Geekbench ML Score

1189
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date October 23 2021 03:35 AM
Views 1

System Information

System Information
Operating System iOS 14.8
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 Cache128 KB x 1
L1 Data Cache128 KB x 1
L2 Cache8.00 MB x 1
Memory Information
Size 3.68 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 3081
330.1 IPS
 
Image Classification (F16)
100% 2961
317.3 IPS
 
Image Classification (I8)
81% 401
43.0 IPS
 
Image Segmentation (F32)
100% 1331
8.22 IPS
 
Image Segmentation (F16)
100% 1333
8.23 IPS
 
Image Segmentation (I8)
89% 745
4.60 IPS
 
Pose Estimation (F32)
100% 7293
29.5 IPS
 
Pose Estimation (F16)
100% 7238
29.3 IPS
 
Pose Estimation (I8)
80% 141
0.57 IPS
 
Object Detection (F32)
94% 3879
136.1 IPS
 
Object Detection (F16)
94% 1517
53.3 IPS
 
Object Detection (I8)
52% 391
13.7 IPS
 
Face Detection (F32)
67% 3330
38.3 IPS
 
Face Detection (F16)
67% 3372
38.7 IPS
 
Face Detection (I8)
75% 505
5.80 IPS
 
Text Classification (F32)
100% 251
99.3 IPS
 
Text Classification (F16)
100% 231
91.5 IPS
 
Machine Translation (F32)
100% 995
153.4 IPS
 
Machine Translation (F16)
100% 992
152.9 IPS
 

Compare

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