Geekbench ML Score

682
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date October 24 2021 01:36 AM
Views 2

System Information

System Information
Operating System iOS 15.0.2
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% 549
58.9 IPS
 
Image Classification (F16)
100% 532
57.0 IPS
 
Image Classification (I8)
81% 310
33.2 IPS
 
Image Segmentation (F32)
100% 861
5.32 IPS
 
Image Segmentation (F16)
100% 836
5.16 IPS
 
Image Segmentation (I8)
89% 1089
6.73 IPS
 
Pose Estimation (F32)
100% 268
1.08 IPS
 
Pose Estimation (F16)
100% 112
0.45 IPS
 
Pose Estimation (I8)
80% 302
1.22 IPS
 
Object Detection (F32)
100% 786
27.6 IPS
 
Object Detection (F16)
100% 778
27.3 IPS
 
Object Detection (I8)
52% 614
21.5 IPS
 
Face Detection (F32)
100% 868
9.98 IPS
 
Face Detection (F16)
100% 891
10.2 IPS
 
Face Detection (I8)
75% 711
8.17 IPS
 
Text Classification (F32)
100% 1999
790.8 IPS
 
Text Classification (F16)
100% 1909
755.0 IPS
 
Machine Translation (F32)
100% 1187
182.9 IPS
 
Machine Translation (F16)
100% 1181
182.1 IPS
 

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