intel-tf-macpro2

KVM Parallels Virtualization testing on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2309194-NE-INTELTFMA68&grs.

intel-tf-macpro2ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionSystem Layerintel-tf-macpro2Intel Xeon W-3275M (28 Cores)Parallels Software Virtual (19.0.0 54570 BIOS)Red Hat Virtio + ICH8/R128GB1100GB Ubuntu Linux (1)llvmpipeGeneric 1ab8Red Hat Virtio deviceUbuntu 22.046.2.0-32-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.44.5 Mesa 23.0.4-0ubuntu1~22.04.1 (LLVM 15.0.7 256 bits)1.3.238GCC 11.4.0ext43724x2048KVM Parallels VirtualizationOpenBenchmarking.org- Transparent Huge Pages: madvise- --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,brig,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-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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 - Python 3.7.16- gather_data_sampling: Unknown: Dependent on hypervisor status + itlb_multihit: KVM: Mitigation of VMX unsupported + l1tf: Vulnerable + mds: Vulnerable: Clear buffers attempted no microcode; SMT Host state unknown + meltdown: Mitigation of PTI + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT Host state unknown + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines STIBP: disabled RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

intel-tf-macpro2intel-tensorflow: mobilenetv1_fp32_pretrained_model - 960intel-tensorflow: mobilenetv1_fp32_pretrained_model - 256intel-tensorflow: inceptionv4_int8_pretrained_model - 960intel-tensorflow: inceptionv4_int8_pretrained_model - 512intel-tensorflow: inceptionv4_fp32_pretrained_model - 960intel-tensorflow: inceptionv4_fp32_pretrained_model - 512intel-tensorflow: inceptionv4_fp32_pretrained_model - 256intel-tensorflow: mobilenetv1_fp32_pretrained_model - 96intel-tensorflow: mobilenetv1_fp32_pretrained_model - 64intel-tensorflow: mobilenetv1_fp32_pretrained_model - 32intel-tensorflow: mobilenetv1_fp32_pretrained_model - 16intel-tensorflow: inceptionv4_int8_pretrained_model - 64intel-tensorflow: inceptionv4_int8_pretrained_model - 32intel-tensorflow: inceptionv4_fp32_pretrained_model - 64intel-tensorflow: inceptionv4_fp32_pretrained_model - 32intel-tensorflow: mobilenetv1_fp32_pretrained_model - 1intel-tensorflow: inceptionv4_int8_pretrained_model - 1intel-tensorflow: inceptionv4_int8_pretrained_model - 1intel-tensorflow: inceptionv4_fp32_pretrained_model - 1intel-tensorflow: resnet50_int8_pretrained_model - 960intel-tensorflow: resnet50_int8_pretrained_model - 512intel-tensorflow: resnet50_fp32_pretrained_model - 960intel-tensorflow: resnet50_fp32_pretrained_model - 512intel-tensorflow: resnet50_fp32_pretrained_model - 256intel-tensorflow: resnet50_int8_pretrained_model - 96intel-tensorflow: resnet50_int8_pretrained_model - 64intel-tensorflow: resnet50_int8_pretrained_model - 32intel-tensorflow: resnet50_int8_pretrained_model - 16intel-tensorflow: resnet50_fp32_pretrained_model - 96intel-tensorflow: resnet50_fp32_pretrained_model - 64intel-tensorflow: resnet50_fp32_pretrained_model - 32intel-tensorflow: resnet50_fp32_pretrained_model - 16intel-tensorflow: resnet50_int8_pretrained_model - 1intel-tensorflow: resnet50_int8_pretrained_model - 1intel-tensorflow: mobilenetv1_fp32_pretrained_model - 512intel-tensorflow: inceptionv4_int8_pretrained_model - 256intel-tensorflow: inceptionv4_int8_pretrained_model - 96intel-tensorflow: inceptionv4_int8_pretrained_model - 16intel-tensorflow: inceptionv4_fp32_pretrained_model - 96intel-tensorflow: inceptionv4_fp32_pretrained_model - 16intel-tensorflow: inceptionv4_fp32_pretrained_model - 1intel-tensorflow: resnet50_int8_pretrained_model - 256intel-tensorflow: resnet50_fp32_pretrained_model - 1intel-tensorflow: resnet50_fp32_pretrained_model - 1intel-tf-macpro2428.07327.19123.12116.5376.9872.4869.21296.20284.30237.40210.1984.7176.6560.0751.63499.70121.6698.80126.075367.222345.220238.183222.598210.483281.019254.801232.421315.006244.409233.647238.015222.35911.30288.534350.18111.4399.9762.2566.7144.049.72331.48515.11668.026OpenBenchmarking.org

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 960

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 960intel-tf-macpro290180270360450SE +/- 12.99, N = 3428.07

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 256

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 256intel-tf-macpro270140210280350SE +/- 0.23, N = 3327.19

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 960

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 960intel-tf-macpro2306090120150SE +/- 1.22, N = 3123.12

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 512

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 512intel-tf-macpro2306090120150SE +/- 1.48, N = 3116.53

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 960

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 960intel-tf-macpro220406080100SE +/- 0.68, N = 376.98

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 512

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 512intel-tf-macpro21632486480SE +/- 1.47, N = 372.48

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 256

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 256intel-tf-macpro21530456075SE +/- 1.91, N = 369.21

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 96

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 96intel-tf-macpro260120180240300SE +/- 1.00, N = 3296.20

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 64

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 64intel-tf-macpro260120180240300SE +/- 1.47, N = 3284.30

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 32

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 32intel-tf-macpro250100150200250SE +/- 0.53, N = 3237.40

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 16

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 16intel-tf-macpro250100150200250SE +/- 0.76, N = 3210.19

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 64

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 64intel-tf-macpro220406080100SE +/- 2.66, N = 384.71

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 32

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 32intel-tf-macpro220406080100SE +/- 0.80, N = 376.65

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 64

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 64intel-tf-macpro21326395265SE +/- 1.00, N = 360.07

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 32

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 32intel-tf-macpro21224364860SE +/- 0.72, N = 351.63

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 1

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 1intel-tf-macpro2110220330440550SE +/- 0.99, N = 3499.70

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 1

OpenBenchmarking.orgms, Fewer Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 1intel-tf-macpro2306090120150SE +/- 1.87, N = 3121.67

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 1

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 1intel-tf-macpro2246810SE +/- 0.06, N = 38.80

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 1

OpenBenchmarking.orgms, Fewer Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 1intel-tf-macpro2306090120150SE +/- 1.36, N = 3126.08

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 960

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 960intel-tf-macpro280160240320400SE +/- 2.21, N = 3367.22

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 512

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 512intel-tf-macpro280160240320400SE +/- 1.65, N = 3345.22

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 960

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 960intel-tf-macpro250100150200250SE +/- 0.44, N = 3238.18

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 512

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 512intel-tf-macpro250100150200250SE +/- 1.45, N = 3222.60

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 256

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 256intel-tf-macpro250100150200250SE +/- 1.72, N = 3210.48

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 96

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 96intel-tf-macpro260120180240300SE +/- 1.47, N = 3281.02

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 64

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 64intel-tf-macpro260120180240300SE +/- 4.94, N = 3254.80

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 32

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 32intel-tf-macpro250100150200250SE +/- 4.82, N = 3232.42

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 16

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 16intel-tf-macpro270140210280350SE +/- 6.25, N = 3315.01

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 96

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 96intel-tf-macpro250100150200250SE +/- 1.88, N = 3244.41

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 64

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 64intel-tf-macpro250100150200250SE +/- 2.66, N = 3233.65

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 32

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 32intel-tf-macpro250100150200250SE +/- 1.99, N = 3238.02

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 16

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 16intel-tf-macpro250100150200250SE +/- 1.63, N = 3222.36

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 1

OpenBenchmarking.orgms, Fewer Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 1intel-tf-macpro23691215SE +/- 0.19, N = 311.30

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 1

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 1intel-tf-macpro220406080100SE +/- 1.51, N = 388.53

Intel TensorFlow

Model: mobilenetv1_fp32_pretrained_model - Batch Size: 512

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: mobilenetv1_fp32_pretrained_model - Batch Size: 512intel-tf-macpro280160240320400SE +/- 59.26, N = 3350.18

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 256

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 256intel-tf-macpro220406080100SE +/- 4.25, N = 3111.43

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 96

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 96intel-tf-macpro220406080100SE +/- 3.55, N = 399.97

Intel TensorFlow

Model: inceptionv4_int8_pretrained_model - Batch Size: 16

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_int8_pretrained_model - Batch Size: 16intel-tf-macpro21428425670SE +/- 3.06, N = 362.25

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 96

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 96intel-tf-macpro21530456075SE +/- 3.00, N = 366.71

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 16

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 16intel-tf-macpro21020304050SE +/- 2.63, N = 344.04

Intel TensorFlow

Model: inceptionv4_fp32_pretrained_model - Batch Size: 1

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: inceptionv4_fp32_pretrained_model - Batch Size: 1intel-tf-macpro23691215SE +/- 1.87, N = 39.72

Intel TensorFlow

Model: resnet50_int8_pretrained_model - Batch Size: 256

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_int8_pretrained_model - Batch Size: 256intel-tf-macpro270140210280350SE +/- 15.83, N = 3331.49

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 1

OpenBenchmarking.orgms, Fewer Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 1intel-tf-macpro248121620SE +/- 1.87, N = 315.12

Intel TensorFlow

Model: resnet50_fp32_pretrained_model - Batch Size: 1

OpenBenchmarking.orgimages/sec, More Is BetterIntel TensorFlow 2.12Model: resnet50_fp32_pretrained_model - Batch Size: 1intel-tf-macpro21530456075SE +/- 7.56, N = 368.03

Phoronix Test Suite v10.8.5