AMD Radeon RX 7900 XT, AI & Machine Learning Benchmarks & Specs

20GB · AI Score 2.5/100 · anchored estimate vs 51 measured cards

2.5 AI Score Includes estimates

We have not run AMD Radeon RX 7900 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 7900 XT should deliver about 115.5 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 20GB. 2 of the 12 workloads won't fit on 20GB at the tested precision, Qwen3 32B, 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.

AI & Machine Learning benchmark results

Text Generation tok/s 6

Qwen3 4B183.3
Llama 3.1 8B115.5
Qwen2.5-Coder 14B65.1
WorkloadResultTelemetryData
Qwen3 4B183.3 tok/sestimatedEst.
Llama 3.1 8B115.5 tok/sestimatedEst.
Qwen2.5-Coder 14B65.1 tok/sestimatedEst.
Gemma 4 31B✕ Won't fit needs ~22 GBVRAM-gated at this precisionEst.
Qwen3 32B✕ Won't fit needs ~23 GBVRAM-gated at this precisionEst.
Llama 3.3 70B✕ Won't fit VRAM-gated at this precisionEst.
How this estimate is derived. This card hasn’t been through our bench yet, so its numbers are anchored estimates, interpolated from the 51 first-party measured cards (Bandwidth Theil-Sen ladder off NVIDIA anchors × vendor factor (LLM ×0.9, diffusion ×0.42); measured VRAM floors; recalibrated 2026-09-19 against published llama.cpp (CUDA/ROCm/Vulkan/SYCL) and Stable Diffusion results.). The VRAM “won’t fit” gates are exact, since they’re pure capacity limits. Confidence: low. Estimates are replaced with measured data as more silicon goes through the bench. Full methodology →

AMD Radeon RX 7900 XT specifications

ArchitectureRDNA 3 (Navi 31)
Stream processors5,376
VRAM20GB GDDR6
Memory bus320-bit
Memory bandwidth800 GB/s
Boost clock2,425 MHz
TDP315 W
Process5nm (chiplet)
InterfacePCIe 4.0 x16
Release date2022-12-13
Launch MSRP$899

Verdict, capable, but 20GB sets the ceiling

AMD Radeon RX 7900 XT scores 2.5/100, #64 of 102. It ran 3 of 12; 2 exceeded its 20GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the AMD Radeon RX 7900 XT lands

100% = this card, AI & Machine Learning headline metric (AI Score). #25 of 61 desktop cards in this vertical.

GPURelative%AI Score
NVIDIA GeForce RTX 4070 Super
124%3.1
NVIDIA GeForce RTX 4070
124%3.1
NVIDIA TITAN V
116%2.9
NVIDIA GeForce RTX 3060
104%2.6
AMD Radeon RX 7900 XT
100%2.5
AMD Radeon RX 7800 XT
96%2.4
AMD Radeon RX 9070 XT
96%2.4
AMD Radeon RX 9070
96%2.4
NVIDIA TITAN X (Pascal)
96%2.4

Same card, other workloads: AMD Radeon RX 7900 XT Gaming benchmarks

← All AI & Machine Learning GPU rankings

The silicon

Transistors57,700 million
Die size522 mm²
Process node5 nm
Fabricated byTSMC
Transistor density110.5 million per mm²

Denser than 92% 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.

What this card can build

Whole-job timings, composed from our measured per-model results on this card.

WorkflowTimeEnergyBasis
Full codebase review15.4 minn/aestimate, 0 of 1 stage measured

Can't run: Short social clips (needs Qwen3 32B), 60-second AI short film (needs Qwen3 32B), 24-frame storyboard (needs Qwen3 32B), 6-panel comic page (needs Qwen3 32B), Long-form article batch (needs Llama 3.3 70B).