Geekbench ML Score

836
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date February 22 2023 01:00 PM
Views 1

System Information

System Information
Operating System iOS 16.2
Model iPhone 12 Mini
Model IDiPhone13,1
Motherboard D52gAP
CPU Information
Name Apple A14 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 2.99 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 3.60 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 622
66.7 IPS
 
Image Classification (F16)
100% 528
56.6 IPS
 
Image Classification (I8)
81% 406
43.5 IPS
 
Image Segmentation (F32)
100% 909
5.62 IPS
 
Image Segmentation (F16)
100% 887
5.48 IPS
 
Image Segmentation (I8)
89% 1340
8.28 IPS
 
Pose Estimation (F32)
100% 342
1.39 IPS
 
Pose Estimation (F16)
100% 337
1.36 IPS
 
Pose Estimation (I8)
80% 420
1.70 IPS
 
Object Detection (F32)
100% 850
29.8 IPS
 
Object Detection (F16)
100% 856
30.0 IPS
 
Object Detection (I8)
52% 708
24.9 IPS
 
Face Detection (F32)
100% 1042
12.0 IPS
 
Face Detection (F16)
100% 1012
11.6 IPS
 
Face Detection (I8)
75% 882
10.1 IPS
 
Text Classification (F32)
100% 1836
726.4 IPS
 
Text Classification (F16)
100% 2014
796.4 IPS
 
Machine Translation (F32)
100% 1653
254.8 IPS
 
Machine Translation (F16)
100% 1649
254.1 IPS
 

Compare

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