AMD Ryzen 7 5800X 8-Core testing with a ASRock B550 Phantom Gaming-ITX/ax (L1.61 BIOS) and Sapphire AMD Radeon RX 6800/6800 XT / 6900 16GB on Garuda Soaring via the Phoronix Test Suite.
bhz-big1closed-salient-allselected-01 Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.10+9)Python Notes: Python 3.9.3Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
bhz-big1ecoclosed-salient-allselected-01 Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.10+9)Python Notes: Python 3.9.3Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
bhz-big1ecoclosed-salient-dota2-01 Processor: AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASRock B550 Phantom Gaming-ITX/ax (L1.61 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Corsair Force MP600, Graphics: Sapphire AMD Radeon RX 6800/6800 XT / 6900 16GB (2475/1000MHz), Audio: AMD Device ab28, Monitor: VG279QM, Network: Intel I225-V + Intel Wi-Fi 6 AX200
OS: salientos rolling, Kernel: 5.11.13-arch1-1 (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.20.11, OpenGL: 4.6 Mesa 21.0.2 (LLVM 11.1.0), Vulkan: 1.2.173, Compiler: GCC 10.2.0 + Clang 11.1.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
bhz-big1ecoclosed-garuda-allselected-01 OS: Garuda Soaring, Kernel: 5.10.27-1-lts (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.20.11, OpenGL: 4.6 Mesa 21.0.3 (LLVM 11.1.0), Vulkan: 1.2.145, Compiler: GCC 10.2.0 + Clang 11.1.0, File-System: btrfs, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.11+9)Python Notes: Python 3.9.4Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
bhz-big1closed-garuda-allselected-01 OS: Garuda Soaring, Kernel: 5.11.16-zen1-1-zen (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.20.11, OpenGL: 4.6 Mesa 21.0.3 (LLVM 11.1.0), Vulkan: 1.2.145, Compiler: GCC 10.2.0 + Clang 11.1.0, File-System: btrfs, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: alwaysCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.11+9)Python Notes: Python 3.9.4Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
libgav1 Libgav1 is an AV1 decoder developed by Google for AV1 profile 0/1 compliance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 30 60 90 120 150 SE +/- 0.23, N = 3 SE +/- 0.30, N = 3 SE +/- 0.25, N = 3 SE +/- 0.26, N = 3 74.28 73.97 134.05 136.63 1. (CXX) g++ options: -O3 -lpthread
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 41.0 56.1 62.8 bhz-big1ecoclosed-salient-allselected-01 42.4 55.9 63.3 bhz-big1ecoclosed-garuda-allselected-01 44.3 68.5 72.0 bhz-big1closed-garuda-allselected-01 42.9 69.3 73.3 OpenBenchmarking.org Celsius, Fewer Is Better libgav1 2019-10-05 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better libgav1 2019-10-05 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.3 43.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.4 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.2 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.5 30.0 OpenBenchmarking.org Watts, Fewer Is Better libgav1 2019-10-05 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 1934 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1952 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1147 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 202 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.2 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.9 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.4 59.0 bhz-big1closed-garuda-allselected-01 30.0 31.0 31.0 OpenBenchmarking.org Celsius, Fewer Is Better libgav1 2019-10-05 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 36.9 38.3 38.9 bhz-big1ecoclosed-salient-allselected-01 36.9 38.3 38.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.8 43.9 bhz-big1closed-garuda-allselected-01 42.9 42.8 42.9 OpenBenchmarking.org Celsius, Fewer Is Better libgav1 2019-10-05 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Summer Nature 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 30 60 90 120 150 Min: 73.9 / Avg: 74.28 / Max: 74.7 Min: 73.62 / Avg: 73.97 / Max: 74.58 Min: 133.56 / Avg: 134.05 / Max: 134.34 Min: 136.11 / Avg: 136.63 / Max: 136.9 1. (CXX) g++ options: -O3 -lpthread
Result
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 SE +/- 0.83, N = 12 SE +/- 0.27, N = 3 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 54.26 51.57 88.51 91.70 1. (CXX) g++ options: -O3 -lpthread
CPU Temp
OpenBenchmarking.org Celsius, Fewer Is Better libgav1 2019-10-05 CPU Temperature Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 15 30 45 60 75 Min: 40 / Avg: 63.54 / Max: 78.88 Min: 40.38 / Avg: 61.42 / Max: 70.38 Min: 45.63 / Avg: 72.67 / Max: 75.63 Min: 44.25 / Avg: 76.14 / Max: 80.38
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better libgav1 2019-10-05 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
OpenBenchmarking.org Watts, Fewer Is Better libgav1 2019-10-05 GPU Power Consumption Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 9 18 27 36 45 Min: 35 / Avg: 36.1 / Max: 46 Min: 35 / Avg: 36.16 / Max: 45 Min: 35 / Avg: 36.13 / Max: 41 Min: 6 / Avg: 6.22 / Max: 19 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 6143 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 6460 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 3818 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 637 Joules per run.
GPU Temp
OpenBenchmarking.org Celsius, Fewer Is Better libgav1 2019-10-05 GPU Temperature Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 12 24 36 48 60 Min: 57 / Avg: 58.16 / Max: 59 Min: 57 / Avg: 57.99 / Max: 59 Min: 58 / Avg: 58.18 / Max: 59 Min: 30 / Avg: 30.93 / Max: 31
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better libgav1 2019-10-05 Drive Temperature (nvme0n1) Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 9 18 27 36 45 Min: 37.85 / Avg: 38.65 / Max: 42.85 Min: 38.85 / Avg: 41.18 / Max: 43.85 Min: 43.85 / Avg: 43.85 / Max: 43.85 Min: 42.85 / Avg: 42.85 / Max: 42.85
Result Confidence
OpenBenchmarking.org FPS, More Is Better libgav1 2019-10-05 Video Input: Chimera 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 Min: 48.66 / Avg: 54.26 / Max: 57.79 Min: 51.2 / Avg: 51.57 / Max: 52.09 Min: 88.27 / Avg: 88.51 / Max: 88.63 Min: 91.57 / Avg: 91.7 / Max: 91.77 1. (CXX) g++ options: -O3 -lpthread
FFmpeg This test uses FFmpeg for testing the system's audio/video encoding performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 SE +/- 0.040, N = 6 SE +/- 0.020, N = 6 SE +/- 0.015, N = 8 SE +/- 0.027, N = 8 7.053 7.144 4.415 4.315 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lxcb-shm -lxcb-shape -lxcb-xfixes -lasound -pthread -lSDL2 -lva -lbz2 -llzma -lva-drm -lva-x11 -lvdpau -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.0 57.0 63.6 bhz-big1ecoclosed-salient-allselected-01 39.8 55.3 61.5 bhz-big1ecoclosed-garuda-allselected-01 42.8 62.8 68.9 bhz-big1closed-garuda-allselected-01 40.6 62.9 68.9 OpenBenchmarking.org Celsius, Fewer Is Better FFmpeg 4.0.2 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better FFmpeg 4.0.2 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 37.5 41.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.1 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.4 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.4 7.0 OpenBenchmarking.org Watts, Fewer Is Better FFmpeg 4.0.2 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 413 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 414 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 309 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 53 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 59.0 60.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.7 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.4 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.3 32.0 OpenBenchmarking.org Celsius, Fewer Is Better FFmpeg 4.0.2 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better FFmpeg 4.0.2 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 4.0.2 H.264 HD To NTSC DV bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 6.92 / Avg: 7.05 / Max: 7.21 Min: 7.07 / Avg: 7.14 / Max: 7.2 Min: 4.38 / Avg: 4.42 / Max: 4.48 Min: 4.24 / Avg: 4.32 / Max: 4.42 1. (CC) gcc options: -lavdevice -lavfilter -lavformat -lavcodec -lswresample -lswscale -lavutil -lXv -lX11 -lXext -lm -lxcb -lxcb-shm -lxcb-shape -lxcb-xfixes -lasound -pthread -lSDL2 -lva -lbz2 -llzma -lva-drm -lva-x11 -lvdpau -std=c11 -fomit-frame-pointer -fPIC -O3 -fno-math-errno -fno-signed-zeros -fno-tree-vectorize -MMD -MF -MT
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 500 1000 1500 2000 2500 SE +/- 19.53, N = 20 SE +/- 30.94, N = 20 SE +/- 14.68, N = 20 SE +/- 11.79, N = 7 2447 2514 2138 2021
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 41.0 65.2 74.1 bhz-big1ecoclosed-salient-allselected-01 41.4 62.2 68.0 bhz-big1ecoclosed-garuda-allselected-01 43.0 63.4 68.4 bhz-big1closed-garuda-allselected-01 41.8 63.9 71.5 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 37.2 45.0 bhz-big1ecoclosed-salient-allselected-01 35.0 37.5 46.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.3 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.8 19.0 OpenBenchmarking.org Watts, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 390 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 397 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 374 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 69 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.6 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-salient-allselected-01 36.9 37.2 37.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.9 43.9 bhz-big1closed-garuda-allselected-01 42.9 42.8 42.9 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradebeans bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 400 800 1200 1600 2000 Min: 2290 / Avg: 2446.65 / Max: 2577 Min: 2297 / Avg: 2514.15 / Max: 2792 Min: 2022 / Avg: 2138.2 / Max: 2278 Min: 1984 / Avg: 2021.29 / Max: 2065
Bork File Encrypter Bork is a small, cross-platform file encryption utility. It is written in Java and designed to be included along with the files it encrypts for long-term storage. This test measures the amount of time it takes to encrypt a sample file. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 SE +/- 0.043, N = 6 SE +/- 0.034, N = 6 SE +/- 0.060, N = 6 SE +/- 0.055, N = 9 6.321 6.288 6.994 6.900
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 50.0 63.8 71.0 bhz-big1ecoclosed-salient-allselected-01 45.5 62.2 68.0 bhz-big1ecoclosed-garuda-allselected-01 48.3 65.8 70.0 bhz-big1closed-garuda-allselected-01 51.0 65.6 71.0 OpenBenchmarking.org Celsius, Fewer Is Better Bork File Encrypter 1.4 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Bork File Encrypter 1.4 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 37.0 43.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.6 45.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.1 37.0 bhz-big1closed-garuda-allselected-01 6.0 7.1 19.0 OpenBenchmarking.org Watts, Fewer Is Better Bork File Encrypter 1.4 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 395 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 401 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 415 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 80 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.3 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.6 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better Bork File Encrypter 1.4 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-garuda-allselected-01 42.9 43.3 43.9 bhz-big1ecoclosed-salient-allselected-01 38.9 38.9 38.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.9 43.9 OpenBenchmarking.org Celsius, Fewer Is Better Bork File Encrypter 1.4 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Bork File Encrypter 1.4 File Encryption Time bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 6.17 / Avg: 6.32 / Max: 6.49 Min: 6.15 / Avg: 6.29 / Max: 6.41 Min: 6.74 / Avg: 6.99 / Max: 7.14 Min: 6.69 / Avg: 6.9 / Max: 7.2
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 7.02 6.96 6.47 6.48
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.1 55.0 57.0 bhz-big1ecoclosed-salient-allselected-01 40.9 55.1 57.0 bhz-big1ecoclosed-garuda-allselected-01 42.9 60.2 62.6 bhz-big1closed-garuda-allselected-01 40.8 57.2 59.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 6.8 20.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.5 45.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.2 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 19.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 434 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 2309 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 2134 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 368 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.5 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.8 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 42.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 6.99 / Avg: 7.02 / Max: 7.05 Min: 6.92 / Avg: 6.96 / Max: 7.02 Min: 6.46 / Avg: 6.47 / Max: 6.47 Min: 6.47 / Avg: 6.48 / Max: 6.48
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 700 1400 2100 2800 3500 SE +/- 17.17, N = 5 SE +/- 21.00, N = 5 SE +/- 20.94, N = 6 SE +/- 26.24, N = 8 2881 3105 3051 2974
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 42.1 66.9 74.6 bhz-big1ecoclosed-salient-allselected-01 41.6 61.9 67.3 bhz-big1ecoclosed-garuda-allselected-01 44.1 63.2 69.1 bhz-big1closed-garuda-allselected-01 41.9 66.3 73.3 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 37.3 42.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.3 44.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.2 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.1 7.0 OpenBenchmarking.org Watts, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 492 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 507 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 410 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 76 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.7 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.9 60.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 31.0 31.0 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 37.85 43.85
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Tradesoap bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 500 1000 1500 2000 2500 Min: 2832 / Avg: 2880.8 / Max: 2929 Min: 3042 / Avg: 3104.6 / Max: 3160 Min: 3001 / Avg: 3050.5 / Max: 3122 Min: 2890 / Avg: 2974.13 / Max: 3097
Numpy Benchmark This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Score, More Is Better Numpy Benchmark bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 130 260 390 520 650 SE +/- 0.91, N = 3 SE +/- 1.90, N = 3 SE +/- 4.80, N = 8 SE +/- 3.83, N = 3 571.11 574.37 549.54 590.19
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.6 68.2 71.4 bhz-big1ecoclosed-salient-allselected-01 42.3 67.6 71.6 bhz-big1ecoclosed-garuda-allselected-01 44.8 67.4 73.1 bhz-big1closed-garuda-allselected-01 42.0 65.3 70.0 OpenBenchmarking.org Celsius, Fewer Is Better Numpy Benchmark CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Numpy Benchmark CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 36.3 42.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.3 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.2 43.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 20.0 OpenBenchmarking.org Watts, Fewer Is Better Numpy Benchmark GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 5566 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 5581 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 5667 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 966 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 57.9 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better Numpy Benchmark GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-salient-allselected-01 36.9 37.3 37.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 44.3 46.9 bhz-big1closed-garuda-allselected-01 41.9 42.3 42.9 OpenBenchmarking.org Celsius, Fewer Is Better Numpy Benchmark Drive Temperature (nvme0n1) Monitor 14 28 42 56 70
Result Confidence
OpenBenchmarking.org Score, More Is Better Numpy Benchmark bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 100 200 300 400 500 Min: 569.42 / Avg: 571.11 / Max: 572.52 Min: 571.34 / Avg: 574.37 / Max: 577.86 Min: 524.12 / Avg: 549.54 / Max: 562.08 Min: 583.81 / Avg: 590.19 / Max: 597.05
Sunflow Rendering System This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 0.1883 0.3766 0.5649 0.7532 0.9415 SE +/- 0.007, N = 6 SE +/- 0.008, N = 6 SE +/- 0.003, N = 5 SE +/- 0.006, N = 10 0.792 0.837 0.833 0.781 MIN: 0.71 / MAX: 1.08 MIN: 0.75 / MAX: 1.18 MIN: 0.76 / MAX: 1.12 MIN: 0.7 / MAX: 1.16
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 44.3 80.6 89.1 bhz-big1ecoclosed-salient-allselected-01 43.6 64.8 69.9 bhz-big1ecoclosed-garuda-allselected-01 47.4 66.4 71.1 bhz-big1closed-garuda-allselected-01 45.9 82.0 89.8 OpenBenchmarking.org Celsius, Fewer Is Better Sunflow Rendering System 0.07.2 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Sunflow Rendering System 0.07.2 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 37.1 42.0 bhz-big1ecoclosed-salient-allselected-01 35.0 37.1 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.3 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.5 31.0 OpenBenchmarking.org Watts, Fewer Is Better Sunflow Rendering System 0.07.2 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 451 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 464 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 457 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 78 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.2 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.2 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 31.0 31.0 OpenBenchmarking.org Celsius, Fewer Is Better Sunflow Rendering System 0.07.2 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better Sunflow Rendering System 0.07.2 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 37.85 38.85 43.85
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Sunflow Rendering System 0.07.2 Global Illumination + Image Synthesis bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 0.77 / Avg: 0.79 / Max: 0.81 Min: 0.82 / Avg: 0.84 / Max: 0.87 Min: 0.83 / Avg: 0.83 / Max: 0.84 Min: 0.76 / Avg: 0.78 / Max: 0.82
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.2 Video Input: Summer Nature 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 200 400 600 800 1000 SE +/- 1.24, N = 3 SE +/- 0.71, N = 3 SE +/- 0.76, N = 3 SE +/- 1.11, N = 3 770.38 736.54 725.69 777.59 MIN: 664.42 / MAX: 841.23 MIN: 642.29 / MAX: 805.93 MIN: 632.35 / MAX: 794.61 MIN: 651.31 / MAX: 850.48 1. (CC) gcc options: -pthread
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.0 62.8 73.0 bhz-big1ecoclosed-salient-allselected-01 38.3 57.8 65.1 bhz-big1ecoclosed-garuda-allselected-01 43.0 63.6 67.6 bhz-big1closed-garuda-allselected-01 42.0 62.0 73.1 OpenBenchmarking.org Celsius, Fewer Is Better dav1d 0.8.2 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better dav1d 0.8.2 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 36.6 41.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.5 45.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.4 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.2 7.0 OpenBenchmarking.org Watts, Fewer Is Better dav1d 0.8.2 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 891 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 901 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 885 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 154 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 59.0 60.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.6 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.3 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.2 32.0 OpenBenchmarking.org Celsius, Fewer Is Better dav1d 0.8.2 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better dav1d 0.8.2 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 36.85 43.85
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.2 Video Input: Summer Nature 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 140 280 420 560 700 Min: 767.91 / Avg: 770.38 / Max: 771.69 Min: 735.15 / Avg: 736.54 / Max: 737.48 Min: 724.35 / Avg: 725.69 / Max: 726.98 Min: 776.44 / Avg: 777.59 / Max: 779.81 1. (CC) gcc options: -pthread
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: ffs bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 0.497 0.994 1.491 1.988 2.485 SE +/- 0.01501, N = 15 SE +/- 0.01218, N = 15 SE +/- 0.01834, N = 15 SE +/- 0.00277, N = 5 2.16669 2.18779 2.08063 2.20886
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 43.5 61.2 65.8 bhz-big1ecoclosed-salient-allselected-01 41.1 58.2 65.5 bhz-big1ecoclosed-garuda-allselected-01 44.4 60.2 66.4 bhz-big1closed-garuda-allselected-01 43.5 61.1 65.5 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 37.0 45.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.7 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.4 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.5 7.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 521 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 517 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 509 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 91 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 57.0 57.8 58.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.8 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 39.9 40.1 40.9 bhz-big1ecoclosed-salient-allselected-01 38.9 39.6 40.9 bhz-big1ecoclosed-garuda-allselected-01 44.9 45.6 45.9 bhz-big1closed-garuda-allselected-01 45.9 45.8 45.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: ffs bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 2.06 / Avg: 2.17 / Max: 2.22 Min: 2.02 / Avg: 2.19 / Max: 2.22 Min: 2.01 / Avg: 2.08 / Max: 2.2 Min: 2.2 / Avg: 2.21 / Max: 2.21
DaCapo Benchmark This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 700 1400 2100 2800 3500 SE +/- 25.05, N = 9 SE +/- 23.64, N = 8 SE +/- 18.75, N = 8 SE +/- 17.01, N = 8 3150 3193 3070 3021
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.4 62.8 70.0 bhz-big1ecoclosed-salient-allselected-01 40.5 61.6 68.6 bhz-big1ecoclosed-garuda-allselected-01 43.5 62.4 69.0 bhz-big1closed-garuda-allselected-01 41.8 62.2 69.4 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.6 41.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.9 43.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.4 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.1 7.0 OpenBenchmarking.org Watts, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 305 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 305 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 300 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 50 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.4 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.4 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 36.85 43.85
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: Jython bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 600 1200 1800 2400 3000 Min: 3029 / Avg: 3150.44 / Max: 3258 Min: 3057 / Avg: 3192.63 / Max: 3261 Min: 3009 / Avg: 3070 / Max: 3159 Min: 2956 / Avg: 3021.25 / Max: 3084
dav1d Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.2 Video Input: Chimera 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 200 400 600 800 1000 SE +/- 1.35, N = 3 SE +/- 0.49, N = 3 SE +/- 0.82, N = 3 SE +/- 4.86, N = 3 761.77 749.93 744.08 781.61 MIN: 571.76 / MAX: 1040.63 MIN: 568.26 / MAX: 1009.97 MIN: 555.83 / MAX: 1019.21 MIN: 587.86 / MAX: 1044.1 1. (CC) gcc options: -pthread
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.4 59.5 74.6 bhz-big1ecoclosed-salient-allselected-01 38.4 63.5 67.5 bhz-big1ecoclosed-garuda-allselected-01 43.1 62.7 67.9 bhz-big1closed-garuda-allselected-01 40.5 63.7 75.1 OpenBenchmarking.org Celsius, Fewer Is Better dav1d 0.8.2 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better dav1d 0.8.2 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.1 41.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.1 45.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.3 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.2 19.0 OpenBenchmarking.org Watts, Fewer Is Better dav1d 0.8.2 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 9499 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 9601 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 9622 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 1602 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 57.0 58.2 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.9 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.2 59.0 bhz-big1closed-garuda-allselected-01 30.0 31.0 32.0 OpenBenchmarking.org Celsius, Fewer Is Better dav1d 0.8.2 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better dav1d 0.8.2 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 36.85 43.85
Result Confidence
OpenBenchmarking.org FPS, More Is Better dav1d 0.8.2 Video Input: Chimera 1080p bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 140 280 420 560 700 Min: 759.61 / Avg: 761.77 / Max: 764.25 Min: 749.27 / Avg: 749.93 / Max: 750.88 Min: 742.46 / Avg: 744.08 / Max: 745.15 Min: 773.28 / Avg: 781.61 / Max: 790.11 1. (CC) gcc options: -pthread
Timed GCC Compilation This test times how long it takes to build the GNU Compiler Collection (GCC). Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Timed GCC Compilation 9.3.0 Time To Compile bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 200 400 600 800 1000 SE +/- 0.88, N = 3 SE +/- 3.04, N = 3 SE +/- 1.97, N = 3 SE +/- 1.83, N = 3 782.50 804.27 806.03 777.28
CPU Fan Speed
Min Avg Max bhz-big1closed-salient-allselected-01 854 878 902 bhz-big1ecoclosed-salient-allselected-01 881 888 895 bhz-big1ecoclosed-garuda-allselected-01 885 893 901 bhz-big1closed-garuda-allselected-01 875 883 891 OpenBenchmarking.org RPM, Fewer Is Better Timed GCC Compilation 9.3.0 CPU Fan Speed Monitor 200 400 600 800 1000
CPU Temp
OpenBenchmarking.org Celsius, Fewer Is Better Timed GCC Compilation 9.3.0 CPU Temperature Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 Min: 46.75 / Avg: 83.79 / Max: 90.75 Min: 47.75 / Avg: 72 / Max: 81.38 Min: 50 / Avg: 72.61 / Max: 82.5 Min: 49.88 / Avg: 84.51 / Max: 90.75
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Timed GCC Compilation 9.3.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
OpenBenchmarking.org Watts, Fewer Is Better Timed GCC Compilation 9.3.0 GPU Power Consumption Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 9 18 27 36 45 Min: 35 / Avg: 35.97 / Max: 41 Min: 35 / Avg: 35.89 / Max: 45 Min: 35 / Avg: 36.21 / Max: 42 Min: 6 / Avg: 9.68 / Max: 43 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 28428 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 29127 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 38321 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 7591 Joules per run.
GPU Temp
OpenBenchmarking.org Celsius, Fewer Is Better Timed GCC Compilation 9.3.0 GPU Temperature Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 11 22 33 44 55 Min: 51 / Avg: 55.83 / Max: 57 Min: 51 / Avg: 56.47 / Max: 58 Min: 51 / Avg: 57.09 / Max: 58 Min: 31 / Avg: 37.69 / Max: 56
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better Timed GCC Compilation 9.3.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 10 20 30 40 50 Min: 40.85 / Avg: 43.13 / Max: 46.85 Min: 40.85 / Avg: 43.25 / Max: 47.85 Min: 45.85 / Avg: 47.14 / Max: 51.85 Min: 45.85 / Avg: 47.47 / Max: 51.85
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Timed GCC Compilation 9.3.0 Time To Compile bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 140 280 420 560 700 Min: 781.57 / Avg: 782.5 / Max: 784.27 Min: 799.43 / Avg: 804.27 / Max: 809.87 Min: 803.63 / Avg: 806.03 / Max: 809.93 Min: 774.04 / Avg: 777.27 / Max: 780.36
PyBench This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 160 320 480 640 800 SE +/- 5.51, N = 3 SE +/- 6.23, N = 3 SE +/- 5.17, N = 3 SE +/- 5.78, N = 3 741 716 738 734
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 43.3 69.9 77.6 bhz-big1ecoclosed-salient-allselected-01 41.9 69.9 74.3 bhz-big1ecoclosed-garuda-allselected-01 44.6 71.4 78.1 bhz-big1closed-garuda-allselected-01 43.4 69.0 74.0 OpenBenchmarking.org Celsius, Fewer Is Better PyBench 2018-02-16 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyBench 2018-02-16 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 37.0 44.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.0 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.1 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.7 24.0 OpenBenchmarking.org Watts, Fewer Is Better PyBench 2018-02-16 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 790 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 765 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 771 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 142 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.5 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.1 59.0 bhz-big1closed-garuda-allselected-01 30.0 31.0 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyBench 2018-02-16 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyBench 2018-02-16 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 37.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 130 260 390 520 650 Min: 731 / Avg: 741 / Max: 750 Min: 708 / Avg: 715.67 / Max: 728 Min: 728 / Avg: 738.33 / Max: 744 Min: 723 / Avg: 734.33 / Max: 742
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: modf bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 0.5859 1.1718 1.7577 2.3436 2.9295 SE +/- 0.02240, N = 8 SE +/- 0.01787, N = 5 SE +/- 0.02489, N = 5 SE +/- 0.00739, N = 5 2.56877 2.59434 2.51724 2.60387
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.0 57.5 62.6 bhz-big1ecoclosed-salient-allselected-01 39.0 54.3 60.6 bhz-big1ecoclosed-garuda-allselected-01 42.4 57.0 63.6 bhz-big1closed-garuda-allselected-01 40.4 54.3 60.5 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 37.1 42.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.9 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.4 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 19.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 519 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 523 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 509 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 89 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 59.0 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.8 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.3 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 36.85 43.85
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: modf bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 2.44 / Avg: 2.57 / Max: 2.61 Min: 2.52 / Avg: 2.59 / Max: 2.62 Min: 2.45 / Avg: 2.52 / Max: 2.61 Min: 2.57 / Avg: 2.6 / Max: 2.61
rav1e Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 0.5 1 1.5 2 2.5 SE +/- 0.007, N = 3 SE +/- 0.007, N = 3 SE +/- 0.016, N = 3 SE +/- 0.006, N = 3 2.156 2.149 2.185 2.222
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 44.9 67.4 72.4 bhz-big1ecoclosed-salient-allselected-01 41.9 67.2 71.9 bhz-big1ecoclosed-garuda-allselected-01 48.9 71.1 76.9 bhz-big1closed-garuda-allselected-01 47.9 70.2 75.9 OpenBenchmarking.org Celsius, Fewer Is Better rav1e 0.4 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better rav1e 0.4 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.2 40.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.5 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.1 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.1 7.0 OpenBenchmarking.org Watts, Fewer Is Better rav1e 0.4 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 1148 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1169 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1143 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 189 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.2 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.0 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.8 31.0 OpenBenchmarking.org Celsius, Fewer Is Better rav1e 0.4 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better rav1e 0.4 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 37.85 38.85 43.85
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Speed: 6 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 2.14 / Avg: 2.16 / Max: 2.16 Min: 2.14 / Avg: 2.15 / Max: 2.16 Min: 2.15 / Avg: 2.19 / Max: 2.2 Min: 2.21 / Avg: 2.22 / Max: 2.23
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 70 140 210 280 350 SE +/- 0.33, N = 3 SE +/- 1.33, N = 3 SE +/- 0.58, N = 3 SE +/- 1.20, N = 3 317 319 324 327
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.4 64.3 68.1 bhz-big1ecoclosed-salient-allselected-01 40.1 66.3 70.4 bhz-big1ecoclosed-garuda-allselected-01 42.9 67.3 71.6 bhz-big1closed-garuda-allselected-01 40.8 65.0 69.6 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 7.2 20.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.7 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.1 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.4 19.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 166 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 832 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 830 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 150 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.7 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.7 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.8 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 42.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 60 120 180 240 300 Min: 317 / Avg: 317.33 / Max: 318 Min: 316 / Avg: 318.67 / Max: 320 Min: 323 / Avg: 324 / Max: 325 Min: 325 / Avg: 326.67 / Max: 329
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 SE +/- 0.37, N = 3 SE +/- 0.09, N = 3 SE +/- 0.27, N = 3 SE +/- 0.22, N = 3 74.9 75.9 77.2 75.7
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.9 65.6 68.8 bhz-big1ecoclosed-salient-allselected-01 42.1 67.8 70.8 bhz-big1ecoclosed-garuda-allselected-01 43.6 68.1 71.3 bhz-big1closed-garuda-allselected-01 41.5 66.0 69.5 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 8.3 31.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.5 41.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.1 42.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 20.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 255 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1144 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1130 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 197 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.3 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.0 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 15 30 45 60 75 Min: 74.5 / Avg: 74.87 / Max: 75.6 Min: 75.7 / Avg: 75.87 / Max: 76 Min: 76.9 / Avg: 77.17 / Max: 77.7 Min: 75.3 / Avg: 75.73 / Max: 76
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 11.8 11.9 12.1 11.8
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.6 63.2 68.1 bhz-big1ecoclosed-salient-allselected-01 40.8 66.2 68.8 bhz-big1ecoclosed-garuda-allselected-01 43.5 66.3 69.1 bhz-big1closed-garuda-allselected-01 41.0 65.5 68.3 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 6.8 19.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.6 42.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.1 40.0 bhz-big1closed-garuda-allselected-01 6.0 7.0 20.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 262 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1439 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1406 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 269 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.5 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.6 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 57.9 58.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 42.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 4 8 12 16 20 Min: 11.7 / Avg: 11.8 / Max: 11.9 Min: 11.9 / Avg: 11.93 / Max: 12 Min: 12 / Avg: 12.07 / Max: 12.1 Min: 11.8 / Avg: 11.83 / Max: 11.9
GnuPG This test times how long it takes to encrypt a sample file using GnuPG. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better GnuPG 2.2.27 2.7GB Sample File Encryption bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 9 18 27 36 45 SE +/- 0.43, N = 3 SE +/- 0.11, N = 3 SE +/- 0.44, N = 3 SE +/- 0.15, N = 3 39.96 40.41 40.42 40.96 1. (CC) gcc options: -O2
CPU Fan Speed
Min Avg Max bhz-big1closed-salient-allselected-01 824 1987 2806 bhz-big1ecoclosed-salient-allselected-01 817 1876 2703 bhz-big1ecoclosed-garuda-allselected-01 834 2070 2878 bhz-big1closed-garuda-allselected-01 834 2071 2902 OpenBenchmarking.org RPM, Fewer Is Better GnuPG 2.2.27 CPU Fan Speed Monitor 700 1400 2100 2800 3500
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 42.1 69.9 71.9 bhz-big1ecoclosed-salient-allselected-01 42.8 70.7 73.1 bhz-big1ecoclosed-garuda-allselected-01 47.3 71.4 73.5 bhz-big1closed-garuda-allselected-01 46.9 70.6 72.9 OpenBenchmarking.org Celsius, Fewer Is Better GnuPG 2.2.27 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better GnuPG 2.2.27 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 34.0 35.0 38.0 bhz-big1ecoclosed-salient-allselected-01 34.0 35.1 40.0 bhz-big1ecoclosed-garuda-allselected-01 34.0 35.2 36.0 bhz-big1closed-garuda-allselected-01 35.0 35.8 38.0 OpenBenchmarking.org Watts, Fewer Is Better GnuPG 2.2.27 GPU Power Consumption Monitor 11 22 33 44 55 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 1539 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1569 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1559 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 1611 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 56.0 60.1 71.0 bhz-big1ecoclosed-salient-allselected-01 56.0 60.3 71.0 bhz-big1ecoclosed-garuda-allselected-01 56.0 60.4 71.0 bhz-big1closed-garuda-allselected-01 56.0 60.4 71.0 OpenBenchmarking.org Celsius, Fewer Is Better GnuPG 2.2.27 GPU Temperature Monitor 20 40 60 80 100
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 44.9 46.3 46.9 bhz-big1ecoclosed-salient-allselected-01 45.9 47.3 47.9 bhz-big1ecoclosed-garuda-allselected-01 50.9 51.7 51.9 bhz-big1closed-garuda-allselected-01 50.9 51.6 51.9 OpenBenchmarking.org Celsius, Fewer Is Better GnuPG 2.2.27 Drive Temperature (nvme0n1) Monitor 15 30 45 60 75
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better GnuPG 2.2.27 2.7GB Sample File Encryption bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 9 18 27 36 45 Min: 39.5 / Avg: 39.96 / Max: 40.83 Min: 40.28 / Avg: 40.41 / Max: 40.63 Min: 39.56 / Avg: 40.42 / Max: 41 Min: 40.72 / Avg: 40.96 / Max: 41.25 1. (CC) gcc options: -O2
Cython Benchmark Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Cython Benchmark 0.29.21 Test: N-Queens bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 4 8 12 16 20 SE +/- 0.08, N = 3 SE +/- 0.20, N = 4 SE +/- 0.15, N = 3 SE +/- 0.22, N = 3 16.94 17.03 17.31 17.23
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 35.5 64.7 70.1 bhz-big1ecoclosed-salient-allselected-01 42.9 67.9 72.0 bhz-big1ecoclosed-garuda-allselected-01 45.1 68.2 72.9 bhz-big1closed-garuda-allselected-01 43.0 66.1 71.5 OpenBenchmarking.org Celsius, Fewer Is Better Cython Benchmark 0.29.21 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Cython Benchmark 0.29.21 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 37.0 41.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.0 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.0 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.2 7.0 OpenBenchmarking.org Watts, Fewer Is Better Cython Benchmark 0.29.21 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 777 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 778 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 768 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 132 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.9 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.7 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 31.0 31.0 OpenBenchmarking.org Celsius, Fewer Is Better Cython Benchmark 0.29.21 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better Cython Benchmark 0.29.21 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 37.85 43.85
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Cython Benchmark 0.29.21 Test: N-Queens bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 4 8 12 16 20 Min: 16.79 / Avg: 16.94 / Max: 17.07 Min: 16.63 / Avg: 17.03 / Max: 17.56 Min: 17.01 / Avg: 17.31 / Max: 17.52 Min: 16.89 / Avg: 17.23 / Max: 17.65
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: pthread_once bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 0.4957 0.9914 1.4871 1.9828 2.4785 SE +/- 0.00205, N = 5 SE +/- 0.01629, N = 15 SE +/- 0.01069, N = 5 SE +/- 0.01986, N = 7 2.20315 2.15944 2.17633 2.16448
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 41.8 58.4 62.8 bhz-big1ecoclosed-salient-allselected-01 40.0 53.7 62.6 bhz-big1ecoclosed-garuda-allselected-01 43.6 58.4 63.6 bhz-big1closed-garuda-allselected-01 43.3 58.8 63.6 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 37.0 45.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.7 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.4 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.5 19.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 525 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 516 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 517 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 92 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.1 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.6 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.1 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.8 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-salient-allselected-01 37.9 38.6 38.9 bhz-big1ecoclosed-garuda-allselected-01 44.9 44.8 44.9 bhz-big1closed-garuda-allselected-01 44.9 45.5 45.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: pthread_once bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 2.2 / Avg: 2.2 / Max: 2.21 Min: 2.03 / Avg: 2.16 / Max: 2.2 Min: 2.15 / Avg: 2.18 / Max: 2.2 Min: 2.06 / Avg: 2.16 / Max: 2.2
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: exp bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 1.1077 2.2154 3.3231 4.4308 5.5385 SE +/- 0.06289, N = 3 SE +/- 0.05160, N = 3 SE +/- 0.03433, N = 3 SE +/- 0.05774, N = 3 4.88355 4.90297 4.83956 4.92309
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.5 58.8 61.6 bhz-big1ecoclosed-salient-allselected-01 37.4 60.2 66.8 bhz-big1ecoclosed-garuda-allselected-01 41.1 63.9 67.8 bhz-big1closed-garuda-allselected-01 39.8 64.0 66.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 36.7 44.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.4 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.4 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 7.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 1248 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1238 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1249 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 214 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 59.0 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.7 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.5 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.5 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-garuda-allselected-01 42.9 43.3 43.9 bhz-big1ecoclosed-salient-allselected-01 36.9 36.8 36.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.9 43.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: exp bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 4.76 / Avg: 4.88 / Max: 4.97 Min: 4.8 / Avg: 4.9 / Max: 4.97 Min: 4.77 / Avg: 4.84 / Max: 4.89 Min: 4.83 / Avg: 4.92 / Max: 5.03
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 8 16 24 32 40 SE +/- 0.07, N = 3 SE +/- 0.15, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 35.1 35.1 35.7 35.2
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.9 64.7 68.3 bhz-big1ecoclosed-salient-allselected-01 41.4 67.0 70.1 bhz-big1ecoclosed-garuda-allselected-01 43.4 68.4 71.3 bhz-big1closed-garuda-allselected-01 40.9 66.0 69.8 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 6.7 19.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.9 45.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.0 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.6 19.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 220 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1206 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1163 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 214 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.5 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.0 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 8 16 24 32 40 Min: 35 / Avg: 35.07 / Max: 35.2 Min: 34.9 / Avg: 35.1 / Max: 35.4 Min: 35.6 / Avg: 35.7 / Max: 35.8 Min: 35 / Avg: 35.17 / Max: 35.3
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 17.9 18.1 18.0 18.2
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.4 63.4 66.3 bhz-big1ecoclosed-salient-allselected-01 41.0 64.5 68.1 bhz-big1ecoclosed-garuda-allselected-01 43.5 65.8 68.9 bhz-big1closed-garuda-allselected-01 41.5 64.6 67.1 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 7.8 22.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.4 42.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.0 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.9 20.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 285 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1348 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1309 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 256 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.5 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.8 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 58.0 bhz-big1closed-garuda-allselected-01 30.0 30.8 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 5 10 15 20 25 Min: 17.9 / Avg: 17.9 / Max: 17.9 Min: 18 / Avg: 18.1 / Max: 18.2 Min: 18 / Avg: 18.03 / Max: 18.1 Min: 18.2 / Avg: 18.2 / Max: 18.2
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: go bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 40 80 120 160 200 SE +/- 1.20, N = 3 SE +/- 0.88, N = 3 SE +/- 0.33, N = 3 SE +/- 0.88, N = 3 182 183 184 185
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.8 66.3 69.9 bhz-big1ecoclosed-salient-allselected-01 41.0 67.6 70.6 bhz-big1ecoclosed-garuda-allselected-01 43.4 68.5 71.4 bhz-big1closed-garuda-allselected-01 41.0 66.5 70.4 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 7.2 20.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.4 42.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.1 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.4 18.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 259 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1321 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1298 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 233 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.5 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.9 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 58.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: go bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 30 60 90 120 150 Min: 180 / Avg: 181.67 / Max: 184 Min: 182 / Avg: 183.33 / Max: 185 Min: 184 / Avg: 184.33 / Max: 185 Min: 183 / Avg: 184.67 / Max: 186
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 30 60 90 120 150 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.00, N = 3 124 123 125 125
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.1 64.7 68.9 bhz-big1ecoclosed-salient-allselected-01 40.5 64.4 67.8 bhz-big1ecoclosed-garuda-allselected-01 44.1 66.9 70.3 bhz-big1closed-garuda-allselected-01 41.4 64.8 68.5 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 7.1 19.0 bhz-big1ecoclosed-salient-allselected-01 35.0 37.0 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.2 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.1 7.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 205 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1059 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1039 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 178 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.2 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.7 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 57.9 58.0 bhz-big1closed-garuda-allselected-01 30.0 30.8 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 42.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 Min: 123 / Avg: 123.67 / Max: 124 Min: 122 / Avg: 122.67 / Max: 123 Min: 125 / Avg: 125.33 / Max: 126 Min: 125 / Avg: 125 / Max: 125
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 SE +/- 0.32, N = 3 SE +/- 0.37, N = 3 SE +/- 0.09, N = 3 SE +/- 0.21, N = 3 80.1 80.9 81.2 81.3
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.5 66.4 69.8 bhz-big1ecoclosed-salient-allselected-01 41.4 67.8 70.8 bhz-big1ecoclosed-garuda-allselected-01 43.6 68.1 70.8 bhz-big1closed-garuda-allselected-01 41.0 66.3 69.4 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 6.8 19.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.7 42.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.0 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.7 19.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 225 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1222 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1201 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 227 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.2 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 16 32 48 64 80 Min: 79.5 / Avg: 80.13 / Max: 80.5 Min: 80.5 / Avg: 80.87 / Max: 81.6 Min: 81.1 / Avg: 81.23 / Max: 81.4 Min: 80.9 / Avg: 81.3 / Max: 81.6
Unigine Tropics This test calculates the average frame-rate within the Tropics / Islands demo for the Unigine engine. This engine is very demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Tropics 1.3 Resolution: 1920 x 1080 - Mode: Fullscreen bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1closed-garuda-allselected-01 90 180 270 360 450 SE +/- 1.43, N = 3 SE +/- 1.38, N = 3 SE +/- 1.36, N = 3 391.41 396.72 397.22
CPU Fan Speed
Min Avg Max bhz-big1closed-salient-allselected-01 825 962 1839 bhz-big1ecoclosed-salient-allselected-01 815 963 1701 bhz-big1closed-garuda-allselected-01 799 991 1890 OpenBenchmarking.org RPM, Fewer Is Better Unigine Tropics 1.3 CPU Fan Speed Monitor 500 1000 1500 2000 2500
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 43.4 64.0 66.9 bhz-big1ecoclosed-salient-allselected-01 43.8 64.3 68.1 bhz-big1closed-garuda-allselected-01 45.6 65.2 68.0 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Tropics 1.3 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Unigine Tropics 1.3 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 0.0833 0.1666 0.2499 0.3332 0.4165 0.25 0.37
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 94.7 175.0 bhz-big1ecoclosed-salient-allselected-01 35.0 96.4 176.0 bhz-big1closed-garuda-allselected-01 35.0 95.9 185.0 OpenBenchmarking.org Watts, Fewer Is Better Unigine Tropics 1.3 GPU Power Consumption Monitor 50 100 150 200 250 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 19606 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 19952 Joules per run. 3. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 19881 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 64.0 70.3 74.0 bhz-big1ecoclosed-salient-allselected-01 65.0 70.8 75.0 bhz-big1closed-garuda-allselected-01 64.0 70.6 75.0 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Tropics 1.3 GPU Temperature Monitor 20 40 60 80 100
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 38.9 39.7 39.9 bhz-big1ecoclosed-salient-allselected-01 39.9 40.8 40.9 bhz-big1closed-garuda-allselected-01 44.9 45.7 45.9 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Tropics 1.3 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Tropics 1.3 Resolution: 1920 x 1080 - Mode: Fullscreen bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1closed-garuda-allselected-01 70 140 210 280 350 Min: 389.43 / Avg: 391.41 / Max: 394.18 Min: 393.98 / Avg: 396.72 / Max: 398.39 Min: 395.24 / Avg: 397.22 / Max: 399.82
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sincos bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 SE +/- 0.02620, N = 3 SE +/- 0.01184, N = 3 SE +/- 0.04376, N = 3 SE +/- 0.01136, N = 3 10.07050 9.93365 9.98225 10.01520
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.3 60.0 66.9 bhz-big1ecoclosed-salient-allselected-01 39.4 57.0 65.5 bhz-big1ecoclosed-garuda-allselected-01 41.8 61.3 68.0 bhz-big1closed-garuda-allselected-01 40.6 61.6 67.4 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.7 42.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.7 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.2 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.8 31.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 880 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 893 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 881 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 167 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.9 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.8 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.5 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 37.85 36.85 43.85
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sincos bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 10.03 / Avg: 10.07 / Max: 10.12 Min: 9.92 / Avg: 9.93 / Max: 9.96 Min: 9.9 / Avg: 9.98 / Max: 10.04 Min: 9.99 / Avg: 10.02 / Max: 10.03
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sqrt bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 0.5858 1.1716 1.7574 2.3432 2.929 SE +/- 0.02380, N = 5 SE +/- 0.02525, N = 6 SE +/- 0.01271, N = 5 SE +/- 0.00825, N = 5 2.57900 2.56865 2.59420 2.60352
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.6 56.4 62.0 bhz-big1ecoclosed-salient-allselected-01 38.4 53.9 59.5 bhz-big1ecoclosed-garuda-allselected-01 43.6 53.9 58.1 bhz-big1closed-garuda-allselected-01 41.3 54.3 61.4 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 36.8 42.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.8 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.4 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.2 7.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 516 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 515 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 517 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 88 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.5 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.9 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.4 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.7 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 38.85 37.85 44.85
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sqrt bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 2.49 / Avg: 2.58 / Max: 2.61 Min: 2.48 / Avg: 2.57 / Max: 2.61 Min: 2.54 / Avg: 2.59 / Max: 2.61 Min: 2.57 / Avg: 2.6 / Max: 2.62
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: asinh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 SE +/- 0.02937, N = 5 SE +/- 0.00312, N = 5 SE +/- 0.01767, N = 5 SE +/- 0.01635, N = 5 6.28972 6.23810 6.21094 6.28569
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.6 61.2 66.0 bhz-big1ecoclosed-salient-allselected-01 38.6 55.4 59.6 bhz-big1ecoclosed-garuda-allselected-01 41.6 59.5 65.5 bhz-big1closed-garuda-allselected-01 41.1 60.1 65.8 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 37.0 43.0 bhz-big1ecoclosed-salient-allselected-01 35.0 37.1 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.7 41.0 bhz-big1closed-garuda-allselected-01 6.0 7.7 30.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 518 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 527 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 522 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 110 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.7 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.6 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.7 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-salient-allselected-01 36.9 37.2 37.9 bhz-big1ecoclosed-garuda-allselected-01 44.9 44.8 44.9 bhz-big1closed-garuda-allselected-01 43.9 43.8 43.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: asinh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 6.2 / Avg: 6.29 / Max: 6.38 Min: 6.23 / Avg: 6.24 / Max: 6.25 Min: 6.17 / Avg: 6.21 / Max: 6.26 Min: 6.23 / Avg: 6.29 / Max: 6.33
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 SE +/- 0.36, N = 3 SE +/- 0.48, N = 3 SE +/- 0.12, N = 3 SE +/- 0.31, N = 3 81.7 82.7 82.7 82.6
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.3 67.3 70.3 bhz-big1ecoclosed-salient-allselected-01 40.9 67.6 71.3 bhz-big1ecoclosed-garuda-allselected-01 42.9 69.1 71.9 bhz-big1closed-garuda-allselected-01 41.1 67.1 70.5 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 6.9 19.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.5 44.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.1 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.7 23.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 229 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1230 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1190 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 223 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.5 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.9 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.8 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 16 32 48 64 80 Min: 81 / Avg: 81.7 / Max: 82.2 Min: 81.7 / Avg: 82.67 / Max: 83.2 Min: 82.5 / Avg: 82.73 / Max: 82.9 Min: 82 / Avg: 82.6 / Max: 83
Unigine Sanctuary This test calculates the average frame-rate within the Sanctuary demo for the Unigine engine. This engine is very demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Sanctuary 2.3 Resolution: 1920 x 1080 - Mode: Fullscreen bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1closed-garuda-allselected-01 200 400 600 800 1000 SE +/- 3.42, N = 3 SE +/- 4.29, N = 3 SE +/- 1.02, N = 3 772.85 773.94 782.09
CPU Fan Speed
Min Avg Max bhz-big1closed-salient-allselected-01 690 1525 2232 bhz-big1ecoclosed-salient-allselected-01 880 1557 2171 bhz-big1closed-garuda-allselected-01 695 1580 2235 OpenBenchmarking.org RPM, Fewer Is Better Unigine Sanctuary 2.3 CPU Fan Speed Monitor 600 1200 1800 2400 3000
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 36.8 61.5 64.8 bhz-big1ecoclosed-salient-allselected-01 39.8 63.9 66.6 bhz-big1closed-garuda-allselected-01 39.6 63.7 66.9 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Sanctuary 2.3 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Unigine Sanctuary 2.3 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 0.0833 0.1666 0.2499 0.3332 0.4165 0.25 0.37
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 156.1 219.0 bhz-big1ecoclosed-salient-allselected-01 35.0 156.6 219.0 bhz-big1closed-garuda-allselected-01 35.0 157.0 222.0 OpenBenchmarking.org Watts, Fewer Is Better Unigine Sanctuary 2.3 GPU Power Consumption Monitor 60 120 180 240 300 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 28782 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 28924 Joules per run. 3. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 29047 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 74.2 81.0 bhz-big1ecoclosed-salient-allselected-01 53.0 74.1 81.0 bhz-big1closed-garuda-allselected-01 57.0 73.7 81.0 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Sanctuary 2.3 GPU Temperature Monitor 20 40 60 80 100
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 36.9 37.2 38.9 bhz-big1ecoclosed-salient-allselected-01 37.9 38.4 39.9 bhz-big1closed-garuda-allselected-01 42.9 43.1 43.9 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Sanctuary 2.3 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Sanctuary 2.3 Resolution: 1920 x 1080 - Mode: Fullscreen bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1closed-garuda-allselected-01 140 280 420 560 700 Min: 766.03 / Avg: 772.85 / Max: 776.57 Min: 767.92 / Avg: 773.94 / Max: 782.24 Min: 780.5 / Avg: 782.09 / Max: 783.98
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: ffsll bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 0.4898 0.9796 1.4694 1.9592 2.449 SE +/- 0.02061, N = 15 SE +/- 0.01893, N = 15 SE +/- 0.01592, N = 15 SE +/- 0.02079, N = 15 2.17677 2.16887 2.15466 2.15139
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 47.5 62.6 67.4 bhz-big1ecoclosed-salient-allselected-01 45.4 58.5 66.0 bhz-big1ecoclosed-garuda-allselected-01 50.0 62.6 67.3 bhz-big1closed-garuda-allselected-01 49.0 62.8 68.4 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.8 44.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.9 47.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.3 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 19.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 14 28 42 56 70 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 517 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 518 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 510 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 89 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 56.0 56.9 58.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.5 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 57.7 58.0 bhz-big1closed-garuda-allselected-01 31.0 31.7 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 40.9 41.6 41.9 bhz-big1ecoclosed-salient-allselected-01 40.9 41.4 41.9 bhz-big1ecoclosed-garuda-allselected-01 45.9 45.9 45.9 bhz-big1closed-garuda-allselected-01 45.9 45.9 45.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: ffsll bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 1.99 / Avg: 2.18 / Max: 2.23 Min: 1.99 / Avg: 2.17 / Max: 2.23 Min: 2.02 / Avg: 2.15 / Max: 2.22 Min: 2.02 / Avg: 2.15 / Max: 2.22
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 50 100 150 200 250 SE +/- 0.00, N = 3 SE +/- 0.33, N = 3 SE +/- 0.67, N = 3 SE +/- 0.00, N = 3 226 227 228 226
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.0 63.9 67.1 bhz-big1ecoclosed-salient-allselected-01 40.1 66.3 69.1 bhz-big1ecoclosed-garuda-allselected-01 42.4 66.9 69.9 bhz-big1closed-garuda-allselected-01 41.0 65.5 67.6 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 7.6 21.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.4 44.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.1 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 7.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 407 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1688 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1803 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 284 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.1 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.1 59.0 bhz-big1closed-garuda-allselected-01 30.0 31.0 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 40 80 120 160 200 Min: 226 / Avg: 226 / Max: 226 Min: 227 / Avg: 227.33 / Max: 228 Min: 227 / Avg: 228.33 / Max: 229 Min: 226 / Avg: 226 / Max: 226
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 80 160 240 320 400 SE +/- 0.33, N = 3 SE +/- 1.33, N = 3 SE +/- 1.00, N = 3 SE +/- 1.33, N = 3 351 354 351 352
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 37.4 67.7 70.4 bhz-big1ecoclosed-salient-allselected-01 38.8 68.7 71.3 bhz-big1ecoclosed-garuda-allselected-01 42.6 70.6 73.0 bhz-big1closed-garuda-allselected-01 40.0 68.9 70.9 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 7.4 22.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.4 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.2 46.0 bhz-big1closed-garuda-allselected-01 6.0 6.2 20.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 468 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 2341 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 2314 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 397 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.3 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.6 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 42.85
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 60 120 180 240 300 Min: 350 / Avg: 350.67 / Max: 351 Min: 351 / Avg: 353.67 / Max: 355 Min: 349 / Avg: 351 / Max: 352 Min: 351 / Avg: 352.33 / Max: 355
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: log2 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 1.0273 2.0546 3.0819 4.1092 5.1365 SE +/- 0.01279, N = 5 SE +/- 0.00472, N = 5 SE +/- 0.01162, N = 5 SE +/- 0.01259, N = 5 4.56566 4.52926 4.54205 4.54718
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 39.4 61.3 66.1 bhz-big1ecoclosed-salient-allselected-01 38.8 59.3 65.6 bhz-big1ecoclosed-garuda-allselected-01 42.6 62.2 66.8 bhz-big1closed-garuda-allselected-01 41.3 59.7 67.3 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 36.8 41.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.8 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.5 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.7 20.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 522 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 516 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 511 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 96 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 59.0 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.7 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.6 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.3 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 36.85 36.85 43.85
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: log2 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 Min: 4.51 / Avg: 4.57 / Max: 4.58 Min: 4.51 / Avg: 4.53 / Max: 4.54 Min: 4.51 / Avg: 4.54 / Max: 4.56 Min: 4.52 / Avg: 4.55 / Max: 4.57
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: tanh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 SE +/- 0.01285, N = 5 SE +/- 0.00193, N = 5 SE +/- 0.01377, N = 5 SE +/- 0.01624, N = 5 8.57318 8.53866 8.60093 8.57914
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 41.4 58.8 63.8 bhz-big1ecoclosed-salient-allselected-01 39.1 52.7 55.5 bhz-big1ecoclosed-garuda-allselected-01 41.6 59.0 65.3 bhz-big1closed-garuda-allselected-01 42.3 58.2 64.8 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.6 41.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.9 44.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.5 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.4 19.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 520 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 524 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 512 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 89 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.2 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.2 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.6 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 38.85 37.85 44.85
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: tanh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 8.54 / Avg: 8.57 / Max: 8.61 Min: 8.54 / Avg: 8.54 / Max: 8.55 Min: 8.58 / Avg: 8.6 / Max: 8.65 Min: 8.54 / Avg: 8.58 / Max: 8.63
PyPerformance PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 SE +/- 0.58, N = 3 SE +/- 0.70, N = 3 SE +/- 0.81, N = 3 SE +/- 0.43, N = 3 94.6 94.7 94.1 94.4
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 38.8 69.0 71.8 bhz-big1ecoclosed-salient-allselected-01 40.3 69.6 72.9 bhz-big1ecoclosed-garuda-allselected-01 43.0 71.7 75.9 bhz-big1closed-garuda-allselected-01 40.5 69.0 72.1 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better PyPerformance 1.0.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 7.5 19.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.5 42.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.1 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.5 19.0 OpenBenchmarking.org Watts, Fewer Is Better PyPerformance 1.0.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 281 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1376 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1322 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 241 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.5 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 57.8 58.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 58.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-garuda-allselected-01 42.9 43.4 43.9 bhz-big1ecoclosed-salient-allselected-01 36.9 36.8 36.9 bhz-big1closed-garuda-allselected-01 41.9 41.9 41.9 OpenBenchmarking.org Celsius, Fewer Is Better PyPerformance 1.0.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 Min: 93.7 / Avg: 94.63 / Max: 95.7 Min: 93.9 / Avg: 94.7 / Max: 96.1 Min: 92.6 / Avg: 94.1 / Max: 95.4 Min: 94 / Avg: 94.43 / Max: 95.3
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sinh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 SE +/- 0.02004, N = 5 SE +/- 0.01938, N = 5 SE +/- 0.03448, N = 5 SE +/- 0.04099, N = 5 6.68825 6.64719 6.66706 6.66986
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.3 62.7 68.3 bhz-big1ecoclosed-salient-allselected-01 38.4 57.6 61.9 bhz-big1ecoclosed-garuda-allselected-01 43.4 62.1 68.1 bhz-big1closed-garuda-allselected-01 41.4 61.6 68.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.6 41.0 bhz-big1ecoclosed-salient-allselected-01 36.0 36.9 44.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 36.0 36.0 bhz-big1closed-garuda-allselected-01 6.0 6.1 7.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 520 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 516 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 511 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 87 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.9 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.7 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.7 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.5 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 36.9 37.4 37.9 bhz-big1ecoclosed-salient-allselected-01 36.9 36.9 36.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.8 43.9 bhz-big1closed-garuda-allselected-01 43.9 43.8 43.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sinh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 6.62 / Avg: 6.69 / Max: 6.73 Min: 6.57 / Avg: 6.65 / Max: 6.67 Min: 6.55 / Avg: 6.67 / Max: 6.74 Min: 6.53 / Avg: 6.67 / Max: 6.75
Scikit-Learn Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 89.36 89.46 89.55 89.09
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.4 56.8 60.3 bhz-big1ecoclosed-salient-allselected-01 40.5 57.1 63.6 bhz-big1ecoclosed-garuda-allselected-01 39.3 57.0 62.3 bhz-big1closed-garuda-allselected-01 36.9 59.3 64.0 OpenBenchmarking.org Celsius, Fewer Is Better Scikit-Learn 0.22.1 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Scikit-Learn 0.22.1 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 6.0 6.5 19.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.3 41.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.3 40.0 bhz-big1closed-garuda-allselected-01 6.0 6.4 20.0 OpenBenchmarking.org Watts, Fewer Is Better Scikit-Learn 0.22.1 GPU Power Consumption Monitor 11 22 33 44 55 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 601 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 3376 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 3387 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 590 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 31.0 31.0 32.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.0 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.1 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better Scikit-Learn 0.22.1 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
OpenBenchmarking.org Celsius, Fewer Is Better Scikit-Learn 0.22.1 Drive Temperature (nvme0n1) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 10 20 30 40 50 35.85 36.85 43.85
Result Confidence
OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 Min: 89.36 / Avg: 89.36 / Max: 89.37 Min: 89.33 / Avg: 89.46 / Max: 89.67 Min: 89.5 / Avg: 89.55 / Max: 89.58 Min: 88.99 / Avg: 89.09 / Max: 89.24
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: atanh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 2 4 6 8 10 SE +/- 0.00367, N = 5 SE +/- 0.00131, N = 5 SE +/- 0.02502, N = 5 SE +/- 0.01660, N = 5 8.07238 8.06493 8.09505 8.08113
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.6 60.3 66.0 bhz-big1ecoclosed-salient-allselected-01 38.3 59.4 63.1 bhz-big1ecoclosed-garuda-allselected-01 42.4 58.5 65.3 bhz-big1closed-garuda-allselected-01 41.1 57.1 64.3 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.9 41.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.1 43.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.0 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.2 7.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 525 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 519 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 512 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 87 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.9 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.7 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.6 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-garuda-allselected-01 43.9 44.4 44.9 bhz-big1ecoclosed-salient-allselected-01 36.9 36.9 36.9 bhz-big1closed-garuda-allselected-01 43.9 43.8 43.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: atanh bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 3 6 9 12 15 Min: 8.06 / Avg: 8.07 / Max: 8.08 Min: 8.06 / Avg: 8.06 / Max: 8.07 Min: 8.04 / Avg: 8.1 / Max: 8.16 Min: 8.05 / Avg: 8.08 / Max: 8.14
Unigine Heaven 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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Heaven 4.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 60 120 180 240 300 SE +/- 0.19, N = 3 SE +/- 0.31, N = 3 SE +/- 0.23, N = 3 SE +/- 0.68, N = 3 268.00 267.79 267.84 268.74
CPU Fan Speed
Min Avg Max bhz-big1closed-salient-allselected-01 848 2402 2844 bhz-big1ecoclosed-salient-allselected-01 864 2349 2750 bhz-big1ecoclosed-garuda-allselected-01 696 2277 2921 bhz-big1closed-garuda-allselected-01 876 2478 2943 OpenBenchmarking.org RPM, Fewer Is Better Unigine Heaven 4.0 CPU Fan Speed Monitor 700 1400 2100 2800 3500
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 43.4 62.3 67.9 bhz-big1ecoclosed-salient-allselected-01 44.1 63.8 68.8 bhz-big1ecoclosed-garuda-allselected-01 46.6 62.5 69.4 bhz-big1closed-garuda-allselected-01 45.8 64.9 69.8 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Heaven 4.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Unigine Heaven 4.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 34.0 196.8 236.0 bhz-big1ecoclosed-salient-allselected-01 35.0 197.5 242.0 bhz-big1ecoclosed-garuda-allselected-01 34.0 197.0 236.0 bhz-big1closed-garuda-allselected-01 35.0 197.2 235.0 OpenBenchmarking.org Watts, Fewer Is Better Unigine Heaven 4.0 GPU Power Consumption Monitor 60 120 180 240 300 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 52808 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 52924 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 52917 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 52846 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 65.0 81.3 87.0 bhz-big1ecoclosed-salient-allselected-01 65.0 80.9 86.0 bhz-big1ecoclosed-garuda-allselected-01 59.0 79.3 86.0 bhz-big1closed-garuda-allselected-01 65.0 81.8 87.0 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Heaven 4.0 GPU Temperature Monitor 20 40 60 80 100
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 39.9 41.2 42.9 bhz-big1ecoclosed-salient-allselected-01 40.9 42.0 43.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 45.3 47.9 bhz-big1closed-garuda-allselected-01 45.9 47.3 48.9 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Heaven 4.0 Drive Temperature (nvme0n1) Monitor 14 28 42 56 70
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Heaven 4.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGL bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 50 100 150 200 250 Min: 267.76 / Avg: 268 / Max: 268.39 Min: 267.38 / Avg: 267.79 / Max: 268.41 Min: 267.39 / Avg: 267.84 / Max: 268.18 Min: 267.5 / Avg: 268.74 / Max: 269.83
Unigine Superposition 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.
Result
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Superposition 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGL bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 12 24 36 48 60 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.06, N = 3 55.6 55.6 55.5 55.5 MAX: 66.8 MAX: 66.7 MAX: 66.7 MAX: 66.7
CPU Fan Speed
Min Avg Max bhz-big1closed-salient-allselected-01 2096 2670 2899 bhz-big1ecoclosed-salient-allselected-01 1996 2612 2825 bhz-big1ecoclosed-garuda-allselected-01 2119 2742 2998 bhz-big1closed-garuda-allselected-01 2177 2749 2952 OpenBenchmarking.org RPM, Fewer Is Better Unigine Superposition 1.0 CPU Fan Speed Monitor 700 1400 2100 2800 3500
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 43.5 48.7 71.8 bhz-big1ecoclosed-salient-allselected-01 43.9 48.7 73.1 bhz-big1ecoclosed-garuda-allselected-01 47.8 54.9 74.4 bhz-big1closed-garuda-allselected-01 49.5 56.0 73.9 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Superposition 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Unigine Superposition 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 34.0 204.9 260.0 bhz-big1ecoclosed-salient-allselected-01 35.0 204.5 259.0 bhz-big1ecoclosed-garuda-allselected-01 34.0 203.2 259.0 bhz-big1closed-garuda-allselected-01 35.0 206.0 259.0 OpenBenchmarking.org Watts, Fewer Is Better Unigine Superposition 1.0 GPU Power Consumption Monitor 70 140 210 280 350 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 39134 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 39066 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 38873 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 39205 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 66.0 83.8 88.0 bhz-big1ecoclosed-salient-allselected-01 66.0 83.4 87.0 bhz-big1ecoclosed-garuda-allselected-01 66.0 83.8 88.0 bhz-big1closed-garuda-allselected-01 67.0 84.2 88.0 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Superposition 1.0 GPU Temperature Monitor 20 40 60 80 100
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 43.9 44.6 44.9 bhz-big1ecoclosed-salient-allselected-01 43.9 45.3 45.9 bhz-big1ecoclosed-garuda-allselected-01 47.9 49.9 50.9 bhz-big1closed-garuda-allselected-01 48.9 50.3 50.9 OpenBenchmarking.org Celsius, Fewer Is Better Unigine Superposition 1.0 Drive Temperature (nvme0n1) Monitor 14 28 42 56 70
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Unigine Superposition 1.0 Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Ultra - Renderer: OpenGL bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 11 22 33 44 55 Min: 55.5 / Avg: 55.6 / Max: 55.7 Min: 55.5 / Avg: 55.6 / Max: 55.7 Min: 55.4 / Avg: 55.47 / Max: 55.6 Min: 55.4 / Avg: 55.5 / Max: 55.6
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: cos bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 35.28 35.28 35.28 35.34
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.1 59.0 62.4 bhz-big1ecoclosed-salient-allselected-01 38.6 56.1 58.9 bhz-big1ecoclosed-garuda-allselected-01 41.9 55.3 57.9 bhz-big1closed-garuda-allselected-01 40.4 57.1 62.4 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.5 41.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.8 46.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.3 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.2 7.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 876 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 883 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 870 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 148 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.6 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.6 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-garuda-allselected-01 43.9 44.7 44.9 bhz-big1ecoclosed-salient-allselected-01 37.9 37.9 37.9 bhz-big1ecoclosed-garuda-allselected-01 44.9 44.8 44.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: cos bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 8 16 24 32 40 Min: 35.27 / Avg: 35.28 / Max: 35.29 Min: 35.28 / Avg: 35.28 / Max: 35.29 Min: 35.27 / Avg: 35.28 / Max: 35.31 Min: 35.3 / Avg: 35.34 / Max: 35.42
glibc bench The GNU C Library project provides the core libraries for the GNU system and GNU/Linux systems, as well as many other systems that use Linux as the kernel. These libraries provide critical APIs including ISO C11, POSIX.1-2008, BSD, OS-specific APIs and more.
Learn more via the OpenBenchmarking.org test page.
Result
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sin bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 35.13 35.13 35.13 35.14
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.0 60.2 63.9 bhz-big1ecoclosed-salient-allselected-01 38.6 57.8 63.0 bhz-big1ecoclosed-garuda-allselected-01 41.8 55.4 58.1 bhz-big1closed-garuda-allselected-01 41.4 54.4 57.4 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better glibc bench 1.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 36.0 36.5 41.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.5 42.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.3 37.0 bhz-big1closed-garuda-allselected-01 6.0 6.7 20.0 OpenBenchmarking.org Watts, Fewer Is Better glibc bench 1.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 888 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 887 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 870 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 160 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-salient-allselected-01 58.0 58.8 59.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 58.6 59.0 bhz-big1closed-garuda-allselected-01 31.0 31.8 32.0 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 37.9 38.2 38.9 bhz-big1ecoclosed-salient-allselected-01 37.9 37.9 37.9 bhz-big1ecoclosed-garuda-allselected-01 44.9 44.8 44.9 bhz-big1closed-garuda-allselected-01 44.9 44.8 44.9 OpenBenchmarking.org Celsius, Fewer Is Better glibc bench 1.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org nanoseconds, Fewer Is Better glibc bench 1.0 Benchmark: sin bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 8 16 24 32 40 Min: 35.12 / Avg: 35.13 / Max: 35.15 Min: 35.13 / Avg: 35.13 / Max: 35.13 Min: 35.13 / Avg: 35.13 / Max: 35.14 Min: 35.12 / Avg: 35.14 / Max: 35.16
Dota 2 Min Avg Max bhz-big1ecoclosed-salient-dota2-01 34.9 35.1 35.9 bhz-big1ecoclosed-garuda-allselected-01 42.9 42.9 42.9 bhz-big1closed-garuda-allselected-01 41.9 42.0 42.9 OpenBenchmarking.org Celsius, Fewer Is Better Dota 2 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 54.0 58.7 62.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 59.6 63.0 bhz-big1closed-garuda-allselected-01 30.0 31.9 57.0 OpenBenchmarking.org Celsius, Fewer Is Better Dota 2 GPU Temperature Monitor 20 40 60 80 100
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 35.0 45.6 122.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 48.0 154.0 bhz-big1closed-garuda-allselected-01 6.0 7.8 132.0 OpenBenchmarking.org Watts, Fewer Is Better Dota 2 GPU Power Consumption Monitor 40 80 120 160 200
OpenBenchmarking.org Percent, Fewer Is Better Dota 2 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.13 2.00
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 32.4 59.0 67.1 bhz-big1ecoclosed-garuda-allselected-01 43.9 62.4 69.9 bhz-big1closed-garuda-allselected-01 32.9 34.5 69.1 OpenBenchmarking.org Celsius, Fewer Is Better Dota 2 CPU Temperature Monitor 20 40 60 80 100
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 704 900 1629 bhz-big1ecoclosed-garuda-allselected-01 721 1025 1544 OpenBenchmarking.org RPM, Fewer Is Better Dota 2 CPU Fan Speed Monitor 400 800 1200 1600 2000
Result
OpenBenchmarking.org Frames Per Second, More Is Better Dota 2 Resolution: 1920 x 1080 - Renderer: Vulkan bhz-big1ecoclosed-salient-dota2-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 30 60 90 120 150 SE +/- 0.93, N = 3 SE +/- 0.65, N = 3 SE +/- 44.00, N = 3 122.8 133.5 53.3 MIN: 121.1 / MAX: 124.3 MIN: 132.5 / MAX: 134.7 MIN: 9.3 / MAX: 141.3
CPU Fan Speed
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 704 900 1629 bhz-big1ecoclosed-garuda-allselected-01 721 1025 1544 OpenBenchmarking.org RPM, Fewer Is Better Dota 2 CPU Fan Speed Monitor 400 800 1200 1600 2000
CPU Temp
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 32.4 59.0 67.1 bhz-big1ecoclosed-garuda-allselected-01 43.9 62.4 69.9 bhz-big1closed-garuda-allselected-01 32.9 34.5 69.1 OpenBenchmarking.org Celsius, Fewer Is Better Dota 2 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Dota 2 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.13 2.00
GPU Power Consumption
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 35.0 45.6 122.0 bhz-big1ecoclosed-garuda-allselected-01 35.0 48.0 154.0 bhz-big1closed-garuda-allselected-01 6.0 7.8 132.0 OpenBenchmarking.org Watts, Fewer Is Better Dota 2 GPU Power Consumption Monitor 40 80 120 160 200 1. bhz-big1ecoclosed-salient-dota2-01: Approximate power consumption of 1489 Joules per run. 2. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1664 Joules per run. 3. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 43669 Joules per run.
GPU Temp
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 54.0 58.7 62.0 bhz-big1ecoclosed-garuda-allselected-01 58.0 59.6 63.0 bhz-big1closed-garuda-allselected-01 30.0 31.9 57.0 OpenBenchmarking.org Celsius, Fewer Is Better Dota 2 GPU Temperature Monitor 20 40 60 80 100
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-salient-dota2-01 34.9 35.1 35.9 bhz-big1ecoclosed-garuda-allselected-01 42.9 42.9 42.9 bhz-big1closed-garuda-allselected-01 41.9 42.0 42.9 OpenBenchmarking.org Celsius, Fewer Is Better Dota 2 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org Frames Per Second, More Is Better Dota 2 Resolution: 1920 x 1080 - Renderer: Vulkan bhz-big1ecoclosed-salient-dota2-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 30 60 90 120 150 Min: 121.1 / Avg: 122.77 / Max: 124.3 Min: 132.5 / Avg: 133.47 / Max: 134.7 Min: 9.3 / Avg: 53.3 / Max: 141.3
Drive Temperature (nvme0n1) Monitor OpenBenchmarking.org Celsius Drive Temperature (nvme0n1) Monitor Phoronix Test Suite System Monitoring bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 10 20 30 40 50 Min: 35.85 / Avg: 38.62 / Max: 46.85 Min: 36.85 / Avg: 39.56 / Max: 47.85 Min: 42.85 / Avg: 45.22 / Max: 51.85 Min: 41.85 / Avg: 43.13 / Max: 51.85
GPU Temperature Monitor OpenBenchmarking.org Celsius GPU Temperature Monitor Phoronix Test Suite System Monitoring bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 Min: 30 / Avg: 54.45 / Max: 88 Min: 51 / Avg: 61.57 / Max: 87 Min: 51 / Avg: 60.41 / Max: 88 Min: 30 / Avg: 36.53 / Max: 88
GPU Power Consumption Monitor OpenBenchmarking.org Watts GPU Power Consumption Monitor Phoronix Test Suite System Monitoring bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 50 100 150 200 250 Min: 5 / Avg: 47.2 / Max: 260 Min: 34 / Avg: 60.95 / Max: 259 Min: 34 / Avg: 53.97 / Max: 259 Min: 6 / Avg: 21.94 / Max: 259
CPU Usage (Summary) Monitor OpenBenchmarking.org Percent CPU Usage (Summary) Monitor Phoronix Test Suite System Monitoring bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
CPU Temperature Monitor OpenBenchmarking.org Celsius CPU Temperature Monitor Phoronix Test Suite System Monitoring bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 20 40 60 80 100 Min: 35.5 / Avg: 65.43 / Max: 90.75 Min: 37 / Avg: 63.33 / Max: 81.38 Min: 39.25 / Avg: 65.65 / Max: 82.5 Min: 32.88 / Avg: 48.35 / Max: 90.75
CPU Fan Speed Monitor OpenBenchmarking.org RPM CPU Fan Speed Monitor Phoronix Test Suite System Monitoring bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 500 1000 1500 2000 2500 Min: 690 / Avg: 1858.08 / Max: 2907 Min: 815 / Avg: 1808.69 / Max: 2825 Min: 696 / Avg: 2245.37 / Max: 2998 Min: 695 / Avg: 1912.41 / Max: 2996
DaCapo Benchmark Min Avg Max bhz-big1closed-salient-allselected-01 36.9 37.7 37.9 bhz-big1ecoclosed-salient-allselected-01 36.9 36.9 36.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.9 43.9 bhz-big1closed-garuda-allselected-01 42.9 42.9 42.9 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.5 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Temperature Monitor 16 32 48 64 80
Min Avg Max bhz-big1closed-salient-allselected-01 34.0 36.5 44.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.3 46.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.5 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.6 19.0 OpenBenchmarking.org Watts, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Power Consumption Monitor 12 24 36 48 60
OpenBenchmarking.org Percent, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
Min Avg Max bhz-big1closed-salient-allselected-01 38.9 61.5 68.0 bhz-big1ecoclosed-salient-allselected-01 41.3 61.7 67.9 bhz-big1ecoclosed-garuda-allselected-01 43.6 63.2 68.6 bhz-big1closed-garuda-allselected-01 41.1 62.6 68.3 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Temperature Monitor 20 40 60 80 100
Result
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 600 1200 1800 2400 3000 SE +/- 23.21, N = 20 SE +/- 21.96, N = 20 SE +/- 32.66, N = 20 SE +/- 27.39, N = 20 2882 2911 2204 2141
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 38.9 61.5 68.0 bhz-big1ecoclosed-salient-allselected-01 41.3 61.7 67.9 bhz-big1ecoclosed-garuda-allselected-01 43.6 63.2 68.6 bhz-big1closed-garuda-allselected-01 41.1 62.6 68.3 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better DaCapo Benchmark 9.12-MR1 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 34.0 36.5 44.0 bhz-big1ecoclosed-salient-allselected-01 36.0 37.3 46.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.5 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.6 19.0 OpenBenchmarking.org Watts, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 360 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 369 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 334 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 58 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 58.0 58.5 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1closed-salient-allselected-01 36.9 37.7 37.9 bhz-big1ecoclosed-salient-allselected-01 36.9 36.9 36.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.9 43.9 bhz-big1closed-garuda-allselected-01 42.9 42.9 42.9 OpenBenchmarking.org Celsius, Fewer Is Better DaCapo Benchmark 9.12-MR1 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org msec, Fewer Is Better DaCapo Benchmark 9.12-MR1 Java Test: H2 bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 500 1000 1500 2000 2500 Min: 2705 / Avg: 2881.9 / Max: 3095 Min: 2720 / Avg: 2910.6 / Max: 3140 Min: 1919 / Avg: 2204.4 / Max: 2516 Min: 1934 / Avg: 2141.15 / Max: 2376
Java SciMark Min Avg Max bhz-big1ecoclosed-salient-allselected-01 36.9 37.8 38.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.8 43.9 bhz-big1closed-garuda-allselected-01 42.9 43.2 43.9 OpenBenchmarking.org Celsius, Fewer Is Better Java SciMark 2.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Min Avg Max bhz-big1closed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better Java SciMark 2.0 GPU Temperature Monitor 16 32 48 64 80
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.3 42.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.7 44.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.3 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 23.0 OpenBenchmarking.org Watts, Fewer Is Better Java SciMark 2.0 GPU Power Consumption Monitor 12 24 36 48 60
OpenBenchmarking.org Percent, Fewer Is Better Java SciMark 2.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
Min Avg Max bhz-big1closed-salient-allselected-01 40.5 66.8 73.9 bhz-big1ecoclosed-salient-allselected-01 43.0 67.7 73.6 bhz-big1ecoclosed-garuda-allselected-01 45.5 69.3 74.6 bhz-big1closed-garuda-allselected-01 45.0 67.7 73.8 OpenBenchmarking.org Celsius, Fewer Is Better Java SciMark 2.0 CPU Temperature Monitor 20 40 60 80 100
Result
OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.0 Computational Test: Composite bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 800 1600 2400 3200 4000 SE +/- 128.73, N = 16 SE +/- 34.59, N = 20 SE +/- 36.56, N = 20 SE +/- 30.33, N = 20 3398.21 3598.30 3599.60 3560.72
CPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 40.5 66.8 73.9 bhz-big1ecoclosed-salient-allselected-01 43.0 67.7 73.6 bhz-big1ecoclosed-garuda-allselected-01 45.5 69.3 74.6 bhz-big1closed-garuda-allselected-01 45.0 67.7 73.8 OpenBenchmarking.org Celsius, Fewer Is Better Java SciMark 2.0 CPU Temperature Monitor 20 40 60 80 100
CPU Usage (Summary
OpenBenchmarking.org Percent, Fewer Is Better Java SciMark 2.0 CPU Usage (Summary) Monitor bhz-big1closed-garuda-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 0.45 0.9 1.35 1.8 2.25 0.25 0.37 2.00
GPU Power Consumption
Min Avg Max bhz-big1closed-salient-allselected-01 35.0 36.3 42.0 bhz-big1ecoclosed-salient-allselected-01 35.0 36.7 44.0 bhz-big1ecoclosed-garuda-allselected-01 36.0 36.3 41.0 bhz-big1closed-garuda-allselected-01 6.0 6.3 23.0 OpenBenchmarking.org Watts, Fewer Is Better Java SciMark 2.0 GPU Power Consumption Monitor 12 24 36 48 60 1. bhz-big1closed-salient-allselected-01: Approximate power consumption of 1195 Joules per run. 2. bhz-big1ecoclosed-salient-allselected-01: Approximate power consumption of 1190 Joules per run. 3. bhz-big1ecoclosed-garuda-allselected-01: Approximate power consumption of 1179 Joules per run. 4. bhz-big1closed-garuda-allselected-01: Approximate power consumption of 204 Joules per run.
GPU Temp
Min Avg Max bhz-big1closed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-salient-allselected-01 57.0 58.1 59.0 bhz-big1ecoclosed-garuda-allselected-01 57.0 58.0 59.0 bhz-big1closed-garuda-allselected-01 30.0 30.9 31.0 OpenBenchmarking.org Celsius, Fewer Is Better Java SciMark 2.0 GPU Temperature Monitor 16 32 48 64 80
Drive Temp (nvme0n1
Min Avg Max bhz-big1ecoclosed-salient-allselected-01 36.9 37.8 38.9 bhz-big1ecoclosed-garuda-allselected-01 43.9 43.8 43.9 bhz-big1closed-garuda-allselected-01 42.9 43.2 43.9 OpenBenchmarking.org Celsius, Fewer Is Better Java SciMark 2.0 Drive Temperature (nvme0n1) Monitor 12 24 36 48 60
Result Confidence
OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.0 Computational Test: Composite bhz-big1closed-salient-allselected-01 bhz-big1ecoclosed-salient-allselected-01 bhz-big1ecoclosed-garuda-allselected-01 bhz-big1closed-garuda-allselected-01 600 1200 1800 2400 3000 Min: 1555.62 / Avg: 3398.21 / Max: 3751.11 Min: 3363.63 / Avg: 3598.3 / Max: 3793.77 Min: 3343.82 / Avg: 3599.6 / Max: 3801.74 Min: 3376.36 / Avg: 3560.72 / Max: 3783
bhz-big1closed-salient-allselected-01 Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.10+9)Python Notes: Python 3.9.3Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 28 April 2021 20:41 by user bruno.
bhz-big1ecoclosed-salient-allselected-01 Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Java Notes: OpenJDK Runtime Environment (build 11.0.10+9)Python Notes: Python 3.9.3Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 April 2021 19:06 by user bruno.
bhz-big1ecoclosed-salient-dota2-01 Processor: AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASRock B550 Phantom Gaming-ITX/ax (L1.61 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Corsair Force MP600, Graphics: Sapphire AMD Radeon RX 6800/6800 XT / 6900 16GB (2475/1000MHz), Audio: AMD Device ab28, Monitor: VG279QM, Network: Intel I225-V + Intel Wi-Fi 6 AX200
OS: salientos rolling, Kernel: 5.11.13-arch1-1 (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.20.11, OpenGL: 4.6 Mesa 21.0.2 (LLVM 11.1.0), Vulkan: 1.2.173, Compiler: GCC 10.2.0 + Clang 11.1.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 April 2021 23:44 by user bruno.
bhz-big1ecoclosed-garuda-allselected-01 Processor: AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASRock B550 Phantom Gaming-ITX/ax (L1.61 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Corsair Force MP600, Graphics: Sapphire AMD Radeon RX 6800/6800 XT / 6900 16GB (2475/1000MHz), Audio: AMD Device ab28, Monitor: VG279QM, Network: Intel I225-V + Intel Wi-Fi 6 AX200
OS: Garuda Soaring, Kernel: 5.10.27-1-lts (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.20.11, OpenGL: 4.6 Mesa 21.0.3 (LLVM 11.1.0), Vulkan: 1.2.145, Compiler: GCC 10.2.0 + Clang 11.1.0, File-System: btrfs, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.11+9)Python Notes: Python 3.9.4Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 April 2021 21:17 by user bruno.
bhz-big1closed-garuda-allselected-01 Processor: AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASRock B550 Phantom Gaming-ITX/ax (L1.61 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Corsair Force MP600, Graphics: Sapphire AMD Radeon RX 6800/6800 XT / 6900 16GB (2475/1000MHz), Audio: AMD Device ab28, Monitor: VG279QM, Network: Intel I225-V + Intel Wi-Fi 6 AX200
OS: Garuda Soaring, Kernel: 5.11.16-zen1-1-zen (x86_64), Desktop: Xfce 4.16, Display Server: X Server 1.20.11, OpenGL: 4.6 Mesa 21.0.3 (LLVM 11.1.0), Vulkan: 1.2.145, Compiler: GCC 10.2.0 + Clang 11.1.0, File-System: btrfs, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: alwaysCompiler Notes: --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnuProcessor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa201009Graphics Notes: GLAMORJava Notes: OpenJDK Runtime Environment (build 11.0.11+9)Python Notes: Python 3.9.4Security Notes: 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 1 May 2021 03:11 by user bruno.