Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB 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 2310252-NE-ICELAKE2057
icelake 2023
Tests for a future article. Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.04 via the Phoronix Test Suite.
,,"a","b"
Processor,,Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads),Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads)
Motherboard,,Dell 06CDVY (1.0.9 BIOS),Dell 06CDVY (1.0.9 BIOS)
Chipset,,Intel Ice Lake-LP DRAM,Intel Ice Lake-LP DRAM
Memory,,16GB,16GB
Disk,,Toshiba KBG40ZPZ512G NVMe 512GB,Toshiba KBG40ZPZ512G NVMe 512GB
Graphics,,Intel Iris Plus ICL GT2 16GB (1100MHz),Intel Iris Plus ICL GT2 16GB (1100MHz)
Audio,,Realtek ALC289,Realtek ALC289
Network,,Intel Ice Lake-LP PCH CNVi WiFi,Intel Ice Lake-LP PCH CNVi WiFi
OS,,Ubuntu 23.04,Ubuntu 23.04
Kernel,,6.2.0-24-generic (x86_64),6.2.0-24-generic (x86_64)
Desktop,,GNOME Shell 44.0,GNOME Shell 44.0
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 23.0.4-0ubuntu1~23.04.1,4.6 Mesa 23.0.4-0ubuntu1~23.04.1
OpenCL,,OpenCL 3.0,OpenCL 3.0
Compiler,,GCC 12.3.0,GCC 12.3.0
File-System,,ext4,ext4
Screen Resolution,,1920x1200,1920x1200
,,"a","b"
"OpenRadioss - Model: Chrysler Neon 1M (sec)",LIB,2917.08,2947.38
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,1818.21,1824.13
"FluidX3D - Test: FP32-FP16C (MLUPs/s)",HIB,210,209
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,921.19,953.64
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,693.04,694.01
"FluidX3D - Test: FP32-FP32 (MLUPs/s)",HIB,257,264
"Intel Open Image Denoise - Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only (Images / Sec)",HIB,0.04,0.05
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 (sec)",LIB,560.794,560.991
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,581.559,540.786
"OpenRadioss - Model: Bumper Beam (sec)",LIB,512.2,516.66
"FluidX3D - Test: FP32-FP16S (MLUPs/s)",HIB,500,496
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,337.47,338.36
"Intel Open Image Denoise - Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.09,0.10
"Intel Open Image Denoise - Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only (Images / Sec)",HIB,0.09,0.10
"Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,2.5641,2.6409
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,2.8093,2.8357
"Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,2.9828,3.035
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,257.08,238.246
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,3.2088,3.3091
"Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,3.2657,3.2676
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 (sec)",LIB,225.678,225.755
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,0.727,0.769
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,3.6724,3.8233
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,5.15,5.25
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,267.05,254.37
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,11.97,11.26
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,13.81,13.15
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,32.22,30.62
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,34.19,31.55
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,10.3,9.61
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,12.98,11.81
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,70.08,65.36
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,17.18,16.11
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.15,1.05
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,10.72,10.23
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,5.83,4.02
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.33,2.73
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,3.54,3.54
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.37,4.46
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,24.14,22.94
"NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,5.64,4.84
"NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,268.47,251.88
"NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,11.95,11.33
"NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,13.89,13.12
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,32.2,30.66
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,34.28,32.25
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,10.38,9.57
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,13.06,11.79
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,70.21,65.22
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,17.19,16.13
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,1.17,1.08
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,10.78,10.14
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,5.24,3.6
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,2.71,2.79
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,3.54,3.48
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.35,4.47
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,24.15,22.83
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,14373.9,13583.8
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,14396.7,12976.6
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,14376.4,12945.5
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,7398.63,6677.03
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,7400.64,6701.8
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7378.4,6648.27
"QuantLib - Configuration: Multi-Threaded (MFLOPS)",HIB,7472.8,7336.6
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,9.095,9.974
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,2.726,2.989
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,39.912,36.845
"Stress-NG - Test: Cloning (Bogo Ops/s)",HIB,641.54,702.93
"Stress-NG - Test: Vector Shuffle (Bogo Ops/s)",HIB,2156.51,2306.11
"Stress-NG - Test: Wide Vector Math (Bogo Ops/s)",HIB,88229.8,96693.23
"QuantLib - Configuration: Single-Threaded (MFLOPS)",HIB,2898.3,2894.4
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,28.757,26.309
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,34.32,34.37
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,25.293,28.357
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,21.4405,12.9325
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,9.48511,8.47414
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,27.939,31.483
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,34.32,35.13
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,30.093,32.582
"AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K (FPS)",HIB,33.21,33.31
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,13.3903,10.7302
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,6.00177,4.91146
"easyWave - Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 (sec)",LIB,11.91,11.933
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,13.14,12.02
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,9.05715,8.04914
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.81175,3.0439
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,17.715,15.4635
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,13.1328,13.1309
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,146.87,147.01
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,144.8,143.67
"AOM AV1 - Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p (FPS)",HIB,150.75,150.93
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,191.279,190.598
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,15.1772,15.0825
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,8.16222,8.149
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,255.397,252.158
"Stress-NG - Test: AVX-512 VNNI ()",,,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,