Geekbench ML Score

618
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date September 28 2021 09:07 PM
Views 5

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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 512
54.9 IPS
 
Image Classification (F16)
100% 516
55.3 IPS
 
Image Classification (I8)
81% 337
36.1 IPS
 
Image Segmentation (F32)
100% 783
4.84 IPS
 
Image Segmentation (F16)
100% 770
4.76 IPS
 
Image Segmentation (I8)
89% 1008
6.22 IPS
 
Pose Estimation (F32)
100% 113
0.46 IPS
 
Pose Estimation (F16)
100% 172
0.70 IPS
 
Pose Estimation (I8)
80% 321
1.30 IPS
 
Object Detection (F32)
100% 724
25.4 IPS
 
Object Detection (F16)
100% 721
25.3 IPS
 
Object Detection (I8)
52% 443
15.5 IPS
 
Face Detection (F32)
100% 843
9.69 IPS
 
Face Detection (F16)
100% 799
9.18 IPS
 
Face Detection (I8)
75% 686
7.88 IPS
 
Text Classification (F32)
100% 1748
691.3 IPS
 
Text Classification (F16)
100% 1751
692.6 IPS
 
Machine Translation (F32)
100% 1001
154.2 IPS
 
Machine Translation (F16)
100% 997
153.7 IPS
 

Compare

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