AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2208318-PTS-REMBRAND95
rembrandt openvino and other new,
"OpenVINO 2022.2.dev - Model: Face Detection FP16 - Device: CPU",
Higher Results Are Better
"A",1.47,1.46,1.46
"b",1.48,1.47,1.47
"C",1.47,1.46,1.47
"OpenVINO 2022.2.dev - Model: Person Detection FP16 - Device: CPU",
Higher Results Are Better
"A",1.01,1,0.99
"b",1.01,1.01,1.01
"C",1.01,1,1
"OpenVINO 2022.2.dev - Model: Person Detection FP32 - Device: CPU",
Higher Results Are Better
"A",0.99,0.98,0.97
"b",1,0.99,0.99
"C",0.99,0.99,0.99
"OpenVINO 2022.2.dev - Model: Vehicle Detection FP16 - Device: CPU",
Higher Results Are Better
"A",126.62,124.96,123.1
"b",128.07,126.81,126.97
"C",126.91,125.93,125.75
"OpenVINO 2022.2.dev - Model: Face Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"A",3.33,3.38,3.38
"b",3.4,3.4,3.4
"C",3.36,3.4,3.4
"OpenVINO 2022.2.dev - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"A",209.81,209.27,211.76
"b",212.53,214.52,210.39
"C",211.59,209.91,211.02
"OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16 - Device: CPU",
Higher Results Are Better
"A",157.73,157.74,157.77
"b",159.71,158.62,158.64
"C",159.39,158.68,158.84
"OpenVINO 2022.2.dev - Model: Machine Translation EN To DE FP16 - Device: CPU",
Higher Results Are Better
"A",18.01,17.86,17.87
"b",18.11,18.02,18
"C",18.15,17.98,18.05
"OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Higher Results Are Better
"A",334.16,334.66,334.53
"b",336.86,335.85,334.72
"C",337.78,336.41,336
"OpenVINO 2022.2.dev - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Higher Results Are Better
"A",219.47,214.95,216.16
"b",224.55,212.34,216.99,225.31,214.03,212.29,212.45,215.09
"C",218.21,225.27,213.78,212.22,212.34,219.64
"OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Higher Results Are Better
"A",4396.45,4395.27,4373.39
"b",4415.57,4421.83,4387.74
"C",4409.68,4397.88,4400.09
"OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Higher Results Are Better
"A",8528.25,8509.88,8499.39
"b",8600.52,8555.9,8540.33
"C",8636.83,8559.87,8495.05
"7-Zip Compression 22.01 - Test: Compression Rating",
Higher Results Are Better
"A",55829,54844,54703
"b",55754,55109,55322
"C",55758,54906,54776
"7-Zip Compression 22.01 - Test: Decompression Rating",
Higher Results Are Better
"A",52760,50618,50231
"b",53303,51301,50578
"C",53159,50804,50254
"Mobile Neural Network 2.1 - Model: nasnet",
Lower Results Are Better
"A",12.084,12.189,12.126
"b",12.255,12.45,11.935
"C",12.029,12.062,12.095
"Mobile Neural Network 2.1 - Model: mobilenetV3",
Lower Results Are Better
"A",1.92,1.92,1.932
"b",1.927,1.908,1.922
"C",1.911,1.934,1.915
"Mobile Neural Network 2.1 - Model: squeezenetv1.1",
Lower Results Are Better
"A",3.416,3.596,3.458
"b",3.494,3.541,3.484
"C",3.462,3.475,3.414
"Mobile Neural Network 2.1 - Model: resnet-v2-50",
Lower Results Are Better
"A",26.629,27.129,26.851
"b",26.911,26.883,26.976
"C",26.689,26.724,26.731
"Mobile Neural Network 2.1 - Model: SqueezeNetV1.0",
Lower Results Are Better
"A",6.704,6.89,6.73
"b",6.792,6.807,6.787
"C",6.628,6.712,6.72
"Mobile Neural Network 2.1 - Model: MobileNetV2_224",
Lower Results Are Better
"A",3.082,3.133,3.118
"b",3.118,3.134,3.144
"C",3.093,3.09,3.12
"Mobile Neural Network 2.1 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"A",3.028,3.029,3.02
"b",3.016,3.004,3.018
"C",3.016,3.008,3.011
"Mobile Neural Network 2.1 - Model: inception-v3",
Lower Results Are Better
"A",36.757,37.66,37.457
"b",36.734,37.452,37.433
"C",36.58,37.036,37.193
"OpenVINO 2022.2.dev - Model: Face Detection FP16 - Device: CPU",
Lower Results Are Better
"A",2729.16,2730.36,2736.57
"b",2704.24,2718.23,2721.41
"C",2725.23,2730.37,2728.16
"OpenVINO 2022.2.dev - Model: Person Detection FP16 - Device: CPU",
Lower Results Are Better
"A",3964.07,3983.48,4011.62
"b",3941.05,3964.9,3959.25
"C",3953.92,3969.12,3980
"OpenVINO 2022.2.dev - Model: Person Detection FP32 - Device: CPU",
Lower Results Are Better
"A",4049.63,4077.44,4116.19
"b",3997.92,4027.82,4024.91
"C",4025.39,4036.85,4043.1
"OpenVINO 2022.2.dev - Model: Vehicle Detection FP16 - Device: CPU",
Lower Results Are Better
"A",31.54,31.96,32.44
"b",31.18,31.5,31.46
"C",31.47,31.71,31.76
"OpenVINO 2022.2.dev - Model: Face Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"A",1202.59,1183.73,1184.82
"b",1176.02,1175.84,1175.67
"C",1188.84,1176.06,1176.83
"OpenVINO 2022.2.dev - Model: Vehicle Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"A",19.04,19.09,18.86
"b",18.8,18.62,18.99
"C",18.88,19.03,18.93
"OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16 - Device: CPU",
Lower Results Are Better
"A",25.31,25.31,25.3
"b",25,25.17,25.16
"C",25.04,25.16,25.13
"OpenVINO 2022.2.dev - Model: Machine Translation EN To DE FP16 - Device: CPU",
Lower Results Are Better
"A",222.08,223.96,223.86
"b",220.85,221.88,222.13
"C",220.41,222.41,221.57
"OpenVINO 2022.2.dev - Model: Weld Porosity Detection FP16-INT8 - Device: CPU",
Lower Results Are Better
"A",23.86,23.83,23.84
"b",23.67,23.74,23.82
"C",23.61,23.7,23.73
"OpenVINO 2022.2.dev - Model: Person Vehicle Bike Detection FP16 - Device: CPU",
Lower Results Are Better
"A",18.18,18.57,18.46
"b",17.76,18.79,18.38,17.7,18.64,18.79,18.78,18.55
"C",18.28,17.71,18.66,18.8,18.79,18.16
"OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU",
Lower Results Are Better
"A",1.77,1.77,1.78
"b",1.76,1.76,1.77
"C",1.76,1.77,1.77
"OpenVINO 2022.2.dev - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU",
Lower Results Are Better
"A",0.92,0.92,0.92
"b",0.91,0.92,0.92
"C",0.91,0.92,0.92