emr march

2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 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 2403264-NE-EMRMARCH937
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 3 Tests
Creator Workloads 2 Tests
Multi-Core 2 Tests
Python Tests 2 Tests
Common Workstation Benchmarks 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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
March 26
  1 Hour, 6 Minutes
b
March 26
  1 Hour, 5 Minutes
Invert Hiding All Results Option
  1 Hour, 6 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": "emr march", "last_modified": "2024-03-26 22:38:57", "description": "2 x INTEL XEON PLATINUM 8592+ testing with a Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.", "systems": { "a": { "identifier": "a", "hardware": { "Processor": "2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores \/ 256 Threads)", "Motherboard": "Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS)", "Chipset": "Intel Device 1bce", "Memory": "1008GB", "Disk": "3201GB Micron_7450_MTFDKCC3T2TFS", "Graphics": "ASPEED", "Network": "2 x Intel X710 for 10GBASE-T" }, "software": { "OS": "Ubuntu 23.10", "Kernel": "6.6.0-rc5-phx-patched (x86_64)", "Desktop": "GNOME Shell 45.0", "Display Server": "X Server 1.21.1.7", "Compiler": "GCC 13.2.0", "File-System": "ext4", "Screen Resolution": "1920x1200" }, "user": "phoronix", "timestamp": "2024-03-26 19:41:58", "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-XYspKM\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-XYspKM\/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": "intel_pstate performance (EPP: performance)", "cpu-microcode": "0x21000161", "kernel-extra-details": "Transparent Huge Pages: madvise", "python": "Python 3.11.6", "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: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced \/ Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected" } }, "b": { "identifier": "b", "hardware": { "Processor": "2 x INTEL XEON PLATINUM 8592+ @ 3.90GHz (128 Cores \/ 256 Threads)", "Motherboard": "Quanta Cloud QuantaGrid D54Q-2U S6Q-MB-MPS (3B05.TEL4P1 BIOS)", "Chipset": "Intel Device 1bce", "Memory": "1008GB", "Disk": "3201GB Micron_7450_MTFDKCC3T2TFS", "Graphics": "ASPEED", "Network": "2 x Intel X710 for 10GBASE-T" }, "software": { "OS": "Ubuntu 23.10", "Kernel": "6.6.0-rc5-phx-patched (x86_64)", "Desktop": "GNOME Shell 45.0", "Display Server": "X Server 1.21.1.7", "Compiler": "GCC 13.2.0", "File-System": "ext4", "Screen Resolution": "1920x1200" }, "user": "phoronix", "timestamp": "2024-03-26 21:00:47", "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-XYspKM\/gcc-13-13.2.0\/debian\/tmp-nvptx\/usr,amdgcn-amdhsa=\/build\/gcc-13-XYspKM\/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": "intel_pstate performance (EPP: performance)", "cpu-microcode": "0x21000161", "kernel-extra-details": "Transparent Huge Pages: madvise", "python": "Python 3.11.6", "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: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy\/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced \/ Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected" } } }, "results": { "4aa2a8dc9d9beef6165ea03da7a36fbc2fc7b3af": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=1 --model=alexnet", "description": "Device: CPU - Batch Size: 1 - Model: AlexNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 35.219999999999998863131622783839702606201171875, "test_run_times": [ 5.05999999999999960920149533194489777088165283203125 ] }, "b": { "value": 36.00999999999999801048033987171947956085205078125, "test_run_times": [ 4.8499999999999996447286321199499070644378662109375 ] } } }, "08449982a4f5f924d45208f47b9d8c62067b2e23": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=16 --model=alexnet", "description": "Device: CPU - Batch Size: 16 - Model: AlexNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 358.16000000000002501110429875552654266357421875, "test_run_times": [ 6.86000000000000031974423109204508364200592041015625 ] }, "b": { "value": 352.6499999999999772626324556767940521240234375, "test_run_times": [ 6.86000000000000031974423109204508364200592041015625 ] } } }, "4042d31bc5aa3c11c217e669c15bfcdfecd2af39": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=32 --model=alexnet", "description": "Device: CPU - Batch Size: 32 - Model: AlexNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 589.200000000000045474735088646411895751953125, "test_run_times": [ 7.910000000000000142108547152020037174224853515625 ] }, "b": { "value": 577.740000000000009094947017729282379150390625, "test_run_times": [ 7.96999999999999975131004248396493494510650634765625 ] } } }, "cc9e31e984b8806636e79ff6e5e21c1a6f766e29": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=64 --model=alexnet", "description": "Device: CPU - Batch Size: 64 - Model: AlexNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 911.720000000000027284841053187847137451171875, "test_run_times": [ 9.660000000000000142108547152020037174224853515625 ] }, "b": { "value": 908.490000000000009094947017729282379150390625, "test_run_times": [ 9.660000000000000142108547152020037174224853515625 ] } } }, "efd4132b4ca34777b8be0494c36cc1edae74ee0d": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=1 --model=googlenet", "description": "Device: CPU - Batch Size: 1 - Model: GoogLeNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 12.949999999999999289457264239899814128875732421875, "test_run_times": [ 11.519999999999999573674358543939888477325439453125 ] }, "b": { "value": 13.4000000000000003552713678800500929355621337890625, "test_run_times": [ 11.160000000000000142108547152020037174224853515625 ] } } }, "1eff874d2ed99fbec15252604d5788236f12724f": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=1 --model=resnet50", "description": "Device: CPU - Batch Size: 1 - Model: ResNet-50", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 3.910000000000000142108547152020037174224853515625, "test_run_times": [ 31.739999999999998436805981327779591083526611328125 ] }, "b": { "value": 4.13999999999999968025576890795491635799407958984375, "test_run_times": [ 30.35000000000000142108547152020037174224853515625 ] } } }, "3fc0ca1d5a0746bef2ec915696cd1e7e450f0486": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=256 --model=alexnet", "description": "Device: CPU - Batch Size: 256 - Model: AlexNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1727.26999999999998181010596454143524169921875, "test_run_times": [ 18.370000000000000994759830064140260219573974609375 ] }, "b": { "value": 1728.920000000000072759576141834259033203125, "test_run_times": [ 18.440000000000001278976924368180334568023681640625 ] } } }, "5c98d60e307e91e3fa4a166cb951aedf30820571": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=512 --model=alexnet", "description": "Device: CPU - Batch Size: 512 - Model: AlexNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 2092.2100000000000363797880709171295166015625, "test_run_times": [ 29.280000000000001136868377216160297393798828125 ] }, "b": { "value": 2108.30999999999994543031789362430572509765625, "test_run_times": [ 29.160000000000000142108547152020037174224853515625 ] } } }, "0c7ca7413dad7058da6c1b7ecf451e37c79a852f": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=16 --model=googlenet", "description": "Device: CPU - Batch Size: 16 - Model: GoogLeNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 118.68000000000000682121026329696178436279296875, "test_run_times": [ 17.96000000000000085265128291212022304534912109375 ] }, "b": { "value": 114.9899999999999948840923025272786617279052734375, "test_run_times": [ 18.559999999999998721023075631819665431976318359375 ] } } }, "113aa8ffcc7b9a5e5921242a3c219cbcf10a56c1": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=16 --model=resnet50", "description": "Device: CPU - Batch Size: 16 - Model: ResNet-50", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 39.06000000000000227373675443232059478759765625, "test_run_times": [ 49.13000000000000255795384873636066913604736328125 ] }, "b": { "value": 38.280000000000001136868377216160297393798828125, "test_run_times": [ 50.1700000000000017053025658242404460906982421875 ] } } }, "fbe5c59152314e76bd9f9138ab14c06003fca508": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=32 --model=googlenet", "description": "Device: CPU - Batch Size: 32 - Model: GoogLeNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 196.8799999999999954525264911353588104248046875, "test_run_times": [ 21.300000000000000710542735760100185871124267578125 ] }, "b": { "value": 194.729999999999989768184605054557323455810546875, "test_run_times": [ 21.39999999999999857891452847979962825775146484375 ] } } }, "553578ea95c8cd321f02803aae717264cb615497": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=32 --model=resnet50", "description": "Device: CPU - Batch Size: 32 - Model: ResNet-50", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 63.99000000000000198951966012828052043914794921875, "test_run_times": [ 59.42999999999999971578290569595992565155029296875 ] }, "b": { "value": 63.27000000000000312638803734444081783294677734375, "test_run_times": [ 60.0799999999999982946974341757595539093017578125 ] } } }, "756b849822aa6cfd1f7ea7544eee95ad83059012": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=64 --model=googlenet", "description": "Device: CPU - Batch Size: 64 - Model: GoogLeNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 309.220000000000027284841053187847137451171875, "test_run_times": [ 26.309999999999998721023075631819665431976318359375 ] }, "b": { "value": 302.23000000000001818989403545856475830078125, "test_run_times": [ 26.89999999999999857891452847979962825775146484375 ] } } }, "c2b4c32d69dc5fddfa4829c640df8922cbe2fa37": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=64 --model=resnet50", "description": "Device: CPU - Batch Size: 64 - Model: ResNet-50", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 92.7900000000000062527760746888816356658935546875, "test_run_times": [ 81.1700000000000017053025658242404460906982421875 ] }, "b": { "value": 92.099999999999994315658113919198513031005859375, "test_run_times": [ 81.4899999999999948840923025272786617279052734375 ] } } }, "f45c09499237f1715f224cec3778b8e2b561e26b": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=256 --model=googlenet", "description": "Device: CPU - Batch Size: 256 - Model: GoogLeNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 491.23000000000001818989403545856475830078125, "test_run_times": [ 61.43999999999999772626324556767940521240234375 ] }, "b": { "value": 489.240000000000009094947017729282379150390625, "test_run_times": [ 61.6400000000000005684341886080801486968994140625 ] } } }, "c79954d082be150cefddf4af1ec61f414286b450": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=256 --model=resnet50", "description": "Device: CPU - Batch Size: 256 - Model: ResNet-50", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 147.759999999999990905052982270717620849609375, "test_run_times": [ 199.43000000000000682121026329696178436279296875 ] }, "b": { "value": 148.25, "test_run_times": [ 198.400000000000005684341886080801486968994140625 ] } } }, "5271aa1559827b988959a00c9654f9dec12c83dd": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=512 --model=googlenet", "description": "Device: CPU - Batch Size: 512 - Model: GoogLeNet", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 554.529999999999972715158946812152862548828125, "test_run_times": [ 106.7099999999999937472239253111183643341064453125 ] }, "b": { "value": 552.4299999999999499777914024889469146728515625, "test_run_times": [ 106.719999999999998863131622783839702606201171875 ] } } }, "b24071a13173fed1d53bd54c5c89d56a1073ff7d": { "identifier": "pts\/tensorflow-2.2.0", "title": "TensorFlow", "app_version": "2.16.1", "arguments": "--device cpu --batch_size=512 --model=resnet50", "description": "Device: CPU - Batch Size: 512 - Model: ResNet-50", "scale": "images\/sec", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 154.020000000000010231815394945442676544189453125, "test_run_times": [ 378.009999999999990905052982270717620849609375 ] }, "b": { "value": 155.849999999999994315658113919198513031005859375, "test_run_times": [ 373.68000000000000682121026329696178436279296875 ] } } }, "402d48a955b9ec8faf2263d0617ed5f693c5868f": { "identifier": "pts\/rocksdb-1.6.0", "title": "RocksDB", "app_version": "9.0", "arguments": "--benchmarks=\"overwrite\"", "description": "Test: Overwrite", "scale": "Op\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 176533, "test_run_times": [ 60.99000000000000198951966012828052043914794921875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } }, "b": { "value": 175868, "test_run_times": [ 61.22999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } } } }, "066b3305e19eb079ef40e4ff18f2e7cb8b443731": { "identifier": "pts\/rocksdb-1.6.0", "title": "RocksDB", "app_version": "9.0", "arguments": "--benchmarks=\"fillrandom\"", "description": "Test: Random Fill", "scale": "Op\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 176723, "test_run_times": [ 60.92999999999999971578290569595992565155029296875 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } }, "b": { "value": 176991, "test_run_times": [ 60.840000000000003410605131648480892181396484375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } } } }, "5574a9adcdcc43772f1310c523e9d41f60bd81bb": { "identifier": "pts\/rocksdb-1.6.0", "title": "RocksDB", "app_version": "9.0", "arguments": "--benchmarks=\"readrandom\"", "description": "Test: Random Read", "scale": "Op\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 378034441, "test_run_times": [ 60.0799999999999982946974341757595539093017578125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } }, "b": { "value": 383625077, "test_run_times": [ 60.07000000000000028421709430404007434844970703125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } } } }, "a5a9147abb170b17ed93e595ff3e61bcb669d5e7": { "identifier": "pts\/rocksdb-1.6.0", "title": "RocksDB", "app_version": "9.0", "arguments": "--benchmarks=\"updaterandom\"", "description": "Test: Update Random", "scale": "Op\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 164280, "test_run_times": [ 60.8599999999999994315658113919198513031005859375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } }, "b": { "value": 164944, "test_run_times": [ 60.6400000000000005684341886080801486968994140625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } } } }, "375d56ea79544634b2c79f2912a7d11db375dc2a": { "identifier": "pts\/rocksdb-1.6.0", "title": "RocksDB", "app_version": "9.0", "arguments": "--benchmarks=\"readwhilewriting\"", "description": "Test: Read While Writing", "scale": "Op\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 11076608, "test_run_times": [ 60.18999999999999772626324556767940521240234375 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } }, "b": { "value": 10797502, "test_run_times": [ 60.22999999999999687361196265555918216705322265625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } } } }, "661a5b046c1aea421c67c3eea81e7b7418e850d7": { "identifier": "pts\/rocksdb-1.6.0", "title": "RocksDB", "app_version": "9.0", "arguments": "--benchmarks=\"readrandomwriterandom\"", "description": "Test: Read Random Write Random", "scale": "Op\/s", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 1529756, "test_run_times": [ 60.25999999999999801048033987171947956085205078125 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } }, "b": { "value": 1530210, "test_run_times": [ 60.25 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread" } } } } }, "59c7fed087ff591e1c14fc2fa2069302338fbf1c": { "identifier": "pts\/brl-cad-1.6.0", "title": "BRL-CAD", "app_version": "7.38.2", "description": "VGR Performance Metric", "scale": "VGR Performance Metric", "proportion": "HIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 5340792, "test_run_times": [ 2194.4600000000000363797880709171295166015625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6" } } }, "b": { "value": 5248584, "test_run_times": [ 2084.2100000000000363797880709171295166015625 ], "details": { "compiler-options": { "compiler-type": "CXX", "compiler": "g++", "compiler-options": "-std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6" } } } } }, "e40d6565e0c575145dc453b94f3ca3ca2807fdeb": { "identifier": "pts\/build-mesa-1.1.0", "title": "Timed Mesa Compilation", "app_version": "24.0", "description": "Time To Compile", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 14.464999999999999857891452847979962825775146484375, "test_run_times": [ 14.46000000000000085265128291212022304534912109375 ] }, "b": { "value": 14.4629999999999991899812812334857881069183349609375, "test_run_times": [ 14.46000000000000085265128291212022304534912109375 ] } } }, "6fa0bb21f313981869d5b7153599c8cd97c5852a": { "identifier": "pts\/blender-4.1.0", "title": "Blender", "app_version": "4.1", "arguments": "-b ..\/bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: BMW27 - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 12.5999999999999996447286321199499070644378662109375, "test_run_times": [ 13.6199999999999992184029906638897955417633056640625 ] }, "b": { "value": 12.660000000000000142108547152020037174224853515625, "test_run_times": [ 13.17999999999999971578290569595992565155029296875 ] } } }, "9974b636362d9b68a14abd18b674acca424c3a28": { "identifier": "pts\/blender-4.1.0", "title": "Blender", "app_version": "4.1", "arguments": "-b ..\/junkshop.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Junkshop - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 22.940000000000001278976924368180334568023681640625, "test_run_times": [ 23.78999999999999914734871708787977695465087890625 ] }, "b": { "value": 22.5, "test_run_times": [ 23.339999999999999857891452847979962825775146484375 ] } } }, "d642e29ba0ab924a63605dc5d18ef3966c809dce": { "identifier": "pts\/blender-4.1.0", "title": "Blender", "app_version": "4.1", "arguments": "-b ..\/classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Classroom - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 36.72999999999999687361196265555918216705322265625, "test_run_times": [ 37.25999999999999801048033987171947956085205078125 ] }, "b": { "value": 35.28999999999999914734871708787977695465087890625, "test_run_times": [ 35.78999999999999914734871708787977695465087890625 ] } } }, "e14b90554ad557bd8220d6925e62f507c49196e0": { "identifier": "pts\/blender-4.1.0", "title": "Blender", "app_version": "4.1", "arguments": "-b ..\/fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Fishy Cat - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 17.4200000000000017053025658242404460906982421875, "test_run_times": [ 18.379999999999999005240169935859739780426025390625 ] }, "b": { "value": 17.53999999999999914734871708787977695465087890625, "test_run_times": [ 18.469999999999998863131622783839702606201171875 ] } } }, "458a4eb2c6c84b80913e52a3b3e727db73a5af11": { "identifier": "pts\/blender-4.1.0", "title": "Blender", "app_version": "4.1", "arguments": "-b ..\/barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Barbershop - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 127, "test_run_times": [ 129.400000000000005684341886080801486968994140625 ] }, "b": { "value": 177.770000000000010231815394945442676544189453125, "test_run_times": [ 180.169999999999987494447850622236728668212890625 ] } } }, "30a7337e8926a086e67a974609766f8885e04e46": { "identifier": "pts\/blender-4.1.0", "title": "Blender", "app_version": "4.1", "arguments": "-b ..\/pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU", "description": "Blend File: Pabellon Barcelona - Compute: CPU-Only", "scale": "Seconds", "proportion": "LIB", "display_format": "BAR_GRAPH", "results": { "a": { "value": 41.86999999999999744204615126363933086395263671875, "test_run_times": [ 42.5799999999999982946974341757595539093017578125 ] }, "b": { "value": 42.35000000000000142108547152020037174224853515625, "test_run_times": [ 43.03999999999999914734871708787977695465087890625 ] } } } } }