Geekbench ML Score

426
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 08 2022 10:20 PM
Views 1

System Information

System Information
Operating System iOS 16.1.2
Model iPhone 8
Model IDiPhone10,1
Motherboard D20AP
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 1.93 GB
Inference Information
Framework TensorFlow Lite
Backend Core ML

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 218
23.4 IPS
 
Image Classification (F16)
100% 217
23.3 IPS
 
Image Classification (I8)
81% 360
38.5 IPS
 
Image Segmentation (F32)
100% 683
4.22 IPS
 
Image Segmentation (F16)
100% 699
4.32 IPS
 
Image Segmentation (I8)
89% 662
4.09 IPS
 
Pose Estimation (F32)
100% 685
2.77 IPS
 
Pose Estimation (F16)
100% 691
2.80 IPS
 
Pose Estimation (I8)
80% 131
0.53 IPS
 
Object Detection (F32)
100% 545
19.1 IPS
 
Object Detection (F16)
100% 573
20.1 IPS
 
Object Detection (I8)
52% 514
18.1 IPS
 
Face Detection (F32)
100% 703
8.08 IPS
 
Face Detection (F16)
100% 724
8.32 IPS
 
Face Detection (I8)
75% 491
5.64 IPS
 
Text Classification (F32)
100% 113
44.6 IPS
 
Text Classification (F16)
100% 108
42.6 IPS
 
Machine Translation (F32)
100% 753
116.0 IPS
 
Machine Translation (F16)
100% 747
115.1 IPS
 

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