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Henry BarnesClaude Opus 4.6
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Specify Catalyst N2 in benchmark results tables
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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README.md

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@@ -8,7 +8,7 @@ Official benchmark suite for [Catalyst neuromorphic processors](https://catalyst
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All results are reproducible. Clone, install, train, deploy.
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## Results
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## Results — Catalyst N2
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| Benchmark | Classes | Architecture | Neuron | Float Acc | Params | Beats |
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|-----------|---------|-------------|--------|-----------|--------|-------|
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| **GSC KWS** | 12 | 40→512→12 (rec, S2S) | adLIF | **88.0%** | 291K ||
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| **DVS Gesture** | 11 ||| *in progress* |||
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All results are reproducible from this repo. See `results.json` for machine-readable results with full training configs.
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All models are trained using the Catalyst N2 neuron models (LIF/adLIF) and deploy to Catalyst N2 FPGA hardware via int16 weight quantization. See `results.json` for machine-readable results with full training configs.
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## Competitive Context
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| Benchmark | Catalyst | Loihi 1 | Loihi 2 | Akida 2 | SpiNNaker 2 |
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|-----------|----------|---------|---------|---------|-------------|
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| Benchmark | Catalyst N2 | Loihi 1 | Loihi 2 | Akida 2 | SpiNNaker 2 |
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|-----------|-------------|---------|---------|---------|-------------|
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| SHD | **90.7%** | 89.0% | 90.9% |||
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| SSC | **72.1%** || 69.8% |||
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| N-MNIST | **99.2%** | 99.5% ||||

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