AMD Radeon RX 9060 XT Linux GPU Compute Performance

Written by Michael Larabel in Graphics Cards on 10 June 2025 at 08:00 AM EDT. Page 6 of 6. 36 Comments.

👁 IndigoBench benchmark with settings of Acceleration: OpenCL GPU, Scene: Supercar. RTX 5080 was the fastest.

👁 IndigoBench benchmark with settings of Acceleration: OpenCL GPU, Scene: Bedroom. RTX 4080 SUPER was the fastest.

For the IndigoBench renderer, the RX 9060 XT performance was only matching the GeForce RTX 4060.

👁 Blender benchmark with settings of Blend File: BMW27, Compute: NVIDIA CUDA. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: BMW27, Compute: NVIDIA OptiX. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: BMW27, Compute: Radeon HIP. RX 7900 XT was the fastest.

👁 Blender benchmark with settings of Blend File: Fishy Cat, Compute: NVIDIA CUDA. RTX 4080 SUPER was the fastest.

👁 Blender benchmark with settings of Blend File: Fishy Cat, Compute: NVIDIA OptiX. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: Fishy Cat, Compute: Radeon HIP. RX 7900 XT was the fastest.

👁 Blender benchmark with settings of Blend File: Pabellon Barcelona, Compute: NVIDIA CUDA. RTX 4080 SUPER was the fastest.

👁 Blender benchmark with settings of Blend File: Pabellon Barcelona, Compute: NVIDIA OptiX. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: Pabellon Barcelona, Compute: Radeon HIP. RX 7900 XT was the fastest.

NVIDIA with their CUDA and OptiX back-ends continue to be much more performant than alternatives for GPU-accelerated rendering with Blender 3D modeling. At least the RDNA4 GPU support was working on Blender 4.4 with ROCm 6.4.1.

👁 Blender benchmark with settings of Blend File: Classroom, Compute: NVIDIA CUDA. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: Classroom, Compute: NVIDIA OptiX. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: Classroom, Compute: Radeon HIP. RX 7900 XT was the fastest.

👁 Blender benchmark with settings of Blend File: Barbershop, Compute: NVIDIA CUDA. RTX 4080 SUPER was the fastest.

👁 Blender benchmark with settings of Blend File: Barbershop, Compute: NVIDIA OptiX. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: Barbershop, Compute: Radeon HIP. RX 7900 XT was the fastest.

👁 Blender benchmark with settings of Blend File: Junkshop, Compute: NVIDIA CUDA. RTX 4080 SUPER was the fastest.

👁 Blender benchmark with settings of Blend File: Junkshop, Compute: NVIDIA OptiX. RTX 5080 was the fastest.

👁 Blender benchmark with settings of Blend File: Junkshop, Compute: Radeon HIP. RX 7900 XT was the fastest.

For some Blender scenes tested though the RDNA4 GPUs were leading to Blender crashing with the HIP back-end, but the RDNA3 GPUs worked fine. Again, the ROCm software appears to need a bit more baking for RDNA4.

👁 GPU Power Consumption Monitoring Overview benchmark with settings of Accumulated GPU Power Consumption Monitoring.

👁 GPU Temp Monitoring Overview benchmark with settings of Accumulated GPU Temp Monitoring.

👁 Geometric Mean Of All Test Results benchmark with settings of Result Composite, AMD Radeon RX 9060 XT ROCm OpenCL GPU Compute Benchmarks. RTX 5080 was the fastest.

I'll be back around with more Radeon RX 9000 series GPU compute benchmarks as the ROCm software support matures. At least there is this level of support working for launch-day but further RDNA4 improvements are still obviously needed. Those wanting to dig through more numbers can find all my raw data via this result page. Thanks to AMD for supplying the RX 9060 XT 16GB review sample for launch day Linux testing on Phoronix.

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⇱ AMD Radeon RX 9060 XT Linux GPU Compute Performance Review - Phoronix

AMD Radeon RX 9060 XT Linux GPU Compute Performance