Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401087-NE-DGK61774740 dgk - Phoronix Test Suite dgk Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2401087-NE-DGK61774740&export=txt&grt&sor&rro .
dgk Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL OpenCL Compiler File-System Screen Resolution s b c Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads) Dell 0DXP1F (3.7.0 BIOS) Intel Tiger Lake-LP 16GB Micron 2300 NVMe 512GB Intel Xe TGL GT2 15GB (1350MHz) Realtek ALC289 Intel Wi-Fi 6 AX201 Ubuntu 23.10 6.7.0-060700rc5-generic (x86_64) GNOME Shell 45.1 X Server + Wayland 4.6 Mesa 24.0~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa) OpenCL 3.0 GCC 13.2.0 ext4 1920x1200 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0xb4 - Thermald 2.5.4 Python Details - Python 3.11.6 Security Details - gather_data_sampling: Mitigation of Microcode + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
dgk opencl-benchmark: FP32 Compute opencl-benchmark: FP16 Compute opencl-benchmark: INT64 Compute opencl-benchmark: INT32 Compute opencl-benchmark: INT16 Compute opencl-benchmark: INT8 Compute opencl-benchmark: Memory Bandwidth Coalesced Read opencl-benchmark: Memory Bandwidth Coalesced Write pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l quicksilver: CTS2 quicksilver: CORAL2 P1 quicksilver: CORAL2 P2 speedb: Rand Fill speedb: Rand Read speedb: Update Rand speedb: Seq Fill speedb: Rand Fill Sync speedb: Read While Writing speedb: Read Rand Write Rand tensorflow: CPU - 1 - VGG-16 tensorflow: CPU - 1 - AlexNet tensorflow: CPU - 16 - VGG-16 tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 1 - GoogLeNet tensorflow: CPU - 1 - ResNet-50 tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 y-cruncher: 1B y-cruncher: 500M s b c 1.75 3.232 0.13 0.635 6.78 1.313 59.37 61.46 25.06 10.10 14.13 5.67 7.87 4.25 4216000 4330000 7935000 469349 14935067 313862 515405 6137 924588 798428 2 13.08 3.34 46.91 24.66 8.3 30.94 9.69 60.609 27.04 1.751 3.235 0.131 0.634 6.781 1.314 59.48 61.3 24.96 10.10 14.05 5.76 7.52 4.24 4129000 4241000 7942000 457177 14560540 311047 465625 5834 891013 784239 2 13.05 3.34 47.38 24.93 8.28 30.45 9.67 60.64 27.212 1.751 3.236 0.13 0.635 6.783 1.316 59.4 61.31 24.87 10.02 14.11 5.70 7.55 4.21 4181000 4292000 7900000 449590 14863698 311258 468338 6068 929902 794461 2.02 13.08 3.34 47.19 24.82 8.25 31.02 9.67 60.795 27.051 OpenBenchmarking.org
ProjectPhysX OpenCL-Benchmark Operation: FP32 Compute OpenBenchmarking.org TFLOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP32 Compute s b c 0.394 0.788 1.182 1.576 1.97 1.750 1.751 1.751 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: FP16 Compute OpenBenchmarking.org TFLOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP16 Compute s b c 0.7281 1.4562 2.1843 2.9124 3.6405 3.232 3.235 3.236 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT64 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT64 Compute s c b 0.0295 0.059 0.0885 0.118 0.1475 0.130 0.130 0.131 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT32 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT32 Compute b s c 0.1429 0.2858 0.4287 0.5716 0.7145 0.634 0.635 0.635 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT16 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT16 Compute s b c 2 4 6 8 10 6.780 6.781 6.783 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: INT8 Compute OpenBenchmarking.org TIOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT8 Compute s b c 0.2961 0.5922 0.8883 1.1844 1.4805 1.313 1.314 1.316 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: Memory Bandwidth Coalesced Read OpenBenchmarking.org GB/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Read s c b 13 26 39 52 65 59.37 59.40 59.48 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
ProjectPhysX OpenCL-Benchmark Operation: Memory Bandwidth Coalesced Write OpenBenchmarking.org GB/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Write b c s 14 28 42 56 70 61.30 61.31 61.46 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 c b s 6 12 18 24 30 24.87 24.96 25.06 MIN: 20.27 / MAX: 25.16 MIN: 19.76 / MAX: 25.3 MIN: 19.35 / MAX: 25.39
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 c s b 3 6 9 12 15 10.02 10.10 10.10 MIN: 7.24 / MAX: 10.13 MIN: 7.91 / MAX: 10.25 MIN: 7.98 / MAX: 10.23
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 b c s 4 8 12 16 20 14.05 14.11 14.13 MIN: 11.43 / MAX: 14.28 MIN: 12.28 / MAX: 14.29 MIN: 11.51 / MAX: 14.32
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 s c b 1.296 2.592 3.888 5.184 6.48 5.67 5.70 5.76 MIN: 5.16 / MAX: 5.74 MIN: 4.8 / MAX: 5.78 MIN: 5.4 / MAX: 5.82
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l b c s 2 4 6 8 10 7.52 7.55 7.87 MIN: 6.56 / MAX: 7.61 MIN: 7.02 / MAX: 7.63 MIN: 6.49 / MAX: 9.17
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l c b s 0.9563 1.9126 2.8689 3.8252 4.7815 4.21 4.24 4.25 MIN: 3.54 / MAX: 4.28 MIN: 3.32 / MAX: 4.31 MIN: 3.56 / MAX: 4.3
Quicksilver Input: CTS2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CTS2 b c s 900K 1800K 2700K 3600K 4500K 4129000 4181000 4216000 1. (CXX) g++ options: -fopenmp -O3 -march=native
Quicksilver Input: CORAL2 P1 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P1 b c s 900K 1800K 2700K 3600K 4500K 4241000 4292000 4330000 1. (CXX) g++ options: -fopenmp -O3 -march=native
Quicksilver Input: CORAL2 P2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CORAL2 P2 c s b 2M 4M 6M 8M 10M 7900000 7935000 7942000 1. (CXX) g++ options: -fopenmp -O3 -march=native
Speedb Test: Random Fill OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Fill c b s 100K 200K 300K 400K 500K 449590 457177 469349 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Random Read OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Read b c s 3M 6M 9M 12M 15M 14560540 14863698 14935067 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Update Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Update Random b c s 70K 140K 210K 280K 350K 311047 311258 313862 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Sequential Fill OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Sequential Fill b c s 110K 220K 330K 440K 550K 465625 468338 515405 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Random Fill Sync OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Fill Sync b c s 1300 2600 3900 5200 6500 5834 6068 6137 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read While Writing b s c 200K 400K 600K 800K 1000K 891013 924588 929902 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Speedb Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Read Random Write Random b c s 200K 400K 600K 800K 1000K 784239 794461 798428 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
TensorFlow Device: CPU - Batch Size: 1 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 s b c 0.4545 0.909 1.3635 1.818 2.2725 2.00 2.00 2.02
TensorFlow Device: CPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet b s c 3 6 9 12 15 13.05 13.08 13.08
TensorFlow Device: CPU - Batch Size: 16 - Model: VGG-16 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 s b c 0.7515 1.503 2.2545 3.006 3.7575 3.34 3.34 3.34
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet s c b 11 22 33 44 55 46.91 47.19 47.38
TensorFlow Device: CPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet s c b 6 12 18 24 30 24.66 24.82 24.93
TensorFlow Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 c b s 2 4 6 8 10 8.25 8.28 8.30
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet b s c 7 14 21 28 35 30.45 30.94 31.02
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 b c s 3 6 9 12 15 9.67 9.67 9.69
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B c b s 14 28 42 56 70 60.80 60.64 60.61
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M b c s 6 12 18 24 30 27.21 27.05 27.04
Phoronix Test Suite v10.8.4