Geekbench ML Score

1445
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date September 23 2022 06:37 AM
Views 1

System Information

System Information
Operating System iOS 16.0
Model iPhone XS Max
Model IDiPhone11,6
Motherboard D331pAP
CPU Information
Name Apple A12 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.49 GHz
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache2.00 MB x 1
Memory Information
Size 3.67 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 4111
440.4 IPS
 
Image Classification (F16)
100% 4126
442.1 IPS
 
Image Classification (I8)
81% 402
43.1 IPS
 
Image Segmentation (F32)
100% 1393
8.61 IPS
 
Image Segmentation (F16)
100% 1390
8.59 IPS
 
Image Segmentation (I8)
89% 748
4.62 IPS
 
Pose Estimation (F32)
100% 7225
29.2 IPS
 
Pose Estimation (F16)
100% 7601
30.8 IPS
 
Pose Estimation (I8)
80% 141
0.57 IPS
 
Object Detection (F32)
94% 4190
147.0 IPS
 
Object Detection (F16)
94% 4238
148.7 IPS
 
Object Detection (I8)
52% 568
19.9 IPS
 
Face Detection (F32)
67% 4007
46.0 IPS
 
Face Detection (F16)
67% 3985
45.8 IPS
 
Face Detection (I8)
75% 552
6.34 IPS
 
Text Classification (F32)
100% 401
158.4 IPS
 
Text Classification (F16)
100% 405
160.2 IPS
 
Machine Translation (F32)
100% 992
153.0 IPS
 
Machine Translation (F16)
100% 996
153.5 IPS
 

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