Intel Core i7-1165G7 Tiger Lake in various software configurations 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 2010180-FI-TIGERCOMB90
Dell Tiger Lake Linux Configurations
Intel Core i7-1165G7 Tiger Lake in various software configurations for a future article.
,,"Dell Stock","Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev","Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev","Ubuntu 20.10 20201017","Ubuntu 20.10 20201017 + Mesa 20.3-dev"
Processor,,Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads)
Motherboard,,Dell 0GG9PT (1.0.1 BIOS),Dell 0GG9PT (1.0.1 BIOS),Dell 0GG9PT (1.0.1 BIOS),Dell 0GG9PT (1.0.1 BIOS),Dell 0GG9PT (1.0.1 BIOS)
Chipset,,Intel Device a0ef,Intel Device a0ef,Intel Device a0ef,Intel Tiger Lake-LP,Intel Tiger Lake-LP
Memory,,16GB,16GB,16GB,16GB,16GB
Disk,,KIOXIA KBG40ZNS256G NVMe 256GB,KIOXIA KBG40ZNS256G NVMe 256GB,KIOXIA KBG40ZNS256G NVMe 256GB,KIOXIA KBG40ZNS256G NVMe 256GB,KIOXIA KBG40ZNS256G NVMe 256GB
Graphics,,Intel Xe 3GB (1300MHz),Intel Xe 3GB (1300MHz),Intel Xe 3GB (1300MHz),Intel UHD (1300MHz),Intel UHD 3GB (1300MHz)
Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289,Realtek ALC289,Realtek ALC289
Network,,Intel Device a0f0,Intel Device a0f0,Intel Device a0f0,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.10,Ubuntu 20.10
Kernel,,5.6.0-1031-oem (x86_64),5.9.0-050900-generic (x86_64),5.9.0-050900daily20201016-generic (x86_64),5.8.0-23-generic (x86_64),5.8.0-23-generic (x86_64)
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.38.1,GNOME Shell 3.38.1
Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8,X Server 1.20.9,X Server 1.20.9
Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.9,modesetting 1.20.9
OpenGL,,4.6 Mesa 20.0.8,4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa),4.6 Mesa 20.3.0-devel (git-442f48f 2020-10-15 focal-oibaf-ppa),,4.6 Mesa 20.3.0-devel (git-57d3178 2020-10-17 groovy-oibaf-ppa)
Vulkan,,1.2.131,1.2.145,1.2.145,1.2.145,1.2.145
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0,GCC 10.2.0,GCC 10.2.0
File-System,,ext4,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1200,1920x1200,1920x1200,1920x1200,1920x1200
,,"Dell Stock","Ubuntu 20.04 Linux 5.9 + Mesa 20.3-dev","Ubuntu 20.04 Linux 5.10 Oct16 + Mesa 20.3-dev","Ubuntu 20.10 20201017","Ubuntu 20.10 20201017 + Mesa 20.3-dev"
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,38796199.4,38743943.6,38803868.1,58575445.0,58366711.4
"DeepSpeech - Acceleration: CPU (sec)",LIB,81.04058,80.95592,81.87918,61.14249,61.65336
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,39.401,39.532,39.438,28.402,28.091
"ET: Legacy - Renderer: Renderer2 - Resolution: 1920 x 1200 (FPS)",HIB,84.7,113.1,114.5,128.3,126.7
"FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,22977.066446873,22845.274239880,23067.413219940,24500.566255455,23640.117705222
"GEGL - Operation: Crop (sec)",LIB,10.265,11.424,11.427,6.279,6.306
"GEGL - Operation: Scale (sec)",LIB,6.927,8.121,8.128,4.424,4.426
"GEGL - Operation: Color Enhance (sec)",LIB,75.864,76.984,77.048,46.820,47.029
"GEGL - Operation: Rotate 90 Degrees (sec)",LIB,53.381,54.630,54.695,36.153,36.147
"GLmark2 - Resolution: 1920 x 1200 (Score)",HIB,559,840,833,837,837
"Inkscape - Operation: SVG Files To PNG (sec)",LIB,28.289,29.067,28.831,,
"Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,6.48,6.45,6.44,5.82,5.73
"LibreOffice - Test: 20 Documents To PDF (sec)",LIB,7.984,8.427,8.398,5.494,5.489
"librsvg - Operation: SVG Files To PNG (sec)",LIB,32.490,34.629,34.177,16.756,16.892
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,4.25953,4.34954,4.25984,5.35091,5.37617
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,26.71,26.57,26.51,25.87,26.34
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,30.66,30.83,30.70,30.53,31.14
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,7.86,7.72,7.70,7.00,7.35
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,6.73,6.70,6.63,6.36,6.54
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,5.36,5.36,5.30,5.39,5.54
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,7.37,7.16,7.13,7.70,7.92
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,10.54,10.26,10.37,11.26,11.54
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,2.22,2.21,2.21,2.11,2.14
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,22.06,21.75,21.65,24.37,24.94
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,63.51,63.48,63.82,70.41,72.84
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,19.51,19.13,19.21,21.27,21.75
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,18.16,18.08,18.13,18.66,18.98
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,44.50,44.20,44.28,49.62,50.75
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,40.50,40.59,40.48,40.14,40.87
"NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,80.21,15.76,13.71,11.68,11.64
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,77.04,20.78,20.05,19.44,19.09
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,31.55,8.03,8.41,7.34,8.02
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,36.53,10.62,10.75,10.61,10.48
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,18.14,8.08,8.23,8.26,8.02
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,32.90,8.41,8.53,8.26,8.49
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,75.71,11.69,11.68,11.43,11.77
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,5.03,4.90,4.73,2.20,1.93
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,76.46,11.27,11.44,11.25,11.37
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,285.38,40.73,40.78,38.41,38.42
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,48.27,8.84,8.50,8.26,8.06
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,60.96,10.11,10.15,9.52,9.41
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,127.50,15.53,15.56,15.40,15.45
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,96.49,33.51,31.53,39.42,39.28
"OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,84.61,84.39,84.36,97.75,96.89
"OSPray - Demo: San Miguel - Renderer: SciVis (FPS)",HIB,6.55,6.58,6.57,5.36,5.34
"OSPray - Demo: San Miguel - Renderer: Path Tracer (FPS)",HIB,0.54,0.54,0.54,0.45,0.45
"OSPray - Demo: Magnetic Reconnection - Renderer: SciVis (FPS)",HIB,8.19,8.19,8.15,6.64,6.62
"OSPray - Demo: Magnetic Reconnection - Renderer: Path Tracer (FPS)",HIB,125,125,125,157.64,162.04
"PHPBench - PHP Benchmark Suite (Score)",HIB,658662,655140,658287,962369,945846
"PyBench - Total For Average Test Times (Milliseconds)",LIB,1082,1081,1084,758,763
"RawTherapee - Total Benchmark Time (sec)",LIB,99.823,99.297,99.513,97.177,99.661
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,326.445,73.874,74.025,68.381,68.596
"RNNoise - (sec)",LIB,31.974,32.022,32.027,21.260,21.037
"Selenium - Benchmark: ARES-6 - Browser: Firefox (ms)",LIB,53.45,54.34,53.78,35.94,36.50
"Selenium - Benchmark: Kraken - Browser: Firefox (ms)",LIB,1022.0,1017.3,1013.7,672.1,671.8
"Selenium - Benchmark: Octane - Browser: Firefox (Geometric Mean)",HIB,26573,26594,26430,39499,39182
"Selenium - Benchmark: CanvasMark - Browser: Firefox (Score)",HIB,10642,10568,10684,14781,14715
"Selenium - Benchmark: StyleBench - Browser: Firefox (Runs / Minute)",HIB,68.8,68.1,67.8,98.0,96.3
"Selenium - Benchmark: Jetstream 2 - Browser: Firefox (Score)",HIB,70.665,70.012,70.162,108.597,109.062
"Selenium - Benchmark: ARES-6 - Browser: Google Chrome (ms)",LIB,24.79,24.88,24.90,16.56,16.68
"Selenium - Benchmark: Kraken - Browser: Google Chrome (ms)",LIB,1146.2,1127.9,1139.5,669.8,661.2
"Selenium - Benchmark: Octane - Browser: Google Chrome (Geometric Mean)",HIB,42149,41457,41981,60788,61047
"Selenium - Benchmark: PSPDFKit WASM - Browser: Firefox (Score)",LIB,1851,1866,1843,1438,1490
"Selenium - Benchmark: CanvasMark - Browser: Google Chrome (Score)",HIB,12475,12126,12215,16834,17720
"Selenium - Benchmark: StyleBench - Browser: Google Chrome (Runs / Minute)",HIB,28.44,28.5,28.40,40.2,39.4
"Selenium - Benchmark: Jetstream 2 - Browser: Google Chrome (Score)",HIB,106.813,106.453,106.289,165.584,163.200
"Selenium - Benchmark: PSPDFKit WASM - Browser: Google Chrome (Score)",LIB,2924,2911,2907,2957,3126
"Selenium - Benchmark: WASM imageConvolute - Browser: Firefox (ms)",LIB,42.3,41.9,41.7,27.9,27.6
"Selenium - Benchmark: WASM collisionDetection - Browser: Firefox (ms)",LIB,495.0,494.8,500.6,330.5,331.2
"Selenium - Benchmark: WASM imageConvolute - Browser: Google Chrome (ms)",LIB,42.9888,42.7395,43.2333,28.2613,28.485
"Selenium - Benchmark: WASM collisionDetection - Browser: Google Chrome (ms)",LIB,426.3442,426.0290,426.0135,281.1602,281.2440
"SQLite - Threads / Copies: 1 (sec)",LIB,29.428,29.336,29.381,29.275,29.393
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,75.907,75.079,75.381,50.948,52.195
"SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,12.162,12.079,12.136,10.777,10.820
"SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,90.18,90.88,91.24,76.80,71.96
"SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,68.23,69.11,69.66,56.42,54.85
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,552324,543259,546268,560458,575232
"TensorFlow Lite - Model: Inception V4 (us)",LIB,8124393,7997443,8073200,8098517,8355203
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,372673,369918,370251,377432,386514
"Tesseract - Resolution: 1920 x 1200 (FPS)",HIB,60.64169,96.83755,97.80785,130.8871,134.6010
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,134.333,134.094,134.155,153.757,157.406
"Timed HMMer Search - Pfam Database Search (sec)",LIB,191.574,190.956,192.095,101.678,101.637
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,210.531,210.554,210.497,247.810,253.284
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,11.033,10.880,10.949,10.051,9.886
"Timed MPlayer Compilation - Time To Compile (sec)",LIB,94.156,94.966,94.800,112.217,114.801
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,407.437,407.097,406.740,284.772,283.857
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,403.213,402.951,403.889,266.630,266.243
"Tungsten Renderer - Scene: Hair (sec)",LIB,72.0092,72.0044,72.1668,78.7810,80.3662
"Tungsten Renderer - Scene: Water Caustic (sec)",LIB,53.5761,53.7409,53.7853,52.4890,54.1268
"Tungsten Renderer - Scene: Non-Exponential (sec)",LIB,21.5825,21.6283,21.4699,23.5986,24.6311
"Tungsten Renderer - Scene: Volumetric Caustic (sec)",LIB,28.1858,28.2100,28.2919,31.6699,32.7307
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,23.585,23.651,23.687,15.290,15.239
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,9.648,9.656,9.642,6.307,6.340
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,49.051,48.976,49.066,37.740,37.797
"Xonotic - Resolution: 1920 x 1200 - Effects Quality: High (FPS)",HIB,125.8129763,190.1400711,189.9299691,193.4492638,193.1211631
"Xonotic - Resolution: 1920 x 1200 - Effects Quality: Ultra (FPS)",HIB,86.2356768,160.2983235,162.0666039,158.3047817,157.7676865
"Xonotic - Resolution: 1920 x 1200 - Effects Quality: Ultimate (FPS)",HIB,57.8875598,121.4556317,121.5501437,121.7742179,121.4292254
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,3228.1,3234.7,3259.5,4155.5,4153.9
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,21.1,21.2,21.2,23.4,23.3