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20 changes: 10 additions & 10 deletions benchmarks/README.md
Original file line number Diff line number Diff line change
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# Vollo Model Zoo Benchmarks (version 27.0.0)
# Vollo Model Zoo Benchmarks (version 27.0.1)

Compute latency for an approximately 1-million parameter model.

Expand All @@ -8,8 +8,8 @@ Note: These latencies are from a (near cycle-accurate) software model but withou

| Model | Latency (us) | Latency contiguous (us) | Metadata |
| ----- | ------------ | ------------------------ | -------- |
| wavenet | 2.64 | 2.76 | layers=4, blocks=1, hidden=198 |
| tcn | 1.14 | 1.52 | inputs=1, kernel=3, channels=[256, 256, 256] |
| wavenet | 2.60 | 2.70 | layers=4, blocks=1, hidden=198 |
| tcn | 1.12 | 1.51 | inputs=1, kernel=3, channels=[256, 256, 256] |
| ssm | 0.81 | 0.89 | dim=576, hidden=448 |
| slp | 0.86 | 0.87 | input=1024, output=1024, activation=ReLU |
| resmlp | 6.83 | 6.83 | dim=160, patches=9, layers=5, activation=ReLU |
Expand All @@ -28,8 +28,8 @@ Note: These latencies are from a (near cycle-accurate) software model but withou

| Model | Latency (us) | Latency contiguous (us) | Metadata |
| ----- | ------------ | ------------------------ | -------- |
| wavenet | 2.90 | 3.04 | layers=4, blocks=1, hidden=198 |
| tcn | 1.25 | 1.67 | inputs=1, kernel=3, channels=[256, 256, 256] |
| wavenet | 2.86 | 2.97 | layers=4, blocks=1, hidden=198 |
| tcn | 1.24 | 1.66 | inputs=1, kernel=3, channels=[256, 256, 256] |
| ssm | 0.89 | 0.98 | dim=576, hidden=448 |
| slp | 0.95 | 0.95 | input=1024, output=1024, activation=ReLU |
| resmlp | 7.51 | 7.52 | dim=160, patches=9, layers=5, activation=ReLU |
Expand All @@ -48,8 +48,8 @@ Note: These latencies are from a (near cycle-accurate) software model but withou

| Model | Latency (us) | Latency contiguous (us) | Metadata |
| ----- | ------------ | ------------------------ | -------- |
| wavenet | 3.06 | 3.12 | layers=4, blocks=1, hidden=198 |
| tcn | 1.31 | 1.70 | inputs=1, kernel=3, channels=[256, 256, 256] |
| wavenet | 3.02 | 3.13 | layers=4, blocks=1, hidden=198 |
| tcn | 1.30 | 1.70 | inputs=1, kernel=3, channels=[256, 256, 256] |
| ssm | 0.87 | 0.96 | dim=576, hidden=448 |
| slp | 0.91 | 0.91 | input=1024, output=1024, activation=ReLU |
| resmlp | 12.40 | 12.40 | dim=160, patches=9, layers=5, activation=ReLU |
Expand Down Expand Up @@ -82,14 +82,14 @@ Note: These latencies are from a (near cycle-accurate) software model but withou
| lstm | 0.59 | 0.61 | layers=2, hidden_size=250 |
| gru | 0.70 | 1.09 | fp32=False, input=512, hidden=384, layers=1 |
| ffn-swiglu | 1.23 | 1.24 | dim=288, hidden=1152, activation=SwiGLU, fused=True |
| cnn | 1.61 | 3.07 | layers=4, channels=64, kernel_size=64 |
| cnn | 1.61 | 3.06 | layers=4, channels=64, kernel_size=64 |

## Configuration: IA-420f

| Model | Latency (us) | Latency contiguous (us) | Metadata |
| ----- | ------------ | ------------------------ | -------- |
| wavenet | 3.06 | 3.12 | layers=4, blocks=1, hidden=198 |
| tcn | 1.31 | 1.70 | inputs=1, kernel=3, channels=[256, 256, 256] |
| wavenet | 3.02 | 3.13 | layers=4, blocks=1, hidden=198 |
| tcn | 1.30 | 1.70 | inputs=1, kernel=3, channels=[256, 256, 256] |
| ssm | 0.87 | 0.96 | dim=576, hidden=448 |
| slp | 0.91 | 0.91 | input=1024, output=1024, activation=ReLU |
| resmlp | 12.40 | 12.40 | dim=160, patches=9, layers=5, activation=ReLU |
Expand Down
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