Geekbench ML Score

690
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date June 15 2021 02:50 PM
Views 1

System Information

System Information
Operating System iOS 14.6
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% 551
59.1 IPS
 
Image Classification (F16)
100% 542
58.1 IPS
 
Image Classification (I8)
81% 339
36.3 IPS
 
Image Segmentation (F32)
100% 873
5.39 IPS
 
Image Segmentation (F16)
100% 850
5.25 IPS
 
Image Segmentation (I8)
89% 1118
6.90 IPS
 
Pose Estimation (F32)
100% 274
1.11 IPS
 
Pose Estimation (F16)
100% 103
0.42 IPS
 
Pose Estimation (I8)
80% 288
1.16 IPS
 
Object Detection (F32)
100% 791
27.8 IPS
 
Object Detection (F16)
100% 782
27.4 IPS
 
Object Detection (I8)
52% 615
21.6 IPS
 
Face Detection (F32)
100% 896
10.3 IPS
 
Face Detection (F16)
100% 916
10.5 IPS
 
Face Detection (I8)
75% 710
8.16 IPS
 
Text Classification (F32)
100% 2013
796.0 IPS
 
Text Classification (F16)
100% 2002
791.7 IPS
 
Machine Translation (F32)
100% 1189
183.3 IPS
 
Machine Translation (F16)
100% 1207
186.0 IPS
 

Compare

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