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 23.10 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 2403278-NE-ICELAKEMA14
icelake march
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 23.10 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 + 2 x 0GB MassStorageClass,Toshiba KBG40ZPZ512G NVMe 512GB + 2 x 0GB MassStorageClass
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 23.10,Ubuntu 23.10
Kernel,,6.7.0-060700rc5-generic (x86_64),6.7.0-060700rc5-generic (x86_64)
Desktop,,GNOME Shell 45.1,GNOME Shell 45.1
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 24.0~git2312230600.551924~oibaf~m (git-551924a 2023-12-23 mantic-oibaf-ppa),4.6 Mesa 24.0~git2312230600.551924~oibaf~m (git-551924a 2023-12-23 mantic-oibaf-ppa)
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1200,1920x1200
,,"a","b"
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,671.9,633.72
"Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,921.09,892.47
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,848.45,806.43
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,2207.35,2092.75
"Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,3535,3899
"Google Draco - Model: Lion (ms)",LIB,5559,5491
"Google Draco - Model: Church Facade (ms)",LIB,8421,8361
"JPEG-XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,57.584,58.041
"JPEG-XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,123.512,130.443
"JPEG-XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,8.278,11.053
"JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,7.543,8.222
"JPEG-XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,8.048,8.662
"JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,7.662,8.256
"JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,2.997,3.169
"JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,2.981,3.13
"oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,7.08037,6.82639
"oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,5.80745,5.83135
"oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,13.7106,12.755
"oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,18.832,16.9829
"oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,13.4544,13.4885
"oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,12553.3,11783.6
"oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,6399.73,6341.9
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,0.63,0.67
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,6365.09,5987.53
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,7.26,7.94
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,548.85,502.55
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,7.1,7.47
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,562.29,535.1
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,51.59,54.06
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,77.47,73.91
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,2.37,2.47
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,1675.08,1614.49
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,167.03,181
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,23.86,22.01
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,26.34,27.27
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,151.61,146.48
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,132.9,138.11
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,30.02,28.89
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,63.77,67.76
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,62.62,58.98
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,383.05,414.42
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,10.38,9.59
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,47.36,54.53
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,84.34,73.26
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,8.66,9.36
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,460.93,426.3
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,236.71,253.97
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,16.82,15.67
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,90.92,99.85
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,43.9,39.97
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,116.52,123.67
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,34.26,32.26
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,32.47,34.59
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,123.07,115.5
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,98.25,105.03
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,40.64,38.02
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,1779.08,1894.37
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,2.2,2.07
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,36.88,40.23
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,108.37,99.37
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,4463.62,4765.04
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.86,0.81
"Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,28.581235,28.096278
"Primesieve - Length: 1e12 (sec)",LIB,88.592,84.583
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,20.99,16.72
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,8.45,6.48
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,8.92,8.66
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,8.69,8.68
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,8.54,8.74
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,3.45,3.59
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,3.37,3.55
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,3.39,3.56
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,4.43,4.73
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,2.46,2.59
"PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,2.47,2.58
"PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,2.48,2.59
"RocksDB - Test: Overwrite (Op/s)",HIB,487116,541161
"RocksDB - Test: Random Fill (Op/s)",HIB,505433,532197
"RocksDB - Test: Random Read (Op/s)",HIB,9192128,9961527
"RocksDB - Test: Update Random (Op/s)",HIB,186334,199263
"RocksDB - Test: Sequential Fill (Op/s)",HIB,813335,940711
"RocksDB - Test: Random Fill Sync (Op/s)",HIB,1719,1683
"RocksDB - Test: Read While Writing (Op/s)",HIB,500210,542153
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,504091,522145
"Stockfish - Chess Benchmark (Nodes/s)",HIB,2762544,2945032
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 4K (FPS)",HIB,0.928,0.952
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 4K (FPS)",HIB,7.551,7.569
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 4K (FPS)",HIB,24.902,24.624
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 4K (FPS)",HIB,25.118,26.134
"SVT-AV1 - Encoder Mode: Preset 4 - Input: Bosphorus 1080p (FPS)",HIB,3.643,3.806
"SVT-AV1 - Encoder Mode: Preset 8 - Input: Bosphorus 1080p (FPS)",HIB,28.85,31.373
"SVT-AV1 - Encoder Mode: Preset 12 - Input: Bosphorus 1080p (FPS)",HIB,184.734,184.085
"SVT-AV1 - Encoder Mode: Preset 13 - Input: Bosphorus 1080p (FPS)",HIB,240.46,238.626
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,11.23,11.56
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,39.04,41.38
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,42.93,46.1
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,45.59,48.86
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,22.17,23.26
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,5.35,6.03
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,19.69,21.44
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,7.28,7.79
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,20.09,21.52
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,7.44,7.87
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,20.37,21.63
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,7.5,7.96
"Timed Linux Kernel Compilation - Build: defconfig (sec)",LIB,496.16,497.181
"Timed Mesa Compilation - Time To Compile (sec)",LIB,143.674,143.249
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,17.657,14.432