Geekbench ML Score

697
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date July 22 2021 09:38 AM
Views 1

System Information

System Information
Operating System iOS 15.0
Model iPhone SE (2nd generation)
Model IDiPhone12,8
Motherboard D79AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 2.89 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 558
59.7 IPS
 
Image Classification (F16)
100% 546
58.5 IPS
 
Image Classification (I8)
81% 328
35.2 IPS
 
Image Segmentation (F32)
100% 877
5.42 IPS
 
Image Segmentation (F16)
100% 858
5.30 IPS
 
Image Segmentation (I8)
89% 1111
6.87 IPS
 
Pose Estimation (F32)
100% 278
1.13 IPS
 
Pose Estimation (F16)
100% 271
1.10 IPS
 
Pose Estimation (I8)
80% 335
1.36 IPS
 
Object Detection (F32)
100% 757
26.6 IPS
 
Object Detection (F16)
100% 403
14.2 IPS
 
Object Detection (I8)
52% 668
23.5 IPS
 
Face Detection (F32)
100% 730
8.39 IPS
 
Face Detection (F16)
100% 857
9.84 IPS
 
Face Detection (I8)
75% 698
8.02 IPS
 
Text Classification (F32)
100% 1999
790.6 IPS
 
Text Classification (F16)
100% 1966
777.8 IPS
 
Machine Translation (F32)
100% 1207
186.0 IPS
 
Machine Translation (F16)
100% 1204
185.5 IPS
 

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