Geekbench ML Score

705
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 04:44 AM
Views 1

System Information

System Information
Operating System iOS 16.1.1
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% 548
58.7 IPS
 
Image Classification (F16)
100% 543
58.2 IPS
 
Image Classification (I8)
81% 324
34.7 IPS
 
Image Segmentation (F32)
100% 890
5.50 IPS
 
Image Segmentation (F16)
100% 866
5.35 IPS
 
Image Segmentation (I8)
89% 1109
6.85 IPS
 
Pose Estimation (F32)
100% 283
1.14 IPS
 
Pose Estimation (F16)
100% 276
1.12 IPS
 
Pose Estimation (I8)
80% 338
1.37 IPS
 
Object Detection (F32)
100% 797
28.0 IPS
 
Object Detection (F16)
100% 489
17.2 IPS
 
Object Detection (I8)
52% 691
24.2 IPS
 
Face Detection (F32)
100% 800
9.19 IPS
 
Face Detection (F16)
100% 856
9.83 IPS
 
Face Detection (I8)
75% 706
8.11 IPS
 
Text Classification (F32)
100% 1749
691.9 IPS
 
Text Classification (F16)
100% 1805
714.1 IPS
 
Machine Translation (F32)
100% 1219
187.8 IPS
 
Machine Translation (F16)
100% 1204
185.6 IPS
 

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