ODROID-N2 benchmarks for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 1904251-HV-ODROIDN2760
{
"title": "ODROID-N2 Benchmark Comparison",
"last_modified": "2019-04-25 10:11:06",
"description": "ODROID-N2 benchmarks for a future article.",
"systems": {
"Jetson TX1 Max-P": {
"identifier": "Jetson TX1 Max-P",
"hardware": {
"Processor": "ARMv8 rev 1 @ 1.73GHz (4 Cores)",
"Motherboard": "jetson_tx1",
"Memory": "4096MB",
"Disk": "16GB 016G32",
"Graphics": "NVIDIA Tegra X1",
"Monitor": "VE228"
},
"software": {
"OS": "Ubuntu 16.04",
"Kernel": "4.4.38-tegra (aarch64)",
"Desktop": "Unity 7.4.5",
"Display Server": "X Server 1.18.4",
"Display Driver": "NVIDIA 28.1.0",
"OpenGL": "4.5.0",
"Vulkan": "1.0.8",
"Compiler": "GCC 5.4.0 20160609",
"File-System": "ext4",
"Screen Resolution": "1920x1080"
},
"user": "root",
"timestamp": "2019-03-17 00:43:22",
"data": {
"compiler-configuration": "--build=aarch64-linux-gnu --disable-browser-plugin --disable-libquadmath --disable-werror --enable-checking=release --enable-clocale=gnu --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,ada,c++,java,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --target=aarch64-linux-gnu --with-arch-directory=aarch64 --with-default-libstdcxx-abi=new -v",
"cpu-scaling-governor": "tegra-cpufreq interactive",
"python": "Python 2.7.12 + Python 3.5.2"
}
},
"Jetson TX2 Max-Q": {
"identifier": "Jetson TX2 Max-Q",
"hardware": {
"Processor": "ARMv8 rev 3 @ 1.27GHz (4 Cores \/ 6 Threads)",
"Motherboard": "quill",
"Memory": "8192MB",
"Disk": "31GB 032G34",
"Graphics": "NVIDIA TEGRA",
"Monitor": "VE228"
},
"software": {
"OS": "Ubuntu 16.04",
"Kernel": "4.4.38-tegra (aarch64)",
"Desktop": "Unity 7.4.0",
"Display Server": "X Server 1.18.4",
"Display Driver": "NVIDIA 28.2.1",
"OpenGL": "4.5.0",
"Compiler": "GCC 5.4.0 20160609 + CUDA 9.0",
"File-System": "ext4",
"Screen Resolution": "1920x1080"
},
"user": "NVIDIA",
"timestamp": "2019-03-16 01:16:15",
"data": {
"compiler-configuration": "--build=aarch64-linux-gnu --disable-browser-plugin --disable-libquadmath --disable-werror --enable-checking=release --enable-clocale=gnu --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,ada,c++,java,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --target=aarch64-linux-gnu --with-arch-directory=aarch64 --with-default-libstdcxx-abi=new -v",
"cpu-scaling-governor": "tegra_cpufreq schedutil",
"python": "Python 2.7.12 + Python 3.5.2"
}
},
"Jetson TX2 Max-P": {
"identifier": "Jetson TX2 Max-P",
"hardware": {
"Processor": "ARMv8 rev 3 @ 2.04GHz (4 Cores \/ 6 Threads)",
"Motherboard": "quill",
"Memory": "8192MB",
"Disk": "31GB 032G34",
"Graphics": "NVIDIA TEGRA",
"Monitor": "VE228"
},
"software": {
"OS": "Ubuntu 16.04",
"Kernel": "4.4.38-tegra (aarch64)",
"Desktop": "Unity 7.4.0",
"Display Server": "X Server 1.18.4",
"Display Driver": "NVIDIA 28.2.1",
"OpenGL": "4.5.0",
"Compiler": "GCC 5.4.0 20160609 + CUDA 9.0",
"File-System": "ext4",
"Screen Resolution": "1920x1080"
},
"user": "NVIDIA",
"timestamp": "2019-03-15 18:32:37",
"data": {
"compiler-configuration": "--build=aarch64-linux-gnu --disable-browser-plugin --disable-libquadmath --disable-werror --enable-checking=release --enable-clocale=gnu --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,ada,c++,java,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --target=aarch64-linux-gnu --with-arch-directory=aarch64 --with-default-libstdcxx-abi=new -v",
"cpu-scaling-governor": "tegra_cpufreq schedutil",
"python": "Python 2.7.12 + Python 3.5.2"
}
},
"Jetson AGX Xavier": {
"identifier": "Jetson AGX Xavier",
"hardware": {
"Processor": "ARMv8 rev 0 @ 2.27GHz (8 Cores)",
"Motherboard": "jetson-xavier",
"Memory": "16384MB",
"Disk": "31GB HBG4a2",
"Graphics": "NVIDIA Tegra Xavier",
"Monitor": "VE228"
},
"software": {
"OS": "Ubuntu 18.04",
"Kernel": "4.9.108-tegra (aarch64)",
"Desktop": "Unity 7.5.0",
"Display Server": "X Server 1.19.6",
"Display Driver": "NVIDIA 31.0.2",
"OpenGL": "4.6.0",
"Vulkan": "1.1.76",
"Compiler": "GCC 7.3.0 + CUDA 10.0",
"File-System": "ext4",
"Screen Resolution": "1920x1080"
},
"user": "NVIDIA",
"timestamp": "2019-03-15 06:47:08",
"data": {
"compiler-configuration": "--build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only -v",
"cpu-scaling-governor": "tegra_cpufreq schedutil",
"python": "Python 2.7.15rc1 + Python 3.6.7"
}
},
"Jetson Nano": {
"identifier": "Jetson Nano",
"hardware": {
"Processor": "ARMv8 rev 1 @ 1.43GHz (4 Cores)",
"Motherboard": "jetson-nano",
"Memory": "4096MB",
"Disk": "32GB GB1QT",
"Graphics": "NVIDIA TEGRA",
"Monitor": "VE228",
"Network": "Realtek RTL8111\/8168\/8411"
},
"software": {
"OS": "Ubuntu 18.04",
"Kernel": "4.9.140-tegra (aarch64)",
"Desktop": "Unity 7.5.0",
"Display Server": "X Server 1.19.6",
"Display Driver": "NVIDIA 1.0.0",
"Vulkan": "1.1.85",
"Compiler": "GCC 7.3.0 + CUDA 10.0",
"File-System": "ext4",
"Screen Resolution": "1920x1080"
},
"user": "phoronix",
"timestamp": "2019-03-17 15:12:37",
"data": {
"compiler-configuration": "--build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only -v",
"cpu-scaling-governor": "tegra-cpufreq schedutil",
"python": "Python 2.7.15rc1 + Python 3.6.7"
}
},
"Raspberry Pi 3 Model B+": {
"identifier": "Raspberry Pi 3 Model B+",
"hardware": {
"Processor": "ARMv7 rev 4 @ 1.40GHz (4 Cores)",
"Motherboard": "BCM2835 Raspberry Pi 3 Model B Plus Rev 1.3",
"Memory": "926MB",
"Disk": "32GB GB2MW",
"Graphics": "BCM2708"
},
"software": {
"OS": "Raspbian 9.6",
"Kernel": "4.19.23-v7+ (armv7l)",
"Desktop": "LXDE",
"Display Server": "X Server 1.19.2",
"Compiler": "GCC 6.3.0 20170516",
"File-System": "ext4",
"Screen Resolution": "656x416"
},
"user": "pi",
"timestamp": "2019-03-16 06:12:43",
"data": {
"compiler-configuration": "--build=arm-linux-gnueabihf --disable-browser-plugin --disable-libitm --disable-libquadmath --disable-sjlj-exceptions --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,ada,c++,java,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch-directory=arm --with-arch=armv6 --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfp --with-target-system-zlib -v",
"cpu-scaling-governor": "BCM2835 Freq ondemand",
"python": "Python 2.7.13 + Python 3.5.3"
}
},
"ASUS TinkerBoard": {
"identifier": "ASUS TinkerBoard",
"hardware": {
"Processor": "ARMv7 rev 1 @ 1.80GHz (4 Cores)",
"Motherboard": "Rockchip (Device Tree)",
"Memory": "2048MB",
"Disk": "32GB GB1QT"
},
"software": {
"OS": "Debian 9.0",
"Kernel": "4.4.16-00006-g4431f98-dirty (armv7l)",
"Desktop": "LXDE",
"Display Server": "X Server 1.18.4",
"Compiler": "GCC 6.3.0 20170516",
"File-System": "ext4",
"Screen Resolution": "1024x768"
},
"user": "root",
"timestamp": "2019-03-16 16:10:24",
"data": {
"compiler-configuration": "--build=arm-linux-gnueabihf --disable-browser-plugin --disable-libitm --disable-libquadmath --disable-sjlj-exceptions --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,ada,c++,java,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch-directory=arm --with-arch=armv7-a --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfpv3-d16 --with-mode=thumb --with-target-system-zlib -v",
"cpu-scaling-governor": "cpufreq-dt interactive",
"python": "Python 2.7.13 + Python 3.5.3"
}
},
"ODROID-XU4": {
"identifier": "ODROID-XU4",
"hardware": {
"Processor": "ARMv7 rev 3 @ 1.50GHz (8 Cores)",
"Motherboard": "ODROID-XU4 Hardkernel Odroid XU4",
"Memory": "2048MB",
"Disk": "16GB AJTD4R",
"Graphics": "llvmpipe 2GB",
"Monitor": "VE228"
},
"software": {
"OS": "Ubuntu 18.04",
"Kernel": "4.14.37-135 (armv7l)",
"Display Server": "X Server 1.19.6",
"OpenGL": "3.3 Mesa 18.0.0-rc5 (LLVM 6.0 128 bits)",
"Compiler": "GCC 7.3.0",
"File-System": "ext4",
"Screen Resolution": "1920x1080"
},
"user": "odroid",
"timestamp": "2019-03-17 11:10:26",
"data": {
"compiler-configuration": "--build=arm-linux-gnueabihf --disable-libitm --disable-libquadmath --disable-libquadmath-support --disable-sjlj-exceptions --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-multilib --enable-nls --enable-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch=armv7-a --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfpv3-d16 --with-gcc-major-version-only --with-mode=thumb --with-target-system-zlib -v",
"cpu-scaling-governor": "cpufreq-dt ondemand",
"graphics-2d-acceleration": "EXA",
"kernel-parameters": "usbhid.quirks=0x0eef:0x0005:0x0004",
"python": "Python 2.7.15rc1 + Python 3.6.7"
}
},
"ODROID-N2": {
"identifier": "ODROID-N2",
"hardware": {
"Processor": "ARMv8 Cortex-A73 @ 1.90GHz (6 Cores)",
"Motherboard": "Hardkernel ODROID-N2",
"Memory": "4096MB",
"Disk": "16GB AJTD4R",
"Graphics": "OSD"
},
"software": {
"OS": "Ubuntu 18.04",
"Kernel": "4.9.156-14 (aarch64)",
"Compiler": "GCC 7.3.0",
"File-System": "ext4",
"Screen Resolution": "1920x2160"
},
"user": "root",
"timestamp": "2019-04-21 01:09:54",
"data": {
"compiler-configuration": "--build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only -v",
"cpu-scaling-governor": "arm-big-little performance",
"python": "Python 2.7.15rc1 + Python 3.6.7"
}
},
"ODROID-C2": {
"identifier": "ODROID-C2",
"hardware": {
"Processor": "Amlogic ARMv8 Cortex-A53 @ 1.54GHz (4 Cores)",
"Motherboard": "ODROID-C2",
"Memory": "2048MB",
"Disk": "32GB GB1QT",
"Graphics": "OSD"
},
"software": {
"OS": "Ubuntu 18.04",
"Kernel": "3.16.57-20 (aarch64)",
"Display Server": "X Server 1.19.6",
"Compiler": "GCC 7.3.0",
"File-System": "ext4",
"Screen Resolution": "1920x1080"
},
"user": "odroid",
"timestamp": "2019-04-24 21:36:43",
"data": {
"compiler-configuration": "--build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-as=\/usr\/bin\/aarch64-linux-gnu-as --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-ld=\/usr\/bin\/aarch64-linux-gnu-ld -v",
"cpu-scaling-governor": "meson_cpufreq interactive",
"python": "Python 2.7.15rc1 + Python 3.6.7"
}
}
},
"results": {
"3ef37675e819e0c6e9ca3bb481e090d24421a285": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet50_224x224.prototxt --int8 --batch=4",
"description": "Performance \/ Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.070000000000000006661338147750939242541790008544921875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.08000000000000000166533453693773481063544750213623046875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.689999999999999946709294817992486059665679931640625,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.2099999999999999922284388276239042170345783233642578125,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"2cfc2939f7c4bade30a100a50dbaf1d208e53129": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=googlenet.prototxt --fp16 --batch=4",
"description": "Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 156,
"raw_values": [
153.162000000000006139089236967265605926513671875,
160.49700000000001409716787748038768768310546875,
165.87799999999998590283212251961231231689453125,
151.554000000000002046363078989088535308837890625,
163.542000000000001591615728102624416351318359375,
148.371000000000009322320693172514438629150390625,
155.991999999999990222931955941021442413330078125,
155.30099999999998772182152606546878814697265625,
148.84899999999998954081092961132526397705078125,
161.28800000000001091393642127513885498046875,
163.563999999999992951416061259806156158447265625,
146.960000000000007958078640513122081756591796875
],
"test_run_times": [
57.38000000000000255795384873636066913604736328125,
56.71000000000000085265128291212022304534912109375,
59.18999999999999772626324556767940521240234375,
57.469999999999998863131622783839702606201171875,
58.17999999999999971578290569595992565155029296875,
58.3599999999999994315658113919198513031005859375,
58.18999999999999772626324556767940521240234375,
58.340000000000003410605131648480892181396484375,
58.5799999999999982946974341757595539093017578125,
59.469999999999998863131622783839702606201171875,
58.280000000000001136868377216160297393798828125,
58.25999999999999801048033987171947956085205078125
]
},
"Jetson TX2 Max-P": {
"value": 197,
"raw_values": [
193.491000000000013869794202037155628204345703125,
201.347000000000008412825991399586200714111328125,
197.376000000000004774847184307873249053955078125
],
"test_run_times": [
54.8599999999999994315658113919198513031005859375,
52.64999999999999857891452847979962825775146484375,
52.56000000000000227373675443232059478759765625
]
},
"Jetson AGX Xavier": {
"value": 796,
"raw_values": [
797.316000000000030922819860279560089111328125,
790.769000000000005456968210637569427490234375,
798.875
],
"test_run_times": [
19.53999999999999914734871708787977695465087890625,
19.559999999999998721023075631819665431976318359375,
19.550000000000000710542735760100185871124267578125
]
},
"Jetson Nano": {
"value": 83.3700000000000045474735088646411895751953125,
"raw_values": [
82.74070000000000391082721762359142303466796875,
84.77379999999999427018337883055210113525390625,
82.6049000000000006593836587853729724884033203125
],
"test_run_times": [
90.8599999999999994315658113919198513031005859375,
92.7999999999999971578290569595992565155029296875,
90.2099999999999937472239253111183643341064453125
]
}
}
},
"ffba90bc6e56b93d1e0102003a1dd9e41a8e227c": {
"identifier": "pts\/compress-7zip-1.7.0",
"title": "7-Zip Compression",
"app_version": "16.02",
"description": "Compress Speed Test",
"scale": "MIPS",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 4508,
"raw_values": [
4529,
4512,
4483
],
"test_run_times": [
49.090000000000003410605131648480892181396484375,
48.72999999999999687361196265555918216705322265625,
48.97999999999999687361196265555918216705322265625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"Jetson TX2 Max-Q": {
"value": 3294,
"raw_values": [
3313,
3300,
3269
],
"test_run_times": [
90.7000000000000028421709430404007434844970703125,
92.340000000000003410605131648480892181396484375,
92.25
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"Jetson TX2 Max-P": {
"value": 5593,
"raw_values": [
5571,
5635,
5574
],
"test_run_times": [
65.1099999999999994315658113919198513031005859375,
64.4200000000000017053025658242404460906982421875,
64.3900000000000005684341886080801486968994140625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"Jetson AGX Xavier": {
"value": 19212,
"raw_values": [
16806,
17652,
19749,
19582,
19705,
19527,
19653,
19780,
19659,
19415,
19531,
19483
],
"test_run_times": [
32.31000000000000227373675443232059478759765625,
31.969999999999998863131622783839702606201171875,
30.870000000000000994759830064140260219573974609375,
30.910000000000000142108547152020037174224853515625,
30.71000000000000085265128291212022304534912109375,
31.14999999999999857891452847979962825775146484375,
30.969999999999998863131622783839702606201171875,
30.719999999999998863131622783839702606201171875,
30.800000000000000710542735760100185871124267578125,
31.21000000000000085265128291212022304534912109375,
31.3900000000000005684341886080801486968994140625,
31.010000000000001563194018672220408916473388671875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"Jetson Nano": {
"value": 4049,
"raw_values": [
4084,
4037,
4025
],
"test_run_times": [
49.89999999999999857891452847979962825775146484375,
50.81000000000000227373675443232059478759765625,
50.67999999999999971578290569595992565155029296875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"Raspberry Pi 3 Model B+": {
"value": 2013,
"raw_values": [
1778,
2056,
2047,
2030,
2041,
2029,
2031,
2009,
2039,
2037,
2042
],
"test_run_times": [
118.2399999999999948840923025272786617279052734375,
84.159999999999996589394868351519107818603515625,
86.0400000000000062527760746888816356658935546875,
86.3900000000000005684341886080801486968994140625,
86.2300000000000039790393202565610408782958984375,
86.969999999999998863131622783839702606201171875,
86.5799999999999982946974341757595539093017578125,
87.469999999999998863131622783839702606201171875,
86.659999999999996589394868351519107818603515625,
86.5199999999999960209606797434389591217041015625,
86.409999999999996589394868351519107818603515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"ASUS TinkerBoard": {
"value": 2836,
"raw_values": [
2866,
2875,
2766
],
"test_run_times": [
72.06000000000000227373675443232059478759765625,
65.150000000000005684341886080801486968994140625,
66.030000000000001136868377216160297393798828125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"ODROID-XU4": {
"value": 4120,
"raw_values": [
4164,
3810,
4934,
4463,
4093,
4087,
3798,
3949,
4070,
4053,
3958,
4064
],
"test_run_times": [
97.2399999999999948840923025272786617279052734375,
106.599999999999994315658113919198513031005859375,
94.9800000000000039790393202565610408782958984375,
104.2699999999999960209606797434389591217041015625,
102.1099999999999994315658113919198513031005859375,
98.2699999999999960209606797434389591217041015625,
108.840000000000003410605131648480892181396484375,
105.06000000000000227373675443232059478759765625,
107.8299999999999982946974341757595539093017578125,
100.3799999999999954525264911353588104248046875,
105.1400000000000005684341886080801486968994140625,
106.4500000000000028421709430404007434844970703125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"ODROID-N2": {
"value": 5970,
"raw_values": [
5969,
5967,
5975
],
"test_run_times": [
54.18999999999999772626324556767940521240234375,
54.2000000000000028421709430404007434844970703125,
54.219999999999998863131622783839702606201171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
},
"ODROID-C2": {
"value": 2121,
"raw_values": [
2115,
2136,
2113
],
"test_run_times": [
85.969999999999998863131622783839702606201171875,
85.0400000000000062527760746888816356658935546875,
86.2099999999999937472239253111183643341064453125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-pipe -lpthread"
}
}
}
}
},
"6f14aaa0682fb3df9e455a8e6d94af10eb877583": {
"title": "LeelaChessZero",
"app_version": "0.20.1",
"arguments": "dollar comparison -b blas",
"description": "Performance \/ Cost - Backend: BLAS",
"scale": "Nodes Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.1600000000000000033306690738754696212708950042724609375,
"details": {
"install-footnote": "$99 reported cost."
}
},
"ODROID-N2": {
"value": 0.38000000000000000444089209850062616169452667236328125,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"185960d0c7c05c41bcde89310acc8873fdca7151": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg19_N2.prototxt --fp16 --batch=32",
"description": "Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 23.940000000000001278976924368180334568023681640625,
"raw_values": [
24.03699999999999903366187936626374721527099609375,
23.7941000000000002501110429875552654266357421875,
23.990700000000000358113538823090493679046630859375
],
"test_run_times": [
445.75,
447.029999999999972715158946812152862548828125,
446.18999999999999772626324556767940521240234375
]
},
"Jetson TX2 Max-P": {
"value": 29.8299999999999982946974341757595539093017578125,
"raw_values": [
29.762699999999998823341229581274092197418212890625,
29.937599999999999766941982670687139034271240234375,
29.79429999999999978399500832892954349517822265625
],
"test_run_times": [
333.8999999999999772626324556767940521240234375,
337.529999999999972715158946812152862548828125,
334.80000000000001136868377216160297393798828125
]
},
"Jetson AGX Xavier": {
"value": 203.960000000000007958078640513122081756591796875,
"raw_values": [
203.914999999999992041921359486877918243408203125,
203.924000000000006593836587853729724884033203125,
204.032000000000010686562745831906795501708984375
],
"test_run_times": [
91.7399999999999948840923025272786617279052734375,
91.8900000000000005684341886080801486968994140625,
91.5400000000000062527760746888816356658935546875
]
}
}
},
"8680ef7335d3543a89ecc6d641fe95d88462abc0": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg16_N2.prototxt --fp16 --batch=32",
"description": "Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 29.8299999999999982946974341757595539093017578125,
"raw_values": [
29.481899999999999550936990999616682529449462890625,
29.877500000000001278976924368180334568023681640625,
30.115700000000000358113538823090493679046630859375
],
"test_run_times": [
378.01999999999998181010596454143524169921875,
376.3999999999999772626324556767940521240234375,
377.73000000000001818989403545856475830078125
]
},
"Jetson TX2 Max-P": {
"value": 36.86999999999999744204615126363933086395263671875,
"raw_values": [
37.182400000000001227817847393453121185302734375,
36.246499999999997498889570124447345733642578125,
37.19189999999999685087459511123597621917724609375
],
"test_run_times": [
277.68999999999999772626324556767940521240234375,
284.31000000000000227373675443232059478759765625,
281.529999999999972715158946812152862548828125
]
},
"Jetson AGX Xavier": {
"value": 247.94999999999998863131622783839702606201171875,
"raw_values": [
248.1390000000000100044417195022106170654296875,
247.7259999999999990905052982270717620849609375,
247.980999999999994543031789362430572509765625
],
"test_run_times": [
79.340000000000003410605131648480892181396484375,
81.7300000000000039790393202565610408782958984375,
81.9800000000000039790393202565610408782958984375
]
}
}
},
"200b031ac21f1a10efbf78ba360c33e670e19500": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=googlenet.prototxt --int8 --batch=32",
"description": "Performance \/ Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.1700000000000000122124532708767219446599483489990234375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.2200000000000000011102230246251565404236316680908203125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 1.3000000000000000444089209850062616169452667236328125,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.560000000000000053290705182007513940334320068359375,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"4ecdbd99750a0daa01188f4262a5be2dda8ef368": {
"identifier": "pts\/ttsiod-renderer-1.7.0",
"title": "TTSIOD 3D Renderer",
"app_version": "2.3b",
"description": "Phong Rendering With Soft-Shadow Mapping",
"scale": "FPS",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 45.090000000000003410605131648480892181396484375,
"raw_values": [
45.077100000000001500666257925331592559814453125,
45.1629999999999967030817060731351375579833984375,
45.037700000000000954969436861574649810791015625
],
"test_run_times": [
235.219999999999998863131622783839702606201171875,
234.659999999999996589394868351519107818603515625,
235.1299999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"Jetson TX2 Max-Q": {
"value": 28.85000000000000142108547152020037174224853515625,
"raw_values": [
29.38719999999999998863131622783839702606201171875,
29.364399999999999835154085303656756877899169921875,
27.486200000000000187583282240666449069976806640625,
29.14880000000000137561073643155395984649658203125
],
"test_run_times": [
351.83999999999997498889570124447345733642578125,
352.16000000000002501110429875552654266357421875,
375.3799999999999954525264911353588104248046875,
354.6499999999999772626324556767940521240234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"Jetson TX2 Max-P": {
"value": 49.25999999999999801048033987171947956085205078125,
"raw_values": [
49.39779999999999660076355212368071079254150390625,
49.420299999999997453414835035800933837890625,
48.95750000000000312638803734444081783294677734375
],
"test_run_times": [
213.740000000000009094947017729282379150390625,
213.590000000000003410605131648480892181396484375,
215.56000000000000227373675443232059478759765625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"Jetson AGX Xavier": {
"value": 133,
"raw_values": [
150.97800000000000864019966684281826019287109375,
134.801999999999992496668710373342037200927734375,
131.33699999999998908606357872486114501953125,
132.462999999999993860910763032734394073486328125,
132.03100000000000591171556152403354644775390625,
130.6399999999999863575794734060764312744140625,
130.868999999999999772626324556767940521240234375,
131.890999999999991132426657713949680328369140625,
131.491000000000013869794202037155628204345703125,
130.97100000000000363797880709171295166015625,
130.8319999999999936335370875895023345947265625,
132.078000000000002955857780762016773223876953125
],
"test_run_times": [
77.81999999999999317878973670303821563720703125,
85.780000000000001136868377216160297393798828125,
87.6400000000000005684341886080801486968994140625,
87.06999999999999317878973670303821563720703125,
87.2999999999999971578290569595992565155029296875,
88.090000000000003410605131648480892181396484375,
87.969999999999998863131622783839702606201171875,
87.469999999999998863131622783839702606201171875,
87.6700000000000017053025658242404460906982421875,
87.8900000000000005684341886080801486968994140625,
87.9899999999999948840923025272786617279052734375,
87.3799999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"Jetson Nano": {
"value": 40.93999999999999772626324556767940521240234375,
"raw_values": [
40.902500000000003410605131648480892181396484375,
40.76809999999999689634933019988238811492919921875,
41.15240000000000009094947017729282379150390625
],
"test_run_times": [
256.18999999999999772626324556767940521240234375,
256.720000000000027284841053187847137451171875,
254.469999999999998863131622783839702606201171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"Raspberry Pi 3 Model B+": {
"value": 17.660000000000000142108547152020037174224853515625,
"raw_values": [
17.98400000000000176214598468504846096038818359375,
17.50280000000000057980287238024175167083740234375,
17.501000000000001222133505507372319698333740234375
],
"test_run_times": [
568.529999999999972715158946812152862548828125,
583.529999999999972715158946812152862548828125,
583.5900000000000318323145620524883270263671875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"ASUS TinkerBoard": {
"value": 21.219999999999998863131622783839702606201171875,
"raw_values": [
23.345099999999998630073605454526841640472412109375,
21.235099999999999198507794062606990337371826171875,
20.958600000000000562749846721999347209930419921875,
20.88029999999999830606611794792115688323974609375,
20.847899999999999209876477834768593311309814453125,
20.871500000000001051603248924948275089263916015625,
20.986599999999999255351212923415005207061767578125,
20.9134999999999990905052982270717620849609375,
20.90579999999999927240423858165740966796875
],
"test_run_times": [
440.18999999999999772626324556767940521240234375,
482.6200000000000045474735088646411895751953125,
488.81999999999999317878973670303821563720703125,
490.56999999999999317878973670303821563720703125,
491.3799999999999954525264911353588104248046875,
490.82999999999998408384271897375583648681640625,
488.18000000000000682121026329696178436279296875,
490,
490.07999999999998408384271897375583648681640625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"ODROID-XU4": {
"value": 41.96000000000000085265128291212022304534912109375,
"raw_values": [
49.12819999999999964757080306299030780792236328125,
42.89750000000000085265128291212022304534912109375,
39.7691999999999978854248183779418468475341796875,
40.48169999999999646433934685774147510528564453125,
41.59179999999999921556081972084939479827880859375,
42.50919999999999987494447850622236728668212890625,
40.0076999999999998181010596454143524169921875,
41.087299999999999045030563138425350189208984375,
40.16420000000000101181285572238266468048095703125
],
"test_run_times": [
215.6100000000000136424205265939235687255859375,
245.06000000000000227373675443232059478759765625,
263.3700000000000045474735088646411895751953125,
259.009999999999990905052982270717620849609375,
252.520000000000010231815394945442676544189453125,
247.229999999999989768184605054557323455810546875,
261.970000000000027284841053187847137451171875,
255.580000000000012505552149377763271331787109375,
260.970000000000027284841053187847137451171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"ODROID-N2": {
"value": 57.4200000000000017053025658242404460906982421875,
"raw_values": [
57.3581999999999965211827657185494899749755859375,
57.37169999999999703277353546582162380218505859375,
57.52279999999999660076355212368071079254150390625
],
"test_run_times": [
185.580000000000012505552149377763271331787109375,
185.330000000000012505552149377763271331787109375,
185.009999999999990905052982270717620849609375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
},
"ODROID-C2": {
"value": 22.10000000000000142108547152020037174224853515625,
"raw_values": [
21.9328000000000002955857780762016773223876953125,
22.20629999999999881765688769519329071044921875,
22.145900000000001028865881380625069141387939453125
],
"test_run_times": [
468.69999999999998863131622783839702606201171875,
462.93000000000000682121026329696178436279296875,
464.1399999999999863575794734060764312744140625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++"
}
}
}
}
},
"fa95c59f61f38f7b8191e913fa323e51b9368538": {
"identifier": "pts\/pybench-1.1.3",
"title": "PyBench",
"app_version": "2018-02-16",
"description": "Total For Average Test Times",
"scale": "Milliseconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 6339,
"raw_values": [
6351,
6364,
6303
],
"test_run_times": [
141.770000000000010231815394945442676544189453125,
142.05000000000001136868377216160297393798828125,
141.020000000000010231815394945442676544189453125
]
},
"Jetson TX2 Max-Q": {
"value": 8735,
"raw_values": [
8690,
8695,
8820
],
"test_run_times": [
194.979999999999989768184605054557323455810546875,
194.81000000000000227373675443232059478759765625,
198.030000000000001136868377216160297393798828125
]
},
"Jetson TX2 Max-P": {
"value": 5408,
"raw_values": [
5366,
5475,
5383
],
"test_run_times": [
120.659999999999996589394868351519107818603515625,
122.56000000000000227373675443232059478759765625,
120.409999999999996589394868351519107818603515625
]
},
"Jetson AGX Xavier": {
"value": 3007,
"raw_values": [
2998,
3008,
3014
],
"test_run_times": [
72.2900000000000062527760746888816356658935546875,
70.0100000000000051159076974727213382720947265625,
69.8599999999999994315658113919198513031005859375
]
},
"Jetson Nano": {
"value": 7084,
"raw_values": [
7066,
7156,
7031
],
"test_run_times": [
161.1399999999999863575794734060764312744140625,
159.030000000000001136868377216160297393798828125,
159.44999999999998863131622783839702606201171875
]
},
"Raspberry Pi 3 Model B+": {
"value": 20913,
"raw_values": [
20945,
20826,
20967
],
"test_run_times": [
474.43999999999999772626324556767940521240234375,
472.30000000000001136868377216160297393798828125,
476.42000000000001591615728102624416351318359375
]
},
"ASUS TinkerBoard": {
"value": 11502,
"raw_values": [
15691,
16297,
10322,
10167,
10110,
10339,
10437,
9624,
10534
],
"test_run_times": [
479.76999999999998181010596454143524169921875,
478.92000000000001591615728102624416351318359375,
291.73000000000001818989403545856475830078125,
270.720000000000027284841053187847137451171875,
266.81999999999999317878973670303821563720703125,
268.3799999999999954525264911353588104248046875,
268.029999999999972715158946812152862548828125,
266.67000000000001591615728102624416351318359375,
268.8899999999999863575794734060764312744140625
]
},
"ODROID-XU4": {
"value": 5009,
"raw_values": [
4990,
5070,
4968
],
"test_run_times": [
118.43999999999999772626324556767940521240234375,
120.030000000000001136868377216160297393798828125,
118
]
},
"ODROID-N2": {
"value": 5231,
"raw_values": [
5215,
5230,
5247
],
"test_run_times": [
117.18999999999999772626324556767940521240234375,
117.400000000000005684341886080801486968994140625,
117.6299999999999954525264911353588104248046875
]
},
"ODROID-C2": {
"value": 12184,
"raw_values": [
12207,
12128,
12217
],
"test_run_times": [
274.83999999999997498889570124447345733642578125,
274.57999999999998408384271897375583648681640625,
274.8500000000000227373675443232059478759765625
]
}
}
},
"94c1397628a33f5f2dd027de8fc2c5d1d3256d9d": {
"identifier": "pts\/lczero-1.1.1",
"title": "LeelaChessZero",
"app_version": "0.20.1",
"arguments": "-b cudnn",
"description": "Backend: CUDA + cuDNN",
"scale": "Nodes Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 953,
"raw_values": [
960.6480000000000245563569478690624237060546875,
940.7640000000000100044417195022106170654296875,
957.2559999999999718056642450392246246337890625
],
"test_run_times": [
23.67999999999999971578290569595992565155029296875,
23.769999999999999573674358543939888477325439453125,
23.370000000000000994759830064140260219573974609375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-lpthread -lz"
}
}
},
"Jetson Nano": {
"value": 140,
"raw_values": [
140.3079999999999927240423858165740966796875,
139.4660000000000081854523159563541412353515625,
139.604000000000013415046851150691509246826171875
],
"test_run_times": [
144.8899999999999863575794734060764312744140625,
139.919999999999987494447850622236728668212890625,
140.990000000000009094947017729282379150390625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-lpthread -lz"
}
}
}
}
},
"149afeae11c9f12778c0c839f9f2d57f0bf6aa65": {
"identifier": "pts\/lczero-1.1.1",
"title": "LeelaChessZero",
"app_version": "0.20.1",
"arguments": "-b blas",
"description": "Backend: BLAS",
"scale": "Nodes Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 47.61999999999999744204615126363933086395263671875,
"raw_values": [
51.2965999999999979763742885552346706390380859375,
47.22330000000000183035808731801807880401611328125,
46.46509999999999962483343551866710186004638671875,
47.15570000000000305817593471147119998931884765625,
46.72059999999999746478351880796253681182861328125,
47.1349000000000017962520360015332698822021484375,
47.3134000000000014551915228366851806640625
],
"test_run_times": [
374.6399999999999863575794734060764312744140625,
407.029999999999972715158946812152862548828125,
412.240000000000009094947017729282379150390625,
406.029999999999972715158946812152862548828125,
414.029999999999972715158946812152862548828125,
406.20999999999997953636921010911464691162109375,
404.720000000000027284841053187847137451171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-lpthread -lz"
}
}
},
"Jetson Nano": {
"value": 15.3699999999999992184029906638897955417633056640625,
"raw_values": [
15.3986999999999998323119143606163561344146728515625,
15.30819999999999936335370875895023345947265625,
15.396100000000000562749846721999347209930419921875
],
"test_run_times": [
1226.819999999999936335370875895023345947265625,
1228.76999999999998181010596454143524169921875,
1243.180000000000063664629124104976654052734375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-lpthread -lz"
}
}
},
"ODROID-N2": {
"value": 24.3900000000000005684341886080801486968994140625,
"raw_values": [
24.447500000000001563194018672220408916473388671875,
24.1965000000000003410605131648480892181396484375,
24.524699999999999278088580467738211154937744140625
],
"test_run_times": [
787.220000000000027284841053187847137451171875,
797.220000000000027284841053187847137451171875,
788.4299999999999499777914024889469146728515625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-lpthread -lz"
}
}
},
"ODROID-C2": {
"value": 7.3300000000000000710542735760100185871124267578125,
"raw_values": [
6.90481999999999995765165294869802892208099365234375,
7.31003000000000024982682589325122535228729248046875,
7.7101699999999997459099176921881735324859619140625,
7.49064999999999958646412778762169182300567626953125,
7.302550000000000096633812063373625278472900390625,
7.28798999999999974619413478649221360683441162109375,
7.286889999999999645297066308557987213134765625
],
"test_run_times": [
2745.05999999999994543031789362430572509765625,
2605.739999999999781721271574497222900390625,
2467.05999999999994543031789362430572509765625,
2515.80999999999994543031789362430572509765625,
2599.5,
2601.69000000000005456968210637569427490234375,
2616.239999999999781721271574497222900390625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-lpthread -lz"
}
}
}
}
},
"fbcbf269b8c6e8f3ff08d0d5bc80c365ae4ad893": {
"identifier": "pts\/encode-flac-1.6.0",
"title": "FLAC Audio Encoding",
"app_version": "1.3.2",
"description": "WAV To FLAC",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 79.2000000000000028421709430404007434844970703125,
"raw_values": [
80.6431021690369931320674368180334568023681640625,
80.3750138282780000054117408581078052520751953125,
80.0369668006899956935740192420780658721923828125,
76.87739801406900141955702565610408782958984375,
78.043719053268006291546043939888477325439453125
],
"test_run_times": [
80.6400000000000005684341886080801486968994140625,
80.3700000000000045474735088646411895751953125,
80.0400000000000062527760746888816356658935546875,
76.8799999999999954525264911353588104248046875,
78.0400000000000062527760746888816356658935546875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"Jetson TX2 Max-Q": {
"value": 104.280000000000001136868377216160297393798828125,
"raw_values": [
103.9903008937800024114039842970669269561767578125,
104.48815512657000681429053656756877899169921875,
104.7608380317700067507757921703159809112548828125,
104.373270988460006947207148186862468719482421875,
103.76553392409999787560082040727138519287109375
],
"test_run_times": [
103.9899999999999948840923025272786617279052734375,
104.4899999999999948840923025272786617279052734375,
104.7600000000000051159076974727213382720947265625,
104.3700000000000045474735088646411895751953125,
103.7699999999999960209606797434389591217041015625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"Jetson TX2 Max-P": {
"value": 65.06999999999999317878973670303821563720703125,
"raw_values": [
65.0998229980470028976924368180334568023681640625,
65.64143896102899589095613919198513031005859375,
64.7994041442869956881622783839702606201171875,
64.83046007156400492021930404007434844970703125,
64.956172943115007001324556767940521240234375
],
"test_run_times": [
65.099999999999994315658113919198513031005859375,
65.6400000000000005684341886080801486968994140625,
64.7999999999999971578290569595992565155029296875,
64.8299999999999982946974341757595539093017578125,
64.9599999999999937472239253111183643341064453125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"Jetson AGX Xavier": {
"value": 54.469999999999998863131622783839702606201171875,
"raw_values": [
56.73062205314599992789226234890520572662353515625,
54.3937370777129984844577847979962825775146484375,
53.06493997573900145425795926712453365325927734375,
53.975198030472000709778512828052043914794921875,
54.1793780326839993222165503539144992828369140625
],
"test_run_times": [
56.72999999999999687361196265555918216705322265625,
54.3900000000000005684341886080801486968994140625,
53.06000000000000227373675443232059478759765625,
53.969999999999998863131622783839702606201171875,
54.17999999999999971578290569595992565155029296875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"Jetson Nano": {
"value": 104.7699999999999960209606797434389591217041015625,
"raw_values": [
103.41150212287999465843313373625278472900390625,
105.257294893259995660628192126750946044921875,
103.1429331302600047592932241968810558319091796875,
107.75390219688000570386066101491451263427734375,
104.2867810726200019644238636828958988189697265625
],
"test_run_times": [
103.409999999999996589394868351519107818603515625,
105.2600000000000051159076974727213382720947265625,
103.1400000000000005684341886080801486968994140625,
107.75,
104.2900000000000062527760746888816356658935546875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"Raspberry Pi 3 Model B+": {
"value": 339.529999999999972715158946812152862548828125,
"raw_values": [
339.3103728294399843434803187847137451171875,
337.10595822333999649345059879124164581298828125,
342.56921696662999465843313373625278472900390625,
340.70349907874998507395503111183643341064453125,
337.950094938280017231591045856475830078125
],
"test_run_times": [
339.31000000000000227373675443232059478759765625,
337.1100000000000136424205265939235687255859375,
342.56999999999999317878973670303821563720703125,
340.69999999999998863131622783839702606201171875,
337.94999999999998863131622783839702606201171875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"ASUS TinkerBoard": {
"value": 279.05000000000001136868377216160297393798828125,
"raw_values": [
286.25495100020998506806790828704833984375,
281.78744792937999363857670687139034271240234375,
279.70542287826998517630272544920444488525390625,
271.50059986115002175210975110530853271484375,
275.992618083949992069392465054988861083984375
],
"test_run_times": [
286.25,
281.79000000000002046363078989088535308837890625,
279.69999999999998863131622783839702606201171875,
271.5,
275.990000000000009094947017729282379150390625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"ODROID-XU4": {
"value": 97.030000000000001136868377216160297393798828125,
"raw_values": [
97.058123111724995624172152020037174224853515625,
96.899234056473005693987943232059478759765625,
96.2243180274959968301118351519107818603515625,
96.844074964523002790883765555918216705322265625,
98.121542930602998922040569595992565155029296875
],
"test_run_times": [
97.06000000000000227373675443232059478759765625,
96.900000000000005684341886080801486968994140625,
96.219999999999998863131622783839702606201171875,
96.840000000000003410605131648480892181396484375,
98.1200000000000045474735088646411895751953125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"ODROID-N2": {
"value": 95.590000000000003410605131648480892181396484375,
"raw_values": [
94.9401931762700002082056016661226749420166015625,
95.5101840496059963925290503539144992828369140625,
95.1881430149079932334643672220408916473388671875,
95.8802530765530036660493351519107818603515625,
96.45373296737699320146930404007434844970703125
],
"test_run_times": [
94.93999999999999772626324556767940521240234375,
95.5100000000000051159076974727213382720947265625,
95.18999999999999772626324556767940521240234375,
95.8799999999999954525264911353588104248046875,
96.4500000000000028421709430404007434844970703125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
},
"ODROID-C2": {
"value": 262.31000000000000227373675443232059478759765625,
"raw_values": [
265.96660017967002431760192848742008209228515625,
263.98608803748999207527958787977695465087890625,
260.36004304886000682017765939235687255859375,
263.66789484024002376827411353588104248046875,
257.5701370239299876629956997931003570556640625
],
"test_run_times": [
265.970000000000027284841053187847137451171875,
263.990000000000009094947017729282379150390625,
260.3600000000000136424205265939235687255859375,
263.67000000000001591615728102624416351318359375,
257.56999999999999317878973670303821563720703125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-O2 -fvisibility=hidden -logg -lm"
}
}
}
}
},
"7ee818e0aa76e639cbac19d89389b0438ed610bf": {
"identifier": "pts\/compress-zstd-1.1.1",
"title": "Zstd Compression",
"app_version": "1.3.4",
"description": "Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 145.80000000000001136868377216160297393798828125,
"raw_values": [
146.090016841889990928393672220408916473388671875,
144.972635984420008981032879091799259185791015625,
146.329874038700012306435382924973964691162109375
],
"test_run_times": [
146.090000000000003410605131648480892181396484375,
144.969999999999998863131622783839702606201171875,
146.330000000000012505552149377763271331787109375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"Jetson TX2 Max-Q": {
"value": 253.80000000000001136868377216160297393798828125,
"raw_values": [
252.571220159529985949120600707828998565673828125,
255.827800989150006216732435859739780426025390625,
252.99618387222000137626309879124164581298828125
],
"test_run_times": [
252.56999999999999317878973670303821563720703125,
255.830000000000012505552149377763271331787109375,
253
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"Jetson TX2 Max-P": {
"value": 144.969999999999998863131622783839702606201171875,
"raw_values": [
144.40146207808999179178499616682529449462890625,
145.389174938200000042343162931501865386962890625,
145.10904502868999088605050928890705108642578125
],
"test_run_times": [
144.400000000000005684341886080801486968994140625,
145.3899999999999863575794734060764312744140625,
145.1100000000000136424205265939235687255859375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"Jetson AGX Xavier": {
"value": 80.06000000000000227373675443232059478759765625,
"raw_values": [
78.2619969844819962645487976260483264923095703125,
81.17675495147699393783113919198513031005859375,
80.7359549999240044826365192420780658721923828125
],
"test_run_times": [
78.2600000000000051159076974727213382720947265625,
81.18000000000000682121026329696178436279296875,
80.7399999999999948840923025272786617279052734375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"Jetson Nano": {
"value": 129.8700000000000045474735088646411895751953125,
"raw_values": [
129.742412090300007321275188587605953216552734375,
130.30371499061999429613933898508548736572265625,
129.55208706856001299456693232059478759765625
],
"test_run_times": [
129.740000000000009094947017729282379150390625,
130.30000000000001136868377216160297393798828125,
129.55000000000001136868377216160297393798828125
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"Raspberry Pi 3 Model B+": {
"value": 342.23000000000001818989403545856475830078125,
"raw_values": [
343.86739301682001723747816868126392364501953125,
342.51502299308998544802307151257991790771484375,
340.31952023505999704866553656756877899169921875
],
"test_run_times": [
343.8600000000000136424205265939235687255859375,
342.509999999999990905052982270717620849609375,
340.31999999999999317878973670303821563720703125
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"ASUS TinkerBoard": {
"value": 496.6200000000000045474735088646411895751953125,
"raw_values": [
493.97650408744999595000990666449069976806640625,
500.89577293396001778091886080801486968994140625,
494.98889088631000277018756605684757232666015625
],
"test_run_times": [
493.98000000000001818989403545856475830078125,
500.8999999999999772626324556767940521240234375,
494.990000000000009094947017729282379150390625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"ODROID-N2": {
"value": 152.039999999999992041921359486877918243408203125,
"raw_values": [
153.93824005126998599735088646411895751953125,
148.514934062960008986920001916587352752685546875,
153.6802008152000098561984486877918243408203125
],
"test_run_times": [
153.93999999999999772626324556767940521240234375,
148.509999999999990905052982270717620849609375,
153.68000000000000682121026329696178436279296875
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
},
"ODROID-C2": {
"value": 314.32999999999998408384271897375583648681640625,
"raw_values": [
312.12533116341001004911959171295166015625,
316.95134902000000920452293939888477325439453125,
313.89981698989998903925879858434200286865234375
],
"test_run_times": [
312.1299999999999954525264911353588104248046875,
316.94999999999998863131622783839702606201171875,
313.8999999999999772626324556767940521240234375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-O3 -pthread -lz -llzma"
}
}
}
}
},
"a1b2f7d6aa6b116efa5162eb5ae19574b807ffa0": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=AlexNet_N2.prototxt --int8 --batch=32",
"description": "Performance \/ Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.40000000000000002220446049250313080847263336181640625,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.5,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 2.4199999999999999289457264239899814128875732421875,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 1.29000000000000003552713678800500929355621337890625,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"2fce56768ec8fbb681400a1706b2320d71ae5315": {
"identifier": "pts\/rust-prime-1.0.0",
"title": "Rust Prime Benchmark",
"description": "Prime Number Test To 200,000,000",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 128.44999999999998863131622783839702606201171875,
"raw_values": [
128.757032871250004291141522116959095001220703125,
129.60009694098999943889793939888477325439453125,
127.0019800663000069107511080801486968994140625
],
"test_run_times": [
128.759999999999990905052982270717620849609375,
129.599999999999994315658113919198513031005859375,
127
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
},
"Jetson TX2 Max-Q": {
"value": 170.25,
"raw_values": [
170.263616085049989123945124447345733642578125,
170.08605980872999907660414464771747589111328125,
170.40502190590001418968313373625278472900390625
],
"test_run_times": [
170.259999999999990905052982270717620849609375,
170.090000000000003410605131648480892181396484375,
170.400000000000005684341886080801486968994140625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
},
"Jetson TX2 Max-P": {
"value": 104.9599999999999937472239253111183643341064453125,
"raw_values": [
104.9254651069600043911123066209256649017333984375,
105.041125059129996088813641108572483062744140625,
104.90127086639000708601088263094425201416015625
],
"test_run_times": [
104.93000000000000682121026329696178436279296875,
105.0400000000000062527760746888816356658935546875,
104.900000000000005684341886080801486968994140625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
},
"Jetson AGX Xavier": {
"value": 32.36999999999999744204615126363933086395263671875,
"raw_values": [
32.3690061569210030256726895458996295928955078125,
32.35919189453100131004248396493494510650634765625,
32.3678209781649997012209496460855007171630859375
],
"test_run_times": [
32.36999999999999744204615126363933086395263671875,
32.3599999999999994315658113919198513031005859375,
32.36999999999999744204615126363933086395263671875
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
},
"Jetson Nano": {
"value": 150.18999999999999772626324556767940521240234375,
"raw_values": [
150.4321539402000098561984486877918243408203125,
149.75622010231001013380591757595539093017578125,
150.379739046100013410978135652840137481689453125
],
"test_run_times": [
150.43000000000000682121026329696178436279296875,
149.759999999999990905052982270717620849609375,
150.3799999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
},
"Raspberry Pi 3 Model B+": {
"value": 1097.69000000000005456968210637569427490234375,
"raw_values": [
1100.761825799899952471605502068996429443359375,
1095.85135602950003885780461132526397705078125,
1096.46164488790009272634051740169525146484375
],
"test_run_times": [
1100.75,
1095.84999999999990905052982270717620849609375,
1096.4600000000000363797880709171295166015625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs"
}
}
},
"ASUS TinkerBoard": {
"value": 1821.049999999999954525264911353588104248046875,
"raw_values": [
1527.25025391579993083723820745944976806640625,
1414.489011049299961086944676935672760009765625,
1407.0128879547000906313769519329071044921875,
1968.442792177200090009137056767940521240234375,
2033.55134510990001217578537762165069580078125,
2575.5730659962000572704710066318511962890625
],
"test_run_times": [
1527.25,
1414.490000000000009094947017729282379150390625,
1407.009999999999990905052982270717620849609375,
1968.44000000000005456968210637569427490234375,
2033.549999999999954525264911353588104248046875,
2575.57000000000016370904631912708282470703125
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs"
}
}
},
"ODROID-XU4": {
"value": 574.1100000000000136424205265939235687255859375,
"raw_values": [
574.8418240547199502543662674725055694580078125,
573.6773431301099890333716757595539093017578125,
573.80122399330002735950984060764312744140625
],
"test_run_times": [
574.8400000000000318323145620524883270263671875,
573.6799999999999499777914024889469146728515625,
573.799999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
},
"ODROID-N2": {
"value": 73.1099999999999994315658113919198513031005859375,
"raw_values": [
73.15295290947000239611952565610408782958984375,
73.0832290649409941352132591418921947479248046875,
73.0926630496980038742549368180334568023681640625
],
"test_run_times": [
73.150000000000005684341886080801486968994140625,
73.0799999999999982946974341757595539093017578125,
73.090000000000003410605131648480892181396484375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
},
"ODROID-C2": {
"value": 125.81000000000000227373675443232059478759765625,
"raw_values": [
126.3935611248000014938952517695724964141845703125,
125.4282901287100031595400650985538959503173828125,
125.6052250862099981532082892954349517822265625
],
"test_run_times": [
126.3900000000000005684341886080801486968994140625,
125.43000000000000682121026329696178436279296875,
125.599999999999994315658113919198513031005859375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil"
}
}
}
}
},
"d0b255329d568da7a59b3c44910811bf4585f971": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=googlenet.prototxt --int8 --batch=4",
"description": "Performance \/ Cost - Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.1499999999999999944488848768742172978818416595458984375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.190000000000000002220446049250313080847263336181640625,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.88000000000000000444089209850062616169452667236328125,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.479999999999999982236431605997495353221893310546875,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"67d27a63eb3e224a82072af5de259fe03602eef8": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet50_224x224.prototxt --int8 --batch=32",
"description": "Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 47.14999999999999857891452847979962825775146484375,
"raw_values": [
47.15919999999999845385900698602199554443359375,
47.275700000000000500222085975110530853271484375,
47.00659999999999882902557146735489368438720703125
],
"test_run_times": [
169.719999999999998863131622783839702606201171875,
169.18000000000000682121026329696178436279296875,
170.25
]
},
"Jetson TX2 Max-P": {
"value": 59.68999999999999772626324556767940521240234375,
"raw_values": [
59.7417999999999977944753482006490230560302734375,
59.62219999999999942019712761975824832916259765625,
59.70049999999999812416717759333550930023193359375
],
"test_run_times": [
130.8600000000000136424205265939235687255859375,
131.349999999999994315658113919198513031005859375,
130.80000000000001136868377216160297393798828125
]
},
"Jetson AGX Xavier": {
"value": 1215.079999999999927240423858165740966796875,
"raw_values": [
1214.640000000000100044417195022106170654296875,
1215.5,
1215.09999999999990905052982270717620849609375
],
"test_run_times": [
86.150000000000005684341886080801486968994140625,
85.900000000000005684341886080801486968994140625,
85.8900000000000005684341886080801486968994140625
]
},
"Jetson Nano": {
"value": 25.0799999999999982946974341757595539093017578125,
"raw_values": [
25.05890000000000128466126625426113605499267578125,
24.98010000000000019326762412674725055694580078125,
25.1875
],
"test_run_times": [
264.779999999999972715158946812152862548828125,
265,
264.81999999999999317878973670303821563720703125
]
}
}
},
"339e40cceb101e61d0be2f6fbfb4d5950330f5bb": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet152_N2.prototxt --int8 --batch=4",
"description": "Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 14.5,
"raw_values": [
14.798899999999999721467247582040727138519287109375,
14.426899999999999835154085303656756877899169921875,
14.288199999999999789679350215010344982147216796875
],
"test_run_times": [
258.05000000000001136868377216160297393798828125,
261.1100000000000136424205265939235687255859375,
258.41000000000002501110429875552654266357421875
]
},
"Jetson TX2 Max-P": {
"value": 18.28999999999999914734871708787977695465087890625,
"raw_values": [
18.457699999999999107558323885314166545867919921875,
18.385600000000000164845914696343243122100830078125,
18.021300000000000096633812063373625278472900390625
],
"test_run_times": [
203.400000000000005684341886080801486968994140625,
202.93000000000000682121026329696178436279296875,
206.280000000000001136868377216160297393798828125
]
},
"Jetson AGX Xavier": {
"value": 372.73000000000001818989403545856475830078125,
"raw_values": [
375.59399999999999408828443847596645355224609375,
372.50200000000000954969436861574649810791015625,
370.09600000000000363797880709171295166015625
],
"test_run_times": [
187.1100000000000136424205265939235687255859375,
186.280000000000001136868377216160297393798828125,
185.729999999999989768184605054557323455810546875
]
},
"Jetson Nano": {
"value": 7.7599999999999997868371792719699442386627197265625,
"raw_values": [
7.8036399999999996879296304541639983654022216796875,
7.71499000000000023646862246096134185791015625,
7.752250000000000085265128291212022304534912109375
],
"test_run_times": [
298.18000000000000682121026329696178436279296875,
250.56000000000000227373675443232059478759765625,
251.900000000000005684341886080801486968994140625,
304.23000000000001818989403545856475830078125,
302.80000000000001136868377216160297393798828125
]
}
}
},
"cb40a7b62d1f650c29bc656cc0056262d30cfa5a": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet50_224x224.prototxt --int8 --batch=4",
"description": "Neural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 39.14999999999999857891452847979962825775146484375,
"raw_values": [
39.90339999999999776036929688416421413421630859375,
37.87559999999999860165189602412283420562744140625,
39.66960000000000263753463514149188995361328125
],
"test_run_times": [
94.1200000000000045474735088646411895751953125,
95.31000000000000227373675443232059478759765625,
93.7000000000000028421709430404007434844970703125
]
},
"Jetson TX2 Max-P": {
"value": 49.969999999999998863131622783839702606201171875,
"raw_values": [
47.91510000000000246700437855906784534454345703125,
50.00489999999999923829818726517260074615478515625,
51.78659999999999996589394868351519107818603515625,
50.16599999999999681676854379475116729736328125
],
"test_run_times": [
71.81999999999999317878973670303821563720703125,
72.2399999999999948840923025272786617279052734375,
73.4200000000000017053025658242404460906982421875,
70.9599999999999937472239253111183643341064453125
]
},
"Jetson AGX Xavier": {
"value": 902.779999999999972715158946812152862548828125,
"raw_values": [
902.39499999999998181010596454143524169921875,
899.761999999999943611328490078449249267578125,
906.1789999999999736246536485850811004638671875
],
"test_run_times": [
68.780000000000001136868377216160297393798828125,
68.4500000000000028421709430404007434844970703125,
68.3299999999999982946974341757595539093017578125
]
},
"Jetson Nano": {
"value": 20.96000000000000085265128291212022304534912109375,
"raw_values": [
21.5320999999999997953636921010911464691162109375,
20.294499999999999317878973670303821563720703125,
21.068000000000001392663762089796364307403564453125
],
"test_run_times": [
108.68999999999999772626324556767940521240234375,
110.7900000000000062527760746888816356658935546875,
111.280000000000001136868377216160297393798828125
]
}
}
},
"15b7d46c131638ab172f2382aff3c4e341e52d5d": {
"identifier": "system\/glmark2-1.0.0",
"title": "GLmark2",
"arguments": "-s 1920x1080",
"description": "Resolution: 1920 x 1080",
"scale": "Score",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 2876,
"test_run_times": [
332.1499999999999772626324556767940521240234375
]
},
"Jetson Nano": {
"value": 646,
"test_run_times": [
336.33999999999997498889570124447345733642578125
]
}
}
},
"529194278ff72e27ddd7331630c154fbb90f3704": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet152_N2.prototxt --fp16 --batch=32",
"description": "Performance \/ Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.05000000000000000277555756156289135105907917022705078125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.070000000000000006661338147750939242541790008544921875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.200000000000000011102230246251565404236316680908203125,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.179999999999999993338661852249060757458209991455078125,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"b68bbb8dad95bcc42226bd6bc0a94540ac506120": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg19_N2.prototxt --fp16 --batch=32",
"description": "Performance \/ Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.05000000000000000277555756156289135105907917022705078125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.1600000000000000033306690738754696212708950042724609375,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"f9cd5811517948df926a44ed4ab033194a3fa8a2": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg16_N2.prototxt --fp16 --batch=4",
"description": "Performance \/ Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.05000000000000000277555756156289135105907917022705078125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.1600000000000000033306690738754696212708950042724609375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.14000000000000001332267629550187848508358001708984375,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"a38bee38a724240b053fd80403ae86d65135f4dd": {
"title": "CUDA Mini-Nbody",
"app_version": "2015-11-10",
"arguments": "dollar comparison shmoo-cuda-nbody-orig.sh",
"description": "Performance \/ Cost - Test: Original",
"scale": "(NBody^2)\/s Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.01000000000000000020816681711721685132943093776702880859375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.01000000000000000020816681711721685132943093776702880859375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"3459b1afaeb94ce892e8e3adf74ddf2f2e779ffe": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg19_N2.prototxt --int8 --batch=32",
"description": "Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 12.589999999999999857891452847979962825775146484375,
"raw_values": [
12.5342000000000002302158463862724602222442626953125,
12.6257000000000001449507180950604379177093505859375,
12.6030999999999995253574525122530758380889892578125
],
"test_run_times": [
495.51999999999998181010596454143524169921875,
501.98000000000001818989403545856475830078125,
500.31999999999999317878973670303821563720703125
]
},
"Jetson TX2 Max-P": {
"value": 15.9199999999999999289457264239899814128875732421875,
"raw_values": [
15.9486000000000007759126674500294029712677001953125,
16.00189999999999912461134954355657100677490234375,
15.8117000000000000881072992342524230480194091796875
],
"test_run_times": [
375.1399999999999863575794734060764312744140625,
380.56999999999999317878973670303821563720703125,
382.68999999999999772626324556767940521240234375
]
},
"Jetson AGX Xavier": {
"value": 394.66000000000002501110429875552654266357421875,
"raw_values": [
394.46499999999997498889570124447345733642578125,
395.1109999999999899955582804977893829345703125,
394.3990000000000009094947017729282379150390625
],
"test_run_times": [
114.43000000000000682121026329696178436279296875,
114.9800000000000039790393202565610408782958984375,
114.7000000000000028421709430404007434844970703125
]
}
}
},
"4590cf503d339fceedbdcf86194ebeace7592a18": {
"title": "OpenCV Benchmark",
"app_version": "3.3.0",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - ",
"scale": "Seconds x Dollar",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 295307,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 177304,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 166272,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 26832.9599999999991268850862979888916015625,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 95.900000000000005684341886080801486968994140625,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ODROID-XU4": {
"value": 32283.4000000000014551915228366851806640625,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 15786.100000000000363797880709171295166015625,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"ba04c2f7afd4f150bdcf4cce9c42a7879cc530ae": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=googlenet.prototxt --int8 --batch=32",
"description": "Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 104,
"raw_values": [
103.6809999999999973852027324028313159942626953125,
103.7549999999999954525264911353588104248046875,
103.513000000000005229594535194337368011474609375
],
"test_run_times": [
136.099999999999994315658113919198513031005859375,
136.93000000000000682121026329696178436279296875,
136.490000000000009094947017729282379150390625
]
},
"Jetson TX2 Max-P": {
"value": 130,
"raw_values": [
131.413999999999987267074175179004669189453125,
128.84800000000001318767317570745944976806640625,
130.082999999999998408384271897375583648681640625
],
"test_run_times": [
103.5400000000000062527760746888816356658935546875,
105.2999999999999971578290569595992565155029296875,
104.9200000000000017053025658242404460906982421875
]
},
"Jetson AGX Xavier": {
"value": 1693,
"raw_values": [
1700.279999999999972715158946812152862548828125,
1675.819999999999936335370875895023345947265625,
1703.420000000000072759576141834259033203125
],
"test_run_times": [
75.7699999999999960209606797434389591217041015625,
75.75,
75.81000000000000227373675443232059478759765625
]
},
"Jetson Nano": {
"value": 55.659999999999996589394868351519107818603515625,
"raw_values": [
55.296999999999997044142219237983226776123046875,
55.893000000000000682121026329696178436279296875,
55.77550000000000096633812063373625278472900390625
],
"test_run_times": [
203.030000000000001136868377216160297393798828125,
203.650000000000005684341886080801486968994140625,
202.580000000000012505552149377763271331787109375
]
}
}
},
"6015656bca606b58020bde345a5fb2195d5b32f4": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg16_N2.prototxt --int8 --batch=32",
"description": "Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 15.78999999999999914734871708787977695465087890625,
"raw_values": [
15.8100000000000004973799150320701301097869873046875,
15.762100000000000221689333557151257991790771484375,
15.791399999999999437250153278000652790069580078125
],
"test_run_times": [
418.81999999999999317878973670303821563720703125,
420.6399999999999863575794734060764312744140625,
417.259999999999990905052982270717620849609375
]
},
"Jetson TX2 Max-P": {
"value": 19.910000000000000142108547152020037174224853515625,
"raw_values": [
19.83129999999999881765688769519329071044921875,
19.987899999999999778310666442848742008209228515625,
19.9144000000000005456968210637569427490234375
],
"test_run_times": [
317.20999999999997953636921010911464691162109375,
316.029999999999972715158946812152862548828125,
310.81000000000000227373675443232059478759765625
]
},
"Jetson AGX Xavier": {
"value": 475.07999999999998408384271897375583648681640625,
"raw_values": [
475.19499999999999317878973670303821563720703125,
474.87700000000000954969436861574649810791015625,
475.15399999999999636202119290828704833984375
],
"test_run_times": [
98.8299999999999982946974341757595539093017578125,
99.1400000000000005684341886080801486968994140625,
99.099999999999994315658113919198513031005859375
]
}
}
},
"6dcdbecc127a3f685e5587e064451f473c249092": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg16_N2.prototxt --fp16 --batch=32",
"description": "Performance \/ Cost - Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.05000000000000000277555756156289135105907917022705078125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.059999999999999997779553950749686919152736663818359375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.190000000000000002220446049250313080847263336181640625,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"96dfa077460ee155ee12def2218c9180258c63e2": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=AlexNet_N2.prototxt --int8 --batch=4",
"description": "Performance \/ Cost - Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.25,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.309999999999999997779553950749686919152736663818359375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.88000000000000000444089209850062616169452667236328125,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.84999999999999997779553950749686919152736663818359375,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"b596ad2821ca761e738dc9627cac4d8a4db415be": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet50_224x224.prototxt --fp16 --batch=32",
"description": "Performance \/ Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.14000000000000001332267629550187848508358001708984375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.190000000000000002220446049250313080847263336181640625,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.4899999999999999911182158029987476766109466552734375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.4699999999999999733546474089962430298328399658203125,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"f4fd1ccfd5774d4d4be56a3b35c894c74ae40b5a": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet50_224x224.prototxt --fp16 --batch=4",
"description": "Performance \/ Cost - Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.11999999999999999555910790149937383830547332763671875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.1499999999999999944488848768742172978818416595458984375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.419999999999999984456877655247808434069156646728515625,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.409999999999999975575093458246556110680103302001953125,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"c48175c21badff9d0c1f1927581137d564120d7f": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet152_N2.prototxt --fp16 --batch=4",
"description": "Performance \/ Cost - Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.05000000000000000277555756156289135105907917022705078125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.059999999999999997779553950749686919152736663818359375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.1700000000000000122124532708767219446599483489990234375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.1600000000000000033306690738754696212708950042724609375,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"b4ada7fbbbae9e1a7275cac44a834910447fda24": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=googlenet.prototxt --fp16 --batch=32",
"description": "Performance \/ Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.39000000000000001332267629550187848508358001708984375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.770000000000000017763568394002504646778106689453125,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 1,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"982a57084c4ac4e4373ae40af5635f5d60ab2b44": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=AlexNet_N2.prototxt --fp16 --batch=4",
"description": "Performance \/ Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.35999999999999998667732370449812151491641998291015625,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.440000000000000002220446049250313080847263336181640625,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.92000000000000003996802888650563545525074005126953125,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 1.189999999999999946709294817992486059665679931640625,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"1ff850f15978926d985cc8be3f235a316964633e": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=AlexNet_N2.prototxt --fp16 --batch=32",
"description": "Performance \/ Cost - Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.61999999999999999555910790149937383830547332763671875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.770000000000000017763568394002504646778106689453125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 1.5700000000000000621724893790087662637233734130859375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 2.029999999999999804600747665972448885440826416015625,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"3d9675a412c7797f29cc34b4af71b9809187412e": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg19_N2.prototxt --fp16 --batch=4",
"description": "Performance \/ Cost - Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.13000000000000000444089209850062616169452667236328125,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.11999999999999999555910790149937383830547332763671875,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"ccec7c249d21ca32ca3e3c078b6dcab278ef81c9": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=googlenet.prototxt --fp16 --batch=4",
"description": "Performance \/ Cost - Neural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.2600000000000000088817841970012523233890533447265625,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.330000000000000015543122344752191565930843353271484375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.60999999999999998667732370449812151491641998291015625,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.83999999999999996891375531049561686813831329345703125,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"da982b37c03303bf01c36fae13020b4b1dbefe8b": {
"identifier": "system\/tesseract-ocr-1.0.1",
"title": "Tesseract OCR",
"app_version": "4.0.0-beta.1",
"description": "Time To OCR 7 Images",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 71.93999999999999772626324556767940521240234375,
"raw_values": [
73.57225489616399727310636080801486968994140625,
71.7294600009920060301737976260483264923095703125,
70.5155119895940032392900320701301097869873046875
],
"test_run_times": [
73.56999999999999317878973670303821563720703125,
71.7300000000000039790393202565610408782958984375,
70.5199999999999960209606797434389591217041015625
]
},
"Jetson Nano": {
"value": 132.669999999999987494447850622236728668212890625,
"raw_values": [
135.451830148699997380390414036810398101806640625,
132.270964860920003047795034945011138916015625,
130.2892119884500061743892729282379150390625
],
"test_run_times": [
135.44999999999998863131622783839702606201171875,
132.270000000000010231815394945442676544189453125,
130.289999999999992041921359486877918243408203125
]
},
"ODROID-XU4": {
"value": 180.659999999999996589394868351519107818603515625,
"raw_values": [
180.560191869740009451561491005122661590576171875,
183.090738058090011008971487171947956085205078125,
178.316243171689990276718162931501865386962890625
],
"test_run_times": [
180.56000000000000227373675443232059478759765625,
183.090000000000003410605131648480892181396484375,
178.31999999999999317878973670303821563720703125
]
},
"ODROID-N2": {
"value": 110.7300000000000039790393202565610408782958984375,
"raw_values": [
110.80505585669999391029705293476581573486328125,
110.7485659122500010198564268648624420166015625,
110.6498508453399978179731988348066806793212890625
],
"test_run_times": [
110.7999999999999971578290569595992565155029296875,
110.75,
110.650000000000005684341886080801486968994140625
]
},
"ODROID-C2": {
"value": 220.43999999999999772626324556767940521240234375,
"raw_values": [
218.9887728691099937350372783839702606201171875,
221.978467941280001696213730610907077789306640625,
220.361402034760004653435316868126392364501953125
],
"test_run_times": [
218.990000000000009094947017729282379150390625,
221.979999999999989768184605054557323455810546875,
220.3600000000000136424205265939235687255859375
]
}
}
},
"e8c63ab13c1f072076439268a484c19776878739": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet152_N2.prototxt --int8 --batch=32",
"description": "Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 17.3599999999999994315658113919198513031005859375,
"raw_values": [
17.367999999999998550492819049395620822906494140625,
17.35889999999999844249032321386039257049560546875,
17.35119999999999862438926356844604015350341796875
],
"test_run_times": [
452.17000000000001591615728102624416351318359375,
453.3899999999999863575794734060764312744140625,
452.05000000000001136868377216160297393798828125
]
},
"Jetson TX2 Max-P": {
"value": 22.07000000000000028421709430404007434844970703125,
"raw_values": [
22.115600000000000591171556152403354644775390625,
22.04899999999999948840923025272786617279052734375,
22.03099999999999880628820392303168773651123046875
],
"test_run_times": [
352,
351.990000000000009094947017729282379150390625,
352.44999999999998863131622783839702606201171875
]
},
"Jetson AGX Xavier": {
"value": 493.220000000000027284841053187847137451171875,
"raw_values": [
491.6309999999999718056642450392246246337890625,
493.70800000000002683009370230138301849365234375,
494.307000000000016370904631912708282470703125
],
"test_run_times": [
224.479999999999989768184605054557323455810546875,
223.780000000000001136868377216160297393798828125,
222.789999999999992041921359486877918243408203125
]
}
}
},
"67b2144742880d17924fe97ae6c34614774630e4": {
"title": "Rust Prime Benchmark",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - Prime Number Test To 200,000,000",
"scale": "Seconds x Dollar",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 64096.550000000002910383045673370361328125,
"details": {
"install-footnote": "$499 reported cost."
}
},
"Jetson TX2 Max-Q": {
"value": 101979.75,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 62871.0400000000008731149137020111083984375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 42048.6299999999973806552588939666748046875,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 14868.809999999999490682967007160186767578125,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 38419.1500000000014551915228366851806640625,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ASUS TinkerBoard": {
"value": 120189.300000000002910383045673370361328125,
"details": {
"install-footnote": "$66 reported cost."
}
},
"ODROID-XU4": {
"value": 35594.8199999999997089616954326629638671875,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 4748.489999999999781721271574497222900390625,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"80109c6799e9c85b803cf714ef07340430af75f4": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=AlexNet_N2.prototxt --int8 --batch=32",
"description": "Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 237,
"raw_values": [
235.62299999999999045030563138425350189208984375,
235.7069999999999936335370875895023345947265625,
239.83899999999999863575794734060764312744140625
],
"test_run_times": [
69.909999999999996589394868351519107818603515625,
69.3799999999999954525264911353588104248046875,
72.06000000000000227373675443232059478759765625
]
},
"Jetson TX2 Max-P": {
"value": 301,
"raw_values": [
301.86399999999997589839040301740169525146484375,
300.93000000000000682121026329696178436279296875,
300.06099999999997862687450833618640899658203125
],
"test_run_times": [
49.2999999999999971578290569595992565155029296875,
48.17999999999999971578290569595992565155029296875,
48.909999999999996589394868351519107818603515625
]
},
"Jetson AGX Xavier": {
"value": 3143,
"raw_values": [
3142.28000000000020008883439004421234130859375,
3144.59000000000014551915228366851806640625,
3140.9499999999998181010596454143524169921875
],
"test_run_times": [
25.839999999999999857891452847979962825775146484375,
25.75,
25.699999999999999289457264239899814128875732421875
]
},
"Jetson Nano": {
"value": 128,
"raw_values": [
127.6200000000000045474735088646411895751953125,
127.4719999999999942019712761975824832916259765625,
127.6700000000000017053025658242404460906982421875
],
"test_run_times": [
96.0400000000000062527760746888816356658935546875,
99.2600000000000051159076974727213382720947265625,
96.3299999999999982946974341757595539093017578125
]
}
}
},
"216609e8810730ce380373f32b77b9fdd256bca8": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=googlenet.prototxt --int8 --batch=4",
"description": "Neural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 88.8799999999999954525264911353588104248046875,
"raw_values": [
90.6200999999999936562744551338255405426025390625,
86.2883000000000066620486904866993427276611328125,
89.72010000000000218278728425502777099609375
],
"test_run_times": [
96.650000000000005684341886080801486968994140625,
96.68999999999999772626324556767940521240234375,
97.219999999999998863131622783839702606201171875
]
},
"Jetson TX2 Max-P": {
"value": 113,
"raw_values": [
110.8960000000000007958078640513122081756591796875,
112.155000000000001136868377216160297393798828125,
116.3610000000000042064129956997931003570556640625
],
"test_run_times": [
74.0400000000000062527760746888816356658935546875,
72.2600000000000051159076974727213382720947265625,
73.4800000000000039790393202565610408782958984375
]
},
"Jetson AGX Xavier": {
"value": 1146,
"raw_values": [
1137.319999999999936335370875895023345947265625,
1151.700000000000045474735088646411895751953125,
1148.01999999999998181010596454143524169921875
],
"test_run_times": [
67,
67.0199999999999960209606797434389591217041015625,
67.0100000000000051159076974727213382720947265625
]
},
"Jetson Nano": {
"value": 47.82000000000000028421709430404007434844970703125,
"raw_values": [
46.83070000000000021600499167107045650482177734375,
48.89099999999999823785401531495153903961181640625,
47.7486999999999994770405464805662631988525390625
],
"test_run_times": [
120.5400000000000062527760746888816356658935546875,
123.030000000000001136868377216160297393798828125,
123.599999999999994315658113919198513031005859375
]
}
}
},
"41bff57e26551b3ca67941b82d44a99c576b66a4": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg19_N2.prototxt --int8 --batch=4",
"description": "Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 11.449999999999999289457264239899814128875732421875,
"raw_values": [
11.6594999999999995310417943983338773250579833984375,
11.6930999999999993832489053602330386638641357421875,
10.9885999999999999232613845379091799259185791015625
],
"test_run_times": [
176.530000000000001136868377216160297393798828125,
175.8600000000000136424205265939235687255859375,
167.469999999999998863131622783839702606201171875
]
},
"Jetson TX2 Max-P": {
"value": 14.32000000000000028421709430404007434844970703125,
"raw_values": [
13.6303999999999998493649400188587605953216552734375,
14.3678000000000007929656931082718074321746826171875,
14.80030000000000001136868377216160297393798828125,
14.461999999999999744204615126363933086395263671875
],
"test_run_times": [
118.18000000000000682121026329696178436279296875,
121.8299999999999982946974341757595539093017578125,
121.8799999999999954525264911353588104248046875,
122.7699999999999960209606797434389591217041015625
]
},
"Jetson AGX Xavier": {
"value": 265.81000000000000227373675443232059478759765625,
"raw_values": [
266.11299999999999954525264911353588104248046875,
265.875999999999976353137753903865814208984375,
265.43500000000000227373675443232059478759765625
],
"test_run_times": [
61.280000000000001136868377216160297393798828125,
61.840000000000003410605131648480892181396484375,
62.85000000000000142108547152020037174224853515625
]
}
}
},
"2c80ccc373b691ce7f1a419ea60cdb9118e2b64d": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg16_N2.prototxt --int8 --batch=4",
"description": "Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 14.2400000000000002131628207280300557613372802734375,
"raw_values": [
14.33539999999999992041921359486877918243408203125,
14.5967999999999999971578290569595992565155029296875,
13.4568999999999991956656231195665895938873291015625,
14.397600000000000619593265582807362079620361328125,
14.390399999999999636202119290828704833984375
],
"test_run_times": [
161.94999999999998863131622783839702606201171875,
160.530000000000001136868377216160297393798828125,
154.340000000000003410605131648480892181396484375,
160.30000000000001136868377216160297393798828125,
158.93999999999999772626324556767940521240234375
]
},
"Jetson TX2 Max-P": {
"value": 17.559999999999998721023075631819665431976318359375,
"raw_values": [
16.361200000000000187583282240666449069976806640625,
17.704499999999999459987520822323858737945556640625,
17.70700000000000073896444519050419330596923828125,
17.769999999999999573674358543939888477325439453125,
17.727000000000000312638803734444081783294677734375,
18.106300000000000949285094975493848323822021484375
],
"test_run_times": [
101.18000000000000682121026329696178436279296875,
105.9500000000000028421709430404007434844970703125,
105.56999999999999317878973670303821563720703125,
105.900000000000005684341886080801486968994140625,
110.8599999999999994315658113919198513031005859375,
108.81999999999999317878973670303821563720703125
]
},
"Jetson AGX Xavier": {
"value": 303.779999999999972715158946812152862548828125,
"raw_values": [
303.711000000000012732925824820995330810546875,
303.0049999999999954525264911353588104248046875,
304.6109999999999899955582804977893829345703125
],
"test_run_times": [
53.159999999999996589394868351519107818603515625,
53.6099999999999994315658113919198513031005859375,
52.780000000000001136868377216160297393798828125
]
}
}
},
"065da3dec3a5221619c89e9c634bf201fc0be95c": {
"title": "GLmark2",
"arguments": "dollar comparison -s 1920x1080",
"description": "Performance \/ Cost - Resolution: 1920 x 1080",
"scale": "Score Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 2.20999999999999996447286321199499070644378662109375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 6.53000000000000024868995751603506505489349365234375,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"9179e48466f5b6392081aad5ca3e67b955b8f8ea": {
"identifier": "pts\/opencv-bench-1.0.0",
"title": "OpenCV Benchmark",
"app_version": "3.3.0",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 493,
"raw_values": [
504.220196962359977987944148480892181396484375,
486.66019916533997502483543939888477325439453125,
487.34665894507998018525540828704833984375
],
"test_run_times": [
504.220000000000027284841053187847137451171875,
486.66000000000002501110429875552654266357421875,
487.3500000000000227373675443232059478759765625
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-std=c++11 -rdynamic"
}
}
},
"Jetson TX2 Max-P": {
"value": 296,
"raw_values": [
295.73621296882998876753845252096652984619140625,
295.94987106322997760798898525536060333251953125,
296.6164469718900136285810731351375579833984375
],
"test_run_times": [
295.740000000000009094947017729282379150390625,
295.94999999999998863131622783839702606201171875,
296.6200000000000045474735088646411895751953125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-std=c++11 -rdynamic"
}
}
},
"Jetson AGX Xavier": {
"value": 128,
"raw_values": [
125.2610430717499951924764900468289852142333984375,
130.688613891599999305981327779591083526611328125,
127.530620813370006771947373636066913604736328125
],
"test_run_times": [
125.2600000000000051159076974727213382720947265625,
130.68999999999999772626324556767940521240234375,
127.530000000000001136868377216160297393798828125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-std=c++11 -rdynamic"
}
}
},
"Jetson Nano": {
"value": 271.04000000000002046363078989088535308837890625,
"raw_values": [
304.6334328651399800946819595992565155029296875,
263.82345294952000358534860424697399139404296875,
281.08866310119998388472595252096652984619140625,
271.52301716804998932275339029729366302490234375,
263.16651701926997475311509333550930023193359375,
264.02024912834002634554053656756877899169921875,
265.1501479148899989013443700969219207763671875,
264.3737039566000248669297434389591217041015625,
261.6251811981200035006622783839702606201171875
],
"test_run_times": [
304.6299999999999954525264911353588104248046875,
263.81999999999999317878973670303821563720703125,
281.08999999999997498889570124447345733642578125,
271.51999999999998181010596454143524169921875,
263.17000000000001591615728102624416351318359375,
264.01999999999998181010596454143524169921875,
265.1499999999999772626324556767940521240234375,
264.3700000000000045474735088646411895751953125,
261.6200000000000045474735088646411895751953125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-std=c++11 -rdynamic"
}
}
},
"Raspberry Pi 3 Model B+": {
"value": 2.7400000000000002131628207280300557613372802734375,
"raw_values": [
2.737195968627899933522940045804716646671295166015625
],
"test_run_times": [
2.7400000000000002131628207280300557613372802734375,
0.56999999999999995115018691649311222136020660400390625,
0.479999999999999982236431605997495353221893310546875,
0.479999999999999982236431605997495353221893310546875,
0.479999999999999982236431605997495353221893310546875
]
},
"ODROID-XU4": {
"value": 520.700000000000045474735088646411895751953125,
"raw_values": [
531.301434993740031131892465054988861083984375,
514.9877951145200540850055404007434844970703125,
515.798745870589982587262056767940521240234375
],
"test_run_times": [
531.299999999999954525264911353588104248046875,
514.990000000000009094947017729282379150390625,
515.799999999999954525264911353588104248046875
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-std=c++11 -rdynamic"
}
}
},
"ODROID-N2": {
"value": 243.05000000000001136868377216160297393798828125,
"raw_values": [
242.97086191176998681839904747903347015380859375,
242.65014100075001124423579312860965728759765625,
243.524945020680007701230351813137531280517578125
],
"test_run_times": [
242.969999999999998863131622783839702606201171875,
242.650000000000005684341886080801486968994140625,
243.520000000000010231815394945442676544189453125
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-std=c++11 -rdynamic"
}
}
},
"ODROID-C2": {
"value": 474.3500000000000227373675443232059478759765625,
"raw_values": [
471.06256699561998857461730949580669403076171875,
481.3027830123900230319122783839702606201171875,
470.69004201888998295544297434389591217041015625
],
"test_run_times": [
471.06000000000000227373675443232059478759765625,
481.30000000000001136868377216160297393798828125,
470.68999999999999772626324556767940521240234375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-std=c++11 -rdynamic"
}
}
}
}
},
"360870072c2551b735766d85c1ffe3e85ae29072": {
"title": "TTSIOD 3D Renderer",
"app_version": "2.3b",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - Phong Rendering With Soft-Shadow Mapping",
"scale": "FPS Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 0.0899999999999999966693309261245303787291049957275390625,
"details": {
"install-footnote": "$499 reported cost."
}
},
"Jetson TX2 Max-Q": {
"value": 0.05000000000000000277555756156289135105907917022705078125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.08000000000000000166533453693773481063544750213623046875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.1000000000000000055511151231257827021181583404541015625,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.409999999999999975575093458246556110680103302001953125,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 0.5,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ASUS TinkerBoard": {
"value": 0.320000000000000006661338147750939242541790008544921875,
"details": {
"install-footnote": "$66 reported cost."
}
},
"ODROID-XU4": {
"value": 0.68000000000000004884981308350688777863979339599609375,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 0.88000000000000000444089209850062616169452667236328125,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"90921a3f1cde550773978e5b447edd9df1a96b3d": {
"title": "PyBench",
"app_version": "2018-02-16",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - Total For Average Test Times",
"scale": "Milliseconds x Dollar",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 3163161,
"details": {
"install-footnote": "$499 reported cost."
}
},
"Jetson TX2 Max-Q": {
"value": 5232265,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 3239392,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 3906093,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 701316,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 731955,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ASUS TinkerBoard": {
"value": 759132,
"details": {
"install-footnote": "$66 reported cost."
}
},
"ODROID-XU4": {
"value": 310558,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 339753.4500000000116415321826934814453125,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"d36b901609238be48913386d78ae18d31288e393": {
"title": "7-Zip Compression",
"app_version": "16.02",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - Compress Speed Test",
"scale": "MIPS Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 9.0299999999999993605115378159098327159881591796875,
"details": {
"install-footnote": "$499 reported cost."
}
},
"Jetson TX2 Max-Q": {
"value": 5.5,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 9.339999999999999857891452847979962825775146484375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 14.78999999999999914734871708787977695465087890625,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 40.89999999999999857891452847979962825775146484375,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 57.50999999999999801048033987171947956085205078125,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ASUS TinkerBoard": {
"value": 42.969999999999998863131622783839702606201171875,
"details": {
"install-footnote": "$66 reported cost."
}
},
"ODROID-XU4": {
"value": 66.4500000000000028421709430404007434844970703125,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 91.9200000000000017053025658242404460906982421875,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"7fd03e1b51c6306247ba45f74236b688233f0738": {
"title": "C-Ray",
"app_version": "1.1",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - Total Time - 4K, 16 Rays Per Pixel",
"scale": "Seconds x Dollar",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 375747,
"details": {
"install-footnote": "$499 reported cost."
}
},
"Jetson TX2 Max-Q": {
"value": 520531,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 350415,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 461145,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 91179,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 71050,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ASUS TinkerBoard": {
"value": 113388,
"details": {
"install-footnote": "$66 reported cost."
}
},
"ODROID-XU4": {
"value": 51274,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 31940.4599999999991268850862979888916015625,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"8463714ae2d6b22a51320bec8ce30cb560b589f0": {
"title": "Zstd Compression",
"app_version": "1.3.4",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19",
"scale": "Seconds x Dollar",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 72754.199999999997089616954326629638671875,
"details": {
"install-footnote": "$499 reported cost."
}
},
"Jetson TX2 Max-Q": {
"value": 152026.2000000000116415321826934814453125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 86837.02999999999883584678173065185546875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 103997.9400000000023283064365386962890625,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 12857.129999999999199644662439823150634765625,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 11978.04999999999927240423858165740966796875,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ASUS TinkerBoard": {
"value": 32776.919999999998253770172595977783203125,
"details": {
"install-footnote": "$66 reported cost."
}
},
"ODROID-N2": {
"value": 9875,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"17a5d25b2326963c67dda5a5fea6258ff526f481": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg19_N2.prototxt --int8 --batch=32",
"description": "Performance \/ Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.0200000000000000004163336342344337026588618755340576171875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"be538abedda911f634b156309ab034ad5cb43977": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet152_N2.prototxt --fp16 --batch=32",
"description": "Neural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 32.6700000000000017053025658242404460906982421875,
"raw_values": [
32.80969999999999942019712761975824832916259765625,
32.47590000000000287627699435688555240631103515625,
32.71739999999999781721271574497222900390625
],
"test_run_times": [
374.48000000000001818989403545856475830078125,
378.01999999999998181010596454143524169921875,
373.009999999999990905052982270717620849609375
]
},
"Jetson TX2 Max-P": {
"value": 41.909999999999996589394868351519107818603515625,
"raw_values": [
42.044499999999999317878973670303821563720703125,
41.85979999999999989768184605054557323455810546875,
41.81230000000000046611603465862572193145751953125
],
"test_run_times": [
314.06000000000000227373675443232059478759765625,
316.18000000000000682121026329696178436279296875,
314.6499999999999772626324556767940521240234375
]
},
"Jetson AGX Xavier": {
"value": 259.81999999999999317878973670303821563720703125,
"raw_values": [
260.1499999999999772626324556767940521240234375,
260.00200000000000954969436861574649810791015625,
259.31099999999997862687450833618640899658203125
],
"test_run_times": [
95.2099999999999937472239253111183643341064453125,
95.280000000000001136868377216160297393798828125,
95.25
]
},
"Jetson Nano": {
"value": 17.379999999999999005240169935859739780426025390625,
"raw_values": [
17.387899999999998357225194922648370265960693359375,
17.3703000000000002955857780762016773223876953125,
17.395700000000001494981916039250791072845458984375
],
"test_run_times": [
605.3200000000000500222085975110530853271484375,
603.4099999999999681676854379475116729736328125,
603.4199999999999590727384202182292938232421875
]
}
}
},
"cfb333ef67c7de9cc594bf6fbc84d2f67d1eab5c": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg19_N2.prototxt --fp16 --batch=4",
"description": "Neural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 21.03999999999999914734871708787977695465087890625,
"raw_values": [
20.884699999999998709654391859658062458038330078125,
21.697700000000001097077984013594686985015869140625,
20.53569999999999851070242584683001041412353515625
],
"test_run_times": [
168.1399999999999863575794734060764312744140625,
167,
168.960000000000007958078640513122081756591796875
]
},
"Jetson TX2 Max-P": {
"value": 26.559999999999998721023075631819665431976318359375,
"raw_values": [
26.596599999999998686917024315334856510162353515625,
27.20270000000000010231815394945442676544189453125,
25.87089999999999889723767410032451152801513671875
],
"test_run_times": [
116.590000000000003410605131648480892181396484375,
116.900000000000005684341886080801486968994140625,
117.2699999999999960209606797434389591217041015625
]
},
"Jetson AGX Xavier": {
"value": 172.5,
"raw_values": [
173.429000000000002046363078989088535308837890625,
171.707999999999998408384271897375583648681640625,
172.355999999999994543031789362430572509765625
],
"test_run_times": [
38.60000000000000142108547152020037174224853515625,
38.85000000000000142108547152020037174224853515625,
39.07000000000000028421709430404007434844970703125
]
},
"Jetson Nano": {
"value": 11.589999999999999857891452847979962825775146484375,
"raw_values": [
11.643299999999999982946974341757595539093017578125,
11.5434000000000001051603248924948275089263916015625
],
"test_run_times": [
190.650000000000005684341886080801486968994140625,
189.289999999999992041921359486877918243408203125,
161.80000000000001136868377216160297393798828125,
161.979999999999989768184605054557323455810546875
]
}
}
},
"7693cf4b748fad2c271bcb89164940e4b843357b": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=vgg16_N2.prototxt --fp16 --batch=4",
"description": "Neural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 25.989999999999998436805981327779591083526611328125,
"raw_values": [
26.17320000000000135287336888723075389862060546875,
26.0698000000000007503331289626657962799072265625,
25.734600000000000363797880709171295166015625
],
"test_run_times": [
144.210000000000007958078640513122081756591796875,
150.969999999999998863131622783839702606201171875,
153.009999999999990905052982270717620849609375
]
},
"Jetson TX2 Max-P": {
"value": 32.6400000000000005684341886080801486968994140625,
"raw_values": [
32.143000000000000682121026329696178436279296875,
31.698699999999998766497810720466077327728271484375,
33.98100000000000164845914696343243122100830078125,
32.74770000000000180762071977369487285614013671875
],
"test_run_times": [
106.659999999999996589394868351519107818603515625,
100.2399999999999948840923025272786617279052734375,
103.099999999999994315658113919198513031005859375,
103.5
]
},
"Jetson AGX Xavier": {
"value": 208.759999999999990905052982270717620849609375,
"raw_values": [
208.703000000000002955857780762016773223876953125,
208.96199999999998908606357872486114501953125,
208.62799999999998590283212251961231231689453125
],
"test_run_times": [
37.86999999999999744204615126363933086395263671875,
36.06000000000000227373675443232059478759765625,
36.21000000000000085265128291212022304534912109375
]
},
"Jetson Nano": {
"value": 14.3499999999999996447286321199499070644378662109375,
"raw_values": [
14.36919999999999930651028989814221858978271484375,
14.33109999999999928377292235381901264190673828125
],
"test_run_times": [
86.340000000000003410605131648480892181396484375,
169.210000000000007958078640513122081756591796875,
181.990000000000009094947017729282379150390625,
169.3799999999999954525264911353588104248046875,
78.93999999999999772626324556767940521240234375
]
}
}
},
"1f94a2e9a65192b4946503caa902859578134118": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet152_N2.prototxt --int8 --batch=4",
"description": "Performance \/ Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.0200000000000000004163336342344337026588618755340576171875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.289999999999999980015985556747182272374629974365234375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.08000000000000000166533453693773481063544750213623046875,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"fb5a83200724bcb843d2bbac1654db0dba57af52": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet152_N2.prototxt --fp16 --batch=4",
"description": "Neural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 27.339999999999999857891452847979962825775146484375,
"raw_values": [
27.98400000000000176214598468504846096038818359375,
26.84779999999999944293449516408145427703857421875,
27.1895999999999986584953148849308490753173828125
],
"test_run_times": [
244.169999999999987494447850622236728668212890625,
241.729999999999989768184605054557323455810546875,
241.43000000000000682121026329696178436279296875
]
},
"Jetson TX2 Max-P": {
"value": 35.1099999999999994315658113919198513031005859375,
"raw_values": [
35.60560000000000258069121628068387508392333984375,
34.41449999999999675992512493394315242767333984375,
35.30449999999999732835931354202330112457275390625
],
"test_run_times": [
214.280000000000001136868377216160297393798828125,
212.759999999999990905052982270717620849609375,
211.669999999999987494447850622236728668212890625
]
},
"Jetson AGX Xavier": {
"value": 224.18999999999999772626324556767940521240234375,
"raw_values": [
224.335000000000007958078640513122081756591796875,
223.74700000000001409716787748038768768310546875,
224.477000000000003865352482534945011138916015625
],
"test_run_times": [
53.86999999999999744204615126363933086395263671875,
53.42999999999999971578290569595992565155029296875,
53.25
]
},
"Jetson Nano": {
"value": 15.7599999999999997868371792719699442386627197265625,
"raw_values": [
15.8285999999999997811528373858891427516937255859375,
15.708600000000000562749846721999347209930419921875,
15.7310999999999996390442902338691055774688720703125
],
"test_run_times": [
268.720000000000027284841053187847137451171875,
271.6399999999999863575794734060764312744140625,
268.6200000000000045474735088646411895751953125
]
}
}
},
"c7c3192ea0d426040784c80ca79fc0d0f2ade4ba": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet50_224x224.prototxt --fp16 --batch=32",
"description": "Neural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 86.0799999999999982946974341757595539093017578125,
"raw_values": [
84.38970000000000482032191939651966094970703125,
87.207999999999998408384271897375583648681640625,
86.631699999999995043253875337541103363037109375
],
"test_run_times": [
143.159999999999996589394868351519107818603515625,
142.25,
141.93999999999999772626324556767940521240234375
]
},
"Jetson TX2 Max-P": {
"value": 111,
"raw_values": [
110.7600000000000051159076974727213382720947265625,
112.798000000000001818989403545856475830078125,
108.5720000000000027284841053187847137451171875
],
"test_run_times": [
117.2999999999999971578290569595992565155029296875,
117.650000000000005684341886080801486968994140625,
118.0100000000000051159076974727213382720947265625
]
},
"Jetson AGX Xavier": {
"value": 636,
"raw_values": [
637.7649999999999863575794734060764312744140625,
636.5629999999999881765688769519329071044921875,
633.634999999999990905052982270717620849609375
],
"test_run_times": [
39.1099999999999994315658113919198513031005859375,
39.1700000000000017053025658242404460906982421875,
39.340000000000003410605131648480892181396484375
]
},
"Jetson Nano": {
"value": 46.50999999999999801048033987171947956085205078125,
"raw_values": [
46.546300000000002228262019343674182891845703125,
46.484499999999997044142219237983226776123046875,
46.497399999999998954081092961132526397705078125
],
"test_run_times": [
238.469999999999998863131622783839702606201171875,
231.400000000000005684341886080801486968994140625,
231.409999999999996589394868351519107818603515625
]
}
}
},
"3ff1dc362a1f52a48bd733e68bcfc87a809d8014": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=AlexNet_N2.prototxt --int8 --batch=4",
"description": "Neural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 148,
"raw_values": [
148.099999999999994315658113919198513031005859375,
149.832999999999998408384271897375583648681640625,
146.674000000000006593836587853729724884033203125
],
"test_run_times": [
56.06000000000000227373675443232059478759765625,
60.590000000000003410605131648480892181396484375,
60.1700000000000017053025658242404460906982421875
]
},
"Jetson TX2 Max-P": {
"value": 184,
"raw_values": [
180.90199999999998681232682429254055023193359375,
175.707999999999998408384271897375583648681640625,
192.25299999999998590283212251961231231689453125,
184.532999999999987039700499735772609710693359375,
187.07499999999998863131622783839702606201171875
],
"test_run_times": [
38.6400000000000005684341886080801486968994140625,
38.25999999999999801048033987171947956085205078125,
38.38000000000000255795384873636066913604736328125,
39.0499999999999971578290569595992565155029296875,
39.72999999999999687361196265555918216705322265625
]
},
"Jetson AGX Xavier": {
"value": 1143,
"raw_values": [
1147.079999999999927240423858165740966796875,
1138.1199999999998908606357872486114501953125,
1142.920000000000072759576141834259033203125
],
"test_run_times": [
22.120000000000000994759830064140260219573974609375,
22.089999999999999857891452847979962825775146484375,
22.1400000000000005684341886080801486968994140625
]
},
"Jetson Nano": {
"value": 84.099999999999994315658113919198513031005859375,
"raw_values": [
82.8753999999999990677679306827485561370849609375,
84.040899999999993497112882323563098907470703125,
85.38200000000000500222085975110530853271484375
],
"test_run_times": [
71.6400000000000005684341886080801486968994140625,
68.1400000000000005684341886080801486968994140625,
68.18000000000000682121026329696178436279296875
]
}
}
},
"658a794bc6631ee1b360bf5e6f4a5fb1d1f3ffef": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=ResNet50_224x224.prototxt --fp16 --batch=4",
"description": "Neural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 72.0100000000000051159076974727213382720947265625,
"raw_values": [
77.5964000000000027057467377744615077972412109375,
74.5250999999999947931428323499858379364013671875,
72.019800000000003592504072003066539764404296875,
66.2720000000000055706550483591854572296142578125,
69.8649999999999948840923025272786617279052734375,
75.83899999999999863575794734060764312744140625,
74.3195999999999941110218060202896595001220703125,
70.7943000000000068894223659299314022064208984375,
69.4287000000000062982508097775280475616455078125,
73.154799999999994497557054273784160614013671875,
65.28010000000000445652403868734836578369140625,
74.99639999999999417923390865325927734375
],
"test_run_times": [
82.469999999999998863131622783839702606201171875,
82.4899999999999948840923025272786617279052734375,
82.4899999999999948840923025272786617279052734375,
84,
85.9200000000000017053025658242404460906982421875,
83.150000000000005684341886080801486968994140625,
84.31999999999999317878973670303821563720703125,
84.030000000000001136868377216160297393798828125,
84.68999999999999772626324556767940521240234375,
82.1200000000000045474735088646411895751953125,
86.4899999999999948840923025272786617279052734375,
84.4500000000000028421709430404007434844970703125
]
},
"Jetson TX2 Max-P": {
"value": 92.280000000000001136868377216160297393798828125,
"raw_values": [
94.1441999999999978854248183779418468475341796875,
86.299499999999994770405464805662631988525390625,
95.970900000000000318323145620524883270263671875,
91.92189999999999372448655776679515838623046875,
95.8238000000000056388671509921550750732421875,
89.0835000000000007958078640513122081756591796875,
89.938999999999992951416061259806156158447265625,
89.33400000000000318323145620524883270263671875,
85.365399999999993951860233210027217864990234375,
91.5063999999999992951416061259806156158447265625,
100.018000000000000682121026329696178436279296875,
97.9282999999999930196281638927757740020751953125
],
"test_run_times": [
72.18000000000000682121026329696178436279296875,
74.31999999999999317878973670303821563720703125,
71.5799999999999982946974341757595539093017578125,
73.7099999999999937472239253111183643341064453125,
72.1700000000000017053025658242404460906982421875,
74.400000000000005684341886080801486968994140625,
75.159999999999996589394868351519107818603515625,
73.780000000000001136868377216160297393798828125,
73.4200000000000017053025658242404460906982421875,
73.93000000000000682121026329696178436279296875,
74.18999999999999772626324556767940521240234375,
72.7399999999999948840923025272786617279052734375
]
},
"Jetson AGX Xavier": {
"value": 547.5,
"raw_values": [
547.4850000000000136424205265939235687255859375,
547.4579999999999699866748414933681488037109375,
547.55999999999994543031789362430572509765625
],
"test_run_times": [
21.780000000000001136868377216160297393798828125,
21.78999999999999914734871708787977695465087890625,
21.739999999999998436805981327779591083526611328125
]
},
"Jetson Nano": {
"value": 41.03999999999999914734871708787977695465087890625,
"raw_values": [
40.826099999999996725819073617458343505859375,
41.542900000000003046807250939309597015380859375,
40.74900000000000233058017329312860965728759765625
],
"test_run_times": [
100.68999999999999772626324556767940521240234375,
101.909999999999996589394868351519107818603515625,
102.43999999999999772626324556767940521240234375
]
}
}
},
"6edda31fc755886c3a25e900f7c5a997362141fb": {
"title": "Tesseract OCR",
"app_version": "4.0.0-beta.1",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - Time To OCR 7 Images",
"scale": "Seconds x Dollar",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 93450.0599999999976716935634613037109375,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 13134.329999999999927240423858165740966796875,
"details": {
"install-footnote": "$99 reported cost."
}
},
"ODROID-XU4": {
"value": 11200.920000000000072759576141834259033203125,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 7191.90999999999985448084771633148193359375,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"93fa9fb665b247c1f1bcd916f930e753aa04b9ab": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet152_N2.prototxt --int8 --batch=32",
"description": "Performance \/ Cost - Neural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.040000000000000000832667268468867405317723751068115234375,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.38000000000000000444089209850062616169452667236328125,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"fa642c8047a5894ea2adc4ccf66682eb7dfd4172": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg16_N2.prototxt --int8 --batch=32",
"description": "Performance \/ Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.36999999999999999555910790149937383830547332763671875,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"d6072d322f55f44da69cad2908f1cfb4cf261b22": {
"title": "FLAC Audio Encoding",
"app_version": "1.3.2",
"arguments": "dollar comparison ",
"description": "Performance \/ Cost - WAV To FLAC",
"scale": "Seconds x Dollar",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 39520.800000000002910383045673370361328125,
"details": {
"install-footnote": "$499 reported cost."
}
},
"Jetson TX2 Max-Q": {
"value": 62463.72000000000116415321826934814453125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 38976.9300000000002910383045673370361328125,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 70756.52999999999883584678173065185546875,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 10372.22999999999956344254314899444580078125,
"details": {
"install-footnote": "$99 reported cost."
}
},
"Raspberry Pi 3 Model B+": {
"value": 11883.54999999999927240423858165740966796875,
"details": {
"install-footnote": "$35 reported cost."
}
},
"ASUS TinkerBoard": {
"value": 18417.29999999999927240423858165740966796875,
"details": {
"install-footnote": "$66 reported cost."
}
},
"ODROID-XU4": {
"value": 6015.8599999999996725819073617458343505859375,
"details": {
"install-footnote": "$62 reported cost."
}
},
"ODROID-N2": {
"value": 6208.5699999999997089616954326629638671875,
"details": {
"install-footnote": "$64.95 reported cost."
}
}
}
},
"5f0e5c40d5d5a3200ca19daa01b847919d5d0598": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=ResNet50_224x224.prototxt --int8 --batch=32",
"description": "Performance \/ Cost - Neural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.08000000000000000166533453693773481063544750213623046875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.1000000000000000055511151231257827021181583404541015625,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.939999999999999946709294817992486059665679931640625,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 0.25,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"62b87ae32421055d2f29bd48f484454c94961b85": {
"identifier": "pts\/cuda-mini-nbody-1.1.0",
"title": "CUDA Mini-Nbody",
"app_version": "2015-11-10",
"arguments": "shmoo-cuda-nbody-orig.sh",
"description": "Test: Original",
"scale": "(NBody^2)\/s",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 6.769999999999999573674358543939888477325439453125,
"raw_values": [
6.7080000000000001847411112976260483264923095703125,
6.80199999999999960209606797434389591217041015625,
6.79600000000000026290081223123706877231597900390625
],
"test_run_times": [
544.8899999999999863575794734060764312744140625,
538.5,
538.8600000000000136424205265939235687255859375
]
},
"Jetson TX2 Max-P": {
"value": 8.2400000000000002131628207280300557613372802734375,
"raw_values": [
8.2400000000000002131628207280300557613372802734375,
8.227000000000000312638803734444081783294677734375,
8.2479999999999993320898283855058252811431884765625
],
"test_run_times": [
444.1499999999999772626324556767940521240234375,
443.6000000000000227373675443232059478759765625,
443.18000000000000682121026329696178436279296875
]
},
"Jetson AGX Xavier": {
"value": 47.13000000000000255795384873636066913604736328125,
"raw_values": [
47.1340000000000003410605131648480892181396484375,
47.12400000000000233058017329312860965728759765625,
47.13499999999999801048033987171947956085205078125
],
"test_run_times": [
81.31000000000000227373675443232059478759765625,
81.06999999999999317878973670303821563720703125,
80.9800000000000039790393202565610408782958984375
]
},
"Jetson Nano": {
"value": 4.07000000000000028421709430404007434844970703125,
"raw_values": [
4.06700000000000017053025658242404460906982421875,
4.06599999999999983657517077517695724964141845703125,
4.08499999999999996447286321199499070644378662109375
],
"test_run_times": [
903,
900.75,
897.8300000000000409272615797817707061767578125
]
}
}
},
"c1a6554183dd77ffb307120fb21400f31e5063cd": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg16_N2.prototxt --int8 --batch=4",
"description": "Performance \/ Cost - Neural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.0200000000000000004163336342344337026588618755340576171875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.0299999999999999988897769753748434595763683319091796875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.2300000000000000099920072216264088638126850128173828125,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"c07fdc8ed629c6ee614d39c4de6d4f7537c542db": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=googlenet.prototxt --fp16 --batch=32",
"description": "Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 179,
"raw_values": [
186.2649999999999863575794734060764312744140625,
174.37799999999998590283212251961231231689453125,
185.7549999999999954525264911353588104248046875,
171.570999999999997953636921010911464691162109375,
174.57499999999998863131622783839702606201171875,
174.056000000000011596057447604835033416748046875,
183.977000000000003865352482534945011138916015625,
183.652999999999991587174008600413799285888671875
],
"test_run_times": [
92.56000000000000227373675443232059478759765625,
94.8299999999999982946974341757595539093017578125,
93.1299999999999954525264911353588104248046875,
94.31999999999999317878973670303821563720703125,
93.219999999999998863131622783839702606201171875,
93.9200000000000017053025658242404460906982421875,
93.1099999999999994315658113919198513031005859375,
93.5799999999999982946974341757595539093017578125
]
},
"Jetson TX2 Max-P": {
"value": 233,
"raw_values": [
223.961000000000012732925824820995330810546875,
237.2160000000000081854523159563541412353515625,
237.674000000000006593836587853729724884033203125
],
"test_run_times": [
80.5400000000000062527760746888816356658935546875,
81.4599999999999937472239253111183643341064453125,
80.4200000000000017053025658242404460906982421875
]
},
"Jetson AGX Xavier": {
"value": 1006,
"raw_values": [
1005.6499999999999772626324556767940521240234375,
1006.3200000000000500222085975110530853271484375,
1005.759999999999990905052982270717620849609375
],
"test_run_times": [
28.940000000000001278976924368180334568023681640625,
28.96000000000000085265128291212022304534912109375,
28.910000000000000142108547152020037174224853515625
]
},
"Jetson Nano": {
"value": 98.93000000000000682121026329696178436279296875,
"raw_values": [
99.0926999999999935653249849565327167510986328125,
99.1556000000000068439476308412849903106689453125,
98.5501000000000004774847184307873249053955078125
],
"test_run_times": [
163.580000000000012505552149377763271331787109375,
161.93000000000000682121026329696178436279296875,
163.979999999999989768184605054557323455810546875
]
}
}
},
"90a46d1b96a81665de452674363af9a8f7cf0dc6": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=AlexNet_N2.prototxt --fp16 --batch=32",
"description": "Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 374,
"raw_values": [
377.9660000000000081854523159563541412353515625,
368.29700000000002546585164964199066162109375,
374.43400000000002592059900052845478057861328125
],
"test_run_times": [
68.4899999999999948840923025272786617279052734375,
68.8799999999999954525264911353588104248046875,
65.4599999999999937472239253111183643341064453125
]
},
"Jetson TX2 Max-P": {
"value": 462,
"raw_values": [
418.288999999999987267074175179004669189453125,
485.3790000000000190993887372314929962158203125,
493.490999999999985448084771633148193359375,
432.30599999999998317434801720082759857177734375,
488.1109999999999899955582804977893829345703125,
441.30099999999998772182152606546878814697265625,
465.48899999999997589839040301740169525146484375,
479.41000000000002501110429875552654266357421875,
435.6979999999999790816218592226505279541015625,
473.93999999999999772626324556767940521240234375,
440.83899999999999863575794734060764312744140625,
489.36799999999999499777914024889469146728515625
],
"test_run_times": [
47.840000000000003410605131648480892181396484375,
47.97999999999999687361196265555918216705322265625,
47.7999999999999971578290569595992565155029296875,
47.68999999999999772626324556767940521240234375,
47.9500000000000028421709430404007434844970703125,
47.49000000000000198951966012828052043914794921875,
49.21000000000000085265128291212022304534912109375,
48.24000000000000198951966012828052043914794921875,
48.21000000000000085265128291212022304534912109375,
46.56000000000000227373675443232059478759765625,
48.39999999999999857891452847979962825775146484375,
48.469999999999998863131622783839702606201171875
]
},
"Jetson AGX Xavier": {
"value": 2038,
"raw_values": [
2037.23000000000001818989403545856475830078125,
2042.30999999999994543031789362430572509765625,
2035.40000000000009094947017729282379150390625
],
"test_run_times": [
20.6700000000000017053025658242404460906982421875,
21.019999999999999573674358543939888477325439453125,
20.14999999999999857891452847979962825775146484375
]
},
"Jetson Nano": {
"value": 201,
"raw_values": [
202.538999999999987267074175179004669189453125,
202.318999999999988403942552395164966583251953125,
197.6589999999999918145476840436458587646484375
],
"test_run_times": [
81.9800000000000039790393202565610408782958984375,
82.1400000000000005684341886080801486968994140625,
84.1400000000000005684341886080801486968994140625
]
}
}
},
"8aec4d6478c08b59ed623347f0d9630a74f1f2d8": {
"title": "NVIDIA TensorRT Inference",
"arguments": "dollar comparison --deploy=vgg19_N2.prototxt --int8 --batch=4",
"description": "Performance \/ Cost - Neural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 0.0200000000000000004163336342344337026588618755340576171875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson TX2 Max-P": {
"value": 0.0200000000000000004163336342344337026588618755340576171875,
"details": {
"install-footnote": "$599 reported cost."
}
},
"Jetson AGX Xavier": {
"value": 0.200000000000000011102230246251565404236316680908203125,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"767b3d1f73919e43506d564b3083ae8c3d37a5b6": {
"title": "LeelaChessZero",
"app_version": "0.20.1",
"arguments": "dollar comparison -b cudnn",
"description": "Performance \/ Cost - Backend: CUDA + cuDNN",
"scale": "Nodes Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 0.729999999999999982236431605997495353221893310546875,
"details": {
"install-footnote": "$1299 reported cost."
}
},
"Jetson Nano": {
"value": 1.4099999999999999200639422269887290894985198974609375,
"details": {
"install-footnote": "$99 reported cost."
}
}
}
},
"ddc6480e22e363fb274d11ff3ae2e864df3e0459": {
"title": "Meta Performance Per Dollar",
"arguments": "Per-Per-Dollar",
"description": "Performance Per Dollar",
"scale": "Performance Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"ODROID-N2": {
"value": 19.1700000000000017053025658242404460906982421875,
"details": {
"install-footnote": "$64.95 reported value. Average value: 1244.91."
}
}
}
},
"b27e58dd9dc5f9438ac5a79fe81123d9b7ab1b7b": {
"title": "LeelaChessZero",
"app_version": "0.20.1",
"arguments": "dollar comparison -b cudnn-fp16",
"description": "Performance \/ Cost - Backend: CUDA + cuDNN FP16",
"scale": "Nodes Per Second Per Dollar",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 1.939999999999999946709294817992486059665679931640625,
"details": {
"install-footnote": "$1299 reported cost."
}
}
}
},
"21ddbc332ea448084e928a78b29d47e6e7c06045": {
"identifier": "pts\/lczero-1.1.1",
"title": "LeelaChessZero",
"app_version": "0.20.1",
"arguments": "-b cudnn-fp16",
"description": "Backend: CUDA + cuDNN FP16",
"scale": "Nodes Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson AGX Xavier": {
"value": 2515.010000000000218278728425502777099609375,
"raw_values": [
2523.19000000000005456968210637569427490234375,
2499.829999999999927240423858165740966796875,
2522.010000000000218278728425502777099609375
],
"test_run_times": [
10.8599999999999994315658113919198513031005859375,
10.949999999999999289457264239899814128875732421875,
10.8599999999999994315658113919198513031005859375
],
"details": {
"compiler-options": {
"compiler-type": "CXX",
"compiler": "g++",
"compiler-options": "-lpthread -lz"
}
}
}
}
},
"32f6380f8c703d3d84bd215727a68137f54f31cb": {
"identifier": "pts\/c-ray-1.2.0",
"title": "C-Ray",
"app_version": "1.1",
"description": "Total Time - 4K, 16 Rays Per Pixel",
"scale": "Seconds",
"proportion": "LIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX1 Max-P": {
"value": 753,
"raw_values": [
741.1789999999999736246536485850811004638671875,
772.972999999999956344254314899444580078125,
743.5330000000000154614099301397800445556640625
],
"test_run_times": [
742.6499999999999772626324556767940521240234375,
774.529999999999972715158946812152862548828125,
745
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"Jetson TX2 Max-Q": {
"value": 869,
"raw_values": [
865.7849999999999681676854379475116729736328125,
870.1739999999999781721271574497222900390625,
870.017000000000052750692702829837799072265625
],
"test_run_times": [
867.8200000000000500222085975110530853271484375,
872.1699999999999590727384202182292938232421875,
872.009999999999990905052982270717620849609375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"Jetson TX2 Max-P": {
"value": 585,
"raw_values": [
977.76099999999996725819073617458343505859375,
533.54700000000002546585164964199066162109375,
534.5919999999999845385900698602199554443359375,
538.3509999999999990905052982270717620849609375,
536.3139999999999645297066308557987213134765625,
533.97100000000000363797880709171295166015625,
548.3310000000000172803993336856365203857421875,
531.980999999999994543031789362430572509765625,
532.462999999999965439201332628726959228515625
],
"test_run_times": [
979.05999999999994543031789362430572509765625,
534.779999999999972715158946812152862548828125,
535.8999999999999772626324556767940521240234375,
539.6000000000000227373675443232059478759765625,
537.6299999999999954525264911353588104248046875,
535.279999999999972715158946812152862548828125,
549.6299999999999954525264911353588104248046875,
533.259999999999990905052982270717620849609375,
533.740000000000009094947017729282379150390625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"Jetson AGX Xavier": {
"value": 355,
"raw_values": [
300.3260000000000218278728425502777099609375,
343.66199999999997771737980656325817108154296875,
364.3319999999999936335370875895023345947265625,
364.6879999999999881765688769519329071044921875,
364.144000000000005456968210637569427490234375,
363.98700000000002319211489520967006683349609375,
364.163999999999987267074175179004669189453125,
363.95999999999997953636921010911464691162109375,
363.7640000000000100044417195022106170654296875
],
"test_run_times": [
300.73000000000001818989403545856475830078125,
344.06999999999999317878973670303821563720703125,
364.8999999999999772626324556767940521240234375,
365.220000000000027284841053187847137451171875,
364.6100000000000136424205265939235687255859375,
364.43999999999999772626324556767940521240234375,
364.6200000000000045474735088646411895751953125,
364.3999999999999772626324556767940521240234375,
364.20999999999997953636921010911464691162109375
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"Jetson Nano": {
"value": 921,
"raw_values": [
921.883000000000038198777474462985992431640625,
920.7089999999999463398125953972339630126953125,
921.0240000000000009094947017729282379150390625
],
"test_run_times": [
923.9299999999999499777914024889469146728515625,
922.9199999999999590727384202182292938232421875,
923.2100000000000363797880709171295166015625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"Raspberry Pi 3 Model B+": {
"value": 2030,
"raw_values": [
2034.332000000000107320374809205532073974609375,
2028.928000000000110958353616297245025634765625,
2025.9110000000000582076609134674072265625
],
"test_run_times": [
2043.660000000000081854523159563541412353515625,
2033.75,
2027.920000000000072759576141834259033203125
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"ASUS TinkerBoard": {
"value": 1718,
"raw_values": [
1673.941000000000030922819860279560089111328125,
1741.49299999999993815436027944087982177734375,
1738.825000000000045474735088646411895751953125
],
"test_run_times": [
1675.609999999999899955582804977893829345703125,
1742.94000000000005456968210637569427490234375,
1741.9600000000000363797880709171295166015625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"ODROID-XU4": {
"value": 827,
"raw_values": [
1020.682000000000016370904631912708282470703125,
859.796000000000049112713895738124847412109375,
781.0739999999999554347596131265163421630859375,
807.3390000000000554791768081486225128173828125,
748.375999999999976353137753903865814208984375,
831.26099999999996725819073617458343505859375,
893.1979999999999790816218592226505279541015625,
753.8260000000000218278728425502777099609375,
747.7830000000000154614099301397800445556640625
],
"test_run_times": [
1026.170000000000072759576141834259033203125,
865.470000000000027284841053187847137451171875,
786.3700000000000045474735088646411895751953125,
812.4099999999999681676854379475116729736328125,
753.1000000000000227373675443232059478759765625,
836.049999999999954525264911353588104248046875,
898.799999999999954525264911353588104248046875,
758.970000000000027284841053187847137451171875,
752.6599999999999681676854379475116729736328125
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"ODROID-N2": {
"value": 492,
"raw_values": [
491.51799999999997226041159592568874359130859375,
492.26799999999997226041159592568874359130859375,
491.5339999999999918145476840436458587646484375
],
"test_run_times": [
492.259999999999990905052982270717620849609375,
493.1200000000000045474735088646411895751953125,
492.3700000000000045474735088646411895751953125
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
},
"ODROID-C2": {
"value": 1535,
"raw_values": [
1535.125999999999976353137753903865814208984375,
1534.615999999999985448084771633148193359375,
1534.7190000000000509317032992839813232421875
],
"test_run_times": [
1537.079999999999927240423858165740966796875,
1536.470000000000027284841053187847137451171875,
1536.65000000000009094947017729282379150390625
],
"details": {
"compiler-options": {
"compiler-type": "CC",
"compiler": "gcc",
"compiler-options": "-lm -lpthread -O3"
}
}
}
}
},
"ef5090e266cec7f3fda55978304f6aa4208d4517": {
"identifier": "system\/tensorrt-inference-1.0.0",
"title": "NVIDIA TensorRT Inference",
"arguments": "--deploy=AlexNet_N2.prototxt --fp16 --batch=4",
"description": "Neural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: Disabled",
"scale": "Images Per Second",
"proportion": "HIB",
"display_format": "BAR_GRAPH",
"results": {
"Jetson TX2 Max-Q": {
"value": 216,
"raw_values": [
202.585000000000007958078640513122081756591796875,
224.229000000000013415046851150691509246826171875,
215.210000000000007958078640513122081756591796875,
217.91100000000000136424205265939235687255859375,
218.576999999999998181010596454143524169921875,
220.181999999999987949195201508700847625732421875
],
"test_run_times": [
54.909999999999996589394868351519107818603515625,
53.5,
56.43999999999999772626324556767940521240234375,
56.57000000000000028421709430404007434844970703125,
53.78999999999999914734871708787977695465087890625,
54.25999999999999801048033987171947956085205078125
]
},
"Jetson TX2 Max-P": {
"value": 264,
"raw_values": [
278.3600000000000136424205265939235687255859375,
222.3410000000000081854523159563541412353515625,
249.777999999999991587174008600413799285888671875,
255.787000000000006139089236967265605926513671875,
277.47300000000001318767317570745944976806640625,
304.0140000000000100044417195022106170654296875,
257.59399999999999408828443847596645355224609375,
228.29599999999999226929503493010997772216796875,
294.2450000000000045474735088646411895751953125,
245.231999999999999317878973670303821563720703125,
299.84600000000000363797880709171295166015625,
253.799000000000006593836587853729724884033203125
],
"test_run_times": [
37.47999999999999687361196265555918216705322265625,
39.8900000000000005684341886080801486968994140625,
37.38000000000000255795384873636066913604736328125,
39.39999999999999857891452847979962825775146484375,
36.35000000000000142108547152020037174224853515625,
38.77000000000000312638803734444081783294677734375,
36.67999999999999971578290569595992565155029296875,
37.78999999999999914734871708787977695465087890625,
37.50999999999999801048033987171947956085205078125,
37.53999999999999914734871708787977695465087890625,
37.82000000000000028421709430404007434844970703125,
39.1700000000000017053025658242404460906982421875
]
},
"Jetson AGX Xavier": {
"value": 1200,
"raw_values": [
1201.4600000000000363797880709171295166015625,
1201.910000000000081854523159563541412353515625,
1196.240000000000009094947017729282379150390625
],
"test_run_times": [
17.92999999999999971578290569595992565155029296875,
17.980000000000000426325641456060111522674560546875,
18.010000000000001563194018672220408916473388671875
]
},
"Jetson Nano": {
"value": 118,
"raw_values": [
120.8010000000000019326762412674725055694580078125,
109.248999999999995225152815692126750946044921875,
113.019000000000005456968210637569427490234375,
127.582999999999998408384271897375583648681640625,
125.3889999999999957935870043002068996429443359375,
114.8990000000000009094947017729282379150390625,
113.58400000000000318323145620524883270263671875,
120.421999999999997044142219237983226776123046875,
118.39199999999999590727384202182292938232421875,
125.582999999999998408384271897375583648681640625,
126.445999999999997953636921010911464691162109375,
104.748999999999995225152815692126750946044921875
],
"test_run_times": [
66.2600000000000051159076974727213382720947265625,
60.52000000000000312638803734444081783294677734375,
57.42999999999999971578290569595992565155029296875,
56.469999999999998863131622783839702606201171875,
57.52000000000000312638803734444081783294677734375,
60.07000000000000028421709430404007434844970703125,
57.96000000000000085265128291212022304534912109375,
59.00999999999999801048033987171947956085205078125,
57.6700000000000017053025658242404460906982421875,
57.60000000000000142108547152020037174224853515625,
55.090000000000003410605131648480892181396484375,
60.2999999999999971578290569595992565155029296875
]
}
}
}
}
}