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350+ AI Models.Validated. Transparent.
No tricks, no substitutions. Every benchmark runs the complete network graph with validated accuracy. See the source code, intermediate representations, and full results.
350+
Curated Models
Fully validated with accuracy metrics
6
Model Categories
CNNs, ViTs, LLMs, Detectors, Segmenters & more
100%
Source Access
Full end-to-end graphs, no substitutions
Sample Network Benchmarks
Click on a network to see detailed performance metrics and cycle counts.
Multicore
| Network | FPS | Cores |
|---|---|---|
| ResNet-50 | 1,330 FPS | 1 |
Image Classification
| Network | QC-U |
|---|---|
| MobileNetV2-Asymmetric | 4,662 FPS |
Transformers Broke Your Legacy NPU
Most NPU accelerators were optimized for ResNet-style networks—simple, repetitive convolutions stacked in sequence. Modern AI looks completely different.
What Legacy NPUs Were Built For
+12 more layers
ResNets (2018-2020)
Simple, repetitive 3×3 convolutions. Fixed dataflow patterns.
What Modern AI Requires
Transformers (2023+)
Multi-head attention, LayerNorm, MatMul. Complex branching graphs.
ResNets to Transformers. Transformers to what's next.AI architectures keep evolving.
Legacy NPUs
Fixed architectures optimized for yesterday's models. Break with every major AI shift.
Chimera GPNPU
Fully programmable. Runs any operator, any graph. Ready for whatever comes next.
Continuously Expanding Coverage
Our benchmark library grows every quarter with new models across all categories—from classic CNNs to cutting-edge vision transformers and language models.
Validated Accuracy
Every model tested against reference implementations
Full Source Code
Access intermediate code and complete network graphs
Quarterly Updates
New models added as the AI landscape evolves.