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提交 360bfe5f 编写于 作者: T Ting Wang
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update benchmark 

Signed-off-by: NTing Wang <kathy.wangting@huawei.com>
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docs/source_en/benchmark.md
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<a href="https://gitee.com/mindspore/docs/blob/master/docs/source_en/benchmark.md" target="_blank"><img src="./_static/logo_source.png"></a> <a href="https://gitee.com/mindspore/docs/blob/master/docs/source_en/benchmark.md" target="_blank"><img src="./_static/logo_source.png"></a>
This document describes the MindSpore benchmarks. This document describes the MindSpore benchmarks.
For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo). For details about the MindSpore networks, see [Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo).
## Training Performance ## Training Performance
...@@ -32,7 +32,7 @@ For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee ...@@ -32,7 +32,7 @@ For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee
| Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup | | Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 16000 | 796892 samples/sec | - | | Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 16000 | 796892 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 16000*8 | 4872849 samples/sec | 0.76 | | | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 16000*8 | 4872849 samples/sec | 0.76 |
1. The preceding performance is obtained based on Atlas 800, and the model is data parallel. 1. The preceding performance is obtained based on Atlas 800, and the model is data parallel.
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| Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup | | Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 1000 | 68715 samples/sec | - | | Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 1000 | 68715 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 | | | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 |
| | | | | Ascend: 16 * Ascend 910 </br> CPU：384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 | | | | | | Ascend: 16 * Ascend 910 </br> CPU：384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 |
| | | | | Ascend: 32 * Ascend 910 </br> CPU：768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 | | | | | | Ascend: 32 * Ascend 910 </br> CPU：768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 |
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docs/source_zh_cn/benchmark.md
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<a href="https://gitee.com/mindspore/docs/blob/master/docs/source_zh_cn/benchmark.md" target="_blank"><img src="./_static/logo_source.png"></a> <a href="https://gitee.com/mindspore/docs/blob/master/docs/source_zh_cn/benchmark.md" target="_blank"><img src="./_static/logo_source.png"></a>
本文介绍MindSpore的基准性能。MindSpore预训练模型可参考[Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。 本文介绍MindSpore的基准性能。MindSpore网络定义可参考[Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo)。
## 训练性能 ## 训练性能
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| Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup | | Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 16000 | 796892 samples/sec | - | | Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 16000 | 796892 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 16000*8 | 4872849 samples/sec | 0.76 | | | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 16000*8 | 4872849 samples/sec | 0.76 |
1. 以上数据基于Atlas 800测试获得，且网络模型为数据并行。 1. 以上数据基于Atlas 800测试获得，且网络模型为数据并行。
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| Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup | | Network | Network Type | Dataset | MindSpore Version | Resource &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; | Precision | Batch Size | Throughput | Speedup |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 8000 | 68715 samples/sec | - | | Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910 </br> CPU：24 Cores | Mixed | 8000 | 68715 samples/sec | - |
| | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 | | | | | | Ascend: 8 * Ascend 910 </br> CPU：192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 |
| | | | | Ascend: 16 * Ascend 910 </br> CPU：384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 | | | | | | Ascend: 16 * Ascend 910 </br> CPU：384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 |
| | | | | Ascend: 32 * Ascend 910 </br> CPU：768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 | | | | | | Ascend: 32 * Ascend 910 </br> CPU：768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 |
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