new tests 10100

Intel Core i3-10100 testing with a Gigabyte B460M DS3H (F2 BIOS) and Gigabyte Intel UHD 630 3GB on Ubuntu 20.04 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 2103155-HA-NEWTESTS121
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:

C/C++ Compiler Tests 3 Tests
CPU Massive 4 Tests
Creator Workloads 6 Tests
Encoding 3 Tests
Game Development 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 5 Tests
Server CPU Tests 4 Tests
Texture Compression 2 Tests
Video Encoding 3 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
1
March 15
  2 Hours, 16 Minutes
2
March 15
  2 Hours, 16 Minutes
3
March 15
  2 Hours, 16 Minutes
Invert Hiding All Results Option
  2 Hours, 16 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):


new tests 10100ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i3-10100 @ 4.30GHz (4 Cores / 8 Threads)Gigabyte B460M DS3H (F2 BIOS)Intel Device 9b6316GB500GB Western Digital WDS500G3X0C-00SJG0Gigabyte Intel UHD 630 3GB (1100MHz)Realtek ALC887-VDG237HLRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.3X Server 1.20.84.6 Mesa 20.0.81.2.131GCC 9.3.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,hsa --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 Processor Details- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xccSecurity Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.6.1100%101%102%102%103%oneDNNMobile Neural NetworkSysbenchAOM AV1SVT-VP9Basis UniversalsimdjsonASTC EncoderSVT-HEVC

new tests 10100sysbench: CPUaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimesvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDsysbench: RAM / Memoryonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3astcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 31238712.010.174.1213.6910.8370.253.4152.19111.0295.2795.7977.942.750.983.864.3917506.938.0192014.88563.240442.7678431.307513.669113.042922.32934.338077.727406812.983677.206820.533682.835.728826818.433683.185.705206.76136.9954.0104.33347.7237.772629.9132232.166832.4799.46964.788128.1808711.530.174.1213.6310.7869.583.4152.12111.0695.5095.7077.752.750.983.864.4017505.238.4043216.88873.245803.0518231.970713.574013.132623.32424.368377.699296834.923705.866844.293697.205.988506832.773719.365.700736.80037.2463.9994.33548.3667.778629.9214232.168732.5929.46964.777128.1888712.570.174.1213.6110.7969.153.4152.09111.1994.9495.3477.792.750.983.864.417728.828.3911917.98233.234833.1428432.097013.556813.266823.85074.351577.717606848.513745.046856.433742.786.033986850.643730.875.709776.87937.4923.9864.32448.4327.784929.9059232.188732.5159.47964.777128.187OpenBenchmarking.org

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU1232K4K6K8K10KSE +/- 1.98, N = 3SE +/- 0.97, N = 3SE +/- 1.26, N = 38712.018711.538712.571. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU12315003000450060007500Min: 8708.42 / Avg: 8712.01 / Max: 8715.24Min: 8709.59 / Avg: 8711.53 / Max: 8712.64Min: 8710.72 / Avg: 8712.57 / Max: 8714.971. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) run on the CPU with a sample 1080p video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 0 Two-Pass1230.03830.07660.11490.15320.1915SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.170.170.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 0 Two-Pass12312345Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.17 / Avg: 0.17 / Max: 0.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 4 Two-Pass1230.9271.8542.7813.7084.635SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.124.124.121. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 4 Two-Pass123246810Min: 4.09 / Avg: 4.12 / Max: 4.14Min: 4.12 / Avg: 4.12 / Max: 4.13Min: 4.12 / Avg: 4.12 / Max: 4.121. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Realtime12348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.6913.6313.611. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Realtime12348121620Min: 13.65 / Avg: 13.69 / Max: 13.73Min: 13.61 / Avg: 13.63 / Max: 13.65Min: 13.6 / Avg: 13.61 / Max: 13.621. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Two-Pass1233691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.8310.7810.791. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 6 Two-Pass1233691215Min: 10.82 / Avg: 10.83 / Max: 10.84Min: 10.76 / Avg: 10.78 / Max: 10.8Min: 10.76 / Avg: 10.79 / Max: 10.81. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 8 Realtime1231632486480SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 370.2569.5869.151. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.1-rcEncoder Mode: Speed 8 Realtime1231428425670Min: 70.2 / Avg: 70.25 / Max: 70.31Min: 69.57 / Avg: 69.58 / Max: 69.59Min: 69.02 / Avg: 69.15 / Max: 69.31. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p1230.76731.53462.30193.06923.8365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.413.413.411. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p123246810Min: 3.4 / Avg: 3.41 / Max: 3.41Min: 3.41 / Avg: 3.41 / Max: 3.41Min: 3.4 / Avg: 3.41 / Max: 3.411. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p1231224364860SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 352.1952.1252.091. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p1231020304050Min: 52.17 / Avg: 52.19 / Max: 52.21Min: 52.08 / Avg: 52.12 / Max: 52.16Min: 52.07 / Avg: 52.09 / Max: 52.131. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p12320406080100SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3111.02111.06111.191. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p12320406080100Min: 110.84 / Avg: 111.02 / Max: 111.15Min: 110.86 / Avg: 111.06 / Max: 111.23Min: 110.95 / Avg: 111.19 / Max: 111.481. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p12320406080100SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 395.2795.5094.941. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p12320406080100Min: 94.96 / Avg: 95.27 / Max: 95.5Min: 95.42 / Avg: 95.5 / Max: 95.61Min: 94.89 / Avg: 94.94 / Max: 951. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p12320406080100SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 395.7995.7095.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p12320406080100Min: 95.57 / Avg: 95.79 / Max: 96.15Min: 95.68 / Avg: 95.7 / Max: 95.73Min: 95.22 / Avg: 95.34 / Max: 95.481. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p12320406080100SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 377.9477.7577.791. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p1231530456075Min: 77.75 / Avg: 77.94 / Max: 78.18Min: 77.56 / Avg: 77.75 / Max: 78Min: 77.66 / Avg: 77.79 / Max: 77.981. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: Kostya1230.61881.23761.85642.47523.094SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.752.752.751. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: Kostya123246810Min: 2.75 / Avg: 2.75 / Max: 2.75Min: 2.75 / Avg: 2.75 / Max: 2.75Min: 2.75 / Avg: 2.75 / Max: 2.751. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom1230.22050.4410.66150.8821.1025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.980.980.981. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: LargeRandom123246810Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.98 / Avg: 0.98 / Max: 0.98Min: 0.98 / Avg: 0.98 / Max: 0.981. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets1230.86851.7372.60553.4744.3425SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.863.863.861. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: PartialTweets123246810Min: 3.85 / Avg: 3.86 / Max: 3.87Min: 3.85 / Avg: 3.86 / Max: 3.87Min: 3.85 / Avg: 3.86 / Max: 3.871. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID1230.991.982.973.964.95SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.394.404.401. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.8.2Throughput Test: DistinctUserID123246810Min: 4.35 / Avg: 4.39 / Max: 4.41Min: 4.4 / Avg: 4.4 / Max: 4.41Min: 4.4 / Avg: 4.4 / Max: 4.41. (CXX) g++ options: -O3 -pthread

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1234K8K12K16K20KSE +/- 154.90, N = 3SE +/- 73.55, N = 3SE +/- 64.52, N = 317506.9317505.2317728.821. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory1233K6K9K12K15KMin: 17326.31 / Avg: 17506.93 / Max: 17815.22Min: 17369.49 / Avg: 17505.23 / Max: 17622.17Min: 17635.87 / Avg: 17728.82 / Max: 17852.811. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU123246810SE +/- 0.01844, N = 3SE +/- 0.02157, N = 3SE +/- 0.01191, N = 38.019208.404328.39119MIN: 7.83MIN: 8.22MIN: 8.211. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215Min: 7.99 / Avg: 8.02 / Max: 8.05Min: 8.36 / Avg: 8.4 / Max: 8.43Min: 8.37 / Avg: 8.39 / Max: 8.41. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU12348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 314.8916.8917.98MIN: 14.54MIN: 16.52MIN: 17.691. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU123510152025Min: 14.84 / Avg: 14.89 / Max: 14.92Min: 16.83 / Avg: 16.89 / Max: 16.92Min: 17.92 / Avg: 17.98 / Max: 18.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU1230.73031.46062.19092.92123.6515SE +/- 0.00609, N = 3SE +/- 0.00457, N = 3SE +/- 0.00637, N = 33.240443.245803.23483MIN: 3.2MIN: 3.2MIN: 3.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU123246810Min: 3.23 / Avg: 3.24 / Max: 3.25Min: 3.24 / Avg: 3.25 / Max: 3.25Min: 3.22 / Avg: 3.23 / Max: 3.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU1230.70711.41422.12132.82843.5355SE +/- 0.00956, N = 3SE +/- 0.04006, N = 3SE +/- 0.00311, N = 32.767843.051823.14284MIN: 2.63MIN: 2.77MIN: 2.861. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU123246810Min: 2.75 / Avg: 2.77 / Max: 2.79Min: 2.98 / Avg: 3.05 / Max: 3.12Min: 3.14 / Avg: 3.14 / Max: 3.151. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123714212835SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 331.3131.9732.10MIN: 30.87MIN: 31.74MIN: 31.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123714212835Min: 31.28 / Avg: 31.31 / Max: 31.33Min: 31.91 / Avg: 31.97 / Max: 32.08Min: 32.06 / Avg: 32.1 / Max: 32.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 313.6713.5713.56MIN: 9.71MIN: 9.71MIN: 9.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU12348121620Min: 13.57 / Avg: 13.67 / Max: 13.75Min: 13.55 / Avg: 13.57 / Max: 13.61Min: 13.51 / Avg: 13.56 / Max: 13.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU1233691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 313.0413.1313.27MIN: 12.8MIN: 12.85MIN: 12.871. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU12348121620Min: 12.98 / Avg: 13.04 / Max: 13.09Min: 13.11 / Avg: 13.13 / Max: 13.18Min: 13.18 / Avg: 13.27 / Max: 13.431. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 322.3323.3223.85MIN: 21.68MIN: 22.79MIN: 23.571. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU123612182430Min: 22.23 / Avg: 22.33 / Max: 22.51Min: 23.29 / Avg: 23.32 / Max: 23.36Min: 23.78 / Avg: 23.85 / Max: 23.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU1230.98291.96582.94873.93164.9145SE +/- 0.00351, N = 3SE +/- 0.01271, N = 3SE +/- 0.00605, N = 34.338074.368374.35157MIN: 4.31MIN: 4.31MIN: 4.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU123246810Min: 4.33 / Avg: 4.34 / Max: 4.34Min: 4.34 / Avg: 4.37 / Max: 4.38Min: 4.34 / Avg: 4.35 / Max: 4.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU123246810SE +/- 0.04952, N = 3SE +/- 0.03130, N = 3SE +/- 0.02442, N = 37.727407.699297.71760MIN: 7.55MIN: 7.61MIN: 7.571. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU1233691215Min: 7.65 / Avg: 7.73 / Max: 7.82Min: 7.66 / Avg: 7.7 / Max: 7.76Min: 7.67 / Avg: 7.72 / Max: 7.761. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12315003000450060007500SE +/- 3.65, N = 3SE +/- 4.18, N = 3SE +/- 2.69, N = 36812.986834.926848.51MIN: 6804.46MIN: 6827.18MIN: 6841.591. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU12312002400360048006000Min: 6807.64 / Avg: 6812.98 / Max: 6819.97Min: 6830.39 / Avg: 6834.92 / Max: 6843.27Min: 6844.86 / Avg: 6848.51 / Max: 6853.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1238001600240032004000SE +/- 2.18, N = 3SE +/- 5.13, N = 3SE +/- 9.80, N = 33677.203705.863745.04MIN: 3670.26MIN: 3691.93MIN: 3728.991. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU1237001400210028003500Min: 3672.97 / Avg: 3677.2 / Max: 3680.24Min: 3696.01 / Avg: 3705.86 / Max: 3713.3Min: 3733.05 / Avg: 3745.04 / Max: 3764.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12315003000450060007500SE +/- 4.02, N = 3SE +/- 3.17, N = 3SE +/- 12.60, N = 36820.536844.296856.43MIN: 6809.44MIN: 6836.1MIN: 6835.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU12312002400360048006000Min: 6812.65 / Avg: 6820.53 / Max: 6825.84Min: 6839.03 / Avg: 6844.29 / Max: 6849.99Min: 6840.84 / Avg: 6856.43 / Max: 6881.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1238001600240032004000SE +/- 8.53, N = 3SE +/- 0.77, N = 3SE +/- 14.83, N = 33682.833697.203742.78MIN: 3664.85MIN: 3692.47MIN: 3722.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU1237001400210028003500Min: 3667.96 / Avg: 3682.83 / Max: 3697.49Min: 3696.21 / Avg: 3697.2 / Max: 3698.71Min: 3726.81 / Avg: 3742.78 / Max: 3772.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810SE +/- 0.00329, N = 3SE +/- 0.00974, N = 3SE +/- 0.01116, N = 35.728825.988506.03398MIN: 5.64MIN: 5.89MIN: 5.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU123246810Min: 5.72 / Avg: 5.73 / Max: 5.74Min: 5.97 / Avg: 5.99 / Max: 6Min: 6.01 / Avg: 6.03 / Max: 6.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12315003000450060007500SE +/- 4.92, N = 3SE +/- 2.32, N = 3SE +/- 1.83, N = 36818.436832.776850.64MIN: 6804.18MIN: 6822.91MIN: 6843.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU12312002400360048006000Min: 6809.72 / Avg: 6818.43 / Max: 6826.75Min: 6829.95 / Avg: 6832.77 / Max: 6837.36Min: 6848.45 / Avg: 6850.64 / Max: 6854.271. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1238001600240032004000SE +/- 2.31, N = 3SE +/- 3.38, N = 3SE +/- 9.17, N = 33683.183719.363730.87MIN: 3675.27MIN: 3711.17MIN: 3713.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU1236001200180024003000Min: 3679.49 / Avg: 3683.18 / Max: 3687.43Min: 3714.3 / Avg: 3719.36 / Max: 3725.77Min: 3716.38 / Avg: 3730.87 / Max: 3747.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU1231.28472.56943.85415.13886.4235SE +/- 0.00196, N = 3SE +/- 0.00129, N = 3SE +/- 0.00214, N = 35.705205.700735.70977MIN: 5.65MIN: 5.64MIN: 5.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU123246810Min: 5.7 / Avg: 5.71 / Max: 5.71Min: 5.7 / Avg: 5.7 / Max: 5.7Min: 5.71 / Avg: 5.71 / Max: 5.711. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.0123246810SE +/- 0.012, N = 3SE +/- 0.093, N = 3SE +/- 0.071, N = 36.7616.8006.879MIN: 6.68 / MAX: 19.92MIN: 6.64 / MAX: 8.55MIN: 6.67 / MAX: 8.681. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: SqueezeNetV1.01233691215Min: 6.74 / Avg: 6.76 / Max: 6.78Min: 6.68 / Avg: 6.8 / Max: 6.98Min: 6.74 / Avg: 6.88 / Max: 6.951. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50123918273645SE +/- 0.01, N = 3SE +/- 0.23, N = 3SE +/- 0.29, N = 337.0037.2537.49MIN: 36.9 / MAX: 39.56MIN: 36.9 / MAX: 50.75MIN: 36.8 / MAX: 51.341. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: resnet-v2-50123816243240Min: 36.99 / Avg: 37 / Max: 37.01Min: 37 / Avg: 37.25 / Max: 37.72Min: 36.91 / Avg: 37.49 / Max: 37.791. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_2241230.90231.80462.70693.60924.5115SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 34.0103.9993.986MIN: 3.96 / MAX: 16.93MIN: 3.96 / MAX: 5.74MIN: 3.95 / MAX: 4.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: MobileNetV2_224123246810Min: 4 / Avg: 4.01 / Max: 4.04Min: 3.99 / Avg: 4 / Max: 4.01Min: 3.98 / Avg: 3.99 / Max: 3.991. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.01230.97541.95082.92623.90164.877SE +/- 0.016, N = 3SE +/- 0.007, N = 3SE +/- 0.007, N = 34.3334.3354.324MIN: 4.27 / MAX: 17.04MIN: 4.29 / MAX: 6.09MIN: 4.27 / MAX: 6.041. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: mobilenet-v1-1.0123246810Min: 4.3 / Avg: 4.33 / Max: 4.35Min: 4.33 / Avg: 4.33 / Max: 4.35Min: 4.31 / Avg: 4.32 / Max: 4.341. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v31231122334455SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 347.7248.3748.43MIN: 47.3 / MAX: 60.73MIN: 48.13 / MAX: 61.36MIN: 48.15 / MAX: 621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.3Model: inception-v31231020304050Min: 47.44 / Avg: 47.72 / Max: 48.13Min: 48.26 / Avg: 48.37 / Max: 48.44Min: 48.3 / Avg: 48.43 / Max: 48.591. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Medium123246810SE +/- 0.0131, N = 3SE +/- 0.0035, N = 3SE +/- 0.0027, N = 37.77267.77867.78491. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Medium1233691215Min: 7.75 / Avg: 7.77 / Max: 7.79Min: 7.77 / Avg: 7.78 / Max: 7.79Min: 7.78 / Avg: 7.78 / Max: 7.791. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Thorough123714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 329.9129.9229.911. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Thorough123714212835Min: 29.88 / Avg: 29.91 / Max: 29.96Min: 29.91 / Avg: 29.92 / Max: 29.93Min: 29.89 / Avg: 29.91 / Max: 29.921. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Exhaustive12350100150200250SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3232.17232.17232.191. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.4Preset: Exhaustive1234080120160200Min: 232.11 / Avg: 232.17 / Max: 232.21Min: 232.08 / Avg: 232.17 / Max: 232.22Min: 232.12 / Avg: 232.19 / Max: 232.291. (CXX) g++ options: -O3 -flto -pthread

Basis Universal

Basis Universal is a GPU texture codec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123816243240SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 332.4832.5932.521. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: ETC1S123714212835Min: 32.44 / Avg: 32.48 / Max: 32.5Min: 32.46 / Avg: 32.59 / Max: 32.7Min: 32.5 / Avg: 32.52 / Max: 32.531. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 01233691215SE +/- 0.009, N = 3SE +/- 0.007, N = 3SE +/- 0.004, N = 39.4699.4699.4791. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 01233691215Min: 9.46 / Avg: 9.47 / Max: 9.49Min: 9.45 / Avg: 9.47 / Max: 9.48Min: 9.47 / Avg: 9.48 / Max: 9.491. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 21231428425670SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 364.7964.7864.781. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 21231326395265Min: 64.77 / Avg: 64.79 / Max: 64.81Min: 64.77 / Avg: 64.78 / Max: 64.78Min: 64.76 / Avg: 64.78 / Max: 64.791. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 3123306090120150SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3128.18128.19128.191. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.13Settings: UASTC Level 312320406080100Min: 128.14 / Avg: 128.18 / Max: 128.23Min: 128.16 / Avg: 128.19 / Max: 128.22Min: 128.13 / Avg: 128.19 / Max: 128.241. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread