Geekbench ML Score

434
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64

Result Information

Upload Date October 24 2021 01:17 AM
Views 1

System Information

System Information
Operating System iOS 15.0.2
Model iPhone X
Model IDiPhone10,6
Motherboard D221AP
CPU Information
Name Apple A11 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.39 GHz
L1 Instruction Cache48.0 KB x 1
L1 Data Cache32.0 KB x 1
L2 Cache8.00 MB x 1
Memory Information
Size 2.76 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 233
24.9 IPS
 
Image Classification (F16)
100% 235
25.2 IPS
 
Image Classification (I8)
81% 359
38.5 IPS
 
Image Segmentation (F32)
100% 744
4.60 IPS
 
Image Segmentation (F16)
100% 749
4.63 IPS
 
Image Segmentation (I8)
89% 662
4.09 IPS
 
Pose Estimation (F32)
100% 677
2.74 IPS
 
Pose Estimation (F16)
100% 689
2.79 IPS
 
Pose Estimation (I8)
80% 132
0.53 IPS
 
Object Detection (F32)
100% 456
16.0 IPS
 
Object Detection (F16)
100% 636
22.3 IPS
 
Object Detection (I8)
52% 511
17.9 IPS
 
Face Detection (F32)
100% 710
8.16 IPS
 
Face Detection (F16)
100% 798
9.16 IPS
 
Face Detection (I8)
75% 490
5.63 IPS
 
Text Classification (F32)
100% 112
44.2 IPS
 
Text Classification (F16)
100% 115
45.6 IPS
 
Machine Translation (F32)
100% 745
114.8 IPS
 
Machine Translation (F16)
100% 758
116.8 IPS
 

Compare

Set Baseline

Share

Geekbench ML now available for download