GeForce RTX 5050 FurMark Benchmark Results: Slower Than Radeon RX 6600M, Capable of Boosting to 2.9 GHz

The NVIDIA GeForce RTX 5050 is rumored to be slower than its predecessor’s 60-class cards, as suggested by a recent benchmark leak.

Benchmark Insights on the NVIDIA GeForce RTX 5050

Set to debut in the latter half of July, the GeForce RTX 5050 has sparked interest, though preliminary findings indicate that it may fall short in performance compared to its rivals. While there aren’t direct competitors from AMD or Intel, it stands against previous-generation GPUs like the RX 7600 and RTX 4060. Early indications are disappointing for prospective buyers.

According to a benchmark conducted using FurMark, a well-known stress test for GPUs, the RTX 5050 recorded a score of 1978 points at a clock speed of 2.9 GHz. This test was shared by @OyashokuDesu, although the specific model tested has not been fully confirmed. Notably, the PCI-ID (10DE-2D83) is associated with the RTX 5050 desktop variant.

In this test, the GPU was paired with an older Core i7 9700 processor and the results were derived from 4K resolution OpenGL tests, achieving only 32 FPS. These metrics suggest that performance is slightly below that of the Radeon RX 6600M, a mobile version of the RX 6600. In comparison to the RTX 4060, the RTX 5050 appears to be about 9% slower. Such numbers raise concerns about its gaming viability against its predecessor’s 60-class GPUs.

It’s important to note that FurMark results may not directly correlate with real-world gaming performance. Additionally, the testing platform did not utilize a PCIe 5.0 interface, but this limitation is not critical for the entry-level RTX 5050. Although the GPU boasts impressive core clock speeds that surpass 2.9 GHz, these numbers do not significantly enhance its performance against competitors.

The RTX 5050 is built on the GB207 die using the Blackwell architecture, equipped with 8 GB of GDDR6 memory. Performance could have benefited from GDDR7 memory, which NVIDIA reserved for its mobile GPUs, opting for GDDR6 in this model to reduce costs. While some may defend its performance figures, the pricing does not appear justified given its capabilities. However, it is wise to await further benchmarks as more data becomes available.

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Additional source: Wccftech