diff --git a/docs/source_en/benchmark.md b/docs/source_en/benchmark.md index 6c541a6755ab8ebc991e5be75c745cef167c454e..8c75c4503bf925d401d60dd99ad993b20fc924c1 100644 --- a/docs/source_en/benchmark.md +++ b/docs/source_en/benchmark.md @@ -22,8 +22,8 @@ For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee | Network | Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput | Speedup | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| BERT-Large | Attention | zhwiki | 0.2.0-alpha | Ascend: 1 * Ascend 910
CPU：24 Cores | Mixed | 96 | 210 sentences/sec | - | -| | | | | Ascend: 8 * Ascend 910
CPU：192 Cores | Mixed | 96 | 1613 sentences/sec | 0.96 | +| BERT-Large | Attention | zhwiki | 0.2.0-alpha | Ascend: 1 * Ascend 910
CPU：24 Cores | Mixed | 96 | 269 sentences/sec | - | +| | | | | Ascend: 8 * Ascend 910
CPU：192 Cores | Mixed | 96 | 2069 sentences/sec | 0.96 | 1. The preceding performance is obtained based on ModelArts, the HUAWEI CLOUD AI development platform. The network contains 24 hidden layers, the sequence length is 128 tokens, and the vocabulary contains 21128 tokens. 2. For details about other open source frameworks, see [BERT For TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/LanguageModeling/BERT). \ No newline at end of file