Caffe
This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark caffe.
Project Site
caffe.berkeleyvision.orgTest Created
14 November 2015Last Updated
26 September 2020Test Maintainer
Michael LarabelTest Type
SystemAverage Install Time
27 SecondsAverage Run Time
2 Minutes, 1 SecondTest Dependencies
C/C++ Compiler Toolchain + CMake + Python + BLAS (Basic Linear Algebra Sub-Routine) + C++ Boost + Linear Algebra Pack + Snappy Compression + GFlags + OpenCV + HDF5Accolades
150k+ DownloadsSupported Platforms
** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
*** Test profile page view reporting began March 2021.
Data updated weekly as of 9 November 2024.
Suites Using This Test
Performance Metrics
Analyze Test Configuration:Caffe 2020-02-13
Model: AlexNet - Acceleration: CPU - Iterations: 200
OpenBenchmarking.org metrics for this test profile configuration based on 679 public results since 26 September 2020 with the latest data as of 6 September 2024.
Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.
Based on OpenBenchmarking.org data, the selected test / test configuration (Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 200) has an average run-time of 8 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.3%.
Does It Scale Well With Increasing Cores?
No, based on the automated analysis of the collected public benchmark data, this test / test settings does not generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.
Notable Instruction Set Usage
Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).
This test profile binary relies on the shared libraries libcaffe.so.1.0.0, libglog.so.0, libgflags.so.2.2, libprotobuf.so.23, libc.so.6, libm.so.6, liblmdb.so.0, libopenblas.so.0, libunwind.so.8, libpthread.so.0, libz.so.1, libcrypto.so.3, libcurl.so.4, libsz.so.2, libgfortran.so.5, liblzma.so.5, libnghttp2.so.14, libidn2.so.0, librtmp.so.1, libssh.so.4, libpsl.so.5, libssl.so.3, libldap-2.5.so.0, liblber-2.5.so.0, libzstd.so.1, libbrotlidec.so.1, libaec.so.0, libquadmath.so.0, libunistring.so.2, libgnutls.so.30, libhogweed.so.6, libnettle.so.8, libgmp.so.10, libkrb5.so.3, libk5crypto.so.3, libkrb5support.so.0, libsasl2.so.2, libbrotlicommon.so.1, libp11-kit.so.0, libtasn1.so.6, libkeyutils.so.1, libresolv.so.2, libffi.so.8.
Tested CPU Architectures
This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
Recent Test Results
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1 System - 342 Benchmark Results |
Intel Core i9-12900K - ASUS PRIME Z790-V AX - Intel Raptor Lake-S PCH Ubuntu 24.04 - 6.8.0-47-generic - GNOME Shell 46.0 |
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1 System - 113 Benchmark Results |
AMD Ryzen 9 7900X3D 12-Core - ASUS ProArt B650-CREATOR - AMD Device 14d8 Ubuntu 24.04 - 6.8.0-47-generic - GNOME Shell 46.0 |
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2 Systems - 195 Benchmark Results |
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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2 Systems - 195 Benchmark Results
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HiSilicon TSV110 - Huawei TaiShan 200 - Huawei HiSilicon Ubuntu 22.04 - 5.15.0-119-generic - 1.3.255
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1 System - 116 Benchmark Results
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AMD Ryzen 7 3700X 8-Core - ASUS TUF GAMING X570-PLUS - AMD Starship RockyLinux 9.4 - 6.1.102-1.el9.elrepo.x86_64 - KDE Plasma 5.27.11
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2 Systems - 91 Benchmark Results
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Intel Xeon Gold 6226R - QEMU Standard PC - Intel 440FX 82441FX PMC Ubuntu 24.04 - 6.8.0-39-generic - X Server
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