Geekbench ML Score

718
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date October 23 2021 10:21 PM
Views 1

System Information

System Information
Operating System iOS 15.1
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% 553
59.3 IPS
 
Image Classification (F16)
100% 543
58.1 IPS
 
Image Classification (I8)
81% 314
33.6 IPS
 
Image Segmentation (F32)
100% 864
5.34 IPS
 
Image Segmentation (F16)
100% 845
5.22 IPS
 
Image Segmentation (I8)
89% 1100
6.79 IPS
 
Pose Estimation (F32)
100% 271
1.10 IPS
 
Pose Estimation (F16)
100% 266
1.08 IPS
 
Pose Estimation (I8)
80% 323
1.31 IPS
 
Object Detection (F32)
100% 777
27.3 IPS
 
Object Detection (F16)
100% 774
27.2 IPS
 
Object Detection (I8)
52% 606
21.3 IPS
 
Face Detection (F32)
100% 900
10.3 IPS
 
Face Detection (F16)
100% 872
10.0 IPS
 
Face Detection (I8)
75% 703
8.08 IPS
 
Text Classification (F32)
100% 1892
748.2 IPS
 
Text Classification (F16)
100% 1927
762.4 IPS
 
Machine Translation (F32)
100% 1185
182.7 IPS
 
Machine Translation (F16)
100% 1210
186.5 IPS
 

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