GPUsed

RX 5700 XT 8GB vs RTX 3070 8GB

GPU comparison · 1080p benchmark

Compare RX 5700 XT 8GB and RTX 3070 8GB using GPUsed's recorded model-level benchmark FPS. See the percentage difference, then open the full comparison tool if you want to choose another card.

RTX 3070 8GB is 39.5% faster than RX 5700 XT 8GB

RTX 3070 8GB recorded 212 FPS against 152 FPS for RX 5700 XT 8GB. These are continuous 1080p benchmark averages, not predicted FPS in any particular game.

RX 5700 XT 8GB

152Benchmark FPS at 1080p
Benchmark score
19.4 / 100
Graphics memory
8GB
Released
July 2019

RTX 3070 8GB

212Benchmark FPS at 1080p
Benchmark score
27 / 100
Graphics memory
8GB
Released
October 2020

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What does this comparison mean?

The 3070 leads the RX 5700 XT and keeps the same 8GB capacity. The benchmark uplift is clear, but memory headroom does not change.

Both variants have 8GB of graphics memory. Memory capacity, board dimensions, power connectors and the price of a particular used card are separate from this benchmark. Compare the exact item before deciding whether to upgrade.

The two GPUs in context

RX 5700 XT 8GB

The 8GB RX 5700 XT launched RDNA with an attractive jump from Vega-era efficiency and strong raster gaming value. Its reference blower ran hot and loud, but partner cards helped establish a durable reputation.

RTX 3070 8GB

The RTX 3070 brought a substantial Ampere performance step to the 70-class position. Its 8GB memory was a clear design boundary beside faster 30-series siblings, tempering an otherwise effective launch role.

Release dates: RX 5700 XT 8GB source · RTX 3070 8GB source.

How the figures are compared

Both FPS figures come from the owner-supplied GPUsed benchmark dataset. GPUsed reports a continuous FurMark run at 1080p for its physical-card checks. The percentage above compares the higher model average with the lower one; the score scales every model against the fastest GPU in the current dataset, which scores 100. A benchmark result does not predict gaming FPS, and the percentage may change with the benchmark dataset.

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