AMD Radeon PRO W7800 vs NVIDIA RTX 5000 Ada Generation Comparison

NVIDIA’s RTX 5000 Ada Generation and AMD’s Radeon PRO W7800 are both 32 GB workstation flagships aimed at professional visualization and compute, but benchmark data shows a clear performance hierarchy. The RTX 5000 Ada leads in both available cross-platform tests, with its average benchmark score of 184,664 placing it in the 98th percentile of all GPUs, while the W7800’s average of 164,894 sits at the 97th percentile. That 19,770-point gap in average scores translates to consistent wins for NVIDIA in synthetic workloads, though the AMD card remains a formidable competitor given its lower transistor count and different architectural approach.

Head-to-Head Benchmarks

The two Geekbench tests included in the data paint a straightforward picture: NVIDIA wins both, but the margins are meaningful and consistent. In Geekbench OpenCL, the RTX 5000 Ada scores 175,286 against the W7800’s 154,366, a 13.6% advantage. That is a substantial lead for a compute-oriented API, indicating that NVIDIA’s Ada Lovelace architecture extracts more raw throughput from its shader array in OpenCL workloads. The Vulkan result tells a similar story: NVIDIA scores 194,041 versus AMD’s 175,422, a 10.6% delta. While the percentage gap narrows slightly under Vulkan, the absolute difference of 18,619 points remains significant.

Context from the nearest rivals reinforces NVIDIA’s standing. The RTX 5000 Ada’s average score of 184,664 is just 0.5% ahead of the A100 SXM4 80 GB (183,725) and 1.4% ahead of the RTX PRO 5000 Blackwell (182,109). It also beats the GeForce RTX 4090 D (178,050) by 3.7%. The W7800, by contrast, sits in a lower tier: its average of 164,894 is 0.2% behind the RTX A5500 (165,217) and 0.7% behind the RTX 4500 Ada Generation (166,094). It edges out the A100 PCIe 40 GB (162,504) by 1.5% but trails the Radeon Pro W6900X (168,574) by 2.2%. In short, the RTX 5000 Ada competes with top-tier accelerators, while the W7800 trades blows with mid-range workstation cards.

The head-to-head deltas are also worth parsing by API. The OpenCL gap of 13.6% suggests AMD’s RDNA 3.0 architecture loses more ground in compute-heavy, driver-optimized OpenCL paths. The Vulkan delta of 10.6% indicates the gap persists even in a lower-level API where AMD typically performs relatively better. Neither test shows AMD winning, and the data offers no countervailing benchmark where the W7800 takes the lead to offset these losses.

Architecture Differences

The underlying silicon tells a story of divergent design philosophies. NVIDIA’s AD102 chip is built on a 5 nm TSMC process with 76,300 million transistors across a 609 mm² die, yielding a density of 125.3 million transistors per mm². AMD’s Navi 31, also on TSMC 5 nm, packs 57,700 million transistors into a 529 mm² die for a density of 109.1 million per mm². That gives NVIDIA a 32% transistor count advantage and a 15% density edge, which helps explain its higher compute throughput despite a lower base clock (1155 MHz versus 1895 MHz). Boost clocks are closer: 2550 MHz for NVIDIA versus 2525 MHz for AMD.

The compute resources diverge sharply. NVIDIA fields 12,800 shading units, 400 TMUs, and 176 ROPs, while AMD counters with 4,480 shading units, 280 TMUs, and 128 ROPs. NVIDIA also has 100 RT cores and 400 tensor cores; AMD has 70 RT cores and no tensor core equivalent in the data. These numbers translate directly to raw rates: NVIDIA’s pixel rate is 448.8 GPixel/s versus AMD’s 323.2 GPixel/s, and texture rate is 1,020.0 GTexel/s versus 707.0 GTexel/s. FP32 throughput favors NVIDIA at 65.28 TFLOPS versus 45.25 TFLOPS, but AMD flips the script on FP16: 90.50 TFLOPS (2:1 ratio) versus NVIDIA’s 65.28 TFLOPS (1:1 ratio). That means AMD has a 38.6% FP16 advantage, which could matter for AI inference workloads that tolerate reduced precision.

Memory subsystems are identical on paper: both use 32 GB of GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth and 2250 MHz memory clock (18 Gbps effective). The real differentiators are the compute cores and feature sets. NVIDIA’s tensor cores enable dedicated AI acceleration, while AMD’s higher FP16 rate suggests a brute-force approach to half-precision math. The transistor budget difference (18,600 million more for NVIDIA) is evident in the shading unit count, which is nearly triple AMD’s.

Where Each One Wins

NVIDIA’s RTX 5000 Ada wins every benchmark in the dataset, so the practical question is where AMD’s W7800 can still claim a niche. The FP16 throughput advantage is the most clear-cut case: at 90.50 TFLOPS versus 65.28 TFLOPS, AMD is 38.6% faster in half-precision compute. Workloads that rely heavily on FP16—certain machine learning training loops, image processing pipelines, or scientific simulations using mixed precision—could see better raw throughput on the W7800 despite its lower overall benchmark scores. The data does not include a dedicated FP16 benchmark, but the specification difference is unambiguous.

For everything else, NVIDIA dominates. The OpenCL and Vulkan wins show that Ada Lovelace scales better in general-purpose compute and graphics APIs. The 13.6% OpenCL lead is particularly relevant for CAD, rendering, and simulation software that offloads to OpenCL. NVIDIA’s higher pixel rate (448.8 GPixel/s versus 323.2 GPixel/s) suggests better fill-rate-bound performance for high-resolution viewport rendering or multi-display output. The tensor cores also give the RTX 5000 Ada a hardware path for DLSS-style AI acceleration and denoising that the W7800 lacks entirely.

The ROP count difference (176 versus 128) further favors NVIDIA in rasterization-heavy tasks, and the texture rate gap (1,020.0 versus 707.0 GTexel/s) implies faster texture filtering in 3D applications. For users who need the best raw compute in OpenCL or Vulkan—which covers most professional DCC and engineering tools—the RTX 5000 Ada is the clear choice. The W7800’s only spec-level win is FP16 throughput, which is a narrow but real edge for specific compute workflows.

Specification Differences

The two cards differ on nearly every core spec except memory configuration. Clock speeds: NVIDIA runs at 1155 MHz base and 2550 MHz boost; AMD runs at 1895 MHz base and 2525 MHz boost. AMD’s higher base clock does not compensate for its lower core count in practice. Shading units: 12,800 versus 4,480. TMUs: 400 versus 280. ROPs: 176 versus 128. RT cores: 100 versus 70. Tensor cores: 400 versus none (AMD has no tensor core field). FP32: 65.28 TFLOPS versus 45.25 TFLOPS. FP16: 65.28 TFLOPS (1:1) versus 90.50 TFLOPS (2:1). Pixel rate: 448.8 GPixel/s versus 323.2 GPixel/s. Texture rate: 1,020.0 GTexel/s versus 707.0 GTexel/s.

Power and physical specs also differ. NVIDIA’s TDP is 250 W with a single 16-pin connector; AMD’s is 260 W with two 8-pin connectors. Both suggest a 600 W PSU. Board dimensions: NVIDIA is 267 mm long and 112 mm tall; AMD is 280 mm long, 110 mm tall, and 40 mm wide (NVIDIA’s width is not listed). Both are dual-slot. Display outputs: NVIDIA has 4x DisplayPort 1.4a; AMD has 3x DisplayPort 2.1 plus 1x mini-DisplayPort 2.1, giving AMD a newer display standard and an extra port format. Both use PCIe 4.0 x16 and support DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4. Transistors: 76,300 million versus 57,700 million. Die size: 609 mm² versus 529 mm². Release dates: NVIDIA launched 2023-08-08; AMD launched 2023-04-12. AMD’s launch MSRP is 2,499 USD; NVIDIA has no listed launch MSRP.

FAQ

Q: Which card has higher raw compute throughput in FP32?

A: NVIDIA’s RTX 5000 Ada leads with 65.28 TFLOPS versus AMD’s 45.25 TFLOPS, a 44.2% advantage.

Q: Does AMD win any performance category?

A: Yes, FP16 compute. The W7800 delivers 90.50 TFLOPS (2:1 ratio), while the RTX 5000 Ada delivers 65.28 TFLOPS (1:1), giving AMD a 38.6% edge in half-precision workloads.

Q: How do the two cards compare in the included benchmarks?

A: NVIDIA wins both. Geekbench OpenCL: 175,286 versus 154,366 (13.6% delta). Geekbench Vulkan: 194,041 versus 175,422 (10.6% delta).

Q: Are the memory configurations identical?

A: Yes. Both have 32 GB GDDR6 on a 256-bit bus with 576.0 GB/s bandwidth and an 18 Gbps effective memory clock.

Q: What is the transistor count difference?

A: NVIDIA’s AD102 has 76,300 million transistors on a 609 mm² die; AMD’s Navi 31 has 57,700 million on a 529 mm² die. NVIDIA has 18,600 million more transistors.

Q: Which card has better display output options?

A: AMD’s W7800 supports DisplayPort 2.1 on three ports plus one mini-DisplayPort 2.1, while NVIDIA’s RTX 5000 Ada has four DisplayPort 1.4a outputs. AMD’s newer standard supports higher bandwidth per port.