new week ATests for a future article. MD Ryzen Threadripper PRO 5965WX 24-Cores testing with a ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) and ASUS NVIDIA NV106 2GB on Ubuntu 23.10 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2403307-NE-NEWWEEK0194&grt&rdt&rro .
new week Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution a b AMD Ryzen Threadripper PRO 5965WX 24-Cores @ 3.80GHz (24 Cores / 48 Threads) ASUS Pro WS WRX80E-SAGE SE WIFI (1201 BIOS) AMD Starship/Matisse 8 x 16GB DDR4-2133MT/s Corsair CMK32GX4M2E3200C16 2048GB SOLIDIGM SSDPFKKW020X7 ASUS NVIDIA NV106 2GB AMD Starship/Matisse VA2431 2 x Intel X550 + Intel Wi-Fi 6 AX200 Ubuntu 23.10 6.5.0-26-generic (x86_64) GNOME Shell 45.0 X Server + Wayland nouveau 4.3 Mesa 23.2.1-1ubuntu3 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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa008205 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: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
new week blender: BMW27 - CPU-Only blender: Junkshop - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only mariadb: oltp_read_only - 64 mariadb: oltp_read_only - 512 mariadb: oltp_read_only - 768 mariadb: oltp_read_write - 64 mariadb: oltp_write_only - 64 mariadb: oltp_read_write - 512 mariadb: oltp_write_only - 512 mariadb: oltp_write_only - 768 mariadb: oltp_point_select - 64 mariadb: oltp_update_index - 64 mariadb: oltp_point_select - 512 mariadb: oltp_point_select - 768 mariadb: oltp_update_index - 512 mariadb: oltp_update_index - 768 mariadb: oltp_update_non_index - 64 mariadb: oltp_update_non_index - 512 mariadb: oltp_update_non_index - 768 mysqlslap: 512 mysqlslap: 1024 pytorch: CPU - 1 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 32 - ResNet-50 pytorch: CPU - 64 - ResNet-50 pytorch: CPU - 16 - ResNet-152 pytorch: CPU - 256 - ResNet-50 pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 64 - ResNet-152 pytorch: CPU - 256 - ResNet-152 pytorch: CPU - 1 - Efficientnet_v2_l pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l pytorch: CPU - 64 - Efficientnet_v2_l pytorch: CPU - 256 - Efficientnet_v2_l tensorflow: CPU - 1 - AlexNet tensorflow: CPU - 16 - AlexNet tensorflow: CPU - 32 - AlexNet tensorflow: CPU - 64 - AlexNet tensorflow: CPU - 1 - GoogLeNet tensorflow: CPU - 1 - ResNet-50 tensorflow: CPU - 256 - AlexNet tensorflow: CPU - 16 - GoogLeNet tensorflow: CPU - 16 - ResNet-50 tensorflow: CPU - 32 - GoogLeNet tensorflow: CPU - 32 - ResNet-50 tensorflow: CPU - 64 - GoogLeNet tensorflow: CPU - 64 - ResNet-50 tensorflow: CPU - 256 - GoogLeNet tensorflow: CPU - 256 - ResNet-50 build-mesa: Time To Compile a b 46.92 66.05 122.94 56.74 451.14 144.93 17560 16961 16718 125688 206145 73844 213913 166357 25236 68422 24260 23180 119718 103448 55705 117854 50894 79 7 40.17 15.64 31.71 31.91 31.64 12.30 31.90 12.27 12.29 12.32 9.42 6.82 6.93 6.80 6.90 10.7 101.63 118.38 134.28 12.73 9.6 152.96 60.85 18.91 61.27 20.17 58.15 19.7 57.87 19.48 16.529 47.27 66.69 123 57.21 453.43 144.76 17494 16848 16736 120550 163585 89036 153471 177622 24909 54103 24448 23536 98978 96743 40385 110045 108525 68 7 39.95 15.63 31.99 31.89 31.74 12.26 31.54 12.38 12.33 12.36 9.44 6.96 6.95 6.85 6.92 10.87 102.11 117.25 133.67 12.29 9.66 152.53 60.8 20.09 60.8 19.99 59.03 19.54 57.36 19.43 16.379 OpenBenchmarking.org
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: BMW27 - Compute: CPU-Only b a 11 22 33 44 55 47.27 46.92
Blender Blend File: Junkshop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Junkshop - Compute: CPU-Only b a 15 30 45 60 75 66.69 66.05
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Classroom - Compute: CPU-Only b a 30 60 90 120 150 123.00 122.94
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only b a 13 26 39 52 65 57.21 56.74
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Barbershop - Compute: CPU-Only b a 100 200 300 400 500 453.43 451.14
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only b a 30 60 90 120 150 144.76 144.93
MariaDB Test: oltp_read_only - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_read_only - Threads: 64 b a 4K 8K 12K 16K 20K 17494 17560 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_read_only - Threads: 512 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_read_only - Threads: 512 b a 4K 8K 12K 16K 20K 16848 16961 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_read_only - Threads: 768 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_read_only - Threads: 768 b a 4K 8K 12K 16K 20K 16736 16718 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_read_write - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_read_write - Threads: 64 b a 30K 60K 90K 120K 150K 120550 125688 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_write_only - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_write_only - Threads: 64 b a 40K 80K 120K 160K 200K 163585 206145 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_read_write - Threads: 512 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_read_write - Threads: 512 b a 20K 40K 60K 80K 100K 89036 73844 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_write_only - Threads: 512 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_write_only - Threads: 512 b a 50K 100K 150K 200K 250K 153471 213913 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_write_only - Threads: 768 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_write_only - Threads: 768 b a 40K 80K 120K 160K 200K 177622 166357 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_point_select - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_point_select - Threads: 64 b a 5K 10K 15K 20K 25K 24909 25236 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_update_index - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_update_index - Threads: 64 b a 15K 30K 45K 60K 75K 54103 68422 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_point_select - Threads: 512 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_point_select - Threads: 512 b a 5K 10K 15K 20K 25K 24448 24260 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_point_select - Threads: 768 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_point_select - Threads: 768 b a 5K 10K 15K 20K 25K 23536 23180 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_update_index - Threads: 512 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_update_index - Threads: 512 b a 30K 60K 90K 120K 150K 98978 119718 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_update_index - Threads: 768 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_update_index - Threads: 768 b a 20K 40K 60K 80K 100K 96743 103448 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_update_non_index - Threads: 64 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_update_non_index - Threads: 64 b a 12K 24K 36K 48K 60K 40385 55705 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_update_non_index - Threads: 512 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_update_non_index - Threads: 512 b a 30K 60K 90K 120K 150K 110045 117854 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB Test: oltp_update_non_index - Threads: 768 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB 11.5 Test: oltp_update_non_index - Threads: 768 b a 20K 40K 60K 80K 100K 108525 50894 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB mariadb-slap Clients: 512 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB mariadb-slap 11.5 Clients: 512 b a 20 40 60 80 100 68 79 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
MariaDB mariadb-slap Clients: 1024 OpenBenchmarking.org Queries Per Second, More Is Better MariaDB mariadb-slap 11.5 Clients: 1024 b a 2 4 6 8 10 7 7 1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -shared -lrt -lpthread -lz -ldl -lm -lstdc++
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 b a 9 18 27 36 45 39.95 40.17 MIN: 37.01 / MAX: 40.27 MIN: 38.51 / MAX: 40.42
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 b a 4 8 12 16 20 15.63 15.64 MIN: 15.1 / MAX: 15.7 MIN: 15.32 / MAX: 15.71
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 b a 7 14 21 28 35 31.99 31.71 MIN: 29.99 / MAX: 32.28 MIN: 30.77 / MAX: 31.92
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 b a 7 14 21 28 35 31.89 31.91 MIN: 29.92 / MAX: 32.2 MIN: 30.13 / MAX: 32.28
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 b a 7 14 21 28 35 31.74 31.64 MIN: 29.9 / MAX: 31.94 MIN: 29.82 / MAX: 31.92
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 b a 3 6 9 12 15 12.26 12.30 MIN: 11.94 / MAX: 12.34 MIN: 12.02 / MAX: 12.39
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 b a 7 14 21 28 35 31.54 31.90 MIN: 29.77 / MAX: 31.77 MIN: 30.01 / MAX: 32.16
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 b a 3 6 9 12 15 12.38 12.27 MIN: 11.95 / MAX: 12.45 MIN: 11.51 / MAX: 12.33
PyTorch Device: CPU - Batch Size: 64 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 b a 3 6 9 12 15 12.33 12.29 MIN: 12.03 / MAX: 12.4 MIN: 11.98 / MAX: 12.41
PyTorch Device: CPU - Batch Size: 256 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 b a 3 6 9 12 15 12.36 12.32 MIN: 12.02 / MAX: 12.42 MIN: 12.01 / MAX: 12.41
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l b a 3 6 9 12 15 9.44 9.42 MIN: 9.25 / MAX: 9.49 MIN: 9.22 / MAX: 9.48
PyTorch Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l b a 2 4 6 8 10 6.96 6.82 MIN: 6.84 / MAX: 6.98 MIN: 6.71 / MAX: 6.86
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l b a 2 4 6 8 10 6.95 6.93 MIN: 6.85 / MAX: 6.98 MIN: 6.82 / MAX: 6.99
PyTorch Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l b a 2 4 6 8 10 6.85 6.80 MIN: 6.75 / MAX: 6.88 MIN: 6.7 / MAX: 6.83
PyTorch Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l b a 2 4 6 8 10 6.92 6.90 MIN: 6.82 / MAX: 6.95 MIN: 6.79 / MAX: 6.93
TensorFlow Device: CPU - Batch Size: 1 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: AlexNet b a 3 6 9 12 15 10.87 10.70
TensorFlow Device: CPU - Batch Size: 16 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: AlexNet b a 20 40 60 80 100 102.11 101.63
TensorFlow Device: CPU - Batch Size: 32 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: AlexNet b a 30 60 90 120 150 117.25 118.38
TensorFlow Device: CPU - Batch Size: 64 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: AlexNet b a 30 60 90 120 150 133.67 134.28
TensorFlow Device: CPU - Batch Size: 1 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: GoogLeNet b a 3 6 9 12 15 12.29 12.73
TensorFlow Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 b a 3 6 9 12 15 9.66 9.60
TensorFlow Device: CPU - Batch Size: 256 - Model: AlexNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: AlexNet b a 30 60 90 120 150 152.53 152.96
TensorFlow Device: CPU - Batch Size: 16 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: GoogLeNet b a 14 28 42 56 70 60.80 60.85
TensorFlow Device: CPU - Batch Size: 16 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 b a 5 10 15 20 25 20.09 18.91
TensorFlow Device: CPU - Batch Size: 32 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: GoogLeNet b a 14 28 42 56 70 60.80 61.27
TensorFlow Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 b a 5 10 15 20 25 19.99 20.17
TensorFlow Device: CPU - Batch Size: 64 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: GoogLeNet b a 13 26 39 52 65 59.03 58.15
TensorFlow Device: CPU - Batch Size: 64 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 b a 5 10 15 20 25 19.54 19.70
TensorFlow Device: CPU - Batch Size: 256 - Model: GoogLeNet OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: GoogLeNet b a 13 26 39 52 65 57.36 57.87
TensorFlow Device: CPU - Batch Size: 256 - Model: ResNet-50 OpenBenchmarking.org images/sec, More Is Better TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 b a 5 10 15 20 25 19.43 19.48
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 24.0 Time To Compile b a 4 8 12 16 20 16.38 16.53
Phoronix Test Suite v10.8.5