diff --git a/docs/source_en/benchmark.md b/docs/source_en/benchmark.md index bd1b0becf3bb60a93eb5562eed374e6b22f55063..7524dc87001a50bbbe7bf88bcc372159a25218eb 100644 --- a/docs/source_en/benchmark.md +++ b/docs/source_en/benchmark.md @@ -3,7 +3,7 @@ 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 @@ -32,7 +32,7 @@ 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 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - | +| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - | | | | | | Ascend: 8 * Ascend 910
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. @@ -42,7 +42,7 @@ 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 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 1000 | 68715 samples/sec | - | +| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 1000 | 68715 samples/sec | - | | | | | | Ascend: 8 * Ascend 910
CPU:192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 | | | | | | Ascend: 16 * Ascend 910
CPU:384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 | | | | | | Ascend: 32 * Ascend 910
CPU:768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 | diff --git a/docs/source_zh_cn/benchmark.md b/docs/source_zh_cn/benchmark.md index 1f4833f0c63fc274323bf0d5483d6690b38cf1b4..66dc0df11036064e2bbe18c4c16c19bd5af7213d 100644 --- a/docs/source_zh_cn/benchmark.md +++ b/docs/source_zh_cn/benchmark.md @@ -2,7 +2,7 @@ -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 @@ -31,7 +31,7 @@ | Network | Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput | Speedup | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - | +| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 16000 | 796892 samples/sec | - | | | | | | Ascend: 8 * Ascend 910
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。 @@ -41,7 +41,7 @@ | Network | Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput | Speedup | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| Wide & Deep | Recommend | Criteo | 0.6.0 | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 8000 | 68715 samples/sec | - | +| Wide & Deep | Recommend | Criteo | 0.6.0-beta | Ascend: 1 * Ascend 910
CPU:24 Cores | Mixed | 8000 | 68715 samples/sec | - | | | | | | Ascend: 8 * Ascend 910
CPU:192 Cores | Mixed | 8000*8 | 283830 samples/sec | 0.51 | | | | | | Ascend: 16 * Ascend 910
CPU:384 Cores | Mixed | 8000*16 | 377848 samples/sec | 0.34 | | | | | | Ascend: 32 * Ascend 910
CPU:768 Cores | Mixed | 8000*32 | 433423 samples/sec | 0.20 |