Intel Core i7-12700K testing with a MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS) and Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 on Pop 21.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2112076-TJ-2112065TJ40
HPC benchmark
Intel Core i7-12700K testing with a MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS) and Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 on Pop 21.04 via the Phoronix Test Suite.
,,"Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt ","Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt","Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt"
Processor,,Intel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads),Intel Core i7-12700K @ 6.30GHz (8 Cores / 16 Threads),Intel Core i7-12700K @ 6.30GHz (12 Cores / 20 Threads)
Motherboard,,MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS),MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS),MSI PRO Z690-A DDR4(MS-7D25) v1.0 (1.15 BIOS)
Chipset,,Intel Device 7aa7,Intel Device 7aa7,Intel Device 7aa7
Memory,,32GB,32GB,32GB
Disk,,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro,500GB Western Digital WDS500G2B0C-00PXH0 + 3 x 10001GB Seagate ST10000DM0004-1Z + 128GB HP SSD S700 Pro
Graphics,,Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 (1650/750MHz),Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 (1650/750MHz),Gigabyte AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 (1650/750MHz)
Audio,,Realtek ALC897,Realtek ALC897,Realtek ALC897
Monitor,,LG HDR WQHD,LG HDR WQHD,LG HDR WQHD
Network,,Intel I225-V,Intel I225-V,Intel I225-V
OS,,Pop 21.04,Pop 21.04,Pop 21.04
Kernel,,5.15.5-76051505-generic (x86_64),5.15.5-76051505-generic (x86_64),5.15.5-76051505-generic (x86_64)
Desktop,,GNOME Shell 3.38.4,GNOME Shell 3.38.4,GNOME Shell 3.38.4
Display Server,,X Server 1.20.11,X Server 1.20.11,X Server 1.20.11
OpenGL,,4.6 Mesa 21.3.0-devel (LLVM 12.0.1),4.6 Mesa 21.3.0-devel (LLVM 12.0.1),4.6 Mesa 21.3.0-devel (LLVM 12.0.1)
OpenCL,,OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX + OpenCL 2.2 AMD-APP (3361.0),OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX + OpenCL 2.2 AMD-APP (3361.0),OpenCL 1.2 Intel FPGA SDK for OpenCL 20.3 + OpenCL 3.0 LINUX + OpenCL 2.2 AMD-APP (3361.0)
Vulkan,,1.2.182,1.2.182,1.2.182
Compiler,,GCC 10.3.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 + CUDA 10.2,GCC 10.3.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 + CUDA 10.2,GCC 10.3.0 + Intel oneAPI DPC++/C++ Compiler 2021.4.0 (2021.4.0.20210924) + ICC 2021.4.0 20210910 + CUDA 10.2
File-System,,ext4,ext4,ext4
Screen Resolution,,3440x1440,3440x1440,3440x1440
,,"Intel Core i7-12700k Golden Cove Pcore AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt ","Intel Core i7-12700k Golden Cove Pcore ONLY no AVX512 DDR4 3200 CL 15 16 16 36 RX 5600xt","Intel Core i7-12700k Golden Cove Pcore + Gracemont Ecore DDR4 3200 CL 15 16 16 36 RX 5600xt"
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.002,0.001,0.004
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.021,0.015,0.055
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.005,0.004,0.013
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.003,0.003,0.009
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.013,0.013,0.031
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,224.710,262.514,486.558
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.052,0.054,0.111
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.285,0.280,0.499
"Scikit-Learn - (sec)",LIB,4.883,5.069,8.193
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.332,1.336,2.212
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,1.53,1.64,2.29
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,141138,159253,109893
"TensorFlow Lite - Model: Inception V4 (us)",LIB,2024680,2213513,1564193
"DeepSpeech - Acceleration: CPU (sec)",LIB,49.07625,54.54775,65.95657
"Numpy Benchmark - (Score)",HIB,565.28,558.72,422.78
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.004,0.003,0.004
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,1.26329,1.14364,0.94957
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.030,0.028,0.037
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,1837950,1801520,1413363
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.008,0.007,0.009
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,95569.3,93959.4,74706.9
"FFTW - Build: Float + SSE - Size: 1D FFT Size 4096 (Mflops)",HIB,100155,80667,78573
"Parboil - Test: OpenMP CUTCP (sec)",LIB,3.344243,3.280331,2.629929
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Reduction (GB/s)",HIB,21.2083,17.9097,16.8136
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,99378.6,97487.4,78810.5
"ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,1484.83,1826.95,1584.97
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,0.637,0.644,0.779
"ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,2812.63,3423.09,2873.34
"ONNX Runtime - Model: fcn-resnet101-11 - Device: CPU (Inferences/min)",HIB,74,68,80
"Parboil - Test: OpenMP Stencil (sec)",LIB,17.610509,15.381602,17.882286
"PlaidML - FP16: No - Mode: Inference - Network: VGG16 - Device: CPU (FPS)",HIB,22.29,19.23,19.57
"miniFE - Problem Size: Small (CG Mflops)",HIB,5458.44,6321.61,5932.11
"ECP-CANDLE - Benchmark: P3B1 (sec)",LIB,794.258,918.197,887.14
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: FFT SP (GFLOPS)",HIB,87.6173,98.1365,101.122
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.021,0.024,0.024
"Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,95.97,96.46,109.65
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: S3D (GFLOPS)",HIB,12.2422,13.6588,13.9616
"ONNX Runtime - Model: yolov4 - Device: CPU (Inferences/min)",HIB,469,460,520
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.090,0.097,0.101
"Himeno Benchmark - Poisson Pressure Solver (MFLOPS)",HIB,10224.564685,9116.455509,9209.748838
"AI Benchmark Alpha - Device Training Score (Score)",HIB,1569,1450,1402
"ECP-CANDLE - Benchmark: P1B2 (sec)",LIB,31.787,28.405,28.693
"Parboil - Test: OpenMP LBM (sec)",LIB,125.071714,115.216647,112.276179
"Numenta Anomaly Benchmark - Detector: EXPoSE (sec)",LIB,30.297,32.206,33.561
"ONNX Runtime - Model: shufflenet-v2-10 - Device: CPU (Inferences/min)",HIB,40688,42897,45034
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.416,0.454,0.459
"Numenta Anomaly Benchmark - Detector: Earthgecko Skyline (sec)",LIB,83.156,88.963,80.683
"ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,4.723792,4.909597,5.205018
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,6.86,7.40,6.72
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.012,0.011,0.011
"AI Benchmark Alpha - Device AI Score (Score)",HIB,3215,2983,3046
"AI Benchmark Alpha - Device Inference Score (Score)",HIB,1646,1533,1644
"ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,1255.80,1231.73,1171.04
"Kripke - (Throughput FoM)",HIB,76868693,72234187,76195000
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.017,0.016,0.016
"FFTW - Build: Float + SSE - Size: 2D FFT Size 4096 (Mflops)",HIB,40789,42516,43336
"RNNoise - (sec)",LIB,17.513,16.792,16.524
"ONNX Runtime - Model: super-resolution-10 - Device: CPU (Inferences/min)",HIB,4662,4417,4579
"Numenta Anomaly Benchmark - Detector: Windowed Gaussian (sec)",LIB,8.147,8.553,8.108
"CP2K Molecular Dynamics - Input: Fayalite-FIST (sec)",LIB,382.83,403.729,398.301
"FFTW - Build: Stock - Size: 2D FFT Size 4096 (Mflops)",HIB,12945,13568,13494
"FFTW - Build: Stock - Size: 2D FFT Size 32 (Mflops)",HIB,22796,23477,23622
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,7.915,8.013,8.183
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,235.526,237.601,230.459
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.035,0.036,0.036
"FFTW - Build: Stock - Size: 1D FFT Size 4096 (Mflops)",HIB,18379,18279,17876
"TNN - Target: CPU - Model: SqueezeNet v2 (ms)",LIB,45.898,46.588,45.500
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.175,0.178,0.179
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.222,0.222,0.227
"FFTW - Build: Stock - Size: 1D FFT Size 32 (Mflops)",HIB,22739,23117,23240
"PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.095,0.094,0.093
"ECP-CANDLE - Benchmark: P3B2 (sec)",LIB,403.484,401.56,409.434
"ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,2004.44,1966.15,1970.57
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.053,0.052,0.053
"GNU Octave Benchmark - (sec)",LIB,5.166,5.108,5.069
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.061,0.060,0.061
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,1.327,1.325,1.343
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,0.847,0.845,0.837
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,11.158,11.042,11.057
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.293,0.290,0.290
"FFTW - Build: Float + SSE - Size: 1D FFT Size 32 (Mflops)",HIB,30059,30047,29780
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.143,0.144,0.144
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.202,0.201,0.201
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.299,1.301,1.299
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.044,0.044,0.044
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.011,0.011,0.011
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.043,0.043,0.043
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.009,0.009,0.009
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.003,0.003,0.003
"PyHPC Benchmarks - Device: CPU - Backend: Aesara - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.001,0.001,0.001
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.002,0.002,0.002
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.002,0.002,0.002
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,0.001,0.001,0.001
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,,,0.001
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.002,0.002,0.002
"FFTE - Test: N=256, 1D Complex FFT Routine (MFLOPS)",HIB,55457.601517024,,
"OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,66637,91035,52247
"PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 1048576 - Benchmark: Equation of State (sec)",LIB,0.020,0.020,0.02
"PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.005,0.004,0.004
"PyHPC Benchmarks - Device: CPU - Backend: TensorFlow - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.002,0.001,0.001
"PyHPC Benchmarks - Device: CPU - Backend: PyTorch - Project Size: 4194304 - Benchmark: Equation of State (sec)",LIB,0.090,0.069,0.223
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing (sec)",LIB,1.861,2.021,2.131
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State (sec)",LIB,0.013,0.013,0.014
"PyHPC Benchmarks - Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.004,0.005,0.005
"PyHPC Benchmarks - Device: CPU - Backend: Numba - Project Size: 16384 - Benchmark: Isoneutral Mixing (sec)",LIB,0.003,0.002,0.002
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 1048576 - Benchmark: Isoneutral Mixing (sec)",LIB,0.134,0.134,0.170
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Isoneutral Mixing (sec)",LIB,0.028,0.027,0.034
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 262144 - Benchmark: Equation of State (sec)",LIB,0.001,0.001,0.001
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 65536 - Benchmark: Isoneutral Mixing (sec)",LIB,0.011,0.010,0.013
"PyHPC Benchmarks - Device: CPU - Backend: JAX - Project Size: 16384 - Benchmark: Equation of State (sec)",LIB,,,
"Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,6.95,7.19,13.06
"Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,12.39,12.02,14.58
"Numenta Anomaly Benchmark - Detector: Bayesian Changepoint (sec)",LIB,24.892,27.251,29.514
"Numenta Anomaly Benchmark - Detector: Relative Entropy (sec)",LIB,12.832,13.275,14.741
"PlaidML - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU (FPS)",HIB,8.52,8.32,8.41
"TNN - Target: CPU - Model: DenseNet (ms)",LIB,2719.820,2854.854,3987.715
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,4.28,5.83,3.71
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,4.63,4.73,4.30
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,8.16,10.03,8.14
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,6.64,7.46,6.11
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,6.69,6.84,6.41
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,3.04,3.96,2.34
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,17.58,19.80,16.96
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,5.41,7.09,5.10
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,1.69,2.71,1.43
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,7.72,9.34,7.65
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,3.40,4.27,2.72
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,2.68,3.65,2.07
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,4.02,4.76,3.64
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,3.19,4.05,2.61
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,5.55,7.44,6.80
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,13.41,15.89,14.85
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,15.34,17.33,17.62
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,16.38,19.41,20.01
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,9.29,10.64,11.23
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,10.37,13.24,11.74
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,37.73,43.97,40.61
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,9.00,10.43,10.34
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.02,1.21,1.21
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,3.37,4.35,4.47
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,2.12,2.72,2.88
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,2.39,3.16,2.67
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,2.17,2.74,2.75
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,2.38,2.98,3.10
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,9.07,10.74,11.06
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,23.277,25.231,26.687
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,1.749,2.054,2.613
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,1.892,2.217,2.565
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,3.590,4.060,4.640
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,16.694,18.461,22.622
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.264,2.559,2.865
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.113,1.237,1.261
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,126721,154285,89096.6
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,1615.65,1355.37,1439.63
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,32570.157710805,25089.993604089,26580.090189963
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenCL - Kernel: Points2Image (Test Cases/min)",HIB,15525.664613677,15404.277700861,15539.073739801
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,1008.65,993.75,821.38
"ASKAP - Test: Hogbom Clean OpenMP (Iterations/sec)",HIB,253.548,243.796,255.322
"R Benchmark - (sec)",LIB,0.1070,0.1096,0.1097
"ArrayFire - Test: BLAS CPU (GFLOPS)",HIB,1178.75,1140.35,700.104
"FFTW - Build: Float + SSE - Size: 2D FFT Size 32 (Mflops)",HIB,79668,75886,75032
"Nebular Empirical Analysis Tool - (sec)",LIB,26.980,26.677,25.676
"CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,186.74,191.33,138.33
"Parboil - Test: OpenMP MRI Gridding (sec)",LIB,51.497636,48.269881,56.645959
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Readback (GB/s)",HIB,31.3126,38.4318,36.0449
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Bus Speed Download (GB/s)",HIB,30.5438,38.5258,35.1906
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Max SP Flops (GFLOPS)",HIB,1667232,1542874,1581543
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: GEMM SGEMM_N (GFLOPS)",HIB,284.989,254.597,228.412
"SHOC Scalable HeterOgeneous Computing - Target: OpenCL - Benchmark: Triad (GB/s)",HIB,15.6282,18.3795,18.4348