ImageBench

ImageBench V1 —

192 evaluations across 6 categories

Benchmark V1 verdicts are produced by VLM judges and can contain mistakes. Treat PASS/FAIL labels as machine-assisted assessments, and inspect the images yourself. Learn more about the methodology.

Generation Details

Source-backed model context, size, cost, and request settings for this ImageBench V1 run.

local/iris-3b

Local

Iris-3B by Sperid Labs is a 3B-parameter Apache-2.0 diffusion transformer that generates directly in pixel space: no VAE and no latent, with 16x16 RGB patches, 2D RoPE and a frozen Qwen3-VL-4B text encoder read at eleven layers. Trained progressively up to about one megapixel. This entry is the base model sampled with the author's defaults (100 DPM-Solver++ steps, CFG 3.0).

Maker
Sperid Labs
Family
Iris-3B
Model Size
3B
high
Cost
local run; no API price
not_applicable
Run Target
gx10/iris-3b
Effective Request
response_format: b64_json · size: 1024x1024 · num_inference_steps: 100 · guidance_scale: 3 · seed: 7
52.6
Overall
53%
Capability
52.1
Est. Preference
102
Pass
90
Fail
180.3s
Avg Latency
179.0s
Min Latency
181.1s
Max Latency
Text Rendering60%Spatial Reasoning56%Human realism41%Truthfulness30%Professional Studio93%Graphical design46%Preference52%Latency0%

All 192 generations

Text Rendering60%

Typography Style100%

Writing accuracy50%

Spatial Reasoning56%

Attributes Binding56%

Compositionality78%

Counting44%

Negation56%

Relative Position58%

Scale & Proportions44%

Human realism40%

Faces & Expressions42%

Full Body8%

Hands75%

Multi-Subject33%

Truthfulness30%

Photorealism33%

Physics & Reflections33%

World Knowledge25%

Professional Studio93%

Camera & Lighting83%

Color Precision100%

Photorealism100%

Graphical design46%

Data Visualisation0%

Layout & Design22%

Style Diversity75%