Geekbench ML Score

698
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 03:33 PM
Views 1

System Information

System Information
Operating System iOS 16.1.2
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% 546
58.5 IPS
 
Image Classification (F16)
100% 535
57.4 IPS
 
Image Classification (I8)
81% 316
33.9 IPS
 
Image Segmentation (F32)
100% 871
5.38 IPS
 
Image Segmentation (F16)
100% 853
5.27 IPS
 
Image Segmentation (I8)
89% 1101
6.80 IPS
 
Pose Estimation (F32)
100% 270
1.09 IPS
 
Pose Estimation (F16)
100% 228
0.92 IPS
 
Pose Estimation (I8)
80% 330
1.34 IPS
 
Object Detection (F32)
100% 772
27.1 IPS
 
Object Detection (F16)
100% 767
26.9 IPS
 
Object Detection (I8)
52% 595
20.9 IPS
 
Face Detection (F32)
100% 851
9.78 IPS
 
Face Detection (F16)
100% 841
9.67 IPS
 
Face Detection (I8)
75% 685
7.87 IPS
 
Text Classification (F32)
100% 1716
678.8 IPS
 
Text Classification (F16)
100% 1697
671.1 IPS
 
Machine Translation (F32)
100% 1191
183.6 IPS
 
Machine Translation (F16)
100% 1191
183.6 IPS
 

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