Geekbench ML Score

1248
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

User Gothic_Day
Upload Date June 24 2021 12:43 AM
Views 3

System Information

System Information
Operating System iOS 15.0
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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 3747
401.5 IPS
 
Image Classification (F16)
100% 3746
401.4 IPS
 
Image Classification (I8)
81% 401
43.0 IPS
 
Image Segmentation (F32)
100% 1371
8.47 IPS
 
Image Segmentation (F16)
100% 1378
8.51 IPS
 
Image Segmentation (I8)
89% 732
4.52 IPS
 
Pose Estimation (F32)
100% 7195
29.1 IPS
 
Pose Estimation (F16)
100% 7195
29.1 IPS
 
Pose Estimation (I8)
80% 139
0.56 IPS
 
Object Detection (F32)
94% 1008
35.4 IPS
 
Object Detection (F16)
94% 2918
102.4 IPS
 
Object Detection (I8)
52% 539
18.9 IPS
 
Face Detection (F32)
67% 3630
41.7 IPS
 
Face Detection (F16)
67% 3679
42.3 IPS
 
Face Detection (I8)
75% 501
5.75 IPS
 
Text Classification (F32)
100% 357
141.2 IPS
 
Text Classification (F16)
100% 329
129.9 IPS
 
Machine Translation (F32)
100% 989
152.5 IPS
 
Machine Translation (F16)
100% 990
152.6 IPS
 

Compare

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