Tests for a future article. Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 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 2312224-PTS-TGLDEC9288
{
"title": "tgldec",
"last_modified": "2023-12-22 13:13:49",
"description": "Tests for a future article. Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite.",
"systems": {
"a": {
"identifier": "a",
"hardware": {
"Processor": "Intel Core i7-1185G7 @ 4.80GHz (4 Cores \/ 8 Threads)",
"Motherboard": "Dell 0DXP1F (3.7.0 BIOS)",
"Chipset": "Intel Tiger Lake-LP",
"Memory": "16GB",
"Disk": "Micron 2300 NVMe 512GB",
"Graphics": "Intel Xe TGL GT2 15GB (1350MHz)",
"Audio": "Realtek ALC289",
"Network": "Intel Wi-Fi 6 AX201"
},
"software": {
"OS": "Ubuntu 22.04",
"Kernel": "6.2.0-36-generic (x86_64)",
"Desktop": "GNOME Shell 42.2",
"Display Server": "X Server + Wayland",
"OpenGL": "4.6 Mesa 22.0.1",
"OpenCL": "OpenCL 3.0",
"Vulkan": "1.3.204",
"Compiler": "GCC 11.4.0",
"File-System": "ext4",
"Screen Resolution": "1920x1200"
},
"user": "pts",
"timestamp": "2023-12-22 09:10:41",
"client_version": "10.8.4",
"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-XeT9lY\/gcc-11-11.4.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-11-XeT9lY\/gcc-11-11.4.0\/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": "intel_pstate powersave (EPP: balance_performance)",
"cpu-microcode": "0xb4",
"cpu-thermald": "2.4.9",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"java": "OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)",
"python": "Python 3.10.12",
"security": "gather_data_sampling: Mitigation of Microcode + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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: Not affected + tsx_async_abort: Not affected"
}
},
"b": {
"identifier": "b",
"hardware": {
"Processor": "Intel Core i7-1185G7 @ 4.80GHz (4 Cores \/ 8 Threads)",
"Motherboard": "Dell 0DXP1F (3.7.0 BIOS)",
"Chipset": "Intel Tiger Lake-LP",
"Memory": "16GB",
"Disk": "Micron 2300 NVMe 512GB",
"Graphics": "Intel Xe TGL GT2 15GB (1350MHz)",
"Audio": "Realtek ALC289",
"Network": "Intel Wi-Fi 6 AX201"
},
"software": {
"OS": "Ubuntu 22.04",
"Kernel": "6.2.0-36-generic (x86_64)",
"Desktop": "GNOME Shell 42.2",
"Display Server": "X Server + Wayland",
"OpenGL": "4.6 Mesa 22.0.1",
"OpenCL": "OpenCL 3.0",
"Vulkan": "1.3.204",
"Compiler": "GCC 11.4.0",
"File-System": "ext4",
"Screen Resolution": "1920x1200"
},
"user": "pts",
"timestamp": "2023-12-22 11:16:31",
"client_version": "10.8.4",
"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-XeT9lY\/gcc-11-11.4.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-11-XeT9lY\/gcc-11-11.4.0\/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": "intel_pstate powersave (EPP: balance_performance)",
"cpu-microcode": "0xb4",
"cpu-thermald": "2.4.9",
"kernel-extra-details": "Transparent Huge Pages: madvise",
"java": "OpenJDK Runtime Environment (build 11.0.20.1+1-post-Ubuntu-0ubuntu122.04)",
"python": "Python 3.10.12",
"security": "gather_data_sampling: Mitigation of Microcode + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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: Not affected + tsx_async_abort: Not affected"
}
}
},
"results": {
"4f1143b9eb648135d9abf519fd418b332528343f": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a kawpow --bench=1M",
"description": "Variant: KawPow - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1908.5,
"test_run_times": [
531.1200000000000045474735088646411895751953125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1911.09999999999990905052982270717620849609375,
"test_run_times": [
530.5
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"40e6f71b11b5fa11b51d184848040716189668b7": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "--bench=1M",
"description": "Variant: Monero - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1904.90000000000009094947017729282379150390625,
"test_run_times": [
531.950000000000045474735088646411895751953125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1912.90000000000009094947017729282379150390625,
"test_run_times": [
529.740000000000009094947017729282379150390625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"4d8e8ba34b6c45a42169dbb1384a050822d0fa72": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a rx\/wow --bench=1M",
"description": "Variant: Wownero - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 2646.1999999999998181010596454143524169921875,
"test_run_times": [
385
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 2647.6999999999998181010596454143524169921875,
"test_run_times": [
384.68000000000000682121026329696178436279296875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"9524205c1703ecea055ce3dff22ecbfbb11e896a": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a gr --bench=1M",
"description": "Variant: GhostRider - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 405.30000000000001136868377216160297393798828125,
"test_run_times": [
2468.28000000000020008883439004421234130859375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 443.1000000000000227373675443232059478759765625,
"test_run_times": [
2257.67999999999983629095368087291717529296875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"990a88e4294b8e246c7f8296e1c5431f06eb369c": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a cn-heavy\/0 --bench=1M",
"description": "Variant: CryptoNight-Heavy - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1921.09999999999990905052982270717620849609375,
"test_run_times": [
525.76999999999998181010596454143524169921875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1913.40000000000009094947017729282379150390625,
"test_run_times": [
527.9099999999999681676854379475116729736328125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"818a69a5f4ebff2e4bb2c759fe2a8d0dd0452dad": {
"identifier": "pts\/xmrig-1.2.0",
"title": "Xmrig",
"app_version": "6.21",
"arguments": "-a cn\/upx2 --bench=1M",
"description": "Variant: CryptoNight-Femto UPX2 - Hash Count: 1M",
"scale": "H\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1902.59999999999990905052982270717620849609375,
"test_run_times": [
532.69000000000005456968210637569427490234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
},
"b": {
"value": 1907.90000000000009094947017729282379150390625,
"test_run_times": [
531.19000000000005456968210637569427490234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc"
}
}
}
}
},
"5fa176cc50862c4db0a5446794759786be71a046": {
"identifier": "pts\/lczero-1.7.0",
"title": "LeelaChessZero",
"app_version": "0.30",
"arguments": "-b blas",
"description": "Backend: BLAS",
"scale": "Nodes Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 61,
"test_run_times": [
369.73000000000001818989403545856475830078125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
},
"b": {
"value": 62,
"test_run_times": [
375.3600000000000136424205265939235687255859375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
}
}
},
"ab7b1e284f00adf277eb0c7e548ec0276757edcf": {
"identifier": "pts\/lczero-1.7.0",
"title": "LeelaChessZero",
"app_version": "0.30",
"arguments": "-b eigen",
"description": "Backend: Eigen",
"scale": "Nodes Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 51,
"test_run_times": [
368.91000000000002501110429875552654266357421875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
},
"b": {
"value": 52,
"test_run_times": [
374.20999999999997953636921010911464691162109375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-flto -pthread"
}
}
}
}
},
"7177df0983290cc547ee8201e604768da3e0a24a": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/document_classification\/obert-base\/pytorch\/huggingface\/imdb\/base-none --scenario async",
"description": "Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 3.91650000000000009237055564881302416324615478515625,
"test_run_times": [
48.25
]
},
"b": {
"value": 3.882600000000000051159076974727213382720947265625,
"test_run_times": [
44.27000000000000312638803734444081783294677734375
]
}
}
},
"cfea26185bda60cf1bd972198a894017567ea66d": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/document_classification\/obert-base\/pytorch\/huggingface\/imdb\/base-none --scenario async",
"description": "Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 510.13889999999997826307662762701511383056640625,
"test_run_times": [
48.25
]
},
"b": {
"value": 514.33429999999998472048901021480560302734375,
"test_run_times": [
44.27000000000000312638803734444081783294677734375
]
}
}
},
"f524385817c97baf9338a7ff6f39a7c655b03295": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/sentiment_analysis\/oberta-base\/pytorch\/huggingface\/sst2\/pruned90_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 127.082999999999998408384271897375583648681640625,
"test_run_times": [
47.50999999999999801048033987171947956085205078125
]
},
"b": {
"value": 126.7496000000000009322320693172514438629150390625,
"test_run_times": [
46.909999999999996589394868351519107818603515625
]
}
}
},
"6d1bc6324fc6f3c201d57050ed8113b8f3aaa20f": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/sentiment_analysis\/oberta-base\/pytorch\/huggingface\/sst2\/pruned90_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 15.702799999999999869260136620141565799713134765625,
"test_run_times": [
47.50999999999999801048033987171947956085205078125
]
},
"b": {
"value": 15.745599999999999596411726088263094425201416015625,
"test_run_times": [
46.909999999999996589394868351519107818603515625
]
}
}
},
"a9114050bf9d19d8068bec56f0849556b5ad7e41": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 54.45230000000000103455022326670587062835693359375,
"test_run_times": [
39.280000000000001136868377216160297393798828125
]
},
"b": {
"value": 54.5005000000000023874235921539366245269775390625,
"test_run_times": [
38.3299999999999982946974341757595539093017578125
]
}
}
},
"39697168b3b50cc5be0663ce16b826085d7964b6": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 36.68990000000000151203494169749319553375244140625,
"test_run_times": [
39.280000000000001136868377216160297393798828125
]
},
"b": {
"value": 36.64020000000000010231815394945442676544189453125,
"test_run_times": [
38.3299999999999982946974341757595539093017578125
]
}
}
},
"1a8f84ecf131a8f2bb9cf496b58f44a8a27991a2": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/pruned95_uniform_quant-none --scenario async",
"description": "Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 307.92290000000002692104317247867584228515625,
"test_run_times": [
39.0499999999999971578290569595992565155029296875
]
},
"b": {
"value": 307.505499999999983629095368087291717529296875,
"test_run_times": [
38.89999999999999857891452847979962825775146484375
]
}
}
},
"fe8adf6ae3796d52419bec3b9df723076023e933": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/pruned95_uniform_quant-none --scenario async",
"description": "Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 6.46699999999999963762320476234890520572662353515625,
"test_run_times": [
39.0499999999999971578290569595992565155029296875
]
},
"b": {
"value": 6.47599999999999997868371792719699442386627197265625,
"test_run_times": [
38.89999999999999857891452847979962825775146484375
]
}
}
},
"30a0ae27e6fce0ebd1a53ca1cf7c2475badd4741": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/base-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 22.17620000000000146656020660884678363800048828125,
"test_run_times": [
38.340000000000003410605131648480892181396484375
]
},
"b": {
"value": 23.440599999999999880628820392303168773651123046875,
"test_run_times": [
38.07000000000000028421709430404007434844970703125
]
}
}
},
"bf5141edd92c8c1e44875bf4322842f2d565a81a": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/base-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 90.1432999999999964302332955412566661834716796875,
"test_run_times": [
38.340000000000003410605131648480892181396484375
]
},
"b": {
"value": 85.281800000000004047251422889530658721923828125,
"test_run_times": [
38.07000000000000028421709430404007434844970703125
]
}
}
},
"110f1cc60ec0ea7c1af675f5581fd8635260d922": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/base-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 4.30930000000000035242919693700969219207763671875,
"test_run_times": [
82.7600000000000051159076974727213382720947265625
]
},
"b": {
"value": 4.30510000000000037090330806677229702472686767578125,
"test_run_times": [
69.75
]
}
}
},
"9ff1e78c5264f23b5224a84b200df72830b13579": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/base-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 463.89229999999997744453139603137969970703125,
"test_run_times": [
82.7600000000000051159076974727213382720947265625
]
},
"b": {
"value": 461.799899999999979627318680286407470703125,
"test_run_times": [
69.75
]
}
}
},
"59e3c791f39382e6c9e84cf0bd6166c7d7b5ba9e": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 54.2105999999999994543031789362430572509765625,
"test_run_times": [
38.81000000000000227373675443232059478759765625
]
},
"b": {
"value": 53.7708999999999974761522025801241397857666015625,
"test_run_times": [
38.7999999999999971578290569595992565155029296875
]
}
}
},
"eca4294ef9f65f9eb7e3619864362bb782b221df": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/classification\/resnet_v1-50\/pytorch\/sparseml\/imagenet\/base-none --scenario async",
"description": "Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 36.85719999999999885176293901167809963226318359375,
"test_run_times": [
38.81000000000000227373675443232059478759765625
]
},
"b": {
"value": 37.16250000000000142108547152020037174224853515625,
"test_run_times": [
38.7999999999999971578290569595992565155029296875
]
}
}
},
"99fe49a34e19276c2c1e1cabb81232bca03c6b56": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/pruned85-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 22.285000000000000142108547152020037174224853515625,
"test_run_times": [
39.10000000000000142108547152020037174224853515625
]
},
"b": {
"value": 22.934400000000000119371179607696831226348876953125,
"test_run_times": [
38.61999999999999744204615126363933086395263671875
]
}
}
},
"d3a51d2475684402105c9de929d898b8c318d267": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/detection\/yolov5-s\/pytorch\/ultralytics\/coco\/pruned85-none --scenario async",
"description": "Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 89.7186999999999983401721692644059658050537109375,
"test_run_times": [
39.10000000000000142108547152020037174224853515625
]
},
"b": {
"value": 87.175399999999996225596987642347812652587890625,
"test_run_times": [
38.61999999999999744204615126363933086395263671875
]
}
}
},
"bbe2982cef2af31b6c22d5cc1487ed124ca4ed4b": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/text_classification\/distilbert-none\/pytorch\/huggingface\/mnli\/base-none --scenario async",
"description": "Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 29.9729999999999989768184605054557323455810546875,
"test_run_times": [
42.96000000000000085265128291212022304534912109375
]
},
"b": {
"value": 29.36959999999999837427822058089077472686767578125,
"test_run_times": [
39.8299999999999982946974341757595539093017578125
]
}
}
},
"19d426cc943b00227b564f6813b33d710c2a4615": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/text_classification\/distilbert-none\/pytorch\/huggingface\/mnli\/base-none --scenario async",
"description": "Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 66.6603999999999956571627990342676639556884765625,
"test_run_times": [
42.96000000000000085265128291212022304534912109375
]
},
"b": {
"value": 68.0027999999999934743755147792398929595947265625,
"test_run_times": [
39.8299999999999982946974341757595539093017578125
]
}
}
},
"6089d6134855343b042b5ffe9f952c461140c3ab": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/segmentation\/yolact-darknet53\/pytorch\/dbolya\/coco\/pruned90-none --scenario async",
"description": "Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 6.61460000000000025721647034515626728534698486328125,
"test_run_times": [
46.88000000000000255795384873636066913604736328125
]
},
"b": {
"value": 6.62000000000000010658141036401502788066864013671875,
"test_run_times": [
45.090000000000003410605131648480892181396484375
]
}
}
},
"a2efe4ee2ae3185b2d06fce82479f0651157c55c": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:cv\/segmentation\/yolact-darknet53\/pytorch\/dbolya\/coco\/pruned90-none --scenario async",
"description": "Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 302.3134000000000014551915228366851806640625,
"test_run_times": [
46.88000000000000255795384873636066913604736328125
]
},
"b": {
"value": 302.06999999999999317878973670303821563720703125,
"test_run_times": [
45.090000000000003410605131648480892181396484375
]
}
}
},
"c0672a4955f7b2ab1a405f869c012f764e80097e": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/pruned97_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 55.54249999999999687361196265555918216705322265625,
"test_run_times": [
50.67999999999999971578290569595992565155029296875
]
},
"b": {
"value": 55.3025999999999982037479639984667301177978515625,
"test_run_times": [
47.280000000000001136868377216160297393798828125
]
}
}
},
"60f855709ace180c19d54e5d245b05d6b1c7fe03": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/question_answering\/obert-large\/pytorch\/huggingface\/squad\/pruned97_quant-none --input_shapes='[1,128]' --scenario async",
"description": "Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 35.9635999999999995679900166578590869903564453125,
"test_run_times": [
50.67999999999999971578290569595992565155029296875
]
},
"b": {
"value": 36.1024000000000029331204132176935672760009765625,
"test_run_times": [
47.280000000000001136868377216160297393798828125
]
}
}
},
"94d990fdc1f5d799aaa05fc120ac31cf1220b272": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/token_classification\/bert-base\/pytorch\/huggingface\/conll2003\/base-none --scenario async",
"description": "Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
"scale": "items\/sec",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 3.72210000000000018616219676914624869823455810546875,
"test_run_times": [
47.8299999999999982946974341757595539093017578125
]
},
"b": {
"value": 3.64219999999999988204990586382336914539337158203125,
"test_run_times": [
44.280000000000001136868377216160297393798828125
]
}
}
},
"45f6d0177f8c6a689eb02824f962c055c66a9292": {
"identifier": "pts\/deepsparse-1.6.0",
"title": "Neural Magic DeepSparse",
"app_version": "1.6",
"arguments": "zoo:nlp\/token_classification\/bert-base\/pytorch\/huggingface\/conll2003\/base-none --scenario async",
"description": "Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream",
"scale": "ms\/batch",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 537.2767000000000052750692702829837799072265625,
"test_run_times": [
47.8299999999999982946974341757595539093017578125
]
},
"b": {
"value": 544.8736999999999852661858312785625457763671875,
"test_run_times": [
44.280000000000001136868377216160297393798828125
]
}
}
},
"5faad2eeccf95a6c2fcf92a16ab8952107f7ac7e": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 4 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 1.3819999999999998951949464753852225840091705322265625,
"test_run_times": [
117.25
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 1.375999999999999889865875957184471189975738525390625,
"test_run_times": [
117.719999999999998863131622783839702606201171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"c14d0b5ebcf53498668c8654883e64476ca9e6cb": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 8 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 11.352000000000000312638803734444081783294677734375,
"test_run_times": [
54.10000000000000142108547152020037174224853515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 11.3589999999999999857891452847979962825775146484375,
"test_run_times": [
54.02000000000000312638803734444081783294677734375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"01b8a8423c77dc9bfd8f5cfd4ccbe2dde54dc852": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 12 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 43.02900000000000346744855050928890705108642578125,
"test_run_times": [
16.120000000000000994759830064140260219573974609375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 41.46900000000000119371179607696831226348876953125,
"test_run_times": [
16.64999999999999857891452847979962825775146484375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"df4f25f1140a1944a4d4224142d9c532fee4c333": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160",
"description": "Encoder Mode: Preset 13 - Input: Bosphorus 4K",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 43.9440000000000026147972675971686840057373046875,
"test_run_times": [
15.1199999999999992184029906638897955417633056640625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 44.421999999999997044142219237983226776123046875,
"test_run_times": [
14.96000000000000085265128291212022304534912109375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"bd60d19ed572aa62476e8604a0a59c0049fea081": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 4 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 5.33199999999999985078602549037896096706390380859375,
"test_run_times": [
30.480000000000000426325641456060111522674560546875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 5.4489999999999998436805981327779591083526611328125,
"test_run_times": [
29.809999999999998721023075631819665431976318359375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"721958a2f8fa45aed4031a0de1d146143c6dea10": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 8 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 37.93599999999999994315658113919198513031005859375,
"test_run_times": [
16.35000000000000142108547152020037174224853515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 42.17399999999999948840923025272786617279052734375,
"test_run_times": [
14.6099999999999994315658113919198513031005859375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"e09e6c5b9d8c57c920eea2cc0fc967c3986b4af8": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 12 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 194.342000000000012960299500264227390289306640625,
"test_run_times": [
3.520000000000000017763568394002504646778106689453125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 222.462999999999993860910763032734394073486328125,
"test_run_times": [
3.109999999999999875655021241982467472553253173828125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"db8fa582a4e071550fc77ccf19f389ba388b3e8d": {
"identifier": "pts\/svt-av1-2.11.1",
"title": "SVT-AV1",
"app_version": "1.8",
"arguments": "--preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080",
"description": "Encoder Mode: Preset 13 - Input: Bosphorus 1080p",
"scale": "Frames Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 287.019000000000005456968210637569427490234375,
"test_run_times": [
2.5
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
},
"b": {
"value": 285.6770000000000209183781407773494720458984375,
"test_run_times": [
2.5
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq"
}
}
}
}
},
"7f21f67d7fcf3baee208ffbf7f49e4fbbe53e9e8": {
"identifier": "pts\/scylladb-1.0.0",
"title": "ScyllaDB",
"app_version": "5.2.9",
"arguments": "WRITE",
"description": "Test: Writes",
"scale": "Op\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"a": {
"value": 42920,
"test_run_times": [
164.509999999999990905052982270717620849609375
]
},
"b": {
"value": 46001,
"test_run_times": [
161.080000000000012505552149377763271331787109375
]
}
}
}
}
}