From 594938f011f062dd9600ca9f710c3bd3bb2c63f3 Mon Sep 17 00:00:00 2001 From: Ting Wang Date: Tue, 30 Jun 2020 09:55:31 +0800 Subject: [PATCH] update benchmark of resnet Signed-off-by: Ting Wang --- docs/source_en/benchmark.md | 8 ++++---- docs/source_zh_cn/benchmark.md | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/source_en/benchmark.md b/docs/source_en/benchmark.md index fd02b194..13a2238d 100644 --- a/docs/source_en/benchmark.md +++ b/docs/source_en/benchmark.md @@ -9,11 +9,11 @@ For details about the MindSpore pre-trained model, see [Model Zoo](https://gitee ### ResNet -| Network | Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput | Speedup | +| Network | Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput | Speedup | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| ResNet-50 v1.5 | CNN | ImageNet2012 | 0.2.0-alpha | Ascend: 1 * Ascend 910
CPU：24 Cores | Mixed | 32 | 1787 images/sec | - | -| | | | | Ascend: 8 * Ascend 910
CPU：192 Cores | Mixed | 32 | 13689 images/sec | 0.95 | -| | | | | Ascend: 16 * Ascend 910
CPU：384 Cores | Mixed | 32 | 27090 images/sec | 0.94 | +| ResNet-50 v1.5 | CNN | ImageNet2012 | 0.5.0-beta | Ascend: 1 * Ascend 910
CPU：24 Cores | Mixed | 256 | 2115 images/sec | - | +| | | | | Ascend: 8 * Ascend 910
CPU：192 Cores | Mixed | 256 | 16600 images/sec | 0.98 | +| | | | | Ascend: 16 * Ascend 910
CPU：384 Cores | Mixed | 256 | 32768 images/sec | 0.96 | 1. The preceding performance is obtained based on ModelArts, the HUAWEI CLOUD AI development platform. It is the average performance obtained by the Ascend 910 AI processor during the overall training process. 2. For details about other open source frameworks, see [ResNet-50 v1.5 for TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/RN50v1.5#nvidia-dgx-2-16x-v100-32g). diff --git a/docs/source_zh_cn/benchmark.md b/docs/source_zh_cn/benchmark.md index 3329170a..e401cfde 100644 --- a/docs/source_zh_cn/benchmark.md +++ b/docs/source_zh_cn/benchmark.md @@ -8,11 +8,11 @@ ### ResNet -| Network | Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput | Speedup | +| Network | Network Type | Dataset | MindSpore Version | Resource                 | Precision | Batch Size | Throughput | Speedup | | --- | --- | --- | --- | --- | --- | --- | --- | --- | -| ResNet-50 v1.5 | CNN | ImageNet2012 | 0.2.0-alpha | Ascend: 1 * Ascend 910
CPU：24 Cores | Mixed | 32 | 1787 images/sec | - | -| | | | | Ascend: 8 * Ascend 910
CPU：192 Cores | Mixed | 32 | 13689 images/sec | 0.95 | -| | | | | Ascend: 16 * Ascend 910
CPU：384 Cores | Mixed | 32 | 27090 images/sec | 0.94 | +| ResNet-50 v1.5 | CNN | ImageNet2012 | 0.5.0-beta | Ascend: 1 * Ascend 910
CPU：24 Cores | Mixed | 256 | 2115 images/sec | - | +| | | | | Ascend: 8 * Ascend 910
CPU：192 Cores | Mixed | 256 | 16600 images/sec | 0.98 | +| | | | | Ascend: 16 * Ascend 910
CPU：384 Cores | Mixed | 256 | 32768 images/sec | 0.96 | 1. 以上数据基于华为云AI开发平台ModelArts测试获得，是训练过程整体下沉至Ascend 910 AI处理器执行所得的平均性能。 2. 业界其他开源框架数据可参考：[ResNet-50 v1.5 for TensorFlow](https://github.com/NVIDIA/DeepLearningExamples/tree/master/TensorFlow/Classification/RN50v1.5#nvidia-dgx-2-16x-v100-32g)。 -- GitLab