Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and Intel Arc A770 DG2 16GB 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 2401078-PTS-RA95128640 ra - Phoronix Test Suite ra Intel Core i9-14900K testing with a ASUS PRIME Z790-P WIFI (1402 BIOS) and Intel Arc A770 DG2 16GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2401078-PTS-RA95128640&sro&gru .
ra Processor Motherboard Chipset Memory Disk Graphics Audio Monitor OS Kernel Desktop Display Server OpenGL OpenCL Compiler File-System Screen Resolution a b c d Intel Core i9-14900K @ 5.70GHz (24 Cores / 32 Threads) ASUS PRIME Z790-P WIFI (1402 BIOS) Intel Device 7a27 32GB Western Digital WD_BLACK SN850X 1000GB Intel Arc A770 DG2 16GB (2400MHz) Realtek ALC897 ASUS VP28U Ubuntu 23.10 6.7.0-060700rc7daily20231224-generic (x86_64) GNOME Shell 45.1 X Server 1.21.1.7 4.6 Mesa 24.0~git2312240600.c05261~oibaf~m (git-c05261a 2023-12-24 mantic-oibaf-ppa) OpenCL 3.0 GCC 13.2.0 ext4 1920x1080 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: performance) - CPU Microcode: 0x11d - Thermald 2.5.4 Python Details - Python 3.11.6 Security Details - gather_data_sampling: Not affected + 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
ra pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l quicksilver: CTS2 quicksilver: CORAL2 P1 quicksilver: CORAL2 P2 opencl-benchmark: Memory Bandwidth Coalesced Read opencl-benchmark: Memory Bandwidth Coalesced Write 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 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 opencl-benchmark: FP32 Compute opencl-benchmark: FP16 Compute opencl-benchmark: INT64 Compute opencl-benchmark: INT32 Compute opencl-benchmark: INT16 Compute opencl-benchmark: INT8 Compute y-cruncher: 1B y-cruncher: 5B y-cruncher: 500M a b c d 73.64 28.51 44.10 44.00 17.00 16.99 13.29 11.57 11.59 16370000 18660000 17310000 220.35 447.57 5.77 21.8 10.35 159.94 67.62 19.79 115.24 36.03 1072435 161862046 587707 1173524 45735 6719085 3284249 12.002 18.32 1.259 5.466 29.73 11.384 22.641 137.771 9.632 71.64 22.11 43.54 43.36 17.13 15.77 12.89 8.70 11.63 17160000 21210000 17040000 224.17 447.53 5.77 21.77 10.33 159.35 67.78 19.84 117.81 36.15 1072134 153376335 586402 1158616 45930 5231830 3274485 12.064 17.79 1.26 5.465 29.753 11.381 22.531 137.497 9.894 58.93 27.88 43.83 43.76 17.08 17.04 13.19 8.81 8.72 15220000 18630000 17220000 219.56 438.89 5.78 21.72 10.36 159.35 67.34 19.87 118.39 35.65 1083754 161805380 585805 1189205 46257 7297328 3293583 11.99 18.29 1.282 5.466 29.765 11.386 22.531 137.118 9.759 73.13 27.25 38.12 37.94 17.00 17.00 12.95 11.67 8.70 16520000 21180000 17190000 221.78 442.59 5.78 21.76 10.36 159.65 68.05 19.87 114.45 35.69 1081261 161052165 592787 1151534 45697 5236657 3282528 12.067 18.313 1.277 5.466 29.724 11.386 22.548 137.699 9.865 OpenBenchmarking.org
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 a b c d 16 32 48 64 80 73.64 71.64 58.93 73.13 MIN: 72.2 / MAX: 73.92 MIN: 18.09 / MAX: 72.77 MIN: 58.53 / MAX: 70.01 MIN: 17.49 / MAX: 74.29
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 a b c d 7 14 21 28 35 28.51 22.11 27.88 27.25 MIN: 8.48 / MAX: 28.98 MIN: 8.15 / MAX: 26.78 MIN: 8.7 / MAX: 28.91 MIN: 8.44 / MAX: 28.21
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 a b c d 10 20 30 40 50 44.10 43.54 43.83 38.12 MIN: 13.24 / MAX: 45.85 MIN: 10.62 / MAX: 45.46 MIN: 15.12 / MAX: 45.84 MIN: 9.95 / MAX: 42.77
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a b c d 10 20 30 40 50 44.00 43.36 43.76 37.94 MIN: 11.96 / MAX: 45.72 MIN: 13.12 / MAX: 45.54 MIN: 15 / MAX: 45.94 MIN: 9.49 / MAX: 39.47
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 a b c d 4 8 12 16 20 17.00 17.13 17.08 17.00 MIN: 6.54 / MAX: 17.74 MIN: 10.27 / MAX: 17.85 MIN: 8.2 / MAX: 17.84 MIN: 7.61 / MAX: 17.69
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a b c d 4 8 12 16 20 16.99 15.77 17.04 17.00 MIN: 7 / MAX: 17.7 MIN: 6.2 / MAX: 17.91 MIN: 11.16 / MAX: 17.77 MIN: 9.03 / MAX: 17.71
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 a b c d 3 6 9 12 15 13.29 12.89 13.19 12.95 MIN: 3.93 / MAX: 17.56 MIN: 3.58 / MAX: 17.58 MIN: 3.75 / MAX: 17.57 MIN: 4.12 / MAX: 17.48
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 a b c d 3 6 9 12 15 11.57 8.70 8.81 11.67 MIN: 5.95 / MAX: 12.1 MIN: 4.37 / MAX: 9.01 MIN: 4.44 / MAX: 9.1 MIN: 5.2 / MAX: 12.21
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a b c d 3 6 9 12 15 11.59 11.63 8.72 8.70 MIN: 5.99 / MAX: 12.15 MIN: 5.33 / MAX: 12.18 MIN: 4.42 / MAX: 9 MIN: 4.32 / MAX: 9.45
Quicksilver Input: CTS2 OpenBenchmarking.org Figure Of Merit, More Is Better Quicksilver 20230818 Input: CTS2 a b c d 4M 8M 12M 16M 20M 16370000 17160000 15220000 16520000 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 a b c d 5M 10M 15M 20M 25M 18660000 21210000 18630000 21180000 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 a b c d 4M 8M 12M 16M 20M 17310000 17040000 17220000 17190000 1. (CXX) g++ options: -fopenmp -O3 -march=native
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 a b c d 50 100 150 200 250 220.35 224.17 219.56 221.78 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 a b c d 100 200 300 400 500 445.78 447.53 438.89 442.59 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
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 a b c d 1.3005 2.601 3.9015 5.202 6.5025 5.77 5.77 5.78 5.78
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 a b c d 5 10 15 20 25 21.80 21.77 21.72 21.76
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 a b c d 3 6 9 12 15 10.35 10.33 10.36 10.36
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 a b c d 40 80 120 160 200 159.94 159.35 159.35 159.65
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 a b c d 15 30 45 60 75 67.62 67.78 67.34 68.05
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 a b c d 5 10 15 20 25 19.79 19.84 19.87 19.87
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 a b c d 30 60 90 120 150 115.24 117.81 118.39 114.45
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 a b c d 8 16 24 32 40 36.03 36.15 35.65 35.69
Speedb Test: Random Fill OpenBenchmarking.org Op/s, More Is Better Speedb 2.7 Test: Random Fill a b c d 200K 400K 600K 800K 1000K 1072435 1072134 1083754 1081261 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 a b c d 30M 60M 90M 120M 150M 161862046 153376335 161805380 161052165 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 a b c d 130K 260K 390K 520K 650K 587707 586402 585805 592787 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 a b c d 300K 600K 900K 1200K 1500K 1173524 1158616 1189205 1151534 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 a b c d 10K 20K 30K 40K 50K 45735 45930 46257 45697 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 a b c d 1.6M 3.2M 4.8M 6.4M 8M 6719085 5231830 7297328 5236657 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 a b c d 700K 1400K 2100K 2800K 3500K 3284249 3274485 3293583 3282528 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
ProjectPhysX OpenCL-Benchmark Operation: FP32 Compute OpenBenchmarking.org TFLOPs/s, More Is Better ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP32 Compute a b c d 3 6 9 12 15 12.00 12.06 11.99 12.07 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 a b c d 5 10 15 20 25 18.31 17.79 18.29 18.31 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 a b c d 0.2885 0.577 0.8655 1.154 1.4425 1.259 1.260 1.282 1.277 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 a b c d 1.2299 2.4598 3.6897 4.9196 6.1495 5.465 5.465 5.466 5.466 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 a b c d 7 14 21 28 35 29.73 29.75 29.77 29.72 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 a b c d 3 6 9 12 15 11.38 11.38 11.39 11.39 1. (CXX) g++ options: -std=c++17 -pthread -lOpenCL
Y-Cruncher Pi Digits To Calculate: 1B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B a b c d 5 10 15 20 25 22.64 22.53 22.53 22.55
Y-Cruncher Pi Digits To Calculate: 5B OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 5B a b c d 30 60 90 120 150 137.77 137.50 137.12 137.70
Y-Cruncher Pi Digits To Calculate: 500M OpenBenchmarking.org Seconds, Fewer Is Better Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M a b c d 3 6 9 12 15 9.632 9.894 9.759 9.865
Phoronix Test Suite v10.8.4