Geekbench ML Score

648
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 16 2023 08:55 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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 546
58.5 IPS
 
Image Classification (F16)
100% 530
56.8 IPS
 
Image Classification (I8)
81% 314
33.7 IPS
 
Image Segmentation (F32)
100% 843
5.21 IPS
 
Image Segmentation (F16)
100% 814
5.03 IPS
 
Image Segmentation (I8)
89% 1079
6.67 IPS
 
Pose Estimation (F32)
100% 258
1.04 IPS
 
Pose Estimation (F16)
100% 83
0.34 IPS
 
Pose Estimation (I8)
80% 223
0.90 IPS
 
Object Detection (F32)
100% 780
27.4 IPS
 
Object Detection (F16)
100% 766
26.9 IPS
 
Object Detection (I8)
52% 594
20.9 IPS
 
Face Detection (F32)
100% 860
9.88 IPS
 
Face Detection (F16)
100% 884
10.2 IPS
 
Face Detection (I8)
75% 686
7.88 IPS
 
Text Classification (F32)
100% 1828
723.1 IPS
 
Text Classification (F16)
100% 1760
696.1 IPS
 
Machine Translation (F32)
100% 1185
182.6 IPS
 
Machine Translation (F16)
100% 1181
181.9 IPS
 

Compare

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