genoa x new tests

2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 24.04 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 2403089-NE-GENOAXNEW83
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 2 Tests
Creator Workloads 7 Tests
HPC - High Performance Computing 3 Tests
Imaging 2 Tests
Machine Learning 2 Tests
Multi-Core 5 Tests
Intel oneAPI 4 Tests
Raytracing 2 Tests
Renderers 2 Tests
Server CPU Tests 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
March 08
  1 Hour, 37 Minutes
b
March 08
  1 Hour, 36 Minutes
Invert Hiding All Results Option
  1 Hour, 37 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


{ "title": "genoa x new tests", "last_modified": "2024-03-08 18:55:37", "description": "2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite.", "systems": { "a": { "identifier": "a", "hardware": { "Processor": "2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores \/ 384 Threads)", "Motherboard": "AMD Titanite_4G (RTI1007B BIOS)", "Chipset": "AMD Device 14a4", "Memory": "1520GB", "Disk": "3201GB Micron_7450_MTFDKCB3T2TFS", "Graphics": "ASPEED", "Network": "Broadcom NetXtreme BCM5720 PCIe" }, "software": { "OS": "Ubuntu 24.04", "Kernel": "6.8.0-11-generic (x86_64)", "Desktop": "GNOME Shell 45.3", "Display Server": "X Server 1.21.1.11", "Compiler": "GCC 13.2.0", "File-System": "ext4", "Screen Resolution": "1920x1200" }, "user": "phoronix", "timestamp": "2024-03-08 15:54:08", "client_version": "10.8.4", "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-backtrace --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-13-fxIygj\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-fxIygj\/gcc-13-13.2.0\/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": "acpi-cpufreq performance (Boost: Enabled)", "cpu-microcode": "0xa101144", "kernel-extra-details": "Transparent Huge Pages: madvise", "python": "Python 3.12.2", "security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 \/ Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } }, "b": { "identifier": "b", "hardware": { "Processor": "2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores \/ 384 Threads)", "Motherboard": "AMD Titanite_4G (RTI1007B BIOS)", "Chipset": "AMD Device 14a4", "Memory": "1520GB", "Disk": "3201GB Micron_7450_MTFDKCB3T2TFS", "Graphics": "ASPEED", "Network": "Broadcom NetXtreme BCM5720 PCIe" }, "software": { "OS": "Ubuntu 24.04", "Kernel": "6.8.0-11-generic (x86_64)", "Desktop": "GNOME Shell 45.3", "Display Server": "X Server 1.21.1.11", "Compiler": "GCC 13.2.0", "File-System": "ext4", "Screen Resolution": "1920x1200" }, "user": "phoronix", "timestamp": "2024-03-08 17:23:41", "client_version": "10.8.4", "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-backtrace --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-13-fxIygj\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-fxIygj\/gcc-13-13.2.0\/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": "acpi-cpufreq performance (Boost: Enabled)", "cpu-microcode": "0xa101144", "kernel-extra-details": "Transparent Huge Pages: madvise", "python": "Python 3.12.2", "security": "gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 \/ Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected" } } }, "results": { "3a48ff0a7df267f1cad54d0160f1013f6bfa0da6": { "identifier": "pts\/quicksilver-1.0.0", "title": "Quicksilver", "app_version": "20230818", "arguments": "..\/Examples\/CTS2_Benchmark\/CTS2.inp", "description": "Input: CTS2", "scale": "Figure Of Merit", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 19010000, "test_run_times": [ 267.95999999999997953636921010911464691162109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fopenmp -O3 -march=native" } } }, "b": { "value": 16630000, "test_run_times": [ 305.82999999999998408384271897375583648681640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fopenmp -O3 -march=native" } } } } }, "8f240080f4a9e0a0dc2c41137a7d1437c7ffdcbc": { "identifier": "pts\/onednn-3.4.0", "title": "oneDNN", "app_version": "3.4", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --engine=cpu", "description": "Harness: IP Shapes 1D - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1.17494999999999993889332472463138401508331298828125, "min_result": [ "1.13" ], "test_run_times": [ 15.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 1.250220000000000108997255665599368512630462646484375, "min_result": [ "1.19" ], "test_run_times": [ 15.2200000000000006394884621840901672840118408203125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "d15028fe87a8d384992c2ac2bafd73d77d232066": { "identifier": "pts\/jpegxl-1.6.0", "title": "JPEG-XL libjxl", "app_version": "0.10.1", "arguments": "--lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 80 --num_reps 80", "description": "Input: JPEG - Quality: 80", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 42.3239999999999980673237587325274944305419921875, "test_run_times": [ 45.93999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } }, "b": { "value": 39.921999999999997044142219237983226776123046875, "test_run_times": [ 48.56000000000000227373675443232059478759765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } } } }, "7b8d9c8868e174c82ff5631806b3bec884b866c4": { "identifier": "pts\/jpegxl-1.6.0", "title": "JPEG-XL libjxl", "app_version": "0.10.1", "arguments": "sample-4.png out.jxl -q 90 --num_reps 50", "description": "Input: PNG - Quality: 90", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 37.421999999999997044142219237983226776123046875, "test_run_times": [ 32.8599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } }, "b": { "value": 39.63799999999999812416717759333550930023193359375, "test_run_times": [ 31 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } } } }, "0083d93c7c846aae457cdffe798d6ed7a26cafbe": { "identifier": "pts\/quicksilver-1.0.0", "title": "Quicksilver", "app_version": "20230818", "arguments": "..\/Examples\/CORAL2_Benchmark\/Problem1\/Coral2_P1.inp", "description": "Input: CORAL2 P1", "scale": "Figure Of Merit", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 18510000, "test_run_times": [ 61.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fopenmp -O3 -march=native" } } }, "b": { "value": 17640000, "test_run_times": [ 64.0400000000000062527760746888816356658935546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fopenmp -O3 -march=native" } } } } }, "52fe0e78086f9edb4d11a84ed79e1fd1e10dfb1a": { "identifier": "pts\/jpegxl-1.6.0", "title": "JPEG-XL libjxl", "app_version": "0.10.1", "arguments": "--lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 90 --num_reps 50", "description": "Input: JPEG - Quality: 90", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 37.6490000000000009094947017729282379150390625, "test_run_times": [ 32.21000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } }, "b": { "value": 39.3299999999999982946974341757595539093017578125, "test_run_times": [ 30.9200000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } } } }, "b98add05d66e1331f141db44b09d1130a8b17f20": { "identifier": "pts\/onednn-3.4.0", "title": "oneDNN", "app_version": "3.4", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.98465199999999997171329368939041160047054290771484375, "min_result": [ "0.92" ], "test_run_times": [ 3.140000000000000124344978758017532527446746826171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 1.016199999999999992184029906638897955417633056640625, "min_result": [ "0.92" ], "test_run_times": [ 3.109999999999999875655021241982467472553253173828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "ba486aaaa9f479af2bfc01c3cbfe015dca24e212": { "identifier": "pts\/jpegxl-1.6.0", "title": "JPEG-XL libjxl", "app_version": "0.10.1", "arguments": "sample-4.png out.jxl -q 80 --num_reps 80", "description": "Input: PNG - Quality: 80", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 38.62299999999999755573298898525536060333251953125, "test_run_times": [ 50.5 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } }, "b": { "value": 39.69800000000000039790393202565610408782958984375, "test_run_times": [ 49.1400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } } } }, "f1e70f9003eb2d4794a5315dfa24dd4f666b2bb1": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16-INT8\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 183942.22000000000116415321826934814453125, "test_run_times": [ 61.340000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 179505.67000000001280568540096282958984375, "test_run_times": [ 61.280000000000001136868377216160297393798828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "a110d5740af9dd951854d42f541e1d01365f586e": { "identifier": "pts\/quicksilver-1.0.0", "title": "Quicksilver", "app_version": "20230818", "arguments": "..\/Examples\/CORAL2_Benchmark\/Problem2\/Coral2_P2.inp", "description": "Input: CORAL2 P2", "scale": "Figure Of Merit", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 15820000, "test_run_times": [ 295.06000000000000227373675443232059478759765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fopenmp -O3 -march=native" } } }, "b": { "value": 16200000, "test_run_times": [ 288.41000000000002501110429875552654266357421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fopenmp -O3 -march=native" } } } } }, "d9548296a130d41521408adebd2110bf646bed60": { "identifier": "pts\/onednn-3.4.0", "title": "oneDNN", "app_version": "3.4", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --engine=cpu", "description": "Harness: Recurrent Neural Network Training - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 759.113000000000056388671509921550750732421875, "min_result": [ "753.66" ], "test_run_times": [ 76.2399999999999948840923025272786617279052734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 773.921000000000049112713895738124847412109375, "min_result": [ "756.96" ], "test_run_times": [ 76.2099999999999937472239253111183643341064453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "0ef6103275fbe37507d64e861136b8757d7fa5c6": { "identifier": "pts\/onednn-3.4.0", "title": "oneDNN", "app_version": "3.4", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.55820400000000003348787913637352176010608673095703125, "min_result": [ "0.46" ], "test_run_times": [ 6.4000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.5479760000000000186304305316298268735408782958984375, "min_result": [ "0.51" ], "test_run_times": [ 6.38999999999999968025576890795491635799407958984375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "64781074ae0de95cc0e8e54da557fa66dffe3585": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/noise-suppression-poconetlike-0001\/FP16\/noise-suppression-poconetlike-0001.xml -d CPU", "description": "Model: Noise Suppression Poconet-Like FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 7490.6800000000002910383045673370361328125, "test_run_times": [ 67.7300000000000039790393202565610408782958984375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 7615.170000000000072759576141834259033203125, "test_run_times": [ 67.5100000000000051159076974727213382720947265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "6f013d0979a8c1ab4992358f3f1fb33db7be046f": { "identifier": "pts\/jpegxl-decode-1.6.0", "title": "JPEG-XL Decoding libjxl", "app_version": "0.10.1", "arguments": "--num_reps=250", "description": "CPU Threads: All", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 443.3519999999999754436430521309375762939453125, "test_run_times": [ 20.809999999999998721023075631819665431976318359375 ] }, "b": { "value": 436.18599999999997862687450833618640899658203125, "test_run_times": [ 21.030000000000001136868377216160297393798828125 ] } } }, "d10b6e13a56672f2638df45aa03bcf70e4dd53ec": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 3 3 --resolution 1920x1080 --spp 16 --renderer pathtracer", "description": "Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2654, "test_run_times": [ 75.06999999999999317878973670303821563720703125 ] }, "b": { "value": 2619, "test_run_times": [ 74.1099999999999994315658113919198513031005859375 ] } } }, "2ed560d98eff4ca5e5fd1b4abe64bf1705b4513d": { "identifier": "pts\/jpegxl-1.6.0", "title": "JPEG-XL libjxl", "app_version": "0.10.1", "arguments": "--lossless_jpeg=0 sample-photo-6000x4000.JPG out.jxl -q 100 --num_reps 20", "description": "Input: JPEG - Quality: 100", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 34.22200000000000130739863379858434200286865234375, "test_run_times": [ 14.519999999999999573674358543939888477325439453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } }, "b": { "value": 33.79099999999999681676854379475116729736328125, "test_run_times": [ 14.67999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } } } }, "5034ffcb0b936f4faa2449cdfdf0b8f2fb9e8d42": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 2 2 --resolution 3840x2160 --spp 32 --renderer pathtracer", "description": "Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 17854, "test_run_times": [ 70.349999999999994315658113919198513031005859375 ] }, "b": { "value": 17637, "test_run_times": [ 69.2300000000000039790393202565610408782958984375 ] } } }, "71fb2672401eac9e14360f0d24b0dac568d4e27d": { "identifier": "pts\/onednn-3.4.0", "title": "oneDNN", "app_version": "3.4", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --engine=cpu", "description": "Harness: IP Shapes 3D - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.88219199999999997618971292467904277145862579345703125, "min_result": [ "0.8" ], "test_run_times": [ 9.4000000000000003552713678800500929355621337890625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.8926819999999999755146973257069475948810577392578125, "min_result": [ "0.83" ], "test_run_times": [ 9.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "c83264506f6580cdf036877328b4679894e6585d": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 160723.33999999999650754034519195556640625, "test_run_times": [ 61.39999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 162505.2999999999883584678173065185546875, "test_run_times": [ 61.3900000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "9cce68bd4598bb1e16f4df993fbf06facecbc316": { "identifier": "pts\/jpegxl-1.6.0", "title": "JPEG-XL libjxl", "app_version": "0.10.1", "arguments": "sample-4.png out.jxl -q 100 --num_reps 20", "description": "Input: PNG - Quality: 100", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 33.31099999999999994315658113919198513031005859375, "test_run_times": [ 15.2200000000000006394884621840901672840118408203125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } }, "b": { "value": 33.655000000000001136868377216160297393798828125, "test_run_times": [ 15.1199999999999992184029906638897955417633056640625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fno-rtti -O3 -fPIE -pie -lm" } } } } }, "b85ff177494a3823cbf2006a9a2d568bc30d1f6e": { "identifier": "pts\/ospray-3.1.0", "title": "OSPRay", "app_version": "3.1", "arguments": "--benchmark_filter=gravity_spheres_volume\/dim_512\/scivis\/real_time", "description": "Benchmark: gravity_spheres_volume\/dim_512\/scivis\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 50.25999999999999801048033987171947956085205078125, "test_run_times": [ 71.8900000000000005684341886080801486968994140625 ] }, "b": { "value": 50.744900000000001227817847393453121185302734375, "test_run_times": [ 71.1700000000000017053025658242404460906982421875 ] } } }, "6646b2d5f3a1f33744e6be1a67577a865eb9e125": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 3 3 --resolution 3840x2160 --spp 16 --renderer pathtracer", "description": "Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 10373, "test_run_times": [ 58.18999999999999772626324556767940521240234375 ] }, "b": { "value": 10292, "test_run_times": [ 57.99000000000000198951966012828052043914794921875 ] } } }, "d9f2d647dbaec7a1bc64ddab4a0d8c4321ee4594": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 1 1 --resolution 1920x1080 --spp 1 --renderer pathtracer", "description": "Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 142, "test_run_times": [ 70.7399999999999948840923025272786617279052734375 ] }, "b": { "value": 141, "test_run_times": [ 70.4800000000000039790393202565610408782958984375 ] } } }, "421721b6ff3ad3e06131ca5667bb283fe7e7415d": { "identifier": "pts\/onednn-3.4.0", "title": "oneDNN", "app_version": "3.4", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --engine=cpu", "description": "Harness: Recurrent Neural Network Inference - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 833.8909999999999627107172273099422454833984375, "min_result": [ "829.36" ], "test_run_times": [ 75.18999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 839.2910000000000536601874046027660369873046875, "min_result": [ "834.68" ], "test_run_times": [ 75.1299999999999954525264911353588104248046875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "8fa2d0a82ac332c4ef6549917b0ac57133ad2bef": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/handwritten-english-recognition-0001\/FP16-INT8\/handwritten-english-recognition-0001.xml -d CPU", "description": "Model: Handwritten English Recognition FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 6016.3900000000003274180926382541656494140625, "test_run_times": [ 61.6700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 5979.7200000000002546585164964199066162109375, "test_run_times": [ 61.52000000000000312638803734444081783294677734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "7f69eb040a48b72e4c333b43507f955ff1fbb4cd": { "identifier": "pts\/namd-1.3.1", "title": "NAMD", "app_version": "3.0b6", "arguments": "..\/stmv\/stmv.namd", "description": "Input: STMV with 1,066,628 Atoms", "scale": "ns\/day", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 6.4815100000000001045918907038867473602294921875, "raw_values": [ 6.48151148847910008043982088565826416015625 ], "test_run_times": [ 134.3600000000000136424205265939235687255859375 ] }, "b": { "value": 6.443509999999999848796505830250680446624755859375, "raw_values": [ 6.4435065562679003647872377769090235233306884765625 ], "test_run_times": [ 95.81000000000000227373675443232059478759765625 ] } } }, "32b8b5f8d5f2a35ed2e2bdc82a750b93dd81684f": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-0206\/FP16\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 108.3700000000000045474735088646411895751953125, "test_run_times": [ 64.909999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 108.9899999999999948840923025272786617279052734375, "test_run_times": [ 64.9200000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "409eb096d7b960e19b85e7333d63c2f2f84141c4": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 2 2 --resolution 1920x1080 --spp 32 --renderer pathtracer", "description": "Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 4517, "test_run_times": [ 84.56999999999999317878973670303821563720703125 ] }, "b": { "value": 4542, "test_run_times": [ 80.18000000000000682121026329696178436279296875 ] } } }, "c7fbd53070ed003193076d53e9953a24e774b62a": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 1 1 --resolution 3840x2160 --spp 1 --renderer pathtracer", "description": "Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 553, "test_run_times": [ 61.97999999999999687361196265555918216705322265625 ] }, "b": { "value": 556, "test_run_times": [ 63.22999999999999687361196265555918216705322265625 ] } } }, "540e17b4eefac4600a6b3b92fdd37fedd24ffc14": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 2 2 --resolution 3840x2160 --spp 1 --renderer pathtracer", "description": "Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 560, "test_run_times": [ 63.10000000000000142108547152020037174224853515625 ] }, "b": { "value": 563, "test_run_times": [ 63.0799999999999982946974341757595539093017578125 ] } } }, "61323a805097facb328574a3e5fd18d588f74ff9": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 2 2 --resolution 1920x1080 --spp 16 --renderer pathtracer", "description": "Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2257, "test_run_times": [ 73.159999999999996589394868351519107818603515625 ] }, "b": { "value": 2269, "test_run_times": [ 73.2699999999999960209606797434389591217041015625 ] } } }, "1d2130fee6c1b2a603517829f619dc4bd23cd273": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-0206\/FP16\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 441.6499999999999772626324556767940521240234375, "min_result": [ "405.47" ], "max_result": [ "471.72" ], "test_run_times": [ 64.909999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 439.32999999999998408384271897375583648681640625, "min_result": [ "401.83" ], "max_result": [ "468.64" ], "test_run_times": [ 64.9200000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "c0d72dcc3b2e47ed43591f2c8e0f14e4030eb5dc": { "identifier": "pts\/ospray-3.1.0", "title": "OSPRay", "app_version": "3.1", "arguments": "--benchmark_filter=particle_volume\/ao\/real_time", "description": "Benchmark: particle_volume\/ao\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 56.1672999999999973397279973141849040985107421875, "test_run_times": [ 121.2699999999999960209606797434389591217041015625 ] }, "b": { "value": 55.88669999999999760120772407390177249908447265625, "test_run_times": [ 120.969999999999998863131622783839702606201171875 ] } } }, "f41e3724007a313a3b7638be25fd873b6e958211": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 3 3 --resolution 1920x1080 --spp 32 --renderer pathtracer", "description": "Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 5287, "test_run_times": [ 85.3299999999999982946974341757595539093017578125 ] }, "b": { "value": 5262, "test_run_times": [ 84.56999999999999317878973670303821563720703125 ] } } }, "cd4933f31e8353d0f1b1ffd5dd3fcce411ea9469": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/handwritten-english-recognition-0001\/FP16-INT8\/handwritten-english-recognition-0001.xml -d CPU", "description": "Model: Handwritten English Recognition FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 31.82000000000000028421709430404007434844970703125, "min_result": [ "28.56" ], "max_result": [ "49.5" ], "test_run_times": [ 61.6700000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 31.969999999999998863131622783839702606201171875, "min_result": [ "28.46" ], "max_result": [ "47.03" ], "test_run_times": [ 61.52000000000000312638803734444081783294677734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "10973c6b29d24982e23cae39ffc16a01e6ee0044": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 1 1 --resolution 3840x2160 --spp 32 --renderer pathtracer", "description": "Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 17575, "test_run_times": [ 69.590000000000003410605131648480892181396484375 ] }, "b": { "value": 17656, "test_run_times": [ 69.25 ] } } }, "ba6d546f95fa5fd5b2190e1e49f2717dd5b7e946": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/machine-translation-nar-en-de-0002\/FP16\/machine-translation-nar-en-de-0002.xml -d CPU", "description": "Model: Machine Translation EN To DE FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1117.430000000000063664629124104976654052734375, "test_run_times": [ 62.22999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 1122.51999999999998181010596454143524169921875, "test_run_times": [ 62.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "50ec583573103f8e020b1fdf5af0d6623632b4e8": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/machine-translation-nar-en-de-0002\/FP16\/machine-translation-nar-en-de-0002.xml -d CPU", "description": "Model: Machine Translation EN To DE FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 42.8900000000000005684341886080801486968994140625, "min_result": [ "33.95" ], "max_result": [ "102.99" ], "test_run_times": [ 62.22999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 42.7000000000000028421709430404007434844970703125, "min_result": [ "33.84" ], "max_result": [ "106.28" ], "test_run_times": [ 62.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "e3f703f0d3333d185951a74950cbb3f67c7b2eaa": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-reidentification-retail-0277\/FP16\/person-reidentification-retail-0277.xml -d CPU", "description": "Model: Person Re-Identification Retail FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 12690.899999999999636202119290828704833984375, "test_run_times": [ 61.909999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 12742.940000000000509317032992839813232421875, "test_run_times": [ 61.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "68e43c32d622f5e26834ee9701c4e921d833f65f": { "identifier": "pts\/encode-wavpack-1.5.0", "title": "WavPack Audio Encoding", "app_version": "5.7", "description": "WAV To WavPack", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 5.13300000000000000710542735760100185871124267578125, "test_run_times": [ 5.12999999999999989341858963598497211933135986328125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "" } } }, "b": { "value": 5.11300000000000043343106881366111338138580322265625, "test_run_times": [ 5.11000000000000031974423109204508364200592041015625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "" } } } } }, "cb3fb067872f0ca9cc8da9180102ca3727d399f2": { "identifier": "pts\/namd-1.3.1", "title": "NAMD", "app_version": "3.0b6", "arguments": "..\/f1atpase\/f1atpase.namd", "description": "Input: ATPase with 327,506 Atoms", "scale": "ns\/day", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 20.889430000000000831050783745013177394866943359375, "raw_values": [ 20.889430157235000962145932135172188282012939453125 ], "test_run_times": [ 95.3799999999999954525264911353588104248046875 ] }, "b": { "value": 20.968579999999999330384525819681584835052490234375, "raw_values": [ 20.96858067871099962076186784543097019195556640625 ], "test_run_times": [ 58.47999999999999687361196265555918216705322265625 ] } } }, "976b0e252590fd2de1793efe4ddfd8dd96e83054": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/noise-suppression-poconetlike-0001\/FP16\/noise-suppression-poconetlike-0001.xml -d CPU", "description": "Model: Noise Suppression Poconet-Like FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 23.42999999999999971578290569595992565155029296875, "min_result": [ "9.64" ], "max_result": [ "60.14" ], "test_run_times": [ 67.7300000000000039790393202565610408782958984375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 23.510000000000001563194018672220408916473388671875, "min_result": [ "9.74" ], "max_result": [ "57.84" ], "test_run_times": [ 67.5100000000000051159076974727213382720947265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "051226dc547374b226cf9cff81291ebe4552d7ed": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 3 3 --resolution 3840x2160 --spp 1 --renderer pathtracer", "description": "Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 653, "test_run_times": [ 65.469999999999998863131622783839702606201171875 ] }, "b": { "value": 651, "test_run_times": [ 63.32000000000000028421709430404007434844970703125 ] } } }, "8c832b6d86ba93b505b3b57c0506b08de56eff43": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-retail-0005\/FP16\/face-detection-retail-0005.xml -d CPU", "description": "Model: Face Detection Retail FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 23360.27000000000043655745685100555419921875, "test_run_times": [ 60.85000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 23431.00999999999839928932487964630126953125, "test_run_times": [ 60.840000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "d51966d977cc221e2820adffe6ce4d8ca803d450": { "identifier": "pts\/ospray-3.1.0", "title": "OSPRay", "app_version": "3.1", "arguments": "--benchmark_filter=particle_volume\/scivis\/real_time", "description": "Benchmark: particle_volume\/scivis\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 55.76639999999999730562194599770009517669677734375, "test_run_times": [ 169.05000000000001136868377216160297393798828125 ] }, "b": { "value": 55.933999999999997498889570124447345733642578125, "test_run_times": [ 169.020000000000010231815394945442676544189453125 ] } } }, "d8a158c9d5cf7db0d9c36abbcd79d2f6c457c0e8": { "identifier": "pts\/onednn-3.4.0", "title": "oneDNN", "app_version": "3.4", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 31.243900000000000005684341886080801486968994140625, "min_result": [ "29.59" ], "test_run_times": [ 21.260000000000001563194018672220408916473388671875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 31.156099999999998573230186593718826770782470703125, "min_result": [ "29.21" ], "test_run_times": [ 21.239999999999998436805981327779591083526611328125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "729e0b636bc9a1cf001d45bcd50e595578122bf3": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 1 1 --resolution 1920x1080 --spp 16 --renderer pathtracer", "description": "Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2237, "test_run_times": [ 74.9500000000000028421709430404007434844970703125 ] }, "b": { "value": 2243, "test_run_times": [ 70.2600000000000051159076974727213382720947265625 ] } } }, "8bd67f86ce261be3857234fd3c2fff2ee799c30b": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-reidentification-retail-0277\/FP16\/person-reidentification-retail-0277.xml -d CPU", "description": "Model: Person Re-Identification Retail FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3.770000000000000017763568394002504646778106689453125, "min_result": [ "3.45" ], "max_result": [ "15.91" ], "test_run_times": [ 61.909999999999996589394868351519107818603515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 3.7599999999999997868371792719699442386627197265625, "min_result": [ "3.48" ], "max_result": [ "16.09" ], "test_run_times": [ 61.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "42c0f2280803335f6d75e34f77ca0703ed7876f4": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 1 1 --resolution 3840x2160 --spp 16 --renderer pathtracer", "description": "Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 8822, "test_run_times": [ 96.150000000000005684341886080801486968994140625 ] }, "b": { "value": 8800, "test_run_times": [ 95.719999999999998863131622783839702606201171875 ] } } }, "2c9b30684eb9be6e1d4e9d3ff507618f242ebf69": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16-INT8\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 9.1400000000000005684341886080801486968994140625, "min_result": [ "8.26" ], "max_result": [ "45.4" ], "test_run_times": [ 61.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 9.1199999999999992184029906638897955417633056640625, "min_result": [ "8.3" ], "max_result": [ "30.16" ], "test_run_times": [ 61.0499999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "5f36751e30897bcaf0d2a5ab64c6ad35a3d25031": { "identifier": "pts\/ospray-3.1.0", "title": "OSPRay", "app_version": "3.1", "arguments": "--benchmark_filter=gravity_spheres_volume\/dim_512\/pathtracer\/real_time", "description": "Benchmark: gravity_spheres_volume\/dim_512\/pathtracer\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 61.05239999999999866986399865709245204925537109375, "test_run_times": [ 67.5400000000000062527760746888816356658935546875 ] }, "b": { "value": 60.9234000000000008867573342286050319671630859375, "test_run_times": [ 67.2900000000000062527760746888816356658935546875 ] } } }, "75a8369ebe10881e6ce0e6d3dfd6ab6895f9a775": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 1 1 --resolution 1920x1080 --spp 32 --renderer pathtracer", "description": "Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 4490, "test_run_times": [ 79.780000000000001136868377216160297393798828125 ] }, "b": { "value": 4481, "test_run_times": [ 78.93000000000000682121026329696178436279296875 ] } } }, "e4408fef85871c99580c54436675d1b45e1251a8": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16-INT8\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 20802.63000000000101863406598567962646484375, "test_run_times": [ 61.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 20840.54999999999927240423858165740966796875, "test_run_times": [ 61.0499999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "53d632fc792ea335b5908abc5239760e8a9a355c": { "identifier": "pts\/ospray-3.1.0", "title": "OSPRay", "app_version": "3.1", "arguments": "--benchmark_filter=particle_volume\/pathtracer\/real_time", "description": "Benchmark: particle_volume\/pathtracer\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 195.027999999999991587174008600413799285888671875, "test_run_times": [ 144.990000000000009094947017729282379150390625 ] }, "b": { "value": 195.330000000000012505552149377763271331787109375, "test_run_times": [ 145.080000000000012505552149377763271331787109375 ] } } }, "5db5f3028db3cc9d4a975c2385d20336d8ff30da": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/road-segmentation-adas-0001\/FP16\/road-segmentation-adas-0001.xml -d CPU", "description": "Model: Road Segmentation ADAS FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 13.6300000000000007815970093361102044582366943359375, "min_result": [ "12.45" ], "max_result": [ "42.76" ], "test_run_times": [ 61.75999999999999801048033987171947956085205078125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 13.6099999999999994315658113919198513031005859375, "min_result": [ "12.86" ], "max_result": [ "42.86" ], "test_run_times": [ 61.8599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "66ea40a638235f6b0d3b246a9cf79de44ed12b38": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/handwritten-english-recognition-0001\/FP16\/handwritten-english-recognition-0001.xml -d CPU", "description": "Model: Handwritten English Recognition FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 34.11999999999999744204615126363933086395263671875, "min_result": [ "29.55" ], "max_result": [ "61.6" ], "test_run_times": [ 61.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 34.1700000000000017053025658242404460906982421875, "min_result": [ "29.72" ], "max_result": [ "60.87" ], "test_run_times": [ 61.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "b9f585235f1d6912f1b5a5033a5be06fe1e18bc0": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/handwritten-english-recognition-0001\/FP16\/handwritten-english-recognition-0001.xml -d CPU", "description": "Model: Handwritten English Recognition FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 5603.739999999999781721271574497222900390625, "test_run_times": [ 61.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 5595.649999999999636202119290828704833984375, "test_run_times": [ 61.42999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "2cda0f5be8e2948f97aafcf5ce9bc815ca6f94c9": { "identifier": "pts\/ospray-3.1.0", "title": "OSPRay", "app_version": "3.1", "arguments": "--benchmark_filter=gravity_spheres_volume\/dim_512\/ao\/real_time", "description": "Benchmark: gravity_spheres_volume\/dim_512\/ao\/real_time", "scale": "Items Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 50.73490000000000321733750752173364162445068359375, "test_run_times": [ 71.5499999999999971578290569595992565155029296875 ] }, "b": { "value": 50.66409999999999769215719425119459629058837890625, "test_run_times": [ 71.2000000000000028421709430404007434844970703125 ] } } }, "ef5ebf898d620be77fce510aa85ef7ffda6cc670": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16-INT8\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 11829.329999999999927240423858165740966796875, "test_run_times": [ 60.97999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 11812.889999999999417923390865325927734375, "test_run_times": [ 60.97999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "293b58e5e89d92957e1ff0a692cfee08ef3d861a": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 3 3 --resolution 3840x2160 --spp 32 --renderer pathtracer", "description": "Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 20881, "test_run_times": [ 79.599999999999994315658113919198513031005859375 ] }, "b": { "value": 20910, "test_run_times": [ 78.9800000000000039790393202565610408782958984375 ] } } }, "3eb9b2c69921d64d21dee110abbdf439cfee6129": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-detection-0303\/FP16\/person-detection-0303.xml -d CPU", "description": "Model: Person Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1111.3699999999998908606357872486114501953125, "test_run_times": [ 62.7999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 1109.8699999999998908606357872486114501953125, "test_run_times": [ 62.89999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "4cb8fbb57b6f64b0e652dfbe64811914fe7fbe7a": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-detection-0303\/FP16\/person-detection-0303.xml -d CPU", "description": "Model: Person Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 43.159999999999996589394868351519107818603515625, "min_result": [ "38.1" ], "max_result": [ "91.21" ], "test_run_times": [ 62.7999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 43.21000000000000085265128291212022304534912109375, "min_result": [ "36.27" ], "max_result": [ "90.96" ], "test_run_times": [ 62.89999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "70688f9efd044c1bbdaa2bf3ef6d3f9f3c49c904": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 17.910000000000000142108547152020037174224853515625, "min_result": [ "16.19" ], "max_result": [ "77.95" ], "test_run_times": [ 61.24000000000000198951966012828052043914794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 17.8900000000000005684341886080801486968994140625, "min_result": [ "16.22" ], "max_result": [ "64.03" ], "test_run_times": [ 61.22999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "39bcbd3caa5d83c6a507caef5658b64f38f7260f": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/road-segmentation-adas-0001\/FP16-INT8\/road-segmentation-adas-0001.xml -d CPU", "description": "Model: Road Segmentation ADAS FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 4057.44000000000005456968210637569427490234375, "test_run_times": [ 61.64999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 4053.26999999999998181010596454143524169921875, "test_run_times": [ 61.719999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "244c3be0c8c1cad444f1b2b747182f94476e0c01": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/road-segmentation-adas-0001\/FP16\/road-segmentation-adas-0001.xml -d CPU", "description": "Model: Road Segmentation ADAS FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3519.329999999999927240423858165740966796875, "test_run_times": [ 61.75999999999999801048033987171947956085205078125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 3522.67999999999983629095368087291717529296875, "test_run_times": [ 61.8599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "ffa83ed4986dbaaef52106cba2862a964071520d": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-detection-0303\/FP32\/person-detection-0303.xml -d CPU", "description": "Model: Person Detection FP32 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1108.670000000000072759576141834259033203125, "test_run_times": [ 62.88000000000000255795384873636066913604736328125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 1109.7100000000000363797880709171295166015625, "test_run_times": [ 62.85000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "1bdb640b4d6fad63fd6c53a68dc05091c0decfc3": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-detection-0303\/FP32\/person-detection-0303.xml -d CPU", "description": "Model: Person Detection FP32 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 43.25999999999999801048033987171947956085205078125, "min_result": [ "40.33" ], "max_result": [ "92.4" ], "test_run_times": [ 62.88000000000000255795384873636066913604736328125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 43.219999999999998863131622783839702606201171875, "min_result": [ "40.47" ], "max_result": [ "91.64" ], "test_run_times": [ 62.85000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "8c3fef7209eefa6087080aada1088a814f13e30e": { "identifier": "pts\/jpegxl-decode-1.6.0", "title": "JPEG-XL Decoding libjxl", "app_version": "0.10.1", "arguments": "--num_threads=1 --num_reps=90", "description": "CPU Threads: 1", "scale": "MP\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 58.046999999999997044142219237983226776123046875, "test_run_times": [ 44.36999999999999744204615126363933086395263671875 ] }, "b": { "value": 57.993999999999999772626324556767940521240234375, "test_run_times": [ 44.39999999999999857891452847979962825775146484375 ] } } }, "0ecbed3eb99895cc9b3d8b52f50b1f3c7cfab3a5": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/road-segmentation-adas-0001\/FP16-INT8\/road-segmentation-adas-0001.xml -d CPU", "description": "Model: Road Segmentation ADAS FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 11.82000000000000028421709430404007434844970703125, "min_result": [ "11.25" ], "max_result": [ "37.52" ], "test_run_times": [ 61.64999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 11.8300000000000000710542735760100185871124267578125, "min_result": [ "11.25" ], "max_result": [ "37.04" ], "test_run_times": [ 61.719999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "6348e41c0486e9d244591378c1011813fce63b55": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 8287.120000000000800355337560176849365234375, "test_run_times": [ 60.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 8292.4300000000002910383045673370361328125, "test_run_times": [ 60.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "78fd2aaa661d27fe5e4ef2f9b67aa745bd2cbe29": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-retail-0005\/FP16-INT8\/face-detection-retail-0005.xml -d CPU", "description": "Model: Face Detection Retail FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 36086.669999999998253770172595977783203125, "test_run_times": [ 62.39999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 36103.889999999999417923390865325927734375, "test_run_times": [ 62.3599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "3655ad6c2c0717d786f10be04217cc761cac0f98": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-0206\/FP16-INT8\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 232.580000000000012505552149377763271331787109375, "min_result": [ "206.74" ], "max_result": [ "260.28" ], "test_run_times": [ 64.590000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 232.479999999999989768184605054557323455810546875, "min_result": [ "206.2" ], "max_result": [ "253.23" ], "test_run_times": [ 64.5199999999999960209606797434389591217041015625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "d64af70d0a8496e6eb9b596a0e7400cad8c1b2a9": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-vehicle-bike-detection-2004\/FP16\/person-vehicle-bike-detection-2004.xml -d CPU", "description": "Model: Person Vehicle Bike Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 9837.889999999999417923390865325927734375, "test_run_times": [ 62.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 9834.04999999999927240423858165740966796875, "test_run_times": [ 62.18999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "9c01b181c9d199d85d71402aff66f746b7714e32": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/weld-porosity-detection-0001\/FP16\/weld-porosity-detection-0001.xml -d CPU", "description": "Model: Weld Porosity Detection FP16 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 10636.600000000000363797880709171295166015625, "test_run_times": [ 61.24000000000000198951966012828052043914794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 10639.34000000000014551915228366851806640625, "test_run_times": [ 61.22999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "412841ac0ed04f29999a48673b0e9d9f8a57f093": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 2 2 --resolution 3840x2160 --spp 16 --renderer pathtracer", "description": "Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 8852, "test_run_times": [ 96.840000000000003410605131648480892181396484375 ] }, "b": { "value": 8850, "test_run_times": [ 96.0400000000000062527760746888816356658935546875 ] } } }, "f9e400ea00c4bbe86d3e2c5f8638c242546d68e5": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-0206\/FP16-INT8\/face-detection-0206.xml -d CPU", "description": "Model: Face Detection FP16-INT8 - Device: CPU", "scale": "FPS", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 205.900000000000005684341886080801486968994140625, "test_run_times": [ 64.590000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 205.93000000000000682121026329696178436279296875, "test_run_times": [ 64.5199999999999960209606797434389591217041015625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "8e28873851110ec5912d847d816c7819ec54786e": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16-INT8\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.340000000000000024424906541753443889319896697998046875, "min_result": [ "0.32" ], "max_result": [ "46.36" ], "test_run_times": [ 61.340000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 0.340000000000000024424906541753443889319896697998046875, "min_result": [ "0.32" ], "max_result": [ "48.41" ], "test_run_times": [ 61.280000000000001136868377216160297393798828125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "ab0d3b7ab0e0ab14f7e8680a0eb87c4cac32b0bf": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/age-gender-recognition-retail-0013\/FP16\/age-gender-recognition-retail-0013.xml -d CPU", "description": "Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.5300000000000000266453525910037569701671600341796875, "min_result": [ "0.5" ], "max_result": [ "46.35" ], "test_run_times": [ 61.39999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 0.5300000000000000266453525910037569701671600341796875, "min_result": [ "0.5" ], "max_result": [ "86.97" ], "test_run_times": [ 61.3900000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "4d33b1c584d9f242524aff46a9da07c3f6de1835": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/person-vehicle-bike-detection-2004\/FP16\/person-vehicle-bike-detection-2004.xml -d CPU", "description": "Model: Person Vehicle Bike Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 4.87000000000000010658141036401502788066864013671875, "min_result": [ "4.43" ], "max_result": [ "20.42" ], "test_run_times": [ 62.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 4.87000000000000010658141036401502788066864013671875, "min_result": [ "4.34" ], "max_result": [ "21.18" ], "test_run_times": [ 62.18999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "efa2e3c280af7989338a47bec0ad4ad0319a3101": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-retail-0005\/FP16-INT8\/face-detection-retail-0005.xml -d CPU", "description": "Model: Face Detection Retail FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 5.29000000000000003552713678800500929355621337890625, "min_result": [ "4.76" ], "max_result": [ "23.73" ], "test_run_times": [ 62.39999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 5.29000000000000003552713678800500929355621337890625, "min_result": [ "4.91" ], "max_result": [ "29.8" ], "test_run_times": [ 62.3599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "1e3eacffeee827ecc1b2bf7f03e3c28899a29cef": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16-INT8\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16-INT8 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 4.04999999999999982236431605997495353221893310546875, "min_result": [ "3.58" ], "max_result": [ "22.18" ], "test_run_times": [ 60.97999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 4.04999999999999982236431605997495353221893310546875, "min_result": [ "3.58" ], "max_result": [ "25.08" ], "test_run_times": [ 60.97999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "bd238715291b19980aa2f4d39cd00cdc98d02e69": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/face-detection-retail-0005\/FP16\/face-detection-retail-0005.xml -d CPU", "description": "Model: Face Detection Retail FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2.04000000000000003552713678800500929355621337890625, "min_result": [ "1.77" ], "max_result": [ "17.43" ], "test_run_times": [ 60.85000000000000142108547152020037174224853515625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 2.04000000000000003552713678800500929355621337890625, "min_result": [ "1.79" ], "max_result": [ "19.88" ], "test_run_times": [ 60.840000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "7ac57cfe0b1c888c9c181c431b7cb60b1043ab54": { "identifier": "pts\/openvino-1.5.0", "title": "OpenVINO", "app_version": "2024.0", "arguments": "-m models\/intel\/vehicle-detection-0202\/FP16\/vehicle-detection-0202.xml -d CPU", "description": "Model: Vehicle Detection FP16 - Device: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 5.78000000000000024868995751603506505489349365234375, "min_result": [ "4.87" ], "max_result": [ "31.33" ], "test_run_times": [ 60.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } }, "b": { "value": 5.78000000000000024868995751603506505489349365234375, "min_result": [ "4.86" ], "max_result": [ "29.83" ], "test_run_times": [ 60.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl" } } } } }, "ef137915994c7faff619824ba7dc30d6b464ce48": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 3 3 --resolution 1920x1080 --spp 1 --renderer pathtracer", "description": "Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 166, "test_run_times": [ 72.31999999999999317878973670303821563720703125 ] }, "b": { "value": 166, "test_run_times": [ 72.7099999999999937472239253111183643341064453125 ] } } }, "a5cacd759b04eb4a15c8062be303388fd6db22d8": { "identifier": "pts\/ospray-studio-1.3.0", "title": "OSPRay Studio", "app_version": "1.0", "arguments": "--cameras 2 2 --resolution 1920x1080 --spp 1 --renderer pathtracer", "description": "Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 142, "test_run_times": [ 69.0100000000000051159076974727213382720947265625 ] }, "b": { "value": 142, "test_run_times": [ 70.5199999999999960209606797434389591217041015625 ] } } } } }