9684x ne

Tests for a future article. 2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2310150-NE-9684XNE5490
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:

Creator Workloads 4 Tests
Game Development 2 Tests
Multi-Core 4 Tests
Intel oneAPI 4 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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
October 15 2023
  2 Hours, 49 Minutes
b
October 15 2023
  41 Minutes
Invert Hiding All Results Option
  1 Hour, 45 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": "9684x ne", "last_modified": "2023-10-15 17:29:03", "description": "Tests for a future article. 2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 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_MTFDKCC3T2TFS", "Graphics": "ASPEED", "Network": "Broadcom NetXtreme BCM5720 PCIe" }, "software": { "OS": "Ubuntu 23.10", "Kernel": "6.6.0-060600rc1-generic (x86_64)", "Desktop": "GNOME Shell", "Display Server": "X Server 1.21.1.7", "Compiler": "GCC 13.2.0", "File-System": "ext4", "Screen Resolution": "1920x1200" }, "user": "phoronix", "timestamp": "2023-10-15 13:19:16", "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,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-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-13-nEN1TP\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-nEN1TP\/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v", "cpu-scaling-governor": "acpi-cpufreq performance (Boost: Enabled)", "cpu-microcode": "0xa10113e", "kernel-extra-details": "Transparent Huge Pages: madvise", "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_MTFDKCC3T2TFS", "Graphics": "ASPEED", "Network": "Broadcom NetXtreme BCM5720 PCIe" }, "software": { "OS": "Ubuntu 23.10", "Kernel": "6.6.0-060600rc1-generic (x86_64)", "Desktop": "GNOME Shell", "Display Server": "X Server 1.21.1.7", "Compiler": "GCC 13.2.0", "File-System": "ext4", "Screen Resolution": "1920x1200" }, "user": "phoronix", "timestamp": "2023-10-15 16:22:28", "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,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-defaulted --enable-offload-targets=nvptx-none=\/build\/gcc-13-nEN1TP\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-nEN1TP\/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v", "cpu-scaling-governor": "acpi-cpufreq performance (Boost: Enabled)", "cpu-microcode": "0xa10113e", "kernel-extra-details": "Transparent Huge Pages: madvise", "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": { "363d16b60708ca6b8c24056d3c4ab578458e6f08": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=f32 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.48080299999999998039612592037883587181568145751953125, "raw_values": [ 0.483501000000000014100720591159188188612461090087890625, 0.47260000000000002007283228522283025085926055908203125, 0.486306999999999989281462831058888696134090423583984375 ], "min_result": [ "0.41" ], "test_run_times": [ 6.3300000000000000710542735760100185871124267578125, 6.3300000000000000710542735760100185871124267578125, 6.3300000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.509184999999999998721023075631819665431976318359375, "min_result": [ "0.45" ], "test_run_times": [ 6.3300000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "0bc0e6ace0eaa158a455741aeb17edf88e437503": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=f32 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 4.40650999999999992695620676386170089244842529296875, "raw_values": [ 4.41957000000000022055246517993509769439697265625, 4.4163300000000003109335011686198413372039794921875, 4.383630000000000137561073643155395984649658203125 ], "min_result": [ "3.53" ], "test_run_times": [ 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 4.1977700000000002233946361229754984378814697265625, "min_result": [ "3.46" ], "test_run_times": [ 9.46000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "8b8be1e8e9cbbe056f039e40f72c9d470f8c8ba2": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=u8s8f32 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.85188699999999994982857742797932587563991546630859375, "raw_values": [ 0.8568949999999999622701807311386801302433013916015625, 0.83790299999999995339550196149502880871295928955078125, 0.86086200000000001608668753760866820812225341796875 ], "min_result": [ "0.7" ], "test_run_times": [ 9.339999999999999857891452847979962825775146484375, 9.3599999999999994315658113919198513031005859375, 9.3499999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.8182650000000000201083594220108352601528167724609375, "min_result": [ "0.69" ], "test_run_times": [ 9.339999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "f68efe9a9da59b165a5f9e05021d2178602d0fc3": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.372487000000000012533973858808167278766632080078125, "raw_values": [ 0.366925000000000001154631945610162802040576934814453125, 0.36591899999999999426592012241599150002002716064453125, 0.383946999999999982744469662065966986119747161865234375, 0.373155999999999987704057957671466283500194549560546875 ], "min_result": [ "0.33" ], "test_run_times": [ 6.269999999999999573674358543939888477325439453125, 6.269999999999999573674358543939888477325439453125, 6.2599999999999997868371792719699442386627197265625, 6.269999999999999573674358543939888477325439453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.38682600000000000317612602884764783084392547607421875, "min_result": [ "0.35" ], "test_run_times": [ 6.269999999999999573674358543939888477325439453125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "ed6658f82bef65ad0c8fb4d1cf5907cfb6573da8": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --cfg=f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2131.260000000000218278728425502777099609375, "raw_values": [ 2154.6999999999998181010596454143524169921875, 2108.78000000000020008883439004421234130859375, 2130.3000000000001818989403545856475830078125 ], "min_result": [ "2090.72" ], "test_run_times": [ 84.340000000000003410605131648480892181396484375, 84.0100000000000051159076974727213382720947265625, 84.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 2062.2899999999999636202119290828704833984375, "min_result": [ "2023.87" ], "test_run_times": [ 84.2399999999999948840923025272786617279052734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "2d89ffd2907be039dcc1d7de4f643c5acc439e6f": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--ip --batch=inputs\/ip\/shapes_3d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3.44728000000000012192913345643319189548492431640625, "raw_values": [ 3.5255700000000000926547727431170642375946044921875, 3.6005500000000001392663762089796364307403564453125, 3.330340000000000078017592386459000408649444580078125, 3.596290000000000208757455766317434608936309814453125, 3.44263999999999992240873325499705970287322998046875, 3.42241000000000017422507880837656557559967041015625, 3.46257999999999999118927007657475769519805908203125, 3.506749999999999811706175023573450744152069091796875, 3.367039999999999810853523740661330521106719970703125, 3.17476000000000002643218977027572691440582275390625, 3.508570000000000188578042070730589330196380615234375, 3.34414999999999995594635038287378847599029541015625, 3.418550000000000199662508748588152229785919189453125, 3.44779999999999997584154698415659368038177490234375, 3.5611399999999999721467247582040727138519287109375 ], "min_result": [ "2.55" ], "test_run_times": [ 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.46000000000000085265128291212022304534912109375, 9.449999999999999289457264239899814128875732421875, 9.46000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 3.557420000000000026574298317427746951580047607421875, "min_result": [ "2.68" ], "test_run_times": [ 9.449999999999999289457264239899814128875732421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "1501f3062e6788b26a2ade7216928bbde786122f": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2036.8800000000001091393642127513885498046875, "raw_values": [ 2057.15000000000009094947017729282379150390625, 2041.75, 2011.75 ], "min_result": [ "1993.78" ], "test_run_times": [ 84.150000000000005684341886080801486968994140625, 83.840000000000003410605131648480892181396484375, 83.8700000000000045474735088646411895751953125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 2096.03000000000020008883439004421234130859375, "min_result": [ "2065.34" ], "test_run_times": [ 83.969999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "e84750d98b1e91bf209234292b50be499851d1c5": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --cfg=f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.9487929999999999974846787154092453420162200927734375, "raw_values": [ 0.9562880000000000269011479758773930370807647705078125, 0.94581800000000004757794158649630844593048095703125, 0.9442720000000000002415845301584340631961822509765625 ], "min_result": [ "0.88" ], "test_run_times": [ 3.0800000000000000710542735760100185871124267578125, 3.0800000000000000710542735760100185871124267578125, 3.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.96914500000000003421263272684882394969463348388671875, "min_result": [ "0.88" ], "test_run_times": [ 3.089999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "07d572e409dabac7f4ff5bf1e7b0fd56b3106cf7": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--conv --batch=inputs\/conv\/shapes_auto --cfg=u8s8f32 --engine=cpu", "description": "Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.319809999999999983177900730879628099501132965087890625, "raw_values": [ 0.330185000000000006270539643082884140312671661376953125, 0.30739199999999999857180910112219862639904022216796875, 0.324573999999999973642417216979083605110645294189453125, 0.327176999999999995605293179323780350387096405029296875, 0.3093150000000000066080474425689317286014556884765625, 0.30848500000000000920152842809329740703105926513671875, 0.313226999999999977664089101381250657141208648681640625, 0.335152999999999978708586922948597930371761322021484375, 0.332542999999999977500664272156427614390850067138671875, 0.30907099999999998463096062550903297960758209228515625, 0.30761899999999997579180899265338666737079620361328125, 0.32644499999999998518518395940191112458705902099609375, 0.330759000000000025210056264768354594707489013671875, 0.324952999999999991853627534510451368987560272216796875, 0.310255000000000003002043058586423285305500030517578125 ], "min_result": [ "0.24" ], "test_run_times": [ 6.3499999999999996447286321199499070644378662109375, 6.339999999999999857891452847979962825775146484375, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375, 6.36000000000000031974423109204508364200592041015625, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375, 6.339999999999999857891452847979962825775146484375, 6.36000000000000031974423109204508364200592041015625, 6.3499999999999996447286321199499070644378662109375, 6.3499999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.326160999999999978715692350306198932230472564697265625, "min_result": [ "0.25" ], "test_run_times": [ 6.3499999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "f981a4b8ba2166c7496bfa95e38af6c31424244d": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1.5688299999999999467803490915684960782527923583984375, "raw_values": [ 1.594959999999999933351091385702602565288543701171875, 1.565090000000000092228447101661004126071929931640625, 1.546440000000000036806113712373189628124237060546875 ], "min_result": [ "1.26" ], "test_run_times": [ 21.14999999999999857891452847979962825775146484375, 21.14999999999999857891452847979962825775146484375, 21.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 1.5424800000000000732569560568663291633129119873046875, "min_result": [ "1.32" ], "test_run_times": [ 21.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "b67c02d43e9e7f544a54622e4289618f8a9fcfdf": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2070.84000000000014551915228366851806640625, "raw_values": [ 2025.859999999999899955582804977893829345703125, 2071.26999999999998181010596454143524169921875, 2115.38999999999987267074175179004669189453125 ], "min_result": [ "2009.72" ], "test_run_times": [ 83.8299999999999982946974341757595539093017578125, 84.2600000000000051159076974727213382720947265625, 84.18000000000000682121026329696178436279296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 2104.98000000000001818989403545856475830078125, "min_result": [ "2079.45" ], "test_run_times": [ 84.06000000000000227373675443232059478759765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "085b22050e3e79bfc91fd19165d4b3b93c355f2d": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1860.34999999999990905052982270717620849609375, "raw_values": [ 1860.359999999999899955582804977893829345703125, 1889.9600000000000363797880709171295166015625, 1830.720000000000027284841053187847137451171875 ], "min_result": [ "1812.41" ], "test_run_times": [ 84.75, 84.599999999999994315658113919198513031005859375, 84.4200000000000017053025658242404460906982421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 1831.259999999999990905052982270717620849609375, "min_result": [ "1812.15" ], "test_run_times": [ 84.4899999999999948840923025272786617279052734375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "4515956fffcd7bdc8b871455f80482abca89aae1": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.62581100000000000616040551904006861150264739990234375, "raw_values": [ 0.62758199999999997320543343448662199079990386962890625, 0.629054000000000002046363078989088535308837890625, 0.6207979999999999609627820973400957882404327392578125 ], "min_result": [ "0.55" ], "test_run_times": [ 3.0800000000000000710542735760100185871124267578125, 3.0800000000000000710542735760100185871124267578125, 3.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.61705699999999996663291312870569527149200439453125, "min_result": [ "0.55" ], "test_run_times": [ 3.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "0cb8df0a2bdaa8fb85aed4665c136a33eeb439bc": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --cfg=u8s8f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1817.579999999999927240423858165740966796875, "raw_values": [ 1856.930000000000063664629124104976654052734375, 1773.089999999999918145476840436458587646484375, 1822.73000000000001818989403545856475830078125 ], "min_result": [ "1756.95" ], "test_run_times": [ 84.650000000000005684341886080801486968994140625, 84.43999999999999772626324556767940521240234375, 84.31000000000000227373675443232059478759765625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 1798.180000000000063664629124104976654052734375, "min_result": [ "1779.28" ], "test_run_times": [ 84.340000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "1537b0cd1896cde4913b19e009650b3ac8c35045": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--deconv --batch=inputs\/deconv\/shapes_3d --cfg=u8s8f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.2756629999999999913740111878723837435245513916015625, "raw_values": [ 0.27333499999999999463540234501124359667301177978515625, 0.278934999999999988506971249080379493534564971923828125, 0.27471800000000001773514668457210063934326171875 ], "min_result": [ "0.26" ], "test_run_times": [ 3.100000000000000088817841970012523233890533447265625, 3.100000000000000088817841970012523233890533447265625, 3.100000000000000088817841970012523233890533447265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.27845500000000000806466005087713710963726043701171875, "min_result": [ "0.27" ], "test_run_times": [ 3.100000000000000088817841970012523233890533447265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "0a95c1ef22129a940b8a5cf3987a17c2a441afc2": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --cfg=u8s8f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 0.77731600000000000694200252837617881596088409423828125, "raw_values": [ 0.7741000000000000103028696685214526951313018798828125, 0.77171000000000000706990022081299684941768646240234375, 0.78613900000000003220890221200534142553806304931640625 ], "min_result": [ "0.57" ], "test_run_times": [ 21.14999999999999857891452847979962825775146484375, 21.14999999999999857891452847979962825775146484375, 21.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 0.77159999999999995257127238801331259310245513916015625, "min_result": [ "0.57" ], "test_run_times": [ 21.14999999999999857891452847979962825775146484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "306507ad356c5e0326c76df4715ce33aac6cd698": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--deconv --batch=inputs\/deconv\/shapes_1d --cfg=f32 --engine=cpu", "description": "Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 30.365300000000001290345608140341937541961669921875, "raw_values": [ 30.144400000000000972022462519817054271697998046875, 30.53059999999999973852027324028313159942626953125, 30.420899999999999607780409860424697399139404296875 ], "min_result": [ "28.2" ], "test_run_times": [ 21.21000000000000085265128291212022304534912109375, 21.219999999999998863131622783839702606201171875, 21.219999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 30.558800000000001517719283583573997020721435546875, "min_result": [ "28.84" ], "test_run_times": [ 21.21000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "2e562b5e77816dacdfd316a0158371d73de603d1": { "identifier": "pts\/embree-1.6.0", "title": "Embree", "app_version": "4.3", "arguments": "pathtracer -c asian_dragon_obj\/asian_dragon.ecs", "description": "Binary: Pathtracer - Model: Asian Dragon Obj", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 188.669900000000012596501619555056095123291015625, "raw_values": [ 189.568700000000006866684998385608196258544921875, 186.461000000000012732925824820995330810546875, 189.980099999999993087840266525745391845703125 ], "min_result": [ "178.28" ], "max_result": [ "200.84" ], "test_run_times": [ 13.0099999999999997868371792719699442386627197265625, 13.1899999999999995026200849679298698902130126953125, 13.0099999999999997868371792719699442386627197265625 ] }, "b": { "value": 189.7142000000000052750692702829837799072265625, "min_result": [ "183.29" ], "max_result": [ "200.72" ], "test_run_times": [ 12.9900000000000002131628207280300557613372802734375 ] } } }, "6f201c7dfb35d0c0337bdb178ffae7794a07d971": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--rnn --batch=inputs\/rnn\/perf_rnn_training --cfg=f32 --engine=cpu", "description": "Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1862.609999999999899955582804977893829345703125, "raw_values": [ 1830.829999999999927240423858165740966796875, 1877.299999999999954525264911353588104248046875, 1778.01999999999998181010596454143524169921875, 1898.94000000000005456968210637569427490234375, 1928.23000000000001818989403545856475830078125, 1871.549999999999954525264911353588104248046875, 1883.490000000000009094947017729282379150390625, 1827.7899999999999636202119290828704833984375, 1867.319999999999936335370875895023345947265625 ], "min_result": [ "1754.2" ], "test_run_times": [ 84.4800000000000039790393202565610408782958984375, 84.81999999999999317878973670303821563720703125, 84.2300000000000039790393202565610408782958984375, 84.8900000000000005684341886080801486968994140625, 85, 84.68999999999999772626324556767940521240234375, 84.780000000000001136868377216160297393798828125, 84.400000000000005684341886080801486968994140625, 84.68999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 1852.73000000000001818989403545856475830078125, "min_result": [ "1829.7" ], "test_run_times": [ 84.68999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "b9bacf5d4f5d869cba5c69cd055b428f99a2ec2f": { "identifier": "pts\/oidn-2.1.0", "title": "Intel Open Image Denoise", "app_version": "2.1", "arguments": "-r RTLightmap.hdr.4096x4096 -d cpu", "description": "Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only", "scale": "Images \/ Sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1.8899999999999999023003738329862244427204132080078125, "raw_values": [ 1.8933190450855998943069380402448587119579315185546875, 1.898451812546900097089519476867280900478363037109375, 1.892194131549099989086926143500022590160369873046875 ], "test_run_times": [ 16.559999999999998721023075631819665431976318359375, 16.519999999999999573674358543939888477325439453125, 16.57000000000000028421709430404007434844970703125 ] }, "b": { "value": 1.899999999999999911182158029987476766109466552734375, "raw_values": [ 1.8998331946455000451834393970784731209278106689453125 ], "test_run_times": [ 16.489999999999998436805981327779591083526611328125 ] } } }, "7f5d57e2bcc98b55951c45af9d2953092c007837": { "identifier": "pts\/oidn-2.1.0", "title": "Intel Open Image Denoise", "app_version": "2.1", "arguments": "-r RT.ldr_alb_nrm.3840x2160 -d cpu", "description": "Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only", "scale": "Images \/ Sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3.79999999999999982236431605997495353221893310546875, "raw_values": [ 3.799507583817100186962534280610270798206329345703125, 3.815454115348800190332667625625617802143096923828125, 3.79105235822409980528391315601766109466552734375 ], "test_run_times": [ 8.7200000000000006394884621840901672840118408203125, 8.699999999999999289457264239899814128875732421875, 8.7400000000000002131628207280300557613372802734375 ] }, "b": { "value": 3.779999999999999804600747665972448885440826416015625, "raw_values": [ 3.78272053260710006128419991000555455684661865234375 ], "test_run_times": [ 8.71000000000000085265128291212022304534912109375 ] } } }, "6143f5fa306dafdce2d02aa35b579eeda1593da4": { "identifier": "pts\/oidn-2.1.0", "title": "Intel Open Image Denoise", "app_version": "2.1", "arguments": "-r RT.hdr_alb_nrm.3840x2160 -d cpu", "description": "Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only", "scale": "Images \/ Sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3.779999999999999804600747665972448885440826416015625, "raw_values": [ 3.796507213363700117270127520896494388580322265625, 3.748828491096499959667198709212243556976318359375, 3.80255607819580010442450657137669622898101806640625 ], "test_run_times": [ 8.7200000000000006394884621840901672840118408203125, 8.82000000000000028421709430404007434844970703125, 8.71000000000000085265128291212022304534912109375 ] }, "b": { "value": 3.79999999999999982236431605997495353221893310546875, "raw_values": [ 3.803554040895800181232289105537347495555877685546875 ], "test_run_times": [ 8.6699999999999999289457264239899814128875732421875 ] } } }, "008e5eac15325de22fc93962d17bd49ab4609cef": { "identifier": "pts\/embree-1.6.0", "title": "Embree", "app_version": "4.3", "arguments": "pathtracer_ispc -c crown\/crown.ecs", "description": "Binary: Pathtracer ISPC - Model: Crown", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 200.4923000000000001818989403545856475830078125, "raw_values": [ 201.462999999999993860910763032734394073486328125, 199.71350000000001045918907038867473602294921875, 200.300399999999996225596987642347812652587890625 ], "min_result": [ "188.57" ], "max_result": [ "219.64" ], "test_run_times": [ 4.25, 4.29999999999999982236431605997495353221893310546875, 4.32000000000000028421709430404007434844970703125 ] }, "b": { "value": 199.712500000000005684341886080801486968994140625, "min_result": [ "188.89" ], "max_result": [ "218.34" ], "test_run_times": [ 4.29999999999999982236431605997495353221893310546875 ] } } }, "733bde69edfe2cd8fbeb6bd9782a71247f3c3eef": { "identifier": "pts\/embree-1.6.0", "title": "Embree", "app_version": "4.3", "arguments": "pathtracer_ispc -c asian_dragon\/asian_dragon.ecs", "description": "Binary: Pathtracer ISPC - Model: Asian Dragon", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 234.80680000000000973159330897033214569091796875, "raw_values": [ 235.423399999999986675902619026601314544677734375, 234.558999999999997498889570124447345733642578125, 234.4379000000000132786226458847522735595703125 ], "min_result": [ "223.76" ], "max_result": [ "253.29" ], "test_run_times": [ 4.03000000000000024868995751603506505489349365234375, 4.03000000000000024868995751603506505489349365234375, 4.03000000000000024868995751603506505489349365234375 ] }, "b": { "value": 233.9207000000000107320374809205532073974609375, "min_result": [ "224.01" ], "max_result": [ "248.26" ], "test_run_times": [ 4.03000000000000024868995751603506505489349365234375 ] } } }, "46487411e363f816a2bc5ed3e302dd7b1c2454b4": { "identifier": "pts\/embree-1.6.0", "title": "Embree", "app_version": "4.3", "arguments": "pathtracer_ispc -c asian_dragon_obj\/asian_dragon.ecs", "description": "Binary: Pathtracer ISPC - Model: Asian Dragon Obj", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 201.53419999999999845385900698602199554443359375, "raw_values": [ 201.8745000000000118234311230480670928955078125, 202.6354000000000041836756281554698944091796875, 200.09260000000000445652403868734836578369140625 ], "min_result": [ "189" ], "max_result": [ "214.5" ], "test_run_times": [ 12.7599999999999997868371792719699442386627197265625, 12.75, 12.82000000000000028421709430404007434844970703125 ] }, "b": { "value": 200.799900000000008049028110690414905548095703125, "min_result": [ "190.91" ], "max_result": [ "211.99" ], "test_run_times": [ 12.800000000000000710542735760100185871124267578125 ] } } }, "d2ed4bccbac663b28fd4ef310a853c353b069d7e": { "identifier": "pts\/embree-1.6.0", "title": "Embree", "app_version": "4.3", "arguments": "pathtracer -c asian_dragon\/asian_dragon.ecs", "description": "Binary: Pathtracer - Model: Asian Dragon", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 212.47849999999999681676854379475116729736328125, "raw_values": [ 212.9696999999999889041646383702754974365234375, 211.692800000000005411493475548923015594482421875, 212.77289999999999281499185599386692047119140625 ], "min_result": [ "203.46" ], "max_result": [ "225.48" ], "test_run_times": [ 4.339999999999999857891452847979962825775146484375, 4.37999999999999989341858963598497211933135986328125, 4.339999999999999857891452847979962825775146484375 ] }, "b": { "value": 212.0221999999999979991116560995578765869140625, "min_result": [ "205.37" ], "max_result": [ "221.09" ], "test_run_times": [ 4.3499999999999996447286321199499070644378662109375 ] } } }, "552a9f11d47b0924fd206cfa8b0c8bc1bdcefb59": { "identifier": "pts\/embree-1.6.0", "title": "Embree", "app_version": "4.3", "arguments": "pathtracer -c crown\/crown.ecs", "description": "Binary: Pathtracer - Model: Crown", "scale": "Frames Per Second", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 192.4859999999999899955582804977893829345703125, "raw_values": [ 193.434899999999998954081092961132526397705078125, 192.019100000000008776623872108757495880126953125, 192.00389999999998735802364535629749298095703125 ], "min_result": [ "181.49" ], "max_result": [ "212.32" ], "test_run_times": [ 4.4199999999999999289457264239899814128875732421875, 4.42999999999999971578290569595992565155029296875, 4.46999999999999975131004248396493494510650634765625 ] }, "b": { "value": 192.17279999999999517967808060348033905029296875, "min_result": [ "183.96" ], "max_result": [ "208.29" ], "test_run_times": [ 4.45000000000000017763568394002504646778106689453125 ] } } }, "3571f8fa5aa6531a355318f377eee287af16e0e6": { "identifier": "pts\/openvkl-2.0.0", "title": "OpenVKL", "app_version": "2.0.0", "arguments": "vklBenchmarkCPU --benchmark_filter=ispc", "description": "Benchmark: vklBenchmarkCPU ISPC", "scale": "Items \/ Sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3530, "raw_values": [ 3528, 3529, 3532 ], "min_result": [ "303" ], "max_result": [ "39315" ], "test_run_times": [ 751.98000000000001818989403545856475830078125, 753.200000000000045474735088646411895751953125, 754.2899999999999636202119290828704833984375 ] }, "b": { "value": 3529, "min_result": [ "305" ], "max_result": [ "39378" ], "test_run_times": [ 752.490000000000009094947017729282379150390625 ] } } }, "9879cefdc29d2a71045e38d8470c8353e9c3e1a2": { "identifier": "pts\/openvkl-2.0.0", "title": "OpenVKL", "app_version": "2.0.0", "arguments": "vklBenchmarkCPU --benchmark_filter=scalar", "description": "Benchmark: vklBenchmarkCPU Scalar", "scale": "Items \/ Sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1494, "raw_values": [ 1496, 1494, 1492 ], "min_result": [ "113" ], "max_result": [ "23868" ], "test_run_times": [ 763.9600000000000363797880709171295166015625, 763.779999999999972715158946812152862548828125, 764.509999999999990905052982270717620849609375 ] }, "b": { "value": 1494, "min_result": [ "114" ], "max_result": [ "23822" ], "test_run_times": [ 765.9199999999999590727384202182292938232421875 ] } } }, "fa7fa631e3df03dff9466cc55258fc43be1f5a04": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=bf16bf16bf16 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 32.1484999999999985220711096189916133880615234375, "raw_values": [ 29.1480999999999994543031789362430572509765625, 33.20810000000000172803993336856365203857421875, 34.44030000000000057980287238024175167083740234375, 34.3436999999999983401721692644059658050537109375, 34.24759999999999848796505830250680446624755859375, 30.309400000000000119371179607696831226348876953125, 34.3402999999999991587174008600413799285888671875, 34.27709999999999723740984336473047733306884765625, 33.795400000000000773070496506989002227783203125, 33.6356999999999999317878973670303821563720703125, 29.41029999999999944293449516408145427703857421875, 28.5157999999999987039700499735772609710693359375, 29.916599999999998971134118619374930858612060546875, 29.19160000000000110276232589967548847198486328125, 33.447800000000000864019966684281826019287109375 ], "min_result": [ "20.73" ], "test_run_times": [ 15.230000000000000426325641456060111522674560546875, 15.230000000000000426325641456060111522674560546875, 15.2200000000000006394884621840901672840118408203125, 15.230000000000000426325641456060111522674560546875, 15.230000000000000426325641456060111522674560546875, 15.230000000000000426325641456060111522674560546875, 15.230000000000000426325641456060111522674560546875, 15.2400000000000002131628207280300557613372802734375, 15.2200000000000006394884621840901672840118408203125, 15.2400000000000002131628207280300557613372802734375, 15.2200000000000006394884621840901672840118408203125, 15.230000000000000426325641456060111522674560546875, 15.2200000000000006394884621840901672840118408203125, 15.2200000000000006394884621840901672840118408203125, 15.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 33.91120000000000089812601800076663494110107421875, "min_result": [ "25.57" ], "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" } } } } }, "802bb5e4c1d955e66190cf49e00d2216a19a7bfd": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=u8s8f32 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 11.45806999999999931105776340700685977935791015625, "raw_values": [ 16.108000000000000540012479177676141262054443359375, 4.8793600000000001415401129634119570255279541015625, 10.3332999999999994855670593096874654293060302734375, 10.05930000000000035242919693700969219207763671875, 8.51529000000000024783730623312294483184814453125, 17.57209999999999894271240918897092342376708984375, 10.56099999999999994315658113919198513031005859375, 12.81700000000000017053025658242404460906982421875, 10.7188999999999996504129740060307085514068603515625, 15.245200000000000528643795405514538288116455078125, 6.03718999999999983430143402074463665485382080078125, 8.861119999999999663486960344016551971435546875, 14.977199999999999846522769075818359851837158203125, 8.748599999999999710098563809879124164581298828125, 16.4375 ], "min_result": [ "4.44" ], "test_run_times": [ 15.17999999999999971578290569595992565155029296875, 15.160000000000000142108547152020037174224853515625, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.17999999999999971578290569595992565155029296875, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.1699999999999999289457264239899814128875732421875, 15.160000000000000142108547152020037174224853515625, 15.1699999999999999289457264239899814128875732421875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 16.949600000000000221689333557151257991790771484375, "min_result": [ "11.66" ], "test_run_times": [ 15.17999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } } } }, "75125a7bcfb97db0dd7d136824f1c4758825a313": { "identifier": "pts\/onednn-3.3.0", "title": "oneDNN", "app_version": "3.3", "arguments": "--ip --batch=inputs\/ip\/shapes_1d --cfg=f32 --engine=cpu", "description": "Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU", "scale": "ms", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 8.241949999999999221245161606930196285247802734375, "raw_values": [ 11.58109999999999928377292235381901264190673828125, 5.20502000000000020207835405017249286174774169921875, 7.9300399999999999778310666442848742008209228515625, 8.1377900000000007452172212651930749416351318359375, 11.5815000000000001278976924368180334568023681640625, 10.024499999999999744204615126363933086395263671875, 4.5816800000000004189359970041550695896148681640625, 7.65495999999999998664179656771011650562286376953125, 9.0079299999999999926103555480949580669403076171875, 5.28746000000000027085889087175019085407257080078125, 8.5847899999999999209876477834768593311309814453125, 7.41659999999999985931253831950016319751739501953125, 5.54924000000000017251977624255232512950897216796875, 11.863099999999999312194631784223020076751708984375, 9.2234700000000007236167220980860292911529541015625 ], "min_result": [ "3.98" ], "test_run_times": [ 15.230000000000000426325641456060111522674560546875, 15.2200000000000006394884621840901672840118408203125, 15.230000000000000426325641456060111522674560546875, 15.2200000000000006394884621840901672840118408203125, 15.230000000000000426325641456060111522674560546875, 15.230000000000000426325641456060111522674560546875, 15.2200000000000006394884621840901672840118408203125, 15.230000000000000426325641456060111522674560546875, 15.230000000000000426325641456060111522674560546875, 15.2200000000000006394884621840901672840118408203125, 15.230000000000000426325641456060111522674560546875, 15.230000000000000426325641456060111522674560546875, 15.2200000000000006394884621840901672840118408203125, 15.2400000000000002131628207280300557613372802734375, 15.230000000000000426325641456060111522674560546875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread" } } }, "b": { "value": 6.89651000000000014011902749189175665378570556640625, "min_result": [ "5.33" ], "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" } } } } }, "a7755bcffde9df912d2246b567edcd300a7a4f57": { "identifier": "pts\/easywave-1.0.0", "title": "easyWave", "app_version": "r34", "arguments": "-grid examples\/e2Asean.grd -source examples\/BengkuluSept2007.flt -time 2400", "description": "Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 97.6779999999999972715158946812152862548828125, "raw_values": [ 88.1329999999999955662133288569748401641845703125, 122.63700000000000045474735088646411895751953125, 127.337999999999993860910763032734394073486328125, 88.662000000000006139089236967265605926513671875, 108.2740000000000009094947017729282379150390625, 111.881000000000000227373675443232059478759765625, 88.20900000000000318323145620524883270263671875, 102.8119999999999976125764078460633754730224609375, 80.8889999999999957935870043002068996429443359375, 94.8430000000000035242919693700969219207763671875, 81.772999999999996134647517465054988861083984375, 105.84600000000000363797880709171295166015625, 84.8190000000000026147972675971686840057373046875, 88.5729999999999932924765744246542453765869140625, 90.474999999999994315658113919198513031005859375 ], "test_run_times": [ 90.7999999999999971578290569595992565155029296875, 125.0799999999999982946974341757595539093017578125, 129.81000000000000227373675443232059478759765625, 91.2000000000000028421709430404007434844970703125, 110.8700000000000045474735088646411895751953125, 114.3900000000000005684341886080801486968994140625, 90.7600000000000051159076974727213382720947265625, 105.4800000000000039790393202565610408782958984375, 83.4599999999999937472239253111183643341064453125, 97.5499999999999971578290569595992565155029296875, 84.4899999999999948840923025272786617279052734375, 108.2900000000000062527760746888816356658935546875, 87.5199999999999960209606797434389591217041015625, 91.280000000000001136868377216160297393798828125, 93.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp" } } }, "b": { "value": 97.4479999999999932924765744246542453765869140625, "test_run_times": [ 99.969999999999998863131622783839702606201171875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp" } } } } }, "fad6bc8f4f0349755de1dea8d860107b710a69cf": { "identifier": "pts\/easywave-1.0.0", "title": "easyWave", "app_version": "r34", "arguments": "-grid examples\/e2Asean.grd -source examples\/BengkuluSept2007.flt -time 1200", "description": "Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 40.48299999999999698729880037717521190643310546875, "raw_values": [ 38.11399999999999721467247582040727138519287109375, 35.3719999999999998863131622783839702606201171875, 40.94800000000000039790393202565610408782958984375, 38.8299999999999982946974341757595539093017578125, 46.340000000000003410605131648480892181396484375, 33.868999999999999772626324556767940521240234375, 42.56000000000000227373675443232059478759765625, 35.28600000000000136424205265939235687255859375, 61.09700000000000130739863379858434200286865234375, 42.63000000000000255795384873636066913604736328125, 34.50699999999999789679350215010344982147216796875, 36.24199999999999732835931354202330112457275390625 ], "test_run_times": [ 40.13000000000000255795384873636066913604736328125, 37.219999999999998863131622783839702606201171875, 42.63000000000000255795384873636066913604736328125, 40.53999999999999914734871708787977695465087890625, 48.0799999999999982946974341757595539093017578125, 35.7999999999999971578290569595992565155029296875, 44.27000000000000312638803734444081783294677734375, 37.1099999999999994315658113919198513031005859375, 62.9200000000000017053025658242404460906982421875, 44.46000000000000085265128291212022304534912109375, 36.280000000000001136868377216160297393798828125, 37.96000000000000085265128291212022304534912109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp" } } }, "b": { "value": 39.75200000000000244426701101474463939666748046875, "test_run_times": [ 41.5 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp" } } } } }, "6c2cc1fe1672a0dce54efb9bff27692cc6a9b718": { "identifier": "pts\/easywave-1.0.0", "title": "easyWave", "app_version": "r34", "arguments": "-grid examples\/e2Asean.grd -source examples\/BengkuluSept2007.flt -time 240", "description": "Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3.5739999999999998436805981327779591083526611328125, "raw_values": [ 3.06899999999999995026200849679298698902130126953125, 3.007000000000000117239551400416530668735504150390625, 3.975000000000000088817841970012523233890533447265625, 3.90899999999999980815346134477294981479644775390625, 4.04399999999999959499064061674289405345916748046875, 2.9870000000000000994759830064140260219573974609375, 3.045999999999999818811602381174452602863311767578125, 3.108000000000000095923269327613525092601776123046875, 3.028999999999999914734871708787977695465087890625, 3.968999999999999861444166526780463755130767822265625, 3.188000000000000166977542903623543679714202880859375, 3.12300000000000022026824808563105762004852294921875, 3.03399999999999980815346134477294981479644775390625, 4.89200000000000034816594052244909107685089111328125, 5.230000000000000426325641456060111522674560546875 ], "test_run_times": [ 4.11000000000000031974423109204508364200592041015625, 3.9900000000000002131628207280300557613372802734375, 4.95999999999999996447286321199499070644378662109375, 4.88999999999999968025576890795491635799407958984375, 5.05999999999999960920149533194489777088165283203125, 3.970000000000000195399252334027551114559173583984375, 4.03000000000000024868995751603506505489349365234375, 4.089999999999999857891452847979962825775146484375, 4.0099999999999997868371792719699442386627197265625, 4.95999999999999996447286321199499070644378662109375, 4.1699999999999999289457264239899814128875732421875, 4.12999999999999989341858963598497211933135986328125, 4.019999999999999573674358543939888477325439453125, 5.87000000000000010658141036401502788066864013671875, 6.20999999999999996447286321199499070644378662109375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp" } } }, "b": { "value": 3.079000000000000181188397618825547397136688232421875, "test_run_times": [ 4.0800000000000000710542735760100185871124267578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -fopenmp" } } } } } } }