Geekbench ML Score

307
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 11:09 AM
Views 1

System Information

System Information
Operating System iOS 16.1.2
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% 190
20.4 IPS
 
Image Classification (F16)
100% 197
21.1 IPS
 
Image Classification (I8)
81% 179
19.2 IPS
 
Image Segmentation (F32)
100% 369
2.28 IPS
 
Image Segmentation (F16)
100% 371
2.29 IPS
 
Image Segmentation (I8)
89% 515
3.18 IPS
 
Pose Estimation (F32)
100% 83
0.34 IPS
 
Pose Estimation (F16)
100% 83
0.33 IPS
 
Pose Estimation (I8)
80% 120
0.49 IPS
 
Object Detection (F32)
100% 337
11.8 IPS
 
Object Detection (F16)
100% 319
11.2 IPS
 
Object Detection (I8)
52% 307
10.8 IPS
 
Face Detection (F32)
100% 376
4.32 IPS
 
Face Detection (F16)
100% 371
4.27 IPS
 
Face Detection (I8)
75% 337
3.87 IPS
 
Text Classification (F32)
100% 845
334.1 IPS
 
Text Classification (F16)
100% 845
334.2 IPS
 
Machine Translation (F32)
100% 670
103.2 IPS
 
Machine Translation (F16)
100% 655
100.9 IPS
 

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