32GB · AI Score 3.0/100 · anchored estimate vs 51 measured cards
3 AI Score Includes estimates
We have not run AMD Radeon Pro W6800 on our bench. These figures are anchored estimates, interpolated per workload against the 51 GPUs we did measure (confidence: low). On Llama 3.1 8B (Q4_K_M) AMD Radeon Pro W6800 should deliver about 80.3 tokens/sec. Stepping up to Qwen3 32B it should hold roughly 18 tok/s. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 32GB. 1 of the 12 workloads won't fit on 32GB at the tested precision, Llama 3.3 70B. We publish those as hard gates rather than quietly dropping to a smaller quant. Image, video and 3D models aren't listed for this card. They're built for NVIDIA's CUDA, and on AMD they only run through ROCm workarounds whose speed depends more on the driver and OS than on the card, so we don't estimate them, and they count as not supported in the AI score. For text generation (llama.cpp runs natively on ROCm and Vulkan), the numbers above hold up.
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| Qwen3 4B | 129.1 tok/s | estimated | Est. |
| Llama 3.1 8B | 80.3 tok/s | estimated | Est. |
| Qwen2.5-Coder 14B | 43.6 tok/s | estimated | Est. |
| Qwen3 32B | 18.1 tok/s | estimated | Est. |
| Llama 3.3 70B | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Architecture | RDNA 2 |
| Stream processors | 3,840 |
| VRAM | 32GB GDDR6 |
| Memory bus | 256-bit |
| Memory bandwidth | 512 GB/s |
| Boost clock | 2,320 MHz |
| TDP | 250 W |
| Process | 7nm |
| Interface | PCIe 4.0 x16 |
| Release date | 2021-06-08 |
| Launch MSRP | $2,249 |
AMD Radeon Pro W6800 scores 3.0/100, #59 of 102. It ran 4 of 12; 1 exceeded its 32GB. Figures are anchored estimates, not measurements, we flag that on every row.
100% = this card, AI & Machine Learning headline metric (AI Score). #17 of 20 workstation cards in this vertical.
| GPU | Relative | % | AI Score |
|---|---|---|---|
| AMD Radeon Pro W7900 | 150% | 4.5 | |
| NVIDIA RTX A4000 | 137% | 4.1 | |
| NVIDIA Quadro RTX 5000 | 117% | 3.5 | |
| NVIDIA RTX 2000 Ada Generation | 103% | 3.1 | |
| AMD Radeon Pro W6800 | 100% | 3 | |
| AMD Radeon Pro W7800 | 100% | 3 | |
| Intel Arc Pro A60 | 60% | 1.8 | |
| NVIDIA RTX A2000 | 43% | 1.3 |
← All AI & Machine Learning GPU rankings
| Transistors | 26,800 million |
| Die size | 520 mm² |
| Process node | 7 nm |
| Fabricated by | TSMC |
| Transistor density | 51.5 million per mm² |
Denser than 85% of the 746 cards we have silicon data for. Density is the clearest measure of what a process node bought: a card that gained it without growing the die got its speed from the fab rather than the architecture.
Silicon figures from Wikipedia (CC BY-SA 4.0). Benchmarks on this page are our own. Compare every chip.
Whole-job timings, composed from our measured per-model results on this card.
| Workflow | Time | Energy | Basis |
|---|---|---|---|
| Full codebase review | 22.9 min | n/a | estimate, 0 of 1 stage measured |
Can't run: Long-form article batch (needs Llama 3.3 70B).