Geekbench ML Score

706
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 17 2022 02:06 PM
Views 1

System Information

System Information
Operating System iOS 15.5
Model iPhone 11
Model IDiPhone12,1
Motherboard N104AP
CPU Information
Name Apple A13 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.66 GHz
L1 Instruction Cache96.0 KB x 1
L1 Data Cache48.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.76 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 548
58.7 IPS
 
Image Classification (F16)
100% 501
53.7 IPS
 
Image Classification (I8)
81% 316
33.9 IPS
 
Image Segmentation (F32)
100% 874
5.40 IPS
 
Image Segmentation (F16)
100% 817
5.05 IPS
 
Image Segmentation (I8)
89% 1095
6.76 IPS
 
Pose Estimation (F32)
100% 242
0.98 IPS
 
Pose Estimation (F16)
100% 243
0.98 IPS
 
Pose Estimation (I8)
80% 332
1.34 IPS
 
Object Detection (F32)
100% 777
27.3 IPS
 
Object Detection (F16)
100% 796
27.9 IPS
 
Object Detection (I8)
52% 601
21.1 IPS
 
Face Detection (F32)
100% 962
11.0 IPS
 
Face Detection (F16)
100% 950
10.9 IPS
 
Face Detection (I8)
75% 720
8.27 IPS
 
Text Classification (F32)
100% 1744
689.7 IPS
 
Text Classification (F16)
100% 1677
663.1 IPS
 
Machine Translation (F32)
100% 1200
184.9 IPS
 
Machine Translation (F16)
100% 1202
185.3 IPS
 

Compare

Set Baseline Geekbench 6 now available