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MapIdTransform Workload Latency Comparison

0.039PyTorch Latency (ms)PyTorch
-0.283041.890734.06456.23827Dec 29, 2025

Evaluation results

MethodLinks
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 20002025.120.039——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 40002025.120.046——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 60002025.120.049——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 80002025.120.053——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=5000 × 100002025.120.06——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=100 × 100002025.120.061——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=500 × 100002025.120.063——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=1000 × 100002025.120.063——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 100002025.120.063——
PyTorchAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 500002025.120.14——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 20002025.120.399——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 40002025.120.72——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 60002025.121.046——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 80002025.121.367——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=100 × 100002025.121.623——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=500 × 100002025.121.636——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=1000 × 100002025.121.641——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=5000 × 100002025.121.667——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 100002025.121.688——
PyTorchAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 500002025.128.09——
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=100 × 100002025.12—0.4663.48
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=500 × 100002025.12—0.4723.47
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=1000 × 100002025.12—0.483.42
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=5000 × 100002025.12—0.5083.28
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 20002025.12—0.5140.78
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 40002025.12—0.5211.38
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 60002025.12—0.5232
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 80002025.12—0.522.63
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 100002025.12—0.5233.23
KernelEvolveAI Hardware=MTIA v2i, Tensor Shape (UniqueIDs × Batch)=10000 × 500002025.12—1.9894.07
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=100 × 100002025.12—0.0581.05
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=500 × 100002025.12—0.0551.15
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=1000 × 100002025.12—0.051.26
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=5000 × 100002025.12—0.0481.25
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 20002025.12—0.0351.11
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 40002025.12—0.0361.28
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 60002025.12—0.0371.32
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 80002025.12—0.0391.36
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 100002025.12—0.0481.31
KernelEvolveAI Hardware=MTIA v3, Tensor Shape (UniqueIDs × Batch)=10000 × 500002025.12—0.1740.8