Geekbench ML Score

723
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date May 31 2023 03:54 AM
Views 2

System Information

System Information
Operating System iOS 16.6
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% 535
57.3 IPS
 
Image Classification (F16)
100% 535
57.3 IPS
 
Image Classification (I8)
81% 321
34.4 IPS
 
Image Segmentation (F32)
100% 877
5.42 IPS
 
Image Segmentation (F16)
100% 859
5.31 IPS
 
Image Segmentation (I8)
89% 1101
6.80 IPS
 
Pose Estimation (F32)
100% 274
1.11 IPS
 
Pose Estimation (F16)
100% 268
1.08 IPS
 
Pose Estimation (I8)
80% 335
1.36 IPS
 
Object Detection (F32)
100% 795
27.9 IPS
 
Object Detection (F16)
100% 790
27.7 IPS
 
Object Detection (I8)
52% 608
21.3 IPS
 
Face Detection (F32)
100% 983
11.3 IPS
 
Face Detection (F16)
100% 957
11.0 IPS
 
Face Detection (I8)
75% 710
8.16 IPS
 
Text Classification (F32)
100% 1760
696.2 IPS
 
Text Classification (F16)
100% 1750
692.3 IPS
 
Machine Translation (F32)
100% 1215
187.2 IPS
 
Machine Translation (F16)
100% 1203
185.4 IPS
 

Compare

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