MBP M1 Max Machine Learning, sys76-kudu-ML

Apple M1 Max testing with a Apple MacBook Pro and Apple M1 Max on macOS 12.1 via the Phoronix Test Suite.

sys76-kudu-ML: AMD Ryzen 9 5900HX testing with a System76 Kudu (1.07.09RSA1 BIOS) and AMD Cezanne on Pop 21.10 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 2202161-NE-MBPM1MAXM40
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
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MBP M1 Max Machine Learning
February 16 2022
  6 Hours, 21 Minutes
ML Tests
February 15 2022
  7 Hours, 15 Minutes
Invert Hiding All Results Option
  6 Hours, 48 Minutes
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{ "title": "MBP M1 Max Machine Learning, sys76-kudu-ML", "last_modified": "2022-02-16 16:01:39", "description": "Apple M1 Max testing with a Apple MacBook Pro and Apple M1 Max on macOS 12.1 via the Phoronix Test Suite.\n\nsys76-kudu-ML: AMD Ryzen 9 5900HX testing with a System76 Kudu (1.07.09RSA1 BIOS) and AMD Cezanne on Pop 21.10 via the Phoronix Test Suite.", "systems": { "MBP M1 Max Machine Learning": { "identifier": "MBP M1 Max Machine Learning", "hardware": { "Processor": "Apple M1 Max (10 Cores)", "Motherboard": "Apple MacBook Pro", "Memory": "64GB", "Disk": "1859GB", "Graphics": "Apple M1 Max", "Monitor": "Color LCD" }, "software": { "OS": "macOS 12.1", "Kernel": "21.2.0 (arm64)", "OpenCL": "OpenCL 1.2 (Nov 13 2021 00:45:09)", "Compiler": "GCC 13.0.0 + Clang 13.0.0", "File-System": "APFS", "Screen Resolution": "3456x2234" }, "user": "chrisf", "timestamp": "2022-02-16 14:41:37", "client_version": "10.8.2", "data": { "environment-variables": "XPC_FLAGS=0x0", "python": "Python 2.7.18 + Python 3.8.9" } }, "ML Tests": { "identifier": "ML Tests", "hardware": { "Processor": "AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores \/ 16 Threads)", "Motherboard": "System76 Kudu (1.07.09RSA1 BIOS)", "Chipset": "AMD Renoir\/Cezanne", "Memory": "16GB", "Disk": "Samsung SSD 970 EVO Plus 500GB", "Graphics": "AMD Cezanne (2100\/400MHz)", "Audio": "AMD Renoir Radeon HD Audio", "Network": "Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200" }, "software": { "OS": "Pop 21.10", "Kernel": "5.15.15-76051515-generic (x86_64)", "Desktop": "GNOME Shell 40.5", "Display Server": "X Server 1.20.13", "OpenGL": "4.6 Mesa 21.2.2 (LLVM 12.0.1)", "Vulkan": "1.2.182", "Compiler": "GCC 11.2.0", "File-System": "ext4", "Screen Resolution": "1920x1080" }, "user": "chrisf", "timestamp": "2022-02-15 18:57:17", "client_version": "10.8.2", "data": { "compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=\/build\/gcc-11-ZPT0kp\/gcc-11-11.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-11-ZPT0kp\/gcc-11-11.2.0\/debian\/tmp-gcn\/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v", "cpu-scaling-governor": "acpi-cpufreq schedutil (Boost: Enabled)", "cpu-microcode": "0xa50000c", "graphics-2d-acceleration": "GLAMOR", "bar1-visible-vram": "512 MB", "kernel-extra-details": "Transparent Huge Pages: madvise", "python": "Python 3.9.7", "security": "itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected" } } }, "results": { "122a328f33341df04a1a5fb40e4525857cac08be": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=f32 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 1.189999999999999946709294817992486059665679931640625, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "value": 4.2585499999999996134647517465054988861083984375, "raw_values": [ 4.17739999999999955804241835721768438816070556640625, 4.422109999999999985220711096189916133880615234375, 4.35686999999999979849008013843558728694915771484375, 4.147529999999999716919774073176085948944091796875, 4.20450000000000034816594052244909107685089111328125, 4.2219899999999999096189640113152563571929931640625, 4.27944000000000013272938303998671472072601318359375 ], "min_result": [ "3.88" ], "test_run_times": [ 15.1400000000000005684341886080801486968994140625, 15.1099999999999994315658113919198513031005859375, 15.1099999999999994315658113919198513031005859375, 15.1099999999999994315658113919198513031005859375, 15.1199999999999992184029906638897955417633056640625, 15.1099999999999994315658113919198513031005859375, 15.0999999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "b3f85fb1447d5c26415525d50cb84e1d3f109399": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=f32 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "value": 12.0925999999999991274535204865969717502593994140625, "raw_values": [ 12.059200000000000585487214266322553157806396484375, 12.0775000000000005684341886080801486968994140625, 12.1410000000000000142108547152020037174224853515625 ], "min_result": [ "11.92" ], "test_run_times": [ 9.28999999999999914734871708787977695465087890625, 9.28999999999999914734871708787977695465087890625, 9.300000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "a1109653799c2a426be406810ad457dac49e3134": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=u8s8f32 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "value": 1.6298500000000000209610107049229554831981658935546875, "raw_values": [ 1.6116699999999999359800995080149732530117034912109375, 1.641329999999999955662133288569748401641845703125, 1.6365600000000000147082346302340738475322723388671875 ], "min_result": [ "1.49" ], "test_run_times": [ 15.0800000000000000710542735760100185871124267578125, 15.07000000000000028421709430404007434844970703125, 15.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "8fa2d8c54bce4215b4b901e88ca19e98e0d95359": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=u8s8f32 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "value": 2.692099999999999937472239253111183643341064453125, "raw_values": [ 2.696509999999999962483343551866710186004638671875, 2.689439999999999830748720341944135725498199462890625, 2.6903600000000000846966941026039421558380126953125 ], "min_result": [ "2.57" ], "test_run_times": [ 9.230000000000000426325641456060111522674560546875, 9.2200000000000006394884621840901672840118408203125, 9.21000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "ff41d6b2ca572eee8388a7a39ec38fce8eeab3f1": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.0200000000000000004163336342344337026588618755340576171875, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" }, "error": "The test run did not produce a result. The test run did not produce a result. The test run did not produce a result." } } } }, "3ebc08f1632a997c2d4096ce33c3037d73f0010e": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" }, "error": "The test run did not produce a result. The test run did not produce a result. The test run did not produce a result." } } } }, "b985cabe3a95170e0ad621ace9c6a145d60bd49a": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=f32 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "value": 22.79260000000000019326762412674725055694580078125, "raw_values": [ 22.758500000000001506350599811412394046783447265625, 22.859300000000001062971932697109878063201904296875, 22.759899999999998243538357201032340526580810546875 ], "min_result": [ "21.94" ], "test_run_times": [ 6.269999999999999573674358543939888477325439453125, 6.2599999999999997868371792719699442386627197265625, 6.269999999999999573674358543939888477325439453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "0e6aec1edabc9355255fd369efefb250e54fa125": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --cfg=f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "value": 8.34788999999999958845364744774997234344482421875, "raw_values": [ 8.2982999999999993434585121576674282550811767578125, 8.39677999999999968849806464277207851409912109375, 8.3485800000000001119815351557917892932891845703125 ], "min_result": [ "4.75" ], "test_run_times": [ 21.089999999999999857891452847979962825775146484375, 21.0799999999999982946974341757595539093017578125, 21.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "c6537ae4b209a5dcc398d287f84d05b3b81aa4b6": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --cfg=f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onednn: line 6: .\/benchdnn: No such file or directory" } }, "ML Tests": { "value": 6.74558999999999997498889570124447345733642578125, "raw_values": [ 6.72660999999999997811528373858891427516937255859375, 6.7494899999999997675104168592952191829681396484375, 6.7606599999999996697397364187054336071014404296875 ], "min_result": [ "6.52" ], "test_run_times": [ 3.04999999999999982236431605997495353221893310546875, 3.04999999999999982236431605997495353221893310546875, 3.04000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "7d4b51bd744f2cf013fa6ea78a2d27ef34d55f2e": { "identifier": "pts\/onednn-1.7.0", "title": "oneDNN", "app_version": "2.1.2", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=u8s8f32 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "MBP M1 Max Machine Learning": { "test_run_times": [ 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375, 0.01000000000000000020816681711721685132943093776702880859375 ], "details": { "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. 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The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: .\/openvino: line 2: .\/openvino-github-2021\/bin\/intel64\/Release\/benchmark_app: No such file or directory" } } } }, "0ab6893d03032537d0c3b9e7cfa51380d902b4b0": { "identifier": "pts\/ecp-candle-1.1.0", "title": "ECP-CANDLE", "app_version": "0.4", "arguments": "P1B2", "description": "Benchmark: P1B2", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 37.50999999999999801048033987171947956085205078125, "test_run_times": [ 37.50999999999999801048033987171947956085205078125 ] } } }, "784b2256ba16b03fd1ed0346f969767fb14f12da": { "identifier": "pts\/ecp-candle-1.1.0", "title": "ECP-CANDLE", "app_version": "0.4", "arguments": "P3B1", "description": "Benchmark: P3B1", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 1463.721999999999979991116560995578765869140625, "test_run_times": [ 1463.720000000000027284841053187847137451171875 ] } } }, "aa599b9ca22f592b874b83447a00bad8daf8df13": { "identifier": "pts\/ecp-candle-1.1.0", "title": "ECP-CANDLE", "app_version": "0.4", "arguments": "P3B2", "description": "Benchmark: P3B2", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 730.7359999999999899955582804977893829345703125, "test_run_times": [ 730.740000000000009094947017729282379150390625 ] } } }, "6da6b09e8df7dbffd8bc61a5a389f630a008e6f3": { "identifier": "pts\/onnx-1.3.0", "title": "ONNX Runtime", "app_version": "1.10", "arguments": "yolov4\/yolov4.onnx -e cpu", "description": "Model: yolov4 - Device: CPU", "scale": "Inferences Per Minute", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "test_run_times": [ 0.05000000000000000277555756156289135105907917022705078125, 0.0299999999999999988897769753748434595763683319091796875, 0.0299999999999999988897769753748434595763683319091796875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt" }, "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime\/onnxruntime\/test\/onnx\/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file \"yolov4\/yolov4.onnx\" failed: No such file or directory" } } } }, "1934214642cdc2dfbd31424cb41af4d7455dc15e": { "identifier": "pts\/onnx-1.3.0", "title": "ONNX Runtime", "app_version": "1.10", "arguments": "fcn-resnet101-11\/model.onnx -e cpu", "description": "Model: fcn-resnet101-11 - Device: CPU", "scale": "Inferences Per Minute", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "test_run_times": [ 0.0299999999999999988897769753748434595763683319091796875, 0.0299999999999999988897769753748434595763683319091796875, 0.0299999999999999988897769753748434595763683319091796875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt" }, "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime\/onnxruntime\/test\/onnx\/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file \"fcn-resnet101-11\/model.onnx\" failed: No such file or directory" } } } }, "57ccc459d2b968bbe0b59791535550f3c44146e5": { "identifier": "pts\/onnx-1.3.0", "title": "ONNX Runtime", "app_version": "1.10", "arguments": "model\/test_shufflenetv2\/model.onnx -e cpu", "description": "Model: shufflenet-v2-10 - Device: CPU", "scale": "Inferences Per Minute", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "test_run_times": [ 0.0299999999999999988897769753748434595763683319091796875, 0.0299999999999999988897769753748434595763683319091796875, 0.0299999999999999988897769753748434595763683319091796875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt" }, "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime\/onnxruntime\/test\/onnx\/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file \"model\/test_shufflenetv2\/model.onnx\" failed: No such file or directory" } } } }, "25093c2395a44dd48770613bc25c2b5e932fa9b3": { "identifier": "pts\/onnx-1.3.0", "title": "ONNX Runtime", "app_version": "1.10", "arguments": "super_resolution\/super_resolution.onnx -e cpu", "description": "Model: super-resolution-10 - Device: CPU", "scale": "Inferences Per Minute", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "test_run_times": [ 0.0299999999999999988897769753748434595763683319091796875, 0.0299999999999999988897769753748434595763683319091796875, 0.0299999999999999988897769753748434595763683319091796875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt" }, "error": "The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: onnxruntime\/onnxruntime\/test\/onnx\/onnx_model_info.cc:45 void OnnxModelInfo::InitOnnxModelInfo(const PATH_CHAR_TYPE*) open file \"super_resolution\/super_resolution.onnx\" failed: No such file or directory" } } } }, "082e91ee6f9fd09c616b9f84f2ff189d752ff466": { "identifier": "pts\/mlpack-1.0.2", "title": "Mlpack Benchmark", "arguments": "SCIKIT_ICA", "description": "Benchmark: scikit_ica", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 48.39999999999999857891452847979962825775146484375, "raw_values": [ 48.62524271011400145425795926712453365325927734375, 48.20602369308500101396930404007434844970703125, 48.3630189895630024921047152020037174224853515625 ], "test_run_times": [ 51.39999999999999857891452847979962825775146484375, 50.719999999999998863131622783839702606201171875, 50.89999999999999857891452847979962825775146484375 ] } } }, "a4ef571508e0145a960b428b4500ad810557312e": { "identifier": "pts\/mlpack-1.0.2", "title": "Mlpack Benchmark", "arguments": "SCIKIT_QDA", "description": "Benchmark: scikit_qda", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 65.68999999999999772626324556767940521240234375, "raw_values": [ 65.696218013763001408733543939888477325439453125, 65.6326816082000021879139239899814128875732421875, 65.7387859821320006403766456060111522674560546875 ], "test_run_times": [ 105.090000000000003410605131648480892181396484375, 104.900000000000005684341886080801486968994140625, 105.3599999999999994315658113919198513031005859375 ] } } }, "d99f55e37cf79cb02f548b43c73d0851e1d39fea": { "identifier": "pts\/mlpack-1.0.2", "title": "Mlpack Benchmark", "arguments": "SCIKIT_SVM", "description": "Benchmark: scikit_svm", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 17.60000000000000142108547152020037174224853515625, "raw_values": [ 17.6106095314030000054117408581078052520751953125, 17.621352910995000229377183131873607635498046875, 17.570944547652999290221487171947956085205078125 ], "test_run_times": [ 20.989999999999998436805981327779591083526611328125, 21.010000000000001563194018672220408916473388671875, 20.96000000000000085265128291212022304534912109375 ] } } }, "6e4a1114ac4c4b97f28942fcfc77f0071864290c": { "identifier": "pts\/mlpack-1.0.2", "title": "Mlpack Benchmark", "arguments": "SCIKIT_LINEARRIDGEREGRESSION", "description": "Benchmark: scikit_linearridgeregression", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 2.100000000000000088817841970012523233890533447265625, "raw_values": [ 2.09613800048829990174681370262987911701202392578125, 2.092653989791899871164559954195283353328704833984375, 2.122283935546899868995751603506505489349365234375 ], "test_run_times": [ 41.75999999999999801048033987171947956085205078125, 41.10000000000000142108547152020037174224853515625, 41.31000000000000227373675443232059478759765625 ] } } }, "0991aafbc1109a98b492b3685d378e12b6c347d3": { "identifier": "pts\/opencv-1.1.0", "title": "OpenCV", "app_version": "4.5.4", "arguments": "dnn", "description": "Test: DNN - Deep Neural Network", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "ML Tests": { "value": 13787, "raw_values": [ 12490, 12523, 14957, 15100, 13785, 13644, 13681, 14435, 15056, 14259, 14629, 13587, 13871, 11414, 13371 ], "test_run_times": [ 13.8699999999999992184029906638897955417633056640625, 13.8499999999999996447286321199499070644378662109375, 16.32000000000000028421709430404007434844970703125, 16.46000000000000085265128291212022304534912109375, 15.1300000000000007815970093361102044582366943359375, 14.9900000000000002131628207280300557613372802734375, 15.0099999999999997868371792719699442386627197265625, 15.7599999999999997868371792719699442386627197265625, 16.39999999999999857891452847979962825775146484375, 15.5800000000000000710542735760100185871124267578125, 15.949999999999999289457264239899814128875732421875, 14.9199999999999999289457264239899814128875732421875, 15.230000000000000426325641456060111522674560546875, 12.7400000000000002131628207280300557613372802734375, 14.7200000000000006394884621840901672840118408203125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared" } } } } } } }