Geekbench ML Score

1634
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date September 15 2021 09:27 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 Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 3143
336.7 IPS
 
Image Classification (F16)
100% 3060
327.9 IPS
 
Image Classification (I8)
81% 449
48.1 IPS
 
Image Segmentation (F32)
100% 1574
9.72 IPS
 
Image Segmentation (F16)
100% 1544
9.54 IPS
 
Image Segmentation (I8)
89% 816
5.04 IPS
 
Pose Estimation (F32)
100% 8565
34.7 IPS
 
Pose Estimation (F16)
100% 8852
35.8 IPS
 
Pose Estimation (I8)
80% 146
0.59 IPS
 
Object Detection (F32)
94% 5331
187.1 IPS
 
Object Detection (F16)
94% 5158
181.0 IPS
 
Object Detection (I8)
52% 628
22.0 IPS
 
Face Detection (F32)
67% 3923
45.1 IPS
 
Face Detection (F16)
67% 3892
44.7 IPS
 
Face Detection (I8)
75% 606
6.96 IPS
 
Text Classification (F32)
100% 703
277.9 IPS
 
Text Classification (F16)
100% 738
291.8 IPS
 
Machine Translation (F32)
100% 1198
184.6 IPS
 
Machine Translation (F16)
100% 1210
186.6 IPS
 

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