system_test_MNN

Intel Core i5-10210U testing with a HUAWEI NBLB-WAX9N-PCB (1.45 BIOS) and Intel CometLake-U GT2 [UHD ] 8GB on Debian 12 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 2405085-AMET-SYSTEMT33
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
System_Test
May 08
  7 Hours, 48 Minutes
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{ "title": "system_test_MNN", "last_modified": "2024-05-08 09:18:51", "description": "Intel Core i5-10210U testing with a HUAWEI NBLB-WAX9N-PCB (1.45 BIOS) and Intel CometLake-U GT2 [UHD ] 8GB on Debian 12 via the Phoronix Test Suite.", "systems": { "System_Test": { "identifier": "System_Test", "hardware": { "Processor": "Intel Core i5-10210U @ 4.20GHz (4 Cores \/ 8 Threads)", "Motherboard": "HUAWEI NBLB-WAX9N-PCB (1.45 BIOS)", "Chipset": "Intel Comet Lake PCH-LP", "Memory": "2 x 4 GB DDR4-2667MT\/s Samsung K4A8G165WC-BCTD", "Disk": "512GB Western Digital PC SN730 SDBPNTY-512G-1027", "Graphics": "Intel CometLake-U GT2 [UHD ] 8GB (1100MHz)", "Audio": "Intel Comet Lake PCH-LP cAVS", "Network": "Intel Comet Lake PCH-LP CNVi WiFi" }, "software": { "OS": "Debian 12", "Kernel": "6.1.0-18-amd64 (x86_64)", "Desktop": "KDE Plasma 5.27.5", "Display Server": "X Server 1.21.1.7", "Display Driver": "modesetting 1.21.1", "OpenGL": "4.6 Mesa 22.3.6", "Compiler": "GCC 12.2.0", "File-System": "ext4", "Screen Resolution": "1920x1080" }, "user": "amethyst", "timestamp": "2024-05-08 08:18:08", "data": { "compiler-configuration": "--build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-12-bTRWOB\/gcc-12-12.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-12-bTRWOB\/gcc-12-12.2.0\/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-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": "intel_pstate powersave", "cpu-microcode": "0xde", "security": "gather_data_sampling: Vulnerable: No microcode + itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Mitigation of Microcode + tsx_async_abort: Not affected" } } }, "results": { "9c9f2aa63e1350d40e4e4c3833c622059e6ac36a": { "identifier": "pts\/mnn-2.1.0", "title": "Mobile Neural Network", "app_version": "2.1", "description": "Model: nasnet", "scale": "ms", 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401.1000000000000227373675443232059478759765625, 398.17000000000001591615728102624416351318359375, 407.54000000000002046363078989088535308837890625 ] } } }, "ac6ea7e28f584dfea1991297ee0347f365b82ff8": { "identifier": "pts\/mnn-2.1.0", "title": "Mobile Neural Network", "app_version": "2.1", "description": "Model: mobilenetV3", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "System_Test": { "value": 2.920999999999999818811602381174452602863311767578125, "raw_values": [ 2.721999999999999975131004248396493494510650634765625, 2.528000000000000024868995751603506505489349365234375, 2.471000000000000085265128291212022304534912109375, 3.05900000000000016342482922482304275035858154296875, 3.037999999999999811706175023573450744152069091796875, 3.273000000000000131450406115618534386157989501953125, 3.040999999999999925393012745189480483531951904296875, 3.108000000000000095923269327613525092601776123046875, 3.05299999999999993605115378159098327159881591796875 ], 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Network", "app_version": "2.1", "description": "Model: resnet-v2-50", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "System_Test": { "value": 56.51100000000000278532752417959272861480712890625, "raw_values": [ 54.423000000000001818989403545856475830078125, 48.042000000000001591615728102624416351318359375, 54.88300000000000267164068645797669887542724609375, 58.87299999999999755573298898525536060333251953125, 58.2590000000000003410605131648480892181396484375, 58.2180000000000035242919693700969219207763671875, 58.8599999999999994315658113919198513031005859375, 57.6629999999999967030817060731351375579833984375, 59.38199999999999789679350215010344982147216796875 ], "min_result": [ "46.54" ], "max_result": [ "207.82" ], "test_run_times": [ 342.79000000000002046363078989088535308837890625, 359.3999999999999772626324556767940521240234375, 365.8700000000000045474735088646411895751953125, 431.009999999999990905052982270717620849609375, 401.970000000000027284841053187847137451171875, 399.73000000000001818989403545856475830078125, 401.1000000000000227373675443232059478759765625, 398.17000000000001591615728102624416351318359375, 407.54000000000002046363078989088535308837890625 ] } } }, "d0e9ad0f5b88f299f01857b4a79b046e8626646d": { "identifier": "pts\/mnn-2.1.0", "title": "Mobile Neural Network", "app_version": "2.1", "description": "Model: SqueezeNetV1.0", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "System_Test": { "value": 10.32300000000000039790393202565610408782958984375, "raw_values": [ 10.7080000000000001847411112976260483264923095703125, 8.6489999999999991331378623726777732372283935546875, 8.5480000000000000426325641456060111522674560546875, 11.125, 10.7050000000000000710542735760100185871124267578125, 10.586999999999999744204615126363933086395263671875, 10.6899999999999995026200849679298698902130126953125, 10.6820000000000003836930773104541003704071044921875, 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"identifier": "pts\/mnn-2.1.0", "title": "Mobile Neural Network", "app_version": "2.1", "description": "Model: mobilenet-v1-1.0", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "System_Test": { "value": 7.06500000000000039079850466805510222911834716796875, "raw_values": [ 6.78099999999999969446662362315692007541656494140625, 6.0030000000000001136868377216160297393798828125, 6.3070000000000003836930773104541003704071044921875, 7.34700000000000041922021409845910966396331787109375, 7.36399999999999987920773492078296840190887451171875, 7.57500000000000017763568394002504646778106689453125, 7.48500000000000031974423109204508364200592041015625, 7.29000000000000003552713678800500929355621337890625, 7.43700000000000027711166694643907248973846435546875 ], "min_result": [ "5.71" ], "max_result": [ "48.57" ], "test_run_times": [ 342.79000000000002046363078989088535308837890625, 359.3999999999999772626324556767940521240234375, 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