intel-tf-macpro2

KVM Parallels Virtualization testing on Ubuntu 22.04 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 2309194-NE-INTELTFMA68
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Date
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  Duration
intel-tf-macpro2
September 18 2023
  10 Hours, 2 Minutes
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intel-tf-macpro2

Processor: Intel Xeon W-3275M (28 Cores), Motherboard: Parallels Software Virtual (19.0.0 54570 BIOS), Chipset: Red Hat Virtio + ICH8/R, Memory: 128GB, Disk: 1100GB Ubuntu Linux (1), Graphics: llvmpipe, Audio: Generic 1ab8, Network: Red Hat Virtio device

OS: Ubuntu 22.04, Kernel: 6.2.0-32-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 23.0.4-0ubuntu1~22.04.1 (LLVM 15.0.7 256 bits), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3724x2048, System Layer: KVM Parallels Virtualization

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Python 3.7.16
Security Notes: 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-macpro2OpenBenchmarking.orgPhoronix Test SuiteIntel 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 VirtualizationProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionSystem LayerIntel-tf-macpro2 BenchmarksSystem Logs- 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: resnet50_fp32_pretrained_model - 1intel-tensorflow: resnet50_fp32_pretrained_model - 1intel-tensorflow: resnet50_int8_pretrained_model - 1intel-tensorflow: resnet50_int8_pretrained_model - 1intel-tensorflow: resnet50_fp32_pretrained_model - 16intel-tensorflow: resnet50_fp32_pretrained_model - 32intel-tensorflow: resnet50_fp32_pretrained_model - 64intel-tensorflow: resnet50_fp32_pretrained_model - 96intel-tensorflow: resnet50_int8_pretrained_model - 16intel-tensorflow: resnet50_int8_pretrained_model - 32intel-tensorflow: resnet50_int8_pretrained_model - 64intel-tensorflow: resnet50_int8_pretrained_model - 96intel-tensorflow: resnet50_fp32_pretrained_model - 256intel-tensorflow: resnet50_fp32_pretrained_model - 512intel-tensorflow: resnet50_fp32_pretrained_model - 960intel-tensorflow: resnet50_int8_pretrained_model - 256intel-tensorflow: resnet50_int8_pretrained_model - 512intel-tensorflow: resnet50_int8_pretrained_model - 960intel-tensorflow: inceptionv4_fp32_pretrained_model - 1intel-tensorflow: inceptionv4_fp32_pretrained_model - 1intel-tensorflow: inceptionv4_int8_pretrained_model - 1intel-tensorflow: inceptionv4_int8_pretrained_model - 1intel-tensorflow: mobilenetv1_fp32_pretrained_model - 1intel-tensorflow: inceptionv4_fp32_pretrained_model - 16intel-tensorflow: inceptionv4_fp32_pretrained_model - 32intel-tensorflow: inceptionv4_fp32_pretrained_model - 64intel-tensorflow: inceptionv4_fp32_pretrained_model - 96intel-tensorflow: inceptionv4_int8_pretrained_model - 16intel-tensorflow: inceptionv4_int8_pretrained_model - 32intel-tensorflow: inceptionv4_int8_pretrained_model - 64intel-tensorflow: inceptionv4_int8_pretrained_model - 96intel-tensorflow: mobilenetv1_fp32_pretrained_model - 16intel-tensorflow: mobilenetv1_fp32_pretrained_model - 32intel-tensorflow: mobilenetv1_fp32_pretrained_model - 64intel-tensorflow: mobilenetv1_fp32_pretrained_model - 96intel-tensorflow: inceptionv4_fp32_pretrained_model - 256intel-tensorflow: inceptionv4_fp32_pretrained_model - 512intel-tensorflow: inceptionv4_fp32_pretrained_model - 960intel-tensorflow: inceptionv4_int8_pretrained_model - 256intel-tensorflow: inceptionv4_int8_pretrained_model - 512intel-tensorflow: inceptionv4_int8_pretrained_model - 960intel-tensorflow: mobilenetv1_fp32_pretrained_model - 256intel-tensorflow: mobilenetv1_fp32_pretrained_model - 512intel-tensorflow: mobilenetv1_fp32_pretrained_model - 960intel-tensorflow: mobilenetv1_int8_pretrained_model - 960intel-tf-macpro268.02615.11688.53411.302222.359238.015233.647244.409315.006232.421254.801281.019210.483222.598238.183331.485345.220367.2229.72126.0758.80121.669499.7044.0451.6360.0766.7162.2576.6584.7199.97210.19237.40284.30296.2069.2172.4876.98111.43116.53123.12327.19350.18428.07OpenBenchmarking.org

Intel TensorFlow

Intel optimized version of TensorFlow with benchmarks of Intel AI models and configurable batch sizes. Learn more via the OpenBenchmarking.org test page.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Model: mobilenetv1_int8_pretrained_model - Batch Size: 1

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

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

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

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

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

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

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

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

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

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

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

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

Model: mobilenetv1_int8_pretrained_model - Batch Size: 16

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Model: mobilenetv1_int8_pretrained_model - Batch Size: 32

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Model: mobilenetv1_int8_pretrained_model - Batch Size: 64

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Model: mobilenetv1_int8_pretrained_model - Batch Size: 96

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

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

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

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

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

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

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

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

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

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

Model: mobilenetv1_int8_pretrained_model - Batch Size: 256

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Model: mobilenetv1_int8_pretrained_model - Batch Size: 512

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Model: mobilenetv1_int8_pretrained_model - Batch Size: 960

intel-tf-macpro2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

44 Results Shown

Intel TensorFlow:
  resnet50_fp32_pretrained_model - 1:
    images/sec
    ms
  resnet50_int8_pretrained_model - 1:
    images/sec
    ms
  resnet50_fp32_pretrained_model - 16:
    images/sec
  resnet50_fp32_pretrained_model - 32:
    images/sec
  resnet50_fp32_pretrained_model - 64:
    images/sec
  resnet50_fp32_pretrained_model - 96:
    images/sec
  resnet50_int8_pretrained_model - 16:
    images/sec
  resnet50_int8_pretrained_model - 32:
    images/sec
  resnet50_int8_pretrained_model - 64:
    images/sec
  resnet50_int8_pretrained_model - 96:
    images/sec
  resnet50_fp32_pretrained_model - 256:
    images/sec
  resnet50_fp32_pretrained_model - 512:
    images/sec
  resnet50_fp32_pretrained_model - 960:
    images/sec
  resnet50_int8_pretrained_model - 256:
    images/sec
  resnet50_int8_pretrained_model - 512:
    images/sec
  resnet50_int8_pretrained_model - 960:
    images/sec
  inceptionv4_fp32_pretrained_model - 1:
    images/sec
    ms
  inceptionv4_int8_pretrained_model - 1:
    images/sec
    ms
  mobilenetv1_fp32_pretrained_model - 1:
    images/sec
  inceptionv4_fp32_pretrained_model - 16:
    images/sec
  inceptionv4_fp32_pretrained_model - 32:
    images/sec
  inceptionv4_fp32_pretrained_model - 64:
    images/sec
  inceptionv4_fp32_pretrained_model - 96:
    images/sec
  inceptionv4_int8_pretrained_model - 16:
    images/sec
  inceptionv4_int8_pretrained_model - 32:
    images/sec
  inceptionv4_int8_pretrained_model - 64:
    images/sec
  inceptionv4_int8_pretrained_model - 96:
    images/sec
  mobilenetv1_fp32_pretrained_model - 16:
    images/sec
  mobilenetv1_fp32_pretrained_model - 32:
    images/sec
  mobilenetv1_fp32_pretrained_model - 64:
    images/sec
  mobilenetv1_fp32_pretrained_model - 96:
    images/sec
  inceptionv4_fp32_pretrained_model - 256:
    images/sec
  inceptionv4_fp32_pretrained_model - 512:
    images/sec
  inceptionv4_fp32_pretrained_model - 960:
    images/sec
  inceptionv4_int8_pretrained_model - 256:
    images/sec
  inceptionv4_int8_pretrained_model - 512:
    images/sec
  inceptionv4_int8_pretrained_model - 960:
    images/sec
  mobilenetv1_fp32_pretrained_model - 256:
    images/sec
  mobilenetv1_fp32_pretrained_model - 512:
    images/sec
  mobilenetv1_fp32_pretrained_model - 960:
    images/sec

intel-tf-macpro2

Processor: Intel Xeon W-3275M (28 Cores), Motherboard: Parallels Software Virtual (19.0.0 54570 BIOS), Chipset: Red Hat Virtio + ICH8/R, Memory: 128GB, Disk: 1100GB Ubuntu Linux (1), Graphics: llvmpipe, Audio: Generic 1ab8, Network: Red Hat Virtio device

OS: Ubuntu 22.04, Kernel: 6.2.0-32-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, OpenGL: 4.5 Mesa 23.0.4-0ubuntu1~22.04.1 (LLVM 15.0.7 256 bits), Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 3724x2048, System Layer: KVM Parallels Virtualization

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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 Notes: Python 3.7.16
Security Notes: 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

Testing initiated at 18 September 2023 12:21 by user i-bobak.