Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.04 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 2308049-NE-NEWNEW95665
newnew,
"BRL-CAD 7.36 - VGR Performance Metric",
Higher Results Are Better
"a",51991,52024
"b",52114,51820
"c",51914,51846
"NCNN 20230517 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"a",20.69,20.79
"b",20.78,20.69
"c",20.81,20.66
"NCNN 20230517 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"a",4.55,4.64
"b",4.58,4.62
"c",4.51,4.54
"NCNN 20230517 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"a",3.55,3.61
"b",3.55,3.62
"c",3.5,3.51
"NCNN 20230517 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"a",4.6,3.46
"b",3.47,3.46
"c",3.45,3.49
"NCNN 20230517 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"a",5.18,3.92
"b",3.79,3.92
"c",3.82,3.84
"NCNN 20230517 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"a",9.13,8.56
"b",6.87,6.96
"c",6.59,6.69
"NCNN 20230517 - Target: CPU - Model: blazeface",
Lower Results Are Better
"a",1.29,1.34
"b",0.95,0.92
"c",0.98,0.93
"NCNN 20230517 - Target: CPU - Model: googlenet",
Lower Results Are Better
"a",15.75,15.88
"b",12.98,12.58
"c",12.14,12.69
"NCNN 20230517 - Target: CPU - Model: vgg16",
Lower Results Are Better
"a",59.2,58.98
"b",52.29,56.2
"c",51.76,56.5
"NCNN 20230517 - Target: CPU - Model: resnet18",
Lower Results Are Better
"a",11.13,11.21
"b",9.36,9.13
"c",8.69,9.68
"NCNN 20230517 - Target: CPU - Model: alexnet",
Lower Results Are Better
"a",8.56,8.65
"b",7.33,7.52
"c",7.05,7.55
"NCNN 20230517 - Target: CPU - Model: resnet50",
Lower Results Are Better
"a",28.56,28.92
"b",24.34,28.8
"c",24.37,28.76
"NCNN 20230517 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"a",29.85,29.02
"b",29.06,29
"c",29.28,29.22
"NCNN 20230517 - Target: CPU - Model: squeezenet_ssd",
Lower Results Are Better
"a",12.92,12.98
"b",11.37,13.08
"c",11.08,13.02
"NCNN 20230517 - Target: CPU - Model: regnety_400m",
Lower Results Are Better
"a",11.66,11.86
"b",8.63,8.58
"c",8.4,8.38
"NCNN 20230517 - Target: CPU - Model: vision_transformer",
Lower Results Are Better
"a",184.98,193.82
"b",208.21,200.51
"c",205.71,194.75
"NCNN 20230517 - Target: CPU - Model: FastestDet",
Lower Results Are Better
"a",3.97,3.97
"b",3.91,3.91
"c",3.86,3.91
"NCNN 20230517 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"a",21.25,20.88
"b",20.62,20.67
"c",20.66,20.71
"NCNN 20230517 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"a",4.66,4.66
"b",4.6,4.65
"c",4.55,4.64
"NCNN 20230517 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"a",3.57,3.62
"b",3.57,3.6
"c",3.53,3.55
"NCNN 20230517 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"a",3.48,3.51
"b",3.48,3.49
"c",3.47,3.51
"NCNN 20230517 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"a",3.92,3.93
"b",3.86,3.91
"c",3.83,3.91
"NCNN 20230517 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"a",6.97,7.01
"b",6.96,6.99
"c",6.66,6.95
"NCNN 20230517 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"a",1.27,1.24
"b",0.94,1.04
"c",0.94,1.22
"NCNN 20230517 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"a",15.84,15.88
"b",12.56,15.62
"c",12.22,15.79
"NCNN 20230517 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"a",58.88,59.18
"b",56.48,59.28
"c",57.63,58.93
"NCNN 20230517 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"a",11.15,11.2
"b",9.17,11.27
"c",9.58,11.22
"NCNN 20230517 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"a",8.64,8.71
"b",7.56,8.6
"c",7.6,8.69
"NCNN 20230517 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"a",28.65,29.02
"b",28.59,28.82
"c",28.63,28.93
"NCNN 20230517 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"a",29.86,29.34
"b",29.08,29.38
"c",29.05,29.16
"NCNN 20230517 - Target: Vulkan GPU - Model: squeezenet_ssd",
Lower Results Are Better
"a",13.08,13.01
"b",12.99,13.02
"c",12.97,13.03
"NCNN 20230517 - Target: Vulkan GPU - Model: regnety_400m",
Lower Results Are Better
"a",11.48,10.89
"b",8.58,8.56
"c",8.49,10.74
"NCNN 20230517 - Target: Vulkan GPU - Model: vision_transformer",
Lower Results Are Better
"a",199.45,215.46
"b",194.63,193.17
"c",188.11,189.47
"NCNN 20230517 - Target: Vulkan GPU - Model: FastestDet",
Lower Results Are Better
"a",3.88,4.06
"b",3.93,3.94
"c",3.93,4.13
"Timed GCC Compilation 13.2 - Time To Compile",
Lower Results Are Better
"a",2405.098,2404.449
"b",2402.202,2406.437
"c",2392.742,2395.536
"VVenC 1.9 - Video Input: Bosphorus 4K - Video Preset: Fast",
Higher Results Are Better
"a",1.691,1.617
"b",1.678,1.622
"c",1.713,1.641
"VVenC 1.9 - Video Input: Bosphorus 4K - Video Preset: Faster",
Higher Results Are Better
"a",3.694,3.666
"b",3.794,3.767
"c",3.934,3.772
"VVenC 1.9 - Video Input: Bosphorus 1080p - Video Preset: Fast",
Higher Results Are Better
"a",5.14,5.14
"b",5.116,5.132
"c",5.364,5.134
"VVenC 1.9 - Video Input: Bosphorus 1080p - Video Preset: Faster",
Higher Results Are Better
"a",12.878,12.714
"b",12.742,12.531
"c",14.593,13.01
"VkFFT 1.2.31 - Test: FFT + iFFT R2C / C2R",
Higher Results Are Better
"a",5581,5588
"b",5619,5558
"c",5619,5757
"VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in half precision",
Higher Results Are Better
"a",14241,14251
"b",14230,14233
"c",14237,14245
"VkFFT 1.2.31 - Test: FFT + iFFT C2C Bluestein in single precision",
Higher Results Are Better
"a",1032,1033
"b",1033,1035
"c",1036,1034
"VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in double precision",
Higher Results Are Better
"a",
"b",
"c",
"VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in single precision",
Higher Results Are Better
"a",7500,7472
"b",7486,7478
"c",7481,7474
"VkFFT 1.2.31 - Test: FFT + iFFT C2C multidimensional in single precision",
Higher Results Are Better
"a",4926,4961
"b",4943,4930
"c",5096,5078
"VkFFT 1.2.31 - Test: FFT + iFFT C2C Bluestein benchmark in double precision",
Higher Results Are Better
"a",
"b",
"c",
"VkFFT 1.2.31 - Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling",
Higher Results Are Better
"a",8180,8172
"b",8175,8176
"c",8188,8178
"vkpeak 20230730 - fp32-scalar",
Higher Results Are Better
"a",934.46,935.01
"b",935.02,935.01
"c",935.09,934.52
"vkpeak 20230730 - fp32-vec4",
Higher Results Are Better
"a",1478.05,1479.1
"b",1479.01,1477.99
"c",1479.04,1479.04
"vkpeak 20230730 - fp16-scalar",
Higher Results Are Better
"a",2309.22,2309.36
"b",2309.17,2309.21
"c",2309.31,2309.24
"vkpeak 20230730 - fp16-vec4",
Higher Results Are Better
"a",3182.12,3182.33
"b",3181.97,3182.04
"c",3182.17,3182.41
"vkpeak 20230730 - int32-scalar",
Higher Results Are Better
"a",474.85,474.91
"b",474.86,474.86
"c",474.88,474.89
"vkpeak 20230730 - int32-vec4",
Higher Results Are Better
"a",493.61,493.65
"b",493.63,493.62
"c",493.65,493.64
"vkpeak 20230730 - int16-scalar",
Higher Results Are Better
"a",907.81,908.01
"b",907.82,907.81
"c",907.84,907.9
"vkpeak 20230730 - int16-vec4",
Higher Results Are Better
"a",979.17,979.33
"b",979.3,979.2
"c",979.22,979.23
"VkResample 1.0 - Upscale: 2x - Precision: Single",
Lower Results Are Better
"a",100.009,100.009
"b",100.01,100.009
"c",100.008,100.009
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Apache IoTDB 1.1.2 - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500",
Higher Results Are Better
"a",
"b",
"c",
"Dragonflydb 1.6.2 - Clients Per Thread: 10 - Set To Get Ratio: 1:5",
Higher Results Are Better
"a",1455575.16,1206528.63
"b",1426382.01,1195400.94
"c",1551943.86,1238035.29
"Dragonflydb 1.6.2 - Clients Per Thread: 20 - Set To Get Ratio: 1:5",
Higher Results Are Better
"a",1759294.22,1481500.12
"b",1718924.33,1425925.44
"c",1719172.73,1404288.24
"Dragonflydb 1.6.2 - Clients Per Thread: 50 - Set To Get Ratio: 1:5",
Higher Results Are Better
"a",1544191.07,1474131.93
"b",1628319.3,1464787.33
"c",1708634.66,1411083.79
"Dragonflydb 1.6.2 - Clients Per Thread: 10 - Set To Get Ratio: 1:10",
Higher Results Are Better
"a",1402447.99,1164056.81
"b",1365562.08,1185552.69
"c",1468986.14,1181222.12
"Dragonflydb 1.6.2 - Clients Per Thread: 20 - Set To Get Ratio: 1:10",
Higher Results Are Better
"a",1647738.12,1460146.86
"b",1676795.38,1388267.05
"c",1774037.14,1467819.17
"Dragonflydb 1.6.2 - Clients Per Thread: 50 - Set To Get Ratio: 1:10",
Higher Results Are Better
"a",1659360.12,1459456.89
"b",1657004.13,1433584.81
"c",1703472.77,1446088.13
"Dragonflydb 1.6.2 - Clients Per Thread: 10 - Set To Get Ratio: 1:100",
Higher Results Are Better
"a",1385245.59,1150006.91
"b",1400808.78,1210588.17
"c",1439393.72,1155436.77
"Dragonflydb 1.6.2 - Clients Per Thread: 20 - Set To Get Ratio: 1:100",
Higher Results Are Better
"a",1571422.16,1438178.36
"b",1603311.09,1460812.17
"c",1824111.08,1486390.64
"Dragonflydb 1.6.2 - Clients Per Thread: 50 - Set To Get Ratio: 1:100",
Higher Results Are Better
"a",1703513.25,1476963.61
"b",1637388.97,1440070.24
"c",1613635.38,1483167.7
"Apache Cassandra 4.1.3 - Test: Writes",
Higher Results Are Better
"a",42336,37391
"b",42343,39302
"c",41830,37241