Geekbench ML Score

676
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date December 09 2022 02:40 AM
Views 2

System Information

System Information
Operating System iOS 15.6.1
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

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 549
58.8 IPS
 
Image Classification (F16)
100% 531
56.9 IPS
 
Image Classification (I8)
81% 263
28.2 IPS
 
Image Segmentation (F32)
100% 852
5.26 IPS
 
Image Segmentation (F16)
100% 828
5.12 IPS
 
Image Segmentation (I8)
89% 1076
6.65 IPS
 
Pose Estimation (F32)
100% 260
1.05 IPS
 
Pose Estimation (F16)
100% 254
1.03 IPS
 
Pose Estimation (I8)
80% 313
1.27 IPS
 
Object Detection (F32)
100% 762
26.7 IPS
 
Object Detection (F16)
100% 755
26.5 IPS
 
Object Detection (I8)
52% 565
19.8 IPS
 
Face Detection (F32)
100% 960
11.0 IPS
 
Face Detection (F16)
100% 936
10.8 IPS
 
Face Detection (I8)
75% 693
7.97 IPS
 
Text Classification (F32)
100% 1353
535.1 IPS
 
Text Classification (F16)
100% 1366
540.2 IPS
 
Machine Translation (F32)
100% 1141
175.9 IPS
 
Machine Translation (F16)
100% 1150
177.3 IPS
 

Compare

Set Baseline