icelake 2023
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.
HTML result view exported from: https://openbenchmarking.org/result/2310250-NE-ICELAKE2082&rdt&grs.
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
NCNN
Target: CPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU - Model: mnasnet
NCNN
Target: CPU - Model: mnasnet
oneDNN
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
Intel Open Image Denoise
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
oneDNN
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
oneDNN
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
NCNN
Target: Vulkan GPU - Model: FastestDet
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 4K
oneDNN
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
Intel Open Image Denoise
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Intel Open Image Denoise
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
oneDNN
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
NCNN
Target: Vulkan GPU - Model: resnet18
oneDNN
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
NCNN
Target: CPU - Model: resnet18
SVT-AV1
Encoder Mode: Preset 8 - Input: Bosphorus 4K
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Stress-NG
Test: Wide Vector Math
Stress-NG
Test: Cloning
NCNN
Target: CPU - Model: blazeface
libavif avifenc
Encoder Speed: 10, Lossless
libavif avifenc
Encoder Speed: 6
NCNN
Target: Vulkan GPU - Model: alexnet
NCNN
Target: CPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: blazeface
libavif avifenc
Encoder Speed: 6, Lossless
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 4K
libavif avifenc
Encoder Speed: 2
NCNN
Target: Vulkan GPU - Model: vgg16
libavif avifenc
Encoder Speed: 0
NCNN
Target: CPU - Model: vgg16
NCNN
Target: CPU - Model: alexnet
Stress-NG
Test: Vector Shuffle
NCNN
Target: CPU - Model: googlenet
NCNN
Target: Vulkan GPU - Model: vision_transformer
NCNN
Target: Vulkan GPU - Model: googlenet
NCNN
Target: Vulkan GPU - Model: efficientnet-b0
NCNN
Target: CPU - Model: regnety_400m
NCNN
Target: Vulkan GPU - Model: resnet50
NCNN
Target: Vulkan GPU - Model: squeezenet_ssd
oneDNN
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
NCNN
Target: Vulkan GPU - Model: mobilenet
SVT-AV1
Encoder Mode: Preset 4 - Input: Bosphorus 4K
NCNN
Target: Vulkan GPU - Model: regnety_400m
NCNN
Target: CPU - Model: mobilenet
NCNN
Target: CPU - Model: yolov4-tiny
NCNN
Target: Vulkan GPU - Model: yolov4-tiny
NCNN
Target: CPU - Model: squeezenet_ssd
NCNN
Target: CPU - Model: vision_transformer
NCNN
Target: CPU - Model: efficientnet-b0
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon
OpenRadioss
Model: Bird Strike on Windshield
Embree
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Embree
Binary: Pathtracer - Model: Crown
NCNN
Target: Vulkan GPU - Model: shufflenet-v2
NCNN
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
FluidX3D
Test: FP32-FP32
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K
NCNN
Target: CPU-v2-v2 - Model: mobilenet-v2
NCNN
Target: CPU - Model: FastestDet
QuantLib
Configuration: Multi-Threaded
Embree
Binary: Pathtracer - Model: Asian Dragon Obj
NCNN
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
SVT-AV1
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
OpenRadioss
Model: Chrysler Neon 1M
Embree
Binary: Pathtracer ISPC - Model: Crown
OpenRadioss
Model: Bumper Beam
FluidX3D
Test: FP32-FP16S
AOM AV1
Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
FluidX3D
Test: FP32-FP16C
SVT-AV1
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
OpenRadioss
Model: INIVOL and Fluid Structure Interaction Drop Container
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 4K
OpenRadioss
Model: Cell Phone Drop Test
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
oneDNN
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K
OpenRadioss
Model: Rubber O-Ring Seal Installation
QuantLib
Configuration: Single-Threaded
AOM AV1
Encoder Mode: Speed 11 Realtime - Input: Bosphorus 1080p
AOM AV1
Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p
Embree
Binary: Pathtracer - Model: Asian Dragon
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
easyWave
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
oneDNN
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
NCNN
Target: CPU-v3-v3 - Model: mobilenet-v3
Phoronix Test Suite v10.8.5