Geekbench ML Score

438
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date October 06 2022 10:34 PM
Views 2

System Information

System Information
Operating System iOS 16.0.2
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
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 236
25.3 IPS
 
Image Classification (F16)
100% 233
24.9 IPS
 
Image Classification (I8)
81% 358
38.4 IPS
 
Image Segmentation (F32)
100% 736
4.55 IPS
 
Image Segmentation (F16)
100% 736
4.55 IPS
 
Image Segmentation (I8)
89% 660
4.08 IPS
 
Pose Estimation (F32)
100% 670
2.71 IPS
 
Pose Estimation (F16)
100% 670
2.71 IPS
 
Pose Estimation (I8)
80% 128
0.52 IPS
 
Object Detection (F32)
100% 621
21.8 IPS
 
Object Detection (F16)
100% 564
19.8 IPS
 
Object Detection (I8)
52% 504
17.7 IPS
 
Face Detection (F32)
100% 740
8.50 IPS
 
Face Detection (F16)
100% 830
9.53 IPS
 
Face Detection (I8)
75% 480
5.51 IPS
 
Text Classification (F32)
100% 127
50.1 IPS
 
Text Classification (F16)
100% 116
45.7 IPS
 
Machine Translation (F32)
100% 724
111.6 IPS
 
Machine Translation (F16)
100% 717
110.5 IPS
 

Compare

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