TNN TR 2950X

AMD Ryzen Threadripper 2950X 16-Core testing with a MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS) and AMD FirePro V4900 1GB on Debian 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 2009259-PTS-TNNTR29584
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
1
September 25 2020
  2 Minutes
2
September 25 2020
  2 Minutes
3
September 25 2020
  2 Minutes
Invert Hiding All Results Option
  2 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


TNN TR 2950XProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen Threadripper 2950X 16-Core @ 3.50GHz (16 Cores / 32 Threads)MSI MEG X399 CREATION (MS-7B92) v1.0 (1.30 BIOS)AMD 17h32GBSamsung SSD 970 EVO 250GBAMD FirePro V4900 1GBRealtek ALC1220DELL S2409W2 x Intel I211 + Intel-AC 9260Debian 105.8.1-050801-generic (x86_64)GNOME Shell 3.30.2X Server 1.20.4 + Waylandmodesetting 1.20.43.3 Mesa 18.3.6 (LLVM 7.0.1)GCC 8.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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++ --enable-libmpx --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none --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-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x800820bSecurity Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 0.42, N = 3SE +/- 0.49, N = 3SE +/- 0.26, N = 3259.54259.13258.89MIN: 250.55 / MAX: 276.42MIN: 248.04 / MAX: 274.97MIN: 247.31 / MAX: 274.741. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 258.71 / Avg: 259.54 / Max: 260.05Min: 258.5 / Avg: 259.13 / Max: 260.1Min: 258.43 / Avg: 258.88 / Max: 259.321. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.38, N = 3SE +/- 0.15, N = 3SE +/- 0.80, N = 3242.35242.47241.24MIN: 241.27 / MAX: 245.35MIN: 241.7 / MAX: 244.76MIN: 239.14 / MAX: 243.371. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234080120160200Min: 241.65 / Avg: 242.35 / Max: 242.95Min: 242.16 / Avg: 242.47 / Max: 242.63Min: 239.83 / Avg: 241.24 / Max: 242.591. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl