Geekbench ML Score

863
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 25 2021 04:33 PM
Views 1

System Information

System Information
Operating System iOS 15.1
Model iPhone 12 Pro
Model IDiPhone13,3
Motherboard D53pAP
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 5.60 GB
Inference Information
Framework TensorFlow Lite
Backend CPU

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 640
68.6 IPS
 
Image Classification (F16)
100% 589
63.1 IPS
 
Image Classification (I8)
81% 398
42.6 IPS
 
Image Segmentation (F32)
100% 963
5.95 IPS
 
Image Segmentation (F16)
100% 914
5.65 IPS
 
Image Segmentation (I8)
89% 1354
8.37 IPS
 
Pose Estimation (F32)
100% 346
1.40 IPS
 
Pose Estimation (F16)
100% 339
1.37 IPS
 
Pose Estimation (I8)
80% 418
1.69 IPS
 
Object Detection (F32)
100% 853
29.9 IPS
 
Object Detection (F16)
100% 863
30.3 IPS
 
Object Detection (I8)
52% 712
25.0 IPS
 
Face Detection (F32)
100% 1039
11.9 IPS
 
Face Detection (F16)
100% 1019
11.7 IPS
 
Face Detection (I8)
75% 812
9.33 IPS
 
Text Classification (F32)
100% 2331
921.8 IPS
 
Text Classification (F16)
100% 2343
926.7 IPS
 
Machine Translation (F32)
100% 1678
258.7 IPS
 
Machine Translation (F16)
100% 1681
259.1 IPS
 

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