GPU Comparison

# Head-to-Head Benchmarks

The only common benchmark between the AMD Radeon Pro W6800X and NVIDIA A10M is Geekbench OpenCL, and the data shows a clear NVIDIA victory. The A10M scores 135,230 compared to the W6800X's 124,498, a 7.9% deficit for the AMD card. That single-data-point comparison, however, tells only a fraction of the story, as each card occupies a completely different performance tier when placed against their respective nearest rivals.

The W6800X posts an average benchmark score of 160,671 across its two tests, while the A10M averages 135,230 from its single OpenCL result. The AMD card's Metal score of 196,844 is its standout achievement, nearly 60% higher than its own OpenCL result of 124,498. That Metal advantage is meaningful for macOS-centric workloads, but the A10M counters with raw compute headroom that the W6800X cannot match in cross-platform OpenCL tasks.

Positioning against rivals reveals how close the W6800X sits to a crowded pack. The AMD card trails the NVIDIA A100 PCIe 40 GB by just 1.1%, the AMD Radeon PRO W7800 by 2.6%, the NVIDIA RTX A5500 by 2.8%, and the NVIDIA RTX 4500 Ada Generation by 3.3%. These are remarkably tight margins, placing the W6800X in the 97th percentile of all GPUs. The A10M, by contrast, lands in the 96th percentile, with its nearest rivals clustering even more tightly: it matches the NVIDIA RTX 4000 Ada Generation exactly (0% delta), trails the AMD Radeon PRO W6800 by 0.1%, the AMD Radeon Pro W6800X Duo by 0.4%, and the AMD Radeon PRO V620 by 0.9%.

The W6800X's 97th-percentile ranking versus the A10M's 96th suggests the AMD part holds a slight overall standing, yet the head-to-head OpenCL result flips that impression. The A10M's 23.44 TFLOPS FP32 throughput exceeds the W6800X's 16.03 TFLOPS by roughly 46%, a substantial raw compute advantage that likely explains its OpenCL win. The W6800X counters with higher pixel throughput at 200.4 GPixel/s versus 130.8 GPixel/s, and faster texture fill at 500.9 GTexel/s versus 366.2 GTexel/s. These architectural strengths point toward different workload optimizations.

# Where Each One Wins

The W6800X wins decisively in graphics-centric and Apple-ecosystem tasks. Its Geekbench Metal score of 196,844 demonstrates exceptional performance in Metal-accelerated applications, which is critical for Mac Pro users given the card's Apple MPX bus interface and Thunderbolt display outputs. The 512.0 GB/s memory bandwidth, 32 GB of GDDR6 on a 256-bit bus, and 60 ray accelerators position it for content creation, 3D rendering, and GPU-accelerated video work within macOS environments. The 97th-percentile ranking reinforces its standing as a top-tier graphics solution, particularly for users who rely on Metal rather than OpenCL.

The A10M wins in raw compute density and server-oriented workloads. Its 23.44 TFLOPS FP32 and identical FP16 throughput (1:1 ratio) makes it a formidable number cruncher, and the inclusion of 224 tensor cores gives it a feature the W6800X lacks entirely. The 7.9% OpenCL victory over the W6800X, despite the AMD card's higher pixel and texture rates, indicates the A10M's strength in compute-heavy tasks that scale with shader cores. The A10M's 7,168 shading units dwarf the W6800X's 3,840, and its 56 ray tracing cores approach the AMD card's 60. With a 150 W TDP and single-slot design, the A10M also fits into dense server environments where the W6800X's quad-slot footprint and 200 W TDP create physical and thermal constraints.

For memory-intensive workloads, the cards trade blows. The W6800X offers 32 GB of VRAM versus the A10M's 20 GB, a 60% capacity advantage that matters for large datasets and high-resolution textures. Yet the A10M nearly matches bandwidth at 500.2 GB/s versus 512.0 GB/s, a mere 2.3% gap, despite its narrower 320-bit bus versus the W6800X's 256-bit bus. The A10M achieves this through higher effective memory clock efficiency relative to its bus width.

# Architecture Differences

The two cards stem from fundamentally different silicon philosophies. The W6800X uses AMD's Navi 21 chip built on RDNA 2.0 architecture, fabricated on TSMC's 7 nm process. The A10M employs NVIDIA's GA102 die based on Ampere architecture, manufactured on Samsung's 8 nm node. The process difference explains part of the performance-per-watt equation: TSMC's 7 nm node packs 51.5 million transistors per square millimeter, while Samsung's 8 nm achieves 45.1 million per square millimeter.

Transistor counts are similar, with the A10M's 28,300 million slightly ahead of the W6800X's 26,800 million. Die size differs more substantially: the A10M measures 628 mm² versus 520 mm² for the W6800X, meaning NVIDIA's chip uses 21% more silicon area for roughly 5.6% more transistors. The W6800X's higher transistor density (51.5M / mm² versus 45.1M / mm²) reflects the more advanced process node.

Core configurations diverge sharply. The A10M packs 7,168 shading units, 224 TMUs, 80 ROPs, 56 RT cores, and 224 tensor cores. The W6800X counters with 3,840 shading units, 240 TMUs, 96 ROPs, and 60 RT cores but has no tensor core equivalent. Despite fewer shaders, the W6800X achieves higher pixel and texture rates due to its higher clock speeds: 1800 MHz base and 2087 MHz boost, versus the A10M's 975 MHz base and 1635 MHz boost. The AMD card's boost clock exceeds the NVIDIA card's by 27.6%.

Memory subsystems differ in capacity and configuration. The W6800X uses 32 GB of GDDR6 across a 256-bit bus with 2000 MHz memory clock (16 Gbps effective), delivering 512.0 GB/s. The A10M uses 20 GB of GDDR6 across a 320-bit bus with 1563 MHz memory clock (12.5 Gbps effective), delivering 500.2 GB/s. The W6800X's 60% larger capacity is offset by the A10M's wider bus, resulting in nearly identical bandwidth.

FP16 performance reveals a key architectural split. The W6800X achieves 32.06 TFLOPS FP16 via a 2:1 ratio relative to FP32, while the A10M delivers 23.44 TFLOPS FP16 at a 1:1 ratio. This means the AMD card excels at half-precision workloads, but the NVIDIA card maintains consistent throughput across precisions, a trait valuable in mixed-precision compute.

Physical and interface differences target distinct deployment scenarios. The W6800X uses Apple MPX power and bus connections, spans four slots, measures 267 mm by 120 mm, and outputs 1x HDMI 2.1 plus 4x Thunderbolt. The A10M uses an 8-pin EPS connector and PCIe 4.0 x16 interface, occupies one slot, measures 267 mm by 112 mm, and has no display outputs. The W6800X requires a 550 W suggested PSU versus 450 W for the A10M.

# FAQ

Q: Which card has higher raw FP32 compute performance?

A: The NVIDIA A10M leads with 23.44 TFLOPS FP32, approximately 46% higher than the AMD Radeon Pro W6800X's 16.03 TFLOPS.

Q: How do the two cards compare in memory capacity?

A: The W6800X offers 32 GB of GDDR6, which is 60% more than the A10M's 20 GB, though memory bandwidth is nearly identical at 512.0 GB/s versus 500.2 GB/s.

Q: Does the A10M support display output?

A: No, the NVIDIA A10M has no display outputs and is designed for server compute workloads. The W6800X provides 1x HDMI 2.1 and 4x Thunderbolt outputs.

Q: Which card has tensor cores?

A: The NVIDIA A10M includes 224 tensor cores, while the AMD Radeon Pro W6800X has no tensor core equivalent in its specifications.

Q: What are the physical size differences?

A: Both cards are 267 mm long, but the W6800X is 120 mm tall and quad-slot, while the A10M is 112 mm tall and single-slot, making the A10M far more compact.

Q: How do their benchmark percentiles compare?

A: The W6800X sits in the 97th percentile of all GPUs with an average score of 160,671, while the A10M ranks in the 96th percentile with an average score of 135,230.

# The Verdict

The data paints a clear picture of two specialized tools. The AMD Radeon Pro W6800X is the choice for graphics-centric workflows in Apple ecosystems, particularly those leveraging Metal acceleration. Its 196,844 Metal score, 32 GB VRAM, quad-slot design with Thunderbolt outputs, and 97th-percentile standing make it a premium Mac Pro companion for content creation, high-resolution rendering, and display-driven tasks. The 7 nm TSMC process and RDNA 2.0 architecture deliver higher pixel and texture rates, and the 2:1 FP16 advantage suits half-precision graphics pipelines.

The NVIDIA A10M is the compute-focused alternative. Its 7.9% OpenCL lead over the W6800X, 46% higher FP32 throughput, 224 tensor cores, and single-slot form factor with 150 W TDP make it ideal for dense server deployments, AI inference, and scientific compute. The 1:1 FP16 ratio ensures consistent performance across precision levels, and the 96th-percentile ranking confirms its competitiveness despite a lower average score. The 20 GB VRAM may limit some workloads, but the 500.2 GB/s bandwidth mitigates that constraint.

Users who need display outputs, maximum memory capacity, and Metal performance should choose the W6800X. Users who prioritize raw compute, tensor acceleration, and space-efficient server installation should choose the A10M. Both cards are end-of-life products, but each remains a capable option in its respective domain. The AMD card's launch MSRP was 2,799 USD.