Geekbench ML Score

721
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 25 2021 04:54 PM
Views 2

System Information

System Information
Operating System iOS 15.1
Model iPhone SE (2nd generation)
Model IDiPhone12,8
Motherboard D79AP
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 2.89 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 550
58.9 IPS
 
Image Classification (F16)
100% 539
57.8 IPS
 
Image Classification (I8)
81% 318
34.1 IPS
 
Image Segmentation (F32)
100% 866
5.35 IPS
 
Image Segmentation (F16)
100% 849
5.24 IPS
 
Image Segmentation (I8)
89% 1109
6.85 IPS
 
Pose Estimation (F32)
100% 271
1.09 IPS
 
Pose Estimation (F16)
100% 268
1.08 IPS
 
Pose Estimation (I8)
80% 331
1.34 IPS
 
Object Detection (F32)
100% 780
27.4 IPS
 
Object Detection (F16)
100% 783
27.5 IPS
 
Object Detection (I8)
52% 598
21.0 IPS
 
Face Detection (F32)
100% 914
10.5 IPS
 
Face Detection (F16)
100% 844
9.70 IPS
 
Face Detection (I8)
75% 692
7.95 IPS
 
Text Classification (F32)
100% 2010
794.8 IPS
 
Text Classification (F16)
100% 2006
793.4 IPS
 
Machine Translation (F32)
100% 1165
179.6 IPS
 
Machine Translation (F16)
100% 1191
183.6 IPS
 

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