{"id":17987860,"url":"https://github.com/hollance/bnns-vs-mpscnn","last_synced_at":"2025-03-25T22:32:42.336Z","repository":{"id":138080612,"uuid":"81222926","full_name":"hollance/BNNS-vs-MPSCNN","owner":"hollance","description":"Compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders","archived":false,"fork":false,"pushed_at":"2017-02-07T15:28:18.000Z","size":121,"stargazers_count":60,"open_issues_count":0,"forks_count":11,"subscribers_count":8,"default_branch":"master","last_synced_at":"2024-06-07T08:32:27.726Z","etag":null,"topics":["accelerate","deep-learning","ios","metal","neural-network"],"latest_commit_sha":null,"homepage":null,"language":"Swift","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hollance.png","metadata":{"files":{"readme":"README.markdown","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2017-02-07T15:26:34.000Z","updated_at":"2023-05-19T06:44:56.000Z","dependencies_parsed_at":"2024-01-14T02:32:56.716Z","dependency_job_id":"6d13fc43-553b-4828-bca5-e52a92fcfadd","html_url":"https://github.com/hollance/BNNS-vs-MPSCNN","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hollance%2FBNNS-vs-MPSCNN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hollance%2FBNNS-vs-MPSCNN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hollance%2FBNNS-vs-MPSCNN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hollance%2FBNNS-vs-MPSCNN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hollance","download_url":"https://codeload.github.com/hollance/BNNS-vs-MPSCNN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":222099620,"owners_count":16931453,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["accelerate","deep-learning","ios","metal","neural-network"],"created_at":"2024-10-29T19:09:56.408Z","updated_at":"2024-10-29T19:09:56.527Z","avatar_url":"https://github.com/hollance.png","language":"Swift","funding_links":[],"categories":[],"sub_categories":[],"readme":"# BNNS vs Metal CNN benchmark\n\nThis app compares the speed of Apple's two deep learning frameworks: BNNS and Metal Performance Shaders (MPSCNN).\n\nIt creates a basic convolutional neural network with 2 convolutional layers, 2 pooling layers, and a fully-connected layer. Then it measures how long it takes to sends the same image 100 times through the network.\n\nTo run the app you need Xcode 8 and an iOS 10-compatible device with at least an A8 processor.\n\nSee also the [blog post](http://machinethink.net/blog/apple-deep-learning-bnns-versus-metal-cnn/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhollance%2Fbnns-vs-mpscnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhollance%2Fbnns-vs-mpscnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhollance%2Fbnns-vs-mpscnn/lists"}