AMD Radeon RX 6700, AI & Machine Learning Benchmarks & Specs

10GB · AI Score 2.3/100 · anchored estimate vs 51 measured cards

2.3 AI Score Includes estimates

We have not run AMD Radeon RX 6700 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 6700 should deliver about 48.5 tokens/sec. Llama 3.3 70B does not fit. It needs roughly 42GB and this card has 10GB. For image generation, SDXL should run near 0.9 it/s, while FLUX.1-dev won't fit at BF16 (needs ~26GB). 8 of the 12 workloads won't fit on 10GB at the tested precision, Qwen3 32B, Llama 3.3 70B, Z-Image Turbo, FLUX.1-dev and others. We publish those as hard gates rather than quietly dropping to a smaller quant.

AI & Machine Learning benchmark results

Text Generation tok/s 5

Qwen3 4B78.5

Llama 3.1 8B48.5

Qwen2.5-Coder 14B26.8

Workload	Result	Telemetry	Data
Qwen3 4B	78.5 tok/s	estimated	Est.
Llama 3.1 8B	48.5 tok/s	estimated	Est.
Qwen2.5-Coder 14B	26.8 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.

Image Generation images/min 3

Workload	Result	Telemetry	Data
Stable Diffusion XL	1.8 images/min	estimated	Est.
Z-Image Turbo	✕ Won't fit	VRAM-gated at this precision	Est.
FLUX.1 dev	✕ Won't fit	VRAM-gated at this precision	Est.

Image Editing images/min 2

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.

Video Generation frames/s 2

Workload	Result	Telemetry	Data
LTX-Video (distilled)	✕ Won't fit	VRAM-gated at this precision	Est.
Wan 2.2 5B (720p)	✕ 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 ×0.85, diffusion ×0.5); realistic VRAM floors). 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 6700 specifications

Architecture	RDNA 2 (Navi 22)
Stream processors	2,304
VRAM	10GB GDDR6
Memory bus	160-bit
Memory bandwidth	320 GB/s
Boost clock	2,450 MHz
TDP	175 W
Process	7nm
Interface	PCIe 4.0 x16
Release date	2022-06-09
Launch MSRP	$479

Verdict, capable, but 10GB sets the ceiling

AMD Radeon RX 6700 scores 2.3/100, #77 of 102. It ran 4 of 12; 8 exceeded its 10GB. Figures are anchored estimates, not measurements, we flag that on every row.

Relative performance: where the AMD Radeon RX 6700 lands

100% = this card, AI & Machine Learning headline metric (AI Score). #38 of 61 desktop cards in this vertical.

GPU	%	AI Score
NVIDIA GeForce RTX 3060	113%	2.6
NVIDIA TITAN Xp	113%	2.6
AMD Radeon RX 7700 XT	109%	2.5
NVIDIA TITAN X (Pascal)	109%	2.5
AMD Radeon RX 6700	100%	2.3
NVIDIA GeForce RTX 3080	100%	2.3
NVIDIA GeForce RTX 2080 Ti Founders Edition	96%	2.2
NVIDIA GeForce RTX 3070 Ti	96%	2.2
NVIDIA GeForce RTX 2080 Super	91%	2.1

One tier up: NVIDIA TITAN X (Pascal) (+9%)
One tier down: NVIDIA GeForce RTX 3080 (0%)
Best value alternative ($249): NVIDIA GeForce RTX 5060 (-9%)

Same card, other workloads: AMD Radeon RX 6700 Gaming benchmarks

← All AI & Machine Learning GPU rankings

The silicon

Transistors	17,200 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.

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	37.3 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).