Stable Diffusion Speed Calculator 2026 | RTX 5090 and M5 Benchmarks

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AI (Stable Diffusion) Speed Calculator

Benchmark your "Images Per Minute" (IPM) for the latest RTX 50-Series,Apple M5 and other chips. Calculate Images Per Second (it/s) for Flux, SDXL, and Stable Diffusion 3.

Hardware Profile

Select GPU / Chip

NVIDIA RTX 5090 (32GB) [~95 it/s] NVIDIA RTX 5080 (16GB) [~65 it/s] NVIDIA RTX 5070 (12GB) [~42 it/s] Apple M5 Max [~25 it/s] Apple M5 Pro [~18 it/s] NVIDIA RTX 4090 (24GB) NVIDIA RTX 4070 Ti NVIDIA RTX 4060 Ti (16GB) Apple M3 Max AMD Radeon RX 9070 XT NVIDIA RTX 3060 (12GB) Apple M1 / M2 Standard CPU Only (Intel/AMD)

Model Architecture

SD 1.5 (Legacy/Fastest) SDXL Turbo (Real-Time) SDXL 1.0 (High Quality) Stable Diffusion 3 (Medium) Flux.1 Pro/Dev (Heavy)

Steps per Image

Flux needs 20-25 steps. SDXL needs 30.

Batch Count

Generation Speed

0 it/s

Total Time for 4 Images

0 sec

Processing...

Recommended Hardware

RTX 5090

Best value for Flux generation.

Check Pricing

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The RTX 5090 Advantage

With 32GB GDDR7 memory, the RTX 5090 is a monster. It creates Flux images ~75% faster than the 4090, making it the only real choice for 8K upscaling workflows.

Apple M5 Neural Engine

The new M5 chips utilize 4x faster GPU compute for AI. While still slower than NVIDIA for raw training, the M5 Max is now a viable contender for daily SDXL inference.

Flux & SD3 Requirements

New 2026 models like Flux.1 require massive VRAM bandwidth. 12GB cards (like the 4070) will struggle with batch sizes larger than 1.