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

24GB · AI Score 3.7/100 · anchored estimate vs 51 measured cards

3.7 AI Score Includes estimates

We have not run AMD Radeon RX 7900 XTX 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 XTX should deliver about 147.1 tokens/sec. Stepping up to Qwen3 32B it should hold roughly 41 tok/s. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 24GB. 1 of the 12 workloads won't fit on 24GB 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.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B213.9

Llama 3.1 8B147.1

Qwen2.5-Coder 14B80.3

Qwen3 32B41.4

Workload	Result	Telemetry	Data
Qwen3 4B	213.9 tok/s	estimated	Est.
Llama 3.1 8B	147.1 tok/s	estimated	Est.
Qwen2.5-Coder 14B	80.3 tok/s	estimated	Est.
Qwen3 32B	41.4 tok/s	estimated	Est.
Llama 3.3 70B	✕ Won't fit	VRAM-gated at this precision	Est.

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 ×0.95, diffusion ×0.5); 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 XTX specifications

Architecture	RDNA 3 (Navi 31)
Stream processors	6,144
VRAM	24GB GDDR6
Memory bus	384-bit
Memory bandwidth	960 GB/s
Boost clock	2,500 MHz
TDP	355 W
Process	5nm (GPU) + 6nm (MCD)
Interface	PCIe 4.0 x16
Release date	2022-12-13
Launch MSRP	$999

Verdict, capable, but 24GB sets the ceiling

AMD Radeon RX 7900 XTX scores 3.7/100, #49 of 102. It ran 4 of 12; 1 exceeded its 24GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the AMD Radeon RX 7900 XTX lands

100% = this card, AI & Machine Learning headline metric (AI Score). #15 of 61 desktop cards in this vertical.

GPU	%	AI Score
GeForce RTX 4080 Super	127%	4.7
GeForce RTX 5070 Ti	127%	4.7
NVIDIA RTX 4000 (Ada Generation)	119%	4.4
NVIDIA GeForce RTX 4070 Ti Super	116%	4.3
AMD Radeon RX 7900 XTX	100%	3.7
GeForce RTX 5060 Ti	100%	3.7
NVIDIA GeForce RTX 3080 Ti	95%	3.5
NVIDIA GeForce RTX 4060 Ti 16GB	86%	3.2
NVIDIA GeForce RTX 4070 Ti	86%	3.2

One tier up: NVIDIA GeForce RTX 4070 Ti Super (+16%)
One tier down: GeForce RTX 5060 Ti (0%)
Best value alternative ($429): GeForce RTX 5060 Ti (0%)

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

← All AI & Machine Learning GPU rankings

The silicon

Transistors	57,700 million
Die size	522 mm²
Process node	5 nm
Fabricated by	TSMC
Transistor density	110.5 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.

Workflow	Time	Energy	Basis
Full codebase review	12.5 min	n/a	estimate, 0 of 1 stage measured

Can't run: Long-form article batch (needs Llama 3.3 70B).