m2 scikit learn apple

Apple M2 testing with a Apple MacBook Air (13 h M2 2022) and llvmpipe on Arch rolling via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2211216-NE-M2SCIKITL85
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a
November 20 2022
  1 Hour, 3 Minutes
b
November 20 2022
  3 Hours, 9 Minutes
c
November 21 2022
  1 Hour, 3 Minutes
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  1 Hour, 45 Minutes

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{ "title": "m2 scikit learn apple", "last_modified": "2022-11-21 06:30:56", "description": "Apple M2 testing with a Apple MacBook Air (13 h M2 2022) and llvmpipe on Arch rolling via the Phoronix Test Suite.", "systems": { "a": { "identifier": "a", "hardware": { "Processor": "Apple M2 @ 2.42GHz (4 Cores \/ 8 Threads)", "Motherboard": "Apple MacBook Air (13 h M2 2022)", "Memory": "8GB", "Disk": "251GB APPLE SSD AP0256Z + 2 x 0GB APPLE SSD AP0256Z", "Graphics": "llvmpipe", "Network": "Broadcom Device 4433 + Broadcom Device 5f71" }, "software": { "OS": "Arch rolling", "Kernel": "5.19.0-rc7-asahi-2-1-ARCH (aarch64)", "Desktop": "KDE Plasma 5.25.4", "Display Server": "X Server 1.21.1.4", "OpenGL": "4.5 Mesa 22.1.6 (LLVM 14.0.6 128 bits)", "Compiler": "GCC 12.1.0 + Clang 14.0.6", "File-System": "ext4", "Screen Resolution": "2560x1600" }, "user": "phoronix", "timestamp": "2022-11-20 18:24:39", "client_version": "10.8.4", "data": { "cpu-scaling-governor": "apple-cpufreq schedutil", "python": "Python 3.10.5", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } }, "b": { "identifier": "b", "hardware": { "Processor": "Apple M2 @ 2.42GHz (4 Cores \/ 8 Threads)", "Motherboard": "Apple MacBook Air (13 h M2 2022)", "Memory": "8GB", "Disk": "251GB APPLE SSD AP0256Z + 2 x 0GB APPLE SSD AP0256Z", "Graphics": "llvmpipe", "Network": "Broadcom Device 4433 + Broadcom Device 5f71" }, "software": { "OS": "Arch rolling", "Kernel": "5.19.0-rc7-asahi-2-1-ARCH (aarch64)", "Desktop": "KDE Plasma 5.25.4", "Display Server": "X Server 1.21.1.4", "OpenGL": "4.5 Mesa 22.1.6 (LLVM 14.0.6 128 bits)", "Compiler": "GCC 12.1.0 + Clang 14.0.6", "File-System": "ext4", "Screen Resolution": "2560x1600" }, "user": "phoronix", "timestamp": "2022-11-20 19:30:29", "client_version": "10.8.4", "data": { "cpu-scaling-governor": "apple-cpufreq schedutil", "python": "Python 3.10.5", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } }, "c": { "identifier": "c", "hardware": { "Processor": "Apple M2 @ 2.42GHz (4 Cores \/ 8 Threads)", "Motherboard": "Apple MacBook Air (13 h M2 2022)", "Memory": "8GB", "Disk": "251GB APPLE SSD AP0256Z + 2 x 0GB APPLE SSD AP0256Z", "Graphics": "llvmpipe", "Network": "Broadcom Device 4433 + Broadcom Device 5f71" }, "software": { "OS": "Arch rolling", "Kernel": "5.19.0-rc7-asahi-2-1-ARCH (aarch64)", "Desktop": "KDE Plasma 5.25.4", "Display Server": "X Server 1.21.1.4", "OpenGL": "4.5 Mesa 22.1.6 (LLVM 14.0.6 128 bits)", "Compiler": "GCC 12.1.0 + Clang 14.0.6", "File-System": "ext4", "Screen Resolution": "2560x1600" }, "user": "phoronix", "timestamp": "2022-11-21 05:21:58", "client_version": "10.8.4", "data": { "cpu-scaling-governor": "apple-cpufreq schedutil", "python": "Python 3.10.5", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } } }, "results": { "70143d80dd8c14305561366e5ba9f3f1d191eede": { "identifier": "pts\/scikit-learn-1.2.0", "title": "Scikit-Learn", "app_version": "1.1.3", "arguments": "tsne_mnist.py", "description": "Benchmark: TSNE MNIST Dataset", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 103.9260000000000019326762412674725055694580078125, "test_run_times": [ 103.93000000000000682121026329696178436279296875 ] }, "b": { "value": 103.231999999999999317878973670303821563720703125, "raw_values": [ 103.0619999999999976125764078460633754730224609375, 103.31499999999999772626324556767940521240234375, 103.3190000000000026147972675971686840057373046875 ], "test_run_times": [ 103.06000000000000227373675443232059478759765625, 103.31000000000000227373675443232059478759765625, 103.31999999999999317878973670303821563720703125 ] }, "c": { "value": 106.763000000000005229594535194337368011474609375, "test_run_times": [ 106.7600000000000051159076974727213382720947265625 ] } } }, "a0107a111b78c4a15af276914c01f8f3839004af": { "identifier": "pts\/scikit-learn-1.2.0", "title": "Scikit-Learn", "app_version": "1.1.3", "arguments": "mnist.py", "description": "Benchmark: MNIST Dataset", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 246.4859999999999899955582804977893829345703125, "test_run_times": [ 246.490000000000009094947017729282379150390625 ] }, "b": { "value": 246.9180000000000063664629124104976654052734375, "raw_values": [ 246.2930000000000063664629124104976654052734375, 248.3220000000000027284841053187847137451171875, 246.1390000000000100044417195022106170654296875 ], "test_run_times": [ 246.289999999999992041921359486877918243408203125, 248.31999999999999317878973670303821563720703125, 246.1399999999999863575794734060764312744140625 ] }, "c": { "value": 248.18000000000000682121026329696178436279296875, "test_run_times": [ 248.18000000000000682121026329696178436279296875 ] } } }, "7f81b0019f261cac1e1a9ced5461ef2b7a2b2b58": { "identifier": "pts\/scikit-learn-1.2.0", "title": "Scikit-Learn", "app_version": "1.1.3", "arguments": "random_projections.py --n-times 100", "description": "Benchmark: Sparse Random Projections, 100 Iterations", "scale": "Seconds", "proportion": "LIB", 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