res.txt

2 x Intel Xeon Gold 6244 testing with a Dell 060K5C (2.4.1 BIOS) and NVIDIA Quadro GV100 32GB on Ubuntu 20.04.6 LTS 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 2402069-NE-RESTXT08482
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2024-02-05 13:53

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003604
Python Notes: Python 3.8.10

2024-02-05 13:58

2024-02-05 18:03

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x5003604
Python Notes: Python 3.8.10

2024-02-05 18:36

2024-02-06 08:56

Processor: 2 x Intel Xeon Gold 6244 @ 4.40GHz (16 Cores / 32 Threads), Motherboard: Dell 060K5C (2.4.1 BIOS), Memory: 128GB, Disk: PM981a NVMe SAMSUNG 2048GB + 4 x 8002GB TOSHIBA MG06ACA8, Graphics: NVIDIA Quadro GV100 32GB

OS: Ubuntu 20.04.6 LTS, Kernel: 3.10.0-1160.95.1.el7.x86_64 (x86_64), Display Driver: NVIDIA, Vulkan: 1.1.182, Compiler: GCC 9.4.0 + CUDA 12.0, File-System: xfs, Screen Resolution: 800x600

res.txtOpenBenchmarking.orgPhoronix Test Suite2 x Intel Xeon Gold 6244 @ 4.40GHz (16 Cores / 32 Threads)Dell 060K5C (2.4.1 BIOS)128GBPM981a NVMe SAMSUNG 2048GB + 4 x 8002GB TOSHIBA MG06ACA8NVIDIA Quadro GV100 32GBUbuntu 20.04.6 LTS3.10.0-1160.95.1.el7.x86_64 (x86_64)NVIDIA1.1.182GCC 9.4.0 + CUDA 12.0xfs800x600ProcessorMotherboardMemoryDiskGraphicsOSKernelDisplay DriverVulkanCompilerFile-SystemScreen ResolutionRes.txt BenchmarksSystem Logs- Transparent Huge Pages: always- --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 - 2024-02-05 13:53: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003604 - 2024-02-05 13:58: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003604 - 2024-02-05 18:03: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x5003604 - 2024-02-05 18:36: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x5003604 - 2024-02-06 08:56: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x5003604 - Python 3.8.10

res.txtncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: CPU - efficientnet-b0plaidml: No - Inference - ResNet 50 - CPUplaidml: No - Training - ResNet 50 - CPUncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenet2024-02-05 13:532024-02-05 13:582024-02-05 18:032024-02-05 18:362024-02-06 08:567.5216.6810.016.658.478.1668.4821.4715.4631.5418.1543.353.018.696.466.677.0616.738.2767.7721.4215.3430.8918.466.809.9843.2016.212.916.417.386.727.1816.927.2916.229.856.838.53654.731263.09112.44244.36421.96565.39501.672.948.466.3581.5384.63181.761112.161647.7725.331029.95254.601279.5774.46104.14594.96120.622.83131.20181.58459.15373.6529.717.2116.089.696.648.375.030.377.3284.9820.7114.9338.8018.0385.162.998.216.286.536.9818.168.0987.1220.7216.0142.9717.986.729.9578.5419.813.026.387.226.577.0317.13OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v22024-02-05 13:582024-02-05 18:362024-02-06 08:56246810SE +/- 0.06, N = 15SE +/- 0.11, N = 8SE +/- 0.03, N = 97.527.297.21MIN: 6.49 / MAX: 70.78MIN: 6.09 / MAX: 9.72MIN: 6.9 / MAX: 9.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenet2024-02-05 13:582024-02-05 18:362024-02-06 08:5648121620SE +/- 0.13, N = 15SE +/- 0.28, N = 8SE +/- 0.06, N = 916.6816.2216.08MIN: 14.68 / MAX: 41.63MIN: 13.66 / MAX: 19.49MIN: 15.44 / MAX: 19.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet182024-02-05 13:582024-02-05 18:362024-02-06 08:563691215SE +/- 0.11, N = 15SE +/- 0.18, N = 8SE +/- 0.04, N = 910.019.859.69MIN: 8.29 / MAX: 66.34MIN: 8.54 / MAX: 12.61MIN: 9.24 / MAX: 12.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnet2024-02-05 13:582024-02-05 18:362024-02-06 08:56246810SE +/- 0.05, N = 15SE +/- 0.05, N = 8SE +/- 0.02, N = 86.656.836.64MIN: 5.83 / MAX: 17.95MIN: 6.38 / MAX: 9.35MIN: 6.38 / MAX: 44.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b02024-02-05 13:582024-02-05 18:362024-02-06 08:56246810SE +/- 0.10, N = 15SE +/- 0.14, N = 9SE +/- 0.07, N = 118.478.538.37MIN: 7.07 / MAX: 42.9MIN: 7.16 / MAX: 13.3MIN: 8.01 / MAX: 11.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU2024-02-06 08:561.13182.26363.39544.52725.659SE +/- 0.02, N = 35.03

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Training - Network: ResNet 50 - Device: CPU2024-02-06 08:560.08330.16660.24990.33320.4165SE +/- 0.00, N = 30.37

FP16: Yes - Mode: Inference - Network: NASNer Large - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Inference - Network: Inception V3 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Inference - Network: DenseNet 201 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: NASNer Large - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: Inception V3 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: DenseNet 201 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Training - Network: NASNer Large - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Training - Network: Inception V3 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Training - Network: DenseNet 201 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Inference - Network: ResNet 50 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Inference - Network: Mobilenet - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Inference - Network: IMDB LSTM - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: ResNet 50 - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: Mobilenet - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: IMDB LSTM - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Inference - Network: Mobilenet - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Training - Network: Mobilenet - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Training - Network: IMDB LSTM - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Inference - Network: VGG19 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Inference - Network: VGG16 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: VGG19 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: Yes - Mode: Training - Network: VGG16 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Inference - Network: VGG19 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Training - Network: VGG19 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

FP16: No - Mode: Training - Network: VGG16 - Device: CPU

2024-02-05 13:58: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-05 18:36: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

2024-02-06 08:56: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDet2024-02-05 13:582024-02-05 18:362024-02-06 08:56140280420560700SE +/- 0.29, N = 15SE +/- 284.19, N = 8SE +/- 0.31, N = 98.16654.737.32MIN: 5.88 / MAX: 1709.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformer2024-02-05 13:582024-02-05 18:362024-02-06 08:5630060090012001500SE +/- 0.79, N = 15SE +/- 261.92, N = 8SE +/- 7.30, N = 968.481263.0984.98MIN: 59.44 / MAX: 1769.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400m2024-02-05 13:582024-02-05 18:362024-02-06 08:56306090120150SE +/- 0.21, N = 15SE +/- 91.36, N = 8SE +/- 0.04, N = 921.47112.4420.71MIN: 18.78 / MAX: 94.51MIN: 18.72 / MAX: 8799.8MIN: 20.11 / MAX: 57.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssd2024-02-05 13:582024-02-05 18:362024-02-06 08:5650100150200250SE +/- 0.25, N = 15SE +/- 228.09, N = 8SE +/- 0.41, N = 915.46244.3614.93MIN: 13.25 / MAX: 1854.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tiny2024-02-05 13:582024-02-05 18:362024-02-06 08:5690180270360450SE +/- 0.99, N = 15SE +/- 120.86, N = 8SE +/- 3.53, N = 931.54421.9638.80MIN: 26.32 / MAX: 796.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet502024-02-05 13:582024-02-05 18:362024-02-06 08:56120240360480600SE +/- 0.16, N = 15SE +/- 236.61, N = 8SE +/- 0.37, N = 918.15565.3918.03MIN: 16.76 / MAX: 1675.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg162024-02-05 13:582024-02-05 18:362024-02-06 08:56110220330440550SE +/- 0.55, N = 15SE +/- 94.33, N = 8SE +/- 8.40, N = 943.35501.6785.16MIN: 38.99 / MAX: 680.92MIN: 38.78 / MAX: 657.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazeface2024-02-05 13:582024-02-05 18:362024-02-06 08:560.67731.35462.03192.70923.3865SE +/- 0.04, N = 15SE +/- 0.10, N = 8SE +/- 0.01, N = 93.012.942.99MIN: 2.56 / MAX: 5.33MIN: 2.2 / MAX: 5.14MIN: 2.86 / MAX: 5.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b02024-02-05 13:582024-02-05 18:362024-02-06 08:56246810SE +/- 0.12, N = 15SE +/- 0.18, N = 8SE +/- 0.03, N = 98.698.468.21MIN: 7.5 / MAX: 90.56MIN: 7.17 / MAX: 12.2MIN: 7.9 / MAX: 14.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnet2024-02-05 13:582024-02-05 18:362024-02-06 08:56246810SE +/- 0.06, N = 15SE +/- 0.16, N = 8SE +/- 0.03, N = 96.466.356.28MIN: 5.63 / MAX: 121.66MIN: 5.01 / MAX: 10.28MIN: 6.07 / MAX: 8.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v32024-02-05 13:582024-02-05 18:362024-02-06 08:5620406080100SE +/- 0.05, N = 15SE +/- 74.95, N = 8SE +/- 0.03, N = 96.6781.536.53MIN: 5.52 / MAX: 1367.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v22024-02-05 13:582024-02-05 18:362024-02-06 08:5620406080100SE +/- 0.08, N = 15SE +/- 77.74, N = 8SE +/- 0.02, N = 97.0684.636.98MIN: 5.23 / MAX: 1181.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenet2024-02-05 13:582024-02-05 18:362024-02-06 08:564080120160200SE +/- 0.31, N = 15SE +/- 164.65, N = 8SE +/- 1.91, N = 916.73181.7618.16MIN: 14.72 / MAX: 1345.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDet2024-02-05 13:582024-02-05 18:362024-02-06 08:562004006008001000SE +/- 0.33, N = 15SE +/- 194.42, N = 9SE +/- 0.36, N = 118.271112.168.09MIN: 5.89 / MAX: 1712.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vision_transformer2024-02-05 13:582024-02-05 18:362024-02-06 08:56400800120016002000SE +/- 0.47, N = 15SE +/- 36.79, N = 9SE +/- 7.53, N = 1167.771647.7787.12MIN: 60.22 / MAX: 1773.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400m2024-02-05 13:582024-02-05 18:362024-02-06 08:56612182430SE +/- 0.17, N = 15SE +/- 4.36, N = 9SE +/- 0.08, N = 1121.4225.3320.72MIN: 18.61 / MAX: 50.31MIN: 18.49 / MAX: 8765.4MIN: 20.11 / MAX: 89.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssd2024-02-05 13:582024-02-05 18:362024-02-06 08:562004006008001000SE +/- 0.25, N = 15SE +/- 320.29, N = 9SE +/- 0.62, N = 1115.341029.9516.01MIN: 13 / MAX: 1860.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tiny2024-02-05 13:582024-02-05 18:362024-02-06 08:5660120180240300SE +/- 0.37, N = 15SE +/- 110.09, N = 9SE +/- 5.42, N = 1130.89254.6042.97MIN: 25.55 / MAX: 393.68MIN: 26.15 / MAX: 793.43MIN: 25.46 / MAX: 767.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet502024-02-05 13:582024-02-05 18:362024-02-06 08:5630060090012001500SE +/- 0.18, N = 15SE +/- 237.42, N = 9SE +/- 0.20, N = 1118.461279.5717.98MIN: 17.05 / MAX: 1680.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnet2024-02-05 13:582024-02-05 18:362024-02-06 08:5620406080100SE +/- 0.08, N = 15SE +/- 46.29, N = 9SE +/- 0.05, N = 116.8074.466.72MIN: 6.37 / MAX: 397.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet182024-02-05 13:582024-02-05 18:362024-02-06 08:5620406080100SE +/- 0.16, N = 15SE +/- 94.16, N = 9SE +/- 0.14, N = 119.98104.149.95MIN: 8.07 / MAX: 48.75MIN: 8.47 / MAX: 867.98MIN: 9.3 / MAX: 13.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg162024-02-05 13:582024-02-05 18:362024-02-06 08:56130260390520650SE +/- 0.31, N = 15SE +/- 34.48, N = 9SE +/- 4.72, N = 1143.20594.9678.54MIN: 39.51 / MAX: 679.59MIN: 39.02 / MAX: 663.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenet2024-02-05 13:582024-02-05 18:362024-02-06 08:56306090120150SE +/- 0.28, N = 15SE +/- 104.57, N = 9SE +/- 3.51, N = 1116.21120.6219.81MIN: 12.89 / MAX: 38.38MIN: 13.63 / MAX: 1852.64MIN: 15.64 / MAX: 1809.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazeface2024-02-05 13:582024-02-05 18:362024-02-06 08:560.67951.3592.03852.7183.3975SE +/- 0.08, N = 15SE +/- 0.12, N = 9SE +/- 0.02, N = 112.912.833.02MIN: 2.16 / MAX: 5.98MIN: 2.13 / MAX: 5.08MIN: 2.84 / MAX: 22.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnet2024-02-05 13:582024-02-05 18:362024-02-06 08:56306090120150SE +/- 0.09, N = 15SE +/- 124.99, N = 9SE +/- 0.10, N = 116.41131.206.38MIN: 4.8 / MAX: 1145.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v22024-02-05 13:582024-02-05 18:362024-02-06 08:564080120160200SE +/- 0.04, N = 15SE +/- 174.29, N = 9SE +/- 0.03, N = 117.38181.587.22MIN: 6.15 / MAX: 1598.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v32024-02-05 13:582024-02-05 18:362024-02-06 08:56100200300400500SE +/- 0.08, N = 15SE +/- 224.10, N = 9SE +/- 0.04, N = 116.72459.156.57MIN: 5.6 / MAX: 1369.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v22024-02-05 13:582024-02-05 18:362024-02-06 08:5680160240320400SE +/- 0.12, N = 15SE +/- 175.05, N = 9SE +/- 0.05, N = 117.18373.657.03MIN: 5.54 / MAX: 11671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenet2024-02-05 13:582024-02-05 18:362024-02-06 08:56714212835SE +/- 0.30, N = 15SE +/- 12.39, N = 9SE +/- 0.29, N = 1116.9229.7117.13MIN: 13.75 / MAX: 53.31MIN: 15.53 / MAX: 1342.94MIN: 14.45 / MAX: 20.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

2024-02-05 13:53

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003604
Python Notes: Python 3.8.10

Testing initiated at 5 February 2024 13:53 by user melkor.

2024-02-05 13:58

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 Notes: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x5003604
Python Notes: Python 3.8.10

Testing initiated at 5 February 2024 13:58 by user melkor.

2024-02-05 18:03

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x5003604
Python Notes: Python 3.8.10

Testing initiated at 5 February 2024 18:03 by user melkor.

2024-02-05 18:36

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x5003604
Python Notes: Python 3.8.10

Testing initiated at 5 February 2024 18:36 by user melkor.

2024-02-06 08:56

Processor: 2 x Intel Xeon Gold 6244 @ 4.40GHz (16 Cores / 32 Threads), Motherboard: Dell 060K5C (2.4.1 BIOS), Memory: 128GB, Disk: PM981a NVMe SAMSUNG 2048GB + 4 x 8002GB TOSHIBA MG06ACA8, Graphics: NVIDIA Quadro GV100 32GB

OS: Ubuntu 20.04.6 LTS, Kernel: 3.10.0-1160.95.1.el7.x86_64 (x86_64), Display Driver: NVIDIA, Vulkan: 1.1.182, Compiler: GCC 9.4.0 + CUDA 12.0, File-System: xfs, Screen Resolution: 800x600

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --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=/build/gcc-9-9QDOt0/gcc-9-9.4.0/debian/tmp-nvptx/usr,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 Notes: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x5003604
Python Notes: Python 3.8.10

Testing initiated at 6 February 2024 08:56 by user melkor.