Home AI BenchMeasured on real home PCs

Benchmark results

Median seconds per image on rented home GPUs, measured 2026-10-23. Same prompt and seeds on every machine. * = fewer than 5 machines, reference only. Download CSV · See the images · Method

Speed by GPU and model

Seconds per 1024×1024 image, warm. Lower is faster. Small text = machines measured. Rows are ordered by SDXL speed.

GPUSDXLFLUX.2 kleinFLUX.3 kleinFLUX.1 schnell
RTX 5070 12GB8.8 n=53.3* n=211.8* n=17.9* n=2
RTX 4070 12GB9.5 n=53.1* n=2—7.2* n=1
RTX 5060 8GB13.9 n=5———
RTX 4060 8GB18.0* n=4———
RTX 3070 8GB18.6* n=1———
RTX 3060 12GB21.0 n=6——14.1* n=2

Details per model

Stable Diffusion XL 1.0 (base)

1024×1024, 30 steps, euler / normal, cfg 7

GPUMedian s/imageMin–maxNodesPeak VRAM / total GBCost per imageFirst image
RTX 5070 12GB8.808.51–8.91511.1 / 12$0.0004072 s
RTX 4070 12GB9.529.40–11.12511.0 / 12$0.00040636 s
RTX 5060 8GB13.9113.58–15.0357.5 / 8$0.0004382 s
RTX 4060 8GB18.01*17.70–18.7347.5 / 8$0.00040286 s
RTX 3070 8GB18.59*18.59–18.591—$0.0005255 s
RTX 3060 12GB20.9820.45–22.01610.1 / 12$0.0004772 s

FLUX.2 [klein] 4B (distilled)

1024×1024, 4 steps, euler, cfg 1

GPUMedian s/imageMin–maxNodesPeak VRAM / total GBCost per imageFirst image
RTX 4070 12GB3.06*2.92–3.21211.5 / 12$0.00013156 s
RTX 5070 12GB3.30*3.18–3.43211.2 / 12$0.0001592 s

FLUX.3 [klein] (distilled, bf16)

1024×1024, 15 steps, er_sde, cfg 1

GPUMedian s/imageMin–maxNodesPeak VRAM / total GBCost per imageFirst image
RTX 5070 12GB11.82*11.82–11.82111.4 / 12$0.00054186 s

FLUX.1 [schnell] (fp8)

1024×1024, 4 steps, euler / simple, cfg 1

GPUMedian s/imageMin–maxNodesPeak VRAM / total GBCost per imageFirst image
RTX 4070 12GB7.22*7.22–7.22111.6 / 12$0.0003077 s
RTX 5070 12GB7.87*6.53–9.21211.5 / 12$0.0003658 s
RTX 3060 12GB14.06*13.91–14.21211.2 / 12$0.00031792 s

Raw GPU speed

Our own short PyTorch test (matrix multiplication, attention, memory copy), mean of the machines listed. Machines of the same card differ by up to ~50% on some numbers; see the note.

GPUMachinesfp16 matmul TFLOPSfp32 matmul TFLOPSAttention fp16 TFLOPSMemory GB/sSDXL s/image
RTX 5070 12GB363.619.866.05768.8
RTX 4070 12GB362.818.159.74389.5
RTX 5060 8GB339.111.939.838713.9
RTX 4060 8GB331.07.730.724718.0
RTX 3070 8GB236.79.737.542118.6
RTX 3060 12GB325.66.624.134021.0

Square vs portrait

Same machine, same model, same prompt. Portrait has about the same pixel count as square.

ModelGPUSquare 1024×1024 sPortrait 832×1216 sPortrait vs square
SDXL 1.0RTX 5070 12GB12.2611.43-7%
FLUX.2 kleinRTX 5070 12GB4.554.37-4%

Numbers are rough: rented machines are owned by individuals and vary. Cost uses the rental hourly price at the time. Peak VRAM is the nvidia-smi value and includes memory PyTorch reserves.