Geekbench ML Score

416
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 14 2022 09:41 AM
Views 1

System Information

System Information
Operating System iOS 15.5
Model iPhone 8
Model IDiPhone10,4
Motherboard D201AP
CPU Information
Name Apple A11 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.39 GHz
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache8.00 MB x 1
Memory Information
Size 1.93 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 223
23.9 IPS
 
Image Classification (F16)
100% 236
25.3 IPS
 
Image Classification (I8)
81% 354
38.0 IPS
 
Image Segmentation (F32)
100% 733
4.53 IPS
 
Image Segmentation (F16)
100% 744
4.60 IPS
 
Image Segmentation (I8)
89% 642
3.97 IPS
 
Pose Estimation (F32)
100% 547
2.21 IPS
 
Pose Estimation (F16)
100% 596
2.41 IPS
 
Pose Estimation (I8)
80% 118
0.48 IPS
 
Object Detection (F32)
100% 463
16.3 IPS
 
Object Detection (F16)
100% 613
21.5 IPS
 
Object Detection (I8)
52% 505
17.7 IPS
 
Face Detection (F32)
100% 689
7.92 IPS
 
Face Detection (F16)
100% 770
8.85 IPS
 
Face Detection (I8)
75% 463
5.32 IPS
 
Text Classification (F32)
100% 106
41.8 IPS
 
Text Classification (F16)
100% 113
44.8 IPS
 
Machine Translation (F32)
100% 746
114.9 IPS
 
Machine Translation (F16)
100% 744
114.7 IPS
 

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