NVIDIA GeForce GTX 650 vs. GeForce GTX 1650 benchmarks by Michael Larabel for a future article on Phoronix.com.
Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0802 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB + 2000GB SABRENT, Graphics: MSI NVIDIA GeForce GTX 650 1GB (1084/2500MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel I219-V
OS: Ubuntu 19.04, Kernel: 5.0.0-13-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: NVIDIA 430.09, OpenGL: 4.6.0, OpenCL: OpenCL 2.0 beignet 1.3 + OpenCL 1.2 CUDA 10.1.120, Vulkan: 1.1.99, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --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 Notes: Scaling Governor: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 384
Python Notes: Python 2.7.16 + Python 3.7.3
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp
Changed Graphics to ASUS NVIDIA GeForce GTX 1650 4GB (1485/4001MHz).
OpenCL Change: GPU Compute Cores: 896
This test calculates the average frame-rate within the Heaven demo for the Unigine engine. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.
This test calculates the average frame-rate within the Valley demo for the Unigine engine, released in February 2013. This engine is extremely demanding on the system's graphics card. Unigine Valley relies upon an OpenGL 3 core profile context. Learn more via the OpenBenchmarking.org test page.
This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of Valve's Dota 2 game. The test profile assumes you have a Steam account, have Steam installed for the system, and that you have rights to Dota 2. This automates the process of executing the game and using a standardized time demo. Learn more via the OpenBenchmarking.org test page.
Tesseract is a fork of Cube 2 Sauerbraten with numerous graphics and game-play improvements. Tesseract has been in development since 2012 while its first release happened in May of 2014. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of Xonotic, which is a fork of the DarkPlaces-based Nexuiz game. Development began in March of 2010 on the Xonotic game. Learn more via the OpenBenchmarking.org test page.
This is a test of OpenArena, a popular open-source first-person shooter. This game is based upon ioquake3, which in turn uses the GPL version of id Software's Quake 3 engine. Learn more via the OpenBenchmarking.org test page.
This test runs ParaView benchmarks: an open-source data analytics and visualization application. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of Deus Ex: Mankind Divided on Steam. The test profile assumes you have a Steam account, have Steam installed for the system, and that you own a copy of this game. This automates the process of executing the game and using its built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of F1 2018 running under Steam Play (Proton) on Linux. The test profile assumes you have a Steam account, have Steam installed for the system, and that the game is already purchased/installed. This automates the process of executing the game and using a standardized time demo. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of HITMAN on Steam. The test profile assumes you have a Steam account, have Steam installed for the system, and that you own a copy of this game. This automates the process of executing the game and using its built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of Mad Max on Steam. The test profile assumes you have a Steam account, have Steam installed for the system, and that you own a copy of this game. This automates the process of executing the game and using its built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
This is a benchmark of Valve's Portal game. The test profile assumes you have a Steam account and have Steam installed for the system. This automates the process of executing the game and using a standardized time demo. Learn more via the OpenBenchmarking.org test page.
Total War: WARHAMMER II on Steam. The test profile assumes you have a Steam account, have Steam installed for the system, and that you own a copy of this game. This automates the process of executing the game and using its built-in benchmark mode. Backs up old preferences (in ~/.local/share/feral-interactive/) for the run. NOTES for cross-platform comparisons: TODO Learn more via the OpenBenchmarking.org test page.
This is a benchmark of the Tomb Raider (2013) game. The test profile assumes you have a Steam account, have Steam installed for the system, and that you own Tomb Raider. This automates the process of executing the game and using the built-in benchmark functionality. Learn more via the OpenBenchmarking.org test page.
This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. Learn more via the OpenBenchmarking.org test page.
Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0802 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB + 2000GB SABRENT, Graphics: MSI NVIDIA GeForce GTX 650 1GB (1084/2500MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel I219-V
OS: Ubuntu 19.04, Kernel: 5.0.0-13-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: NVIDIA 430.09, OpenGL: 4.6.0, OpenCL: OpenCL 2.0 beignet 1.3 + OpenCL 1.2 CUDA 10.1.120, Vulkan: 1.1.99, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --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 Notes: Scaling Governor: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 384
Python Notes: Python 2.7.16 + Python 3.7.3
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp
Testing initiated at 12 May 2019 09:23 by user phoronix.
Processor: Intel Core i9-9900K @ 5.00GHz (8 Cores / 16 Threads), Motherboard: ASUS PRIME Z390-A (0802 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16384MB, Disk: Samsung SSD 970 EVO 250GB + 2000GB SABRENT, Graphics: ASUS NVIDIA GeForce GTX 1650 4GB (1485/4001MHz), Audio: Realtek ALC1220, Monitor: DELL P2415Q, Network: Intel I219-V
OS: Ubuntu 19.04, Kernel: 5.0.0-13-generic (x86_64), Desktop: GNOME Shell 3.32.0, Display Server: X Server 1.20.4, Display Driver: NVIDIA 430.09, OpenGL: 4.6.0, OpenCL: OpenCL 2.0 beignet 1.3 + OpenCL 1.2 CUDA 10.1.120, Vulkan: 1.1.99, Compiler: GCC 8.3.0, File-System: ext4, Screen Resolution: 1920x1080
Compiler Notes: --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 Notes: Scaling Governor: intel_pstate performance
OpenCL Notes: GPU Compute Cores: 896
Python Notes: Python 2.7.16 + Python 3.7.3
Security Notes: __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp
Testing initiated at 12 May 2019 14:12 by user phoronix.