FirePro’s GCN 3.0 architecture, released in 2016, is a compute-first design with no dedicated ray tracing or tensor cores, while the Ada Lovelace architecture in the RTX 4070 Ti SUPER includes 66 RT cores and 264 tensor cores alongside its 8,448 shading units.

Memory configurations diverge sharply. The FirePro uses 4 GB of HBM on a 4096-bit bus, delivering 512.0 GB/s bandwidth at 500 MHz (1000 Mbps effective). The RTX 4070 Ti SUPER ships with 16 GB of GDDR6X on a 256-bit bus, achieving 672.3 GB/s at 1313 MHz (21 Gbps effective). NVIDIA’s narrower bus but faster memory yields 31% more bandwidth, and the 12 GB capacity advantage is critical for modern workloads. The FirePro’s pixel rate of 62.40 GPixel/s and texture rate of 249.6 GTexel/s are dwarfed by NVIDIA’s 250.6 GPixel/s and 689.0 GTexel/s—4x and 2.8x improvements, respectively.

API support marks another generational leap. The FirePro supports DirectX 12 (12_0), OpenGL 4.6, and Vulkan 1.2.170, while the RTX 4070 Ti SUPER supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. The NVIDIA card’s 12_2 feature level enables hardware ray tracing and mesh shaders, capabilities the AMD card lacks entirely. Power demands are similar—300 W TDP for AMD versus 285 W for NVIDIA—but the RTX 4070 Ti SUPER requires a single 16-pin connector and a 600 W PSU, while the FirePro needs two 8-pin connectors and a 700 W PSU. The NVIDIA card is also physically larger at 310 mm (12.2 inches) versus 267 mm (10.5 inches), and it includes display outputs (1x HDMI 2.1, 3x DisplayPort 1.4a) where the FirePro has none.

The Verdict

The data is unambiguous: the NVIDIA GeForce RTX 4070 Ti SUPER is the superior GPU by every measurable benchmark metric. Its 86% OpenCL lead and 30.9% Vulkan lead over the FirePro S9300 X2 are decisive, and its architectural advantages—5 nm process, 44.10 TFLOPS FP32, 16 GB GDDR6X, 66 RT cores—make it the only sensible choice for any modern workload. The FirePro’s 2016-era design, with its 28 nm node and 4 GB HBM, cannot compete in compute or graphics performance. However, the FirePro’s 77th percentile standing versus the RTX 4070 Ti SUPER’s 76th suggests both cards are mid-tier in the broader GPU ecosystem, which speaks to the FirePro’s remarkable efficiency relative to its age.

For legacy compute tasks that rely on OpenCL and don’t require modern API features, the FirePro S9300 X2 remains functional, but its 4 GB memory cap and lack of display outputs severely limit its utility. The RTX 4070 Ti SUPER, with its 16 GB memory, 672.3 GB/s bandwidth, and full feature set, is the clear pick for gamers, content creators, and AI researchers alike. The launch MSRP of 5,999 USD for the FirePro versus 799 USD for the RTX 4070 Ti SUPER further underscores the NVIDIA card’s overwhelming advantage—though pricing is noted only for factual context.

FAQ

Q: Which GPU has the higher Geekbench OpenCL score?

A: The NVIDIA GeForce RTX 4070 Ti SUPER scores 199,267, which is 86% higher than the AMD FirePro S9300 X2’s 27,971.

Q: How much VRAM does each card offer?

A: The AMD FirePro S9300 X2 has 4 GB of HBM memory, while the NVIDIA RTX 4070 Ti SUPER has 16 GB of GDDR6X.

Q: Do both cards support DirectX 12 Ultimate?

A: No. The RTX 4070 Ti SUPER supports DirectX 12 Ultimate (12_2), while the FirePro S9300 X2 only supports DirectX 12 (12_0).

Q: What is the transistor count difference?

A: The FirePro S9300 X2 has 8,900 million transistors on a 28 nm node, while the RTX 4070 Ti SUPER has 45,900 million transistors on a 5 nm node.

Q: Which card has a higher memory bandwidth?

A: The RTX 4070 Ti SUPER has 672.3 GB/s bandwidth, compared to the FirePro’s 512.0 GB/s.

Q: Are both cards end-of-life?

A: Yes, both the AMD FirePro S9300 X2 and NVIDIA GeForce RTX 4070 Ti SUPER are listed as end-of-life in the production status.

Where Each One Wins

The NVIDIA GeForce RTX 4070 Ti SUPER wins in every head-to-head benchmark category, making it the default choice for any application that demands raw performance. Its OpenCL score of 199,267 is 7.1x higher than the FirePro’s, making it ideal for compute-heavy tasks like machine learning inference, scientific simulation, and video encoding. The Vulkan score of 53,683 versus 37,109 shows it also excels in modern gaming APIs, and its 66 RT cores enable hardware ray tracing that the FirePro cannot perform at all. With 16 GB of GDDR6X memory, the RTX 4070 Ti SUPER handles large datasets and high-resolution textures without bottlenecking, and its 250.6 GPixel/s pixel rate ensures smooth 4K rendering.

The AMD FirePro S9300 X2 has no benchmark wins in this comparison, but its strengths lie in specific niches. Its 4096-bit memory bus and 512.0 GB/s bandwidth were high-end in 2016, and its 7.987 TFLOPS FP32 performance remains respectable for its era. The card’s 77th percentile standing, nearly identical to the RTX 4070 Ti SUPER’s 76th, indicates it still outperforms many modern lower-tier GPUs in aggregate. For legacy compute workloads that were optimized for GCN architecture, such as certain OpenCL-based scientific codes, the FirePro can still deliver usable performance—provided the 4 GB memory limit is acceptable. Its lack of display outputs makes it strictly a compute accelerator, not a desktop graphics card, but for headless server deployments in 2016-era infrastructure, it remains a functional if outdated option.