Geekbench ML Score

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

Result Information

Upload Date September 15 2021 09:23 AM
Views 1

System Information

System Information
Operating System iOS 14.7.1
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% 552
59.1 IPS
 
Image Classification (F16)
100% 545
58.4 IPS
 
Image Classification (I8)
81% 336
36.0 IPS
 
Image Segmentation (F32)
100% 866
5.35 IPS
 
Image Segmentation (F16)
100% 851
5.26 IPS
 
Image Segmentation (I8)
89% 1122
6.93 IPS
 
Pose Estimation (F32)
100% 276
1.12 IPS
 
Pose Estimation (F16)
100% 269
1.09 IPS
 
Pose Estimation (I8)
80% 127
0.52 IPS
 
Object Detection (F32)
100% 641
22.5 IPS
 
Object Detection (F16)
100% 761
26.7 IPS
 
Object Detection (I8)
52% 616
21.6 IPS
 
Face Detection (F32)
100% 841
9.66 IPS
 
Face Detection (F16)
100% 855
9.82 IPS
 
Face Detection (I8)
75% 706
8.11 IPS
 
Text Classification (F32)
100% 2009
794.5 IPS
 
Text Classification (F16)
100% 2014
796.6 IPS
 
Machine Translation (F32)
100% 1202
185.3 IPS
 
Machine Translation (F16)
100% 1201
185.2 IPS
 

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