16GB · AI Score 3.5/100 · anchored estimate vs 51 measured cards
3.5 AI Score Includes estimates
We have not run AMD Radeon RX 6950 XT 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 RX 6950 XT should deliver about 84.1 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 16GB. For image generation, SDXL should run near 1.73 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 6 of the 12 workloads won't fit on 16GB at the tested precision, Qwen3 32B, Llama 3.3 70B, FLUX.1-dev, FLUX.1 Kontext and others. We publish those as hard gates rather than quietly dropping to a smaller quant.
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| Qwen3 4B | 130 tok/s | estimated | Est. |
| Llama 3.1 8B | 84.1 tok/s | estimated | Est. |
| Qwen2.5-Coder 14B | 44.1 tok/s | estimated | Est. |
| Qwen3 32B | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Llama 3.3 70B | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| Stable Diffusion XL | 3.46 images/min | estimated | Est. |
| Z-Image Turbo | 1.95 images/min | estimated | Est. |
| FLUX.1 dev | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| FLUX.1 Kontext dev | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Qwen-Image-Edit | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Workload | Result | Telemetry | Data |
|---|---|---|---|
| LTX-Video (distilled) | 1.26 frames/s | estimated | Est. |
| Wan 2.2 5B (720p) | ✕ Won't fit | VRAM-gated at this precision | Est. |
| Architecture | RDNA 2 |
| Stream processors | 5,120 |
| VRAM | 16GB GDDR6 |
| Memory bus | 256-bit |
| Memory bandwidth | 576 GB/s |
| Boost clock | 2,310 MHz |
| TDP | 335 W |
| Process | 7nm |
| Interface | PCIe 4.0 x16 |
| Release date | 2022-05-10 |
| Launch MSRP | $1,099 |
AMD Radeon RX 6950 XT scores 3.5/100, #54 of 102. It ran 6 of 12; 6 exceeded its 16GB. Figures are anchored estimates, not measurements, we flag that on every row.
100% = this card, AI & Machine Learning headline metric (AI Score). #18 of 61 desktop cards in this vertical.
| GPU | Relative | % | AI Score |
|---|---|---|---|
| GeForce RTX 5070 Ti | 134% | 4.7 | |
| NVIDIA RTX 4000 (Ada Generation) | 126% | 4.4 | |
| NVIDIA GeForce RTX 4070 Ti Super | 123% | 4.3 | |
| GeForce RTX 5060 Ti | 106% | 3.7 | |
| AMD Radeon RX 6950 XT | 100% | 3.5 | |
| NVIDIA GeForce RTX 3080 Ti | 100% | 3.5 | |
| AMD Radeon RX 9070 XT | 97% | 3.4 | |
| AMD Radeon RX 9070 | 97% | 3.4 | |
| AMD Radeon RX 6800 XT | 94% | 3.3 |
Same card, other workloads: AMD Radeon RX 6950 XT Gaming benchmarks
← All AI & Machine Learning GPU rankings
| Transistors | 26,800 million |
| Process node | 7 nm |
| Fabricated by | TSMC |
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 | 22.7 min | n/a | estimate, 0 of 1 stage measured |
Can't run: 60-second AI short film (needs Qwen3 32B), 60-second AI short film, narrated (needs Qwen3 32B), 10 short social clips (needs Qwen3 32B), 40-product photo shoot (needs FLUX.1 Kontext dev), 6-panel comic page (needs Qwen3 32B), 20 long-form articles (needs Llama 3.3 70B), Character sheet, 12 poses (needs FLUX.1 dev), 100-photo restoration batch (needs FLUX.1 Kontext dev), 24-frame storyboard (needs Qwen3 32B), 100-photo restore and enlarge (needs FLUX.1 Kontext dev).